supply chain capstone project upgrad

Advanced Certificate in Supply Chain Management from IMT Ghaziabad

In association with

Recommended 8-10 hours /week

Imt associate alumni status, 0 cost emi available, program overview, key highlights.

"Our aim is simple: We strive to create high-impact, hands-on experiences that prepare students for meaningful and productive careers.” - Ronnie Screwvala, Co-Founder, upGrad

Best-in-class supply chain management course content taught by leading faculty and industry leaders in the form of online supply chain classes, recorded video lectures, case studies and live projects

About the Program

Gain industry focused supply chain learnings to solve real business problems and receive personalised industry and career mentorship, soft skill training and much more.

Industry Focused Learning

Combine theory and practical learnings from top IMT faculty and industry experts to excel in the supply chain industry.

Personalised Industry Mentorship

Get mentored on the career front by an experienced professional and receive personalised feedback.

Hands-on Learning

Solve numerous industry relevant case studies, assignments and a project.

Top Skills You Will Learn

Who is this program for, job opportunity, minimum eligibility, upgrad excel.

• Become a supply chain expert in 6 months
• Learn from industry leaders
• Network with like minded professionals

Explore our Learning Platform

Top Notch Learning

Learn from leading faculty and industry experts.

Dr Mrinalini Shah

Dr Ratri Parida

Sunil Bharadwaj

Kinchit Shah

Shyam Ramamurthy

Prep Course (Launched before the cohort starts)

• Data Analysis in Excel
• Statistics for Managers
• Problem-Solving Skills

Introduction to Supply Chain Management

• Getting Started with Operations and Supply Chain
• Achieving Strategic Fit in Supply Chain
• Supply Chain Drivers and Metrics
• Supply Chain Success Stories

Demand Forecasting & Analytics

• Demand Planning
• Quantitative and Qualitative Methods of Forecasting
• Aggregate Planning
• Sales and Operations Planning

Inventory and Warehouse Management

• Inventory Systems in Supply Chain
• Role of Uncertainty: Safety Inventory Model
• Linking Product Availability to Profit
• Warehouse Management

Logistics and Distribution Management

• Logistics and Transportation Model
• Network Design Models
• Fleet Analytics
• Distribution Models
• Logistics 4.0

Strategic Sourcing and Procurement

• Role of Sourcing, Strategic Sourcing & Best Practices
• Development of Sourcing Planning Analysis
• e-Procurement
• Legal Framework for Sourcing
• Pricing and Revenue Management

Supply Chain Strategy & Emerging Trends

• Supply Chain Transformation
• Supply Chain Integration
• Risk and Resilience in Supply Chains
• Green and Sustainable Supply Chain
• Supply Chain - Industry 4.0

Capstone Project

Project and assignments.

• Industry-relevant case studies and assignments to help you apply your learnings in actual business scenarios
• Detailed submission feedback and improvement area identification and guidance

upGrad Career Assistance

Admission process, fill the application form, get shortlisted, pay the block amount of rs.15k, the upgrad advantage, learning support.

• Receive unparalleled guidance from industry mentors, teaching assistants and graders
• Receive one-on-one feedback on submissions and personalised feedbacks on improvement
• Available all days 9 AM - 9 PM IST.
• For urgent queries, use the Call Back option on the platform.

Doubt Resolution

• Dedicated doubt resolution sessions to facilitate continuous learning and growth

Career Counselling

• Get personalised career pathing from experts to chart out best opportunities

Program Fees

₹ nan ( incl. gst ) *, empowering learners of tomorrow.

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Frequently Asked Questions

Course curriculum, who can do this program.

Any graduate or 10+2+3 diploma holder can do the program.

Can I do this program in a shorter duration?

No, you have to complete the program in 6 months.

Can I sign up only for a few specific modules if I am interested in?

No, the program is designed to be completed in its entirety, and standalone modules cannot be selected.

What type of learning experience should I expect?

The content will be a mix of interactive lectures from industry leaders as well as world-renowned faculty. Additionally, the program comprises live lectures dedicated to solving your academic queries and reinforcing learning.

Refund Policy/Financials

Is there any deferral or refund policy for this programme.

1. You can claim a refund for the course at any time before the Cohort Commencement Date by requesting on the website and sending an email to your Student Mentor and Admissions Counselor with the reasons listed. A processing fee of Rs. 10,000 will be levied in case a refund is claimed. 2. Student has to pay the full fee within 7 days from the Caution Amount payment date or before the Cohort Commencement Date whichever is earlier otherwise the admission letter will be rescinded and a processing fee of Rs. 10,000 will be levied. 3. Student must apply for a loan within 48 hours from the Caution Amount payment date or before the Cohort Commencement Date whichever is earlier, otherwise, the admission letter will be rescinded and a processing fee of Rs. 10,000 will be levied. 4. You shall not be eligible for a refund of any amount paid towards the Program if any discrepancy is identified between your application and self-attested documents including but not limited to wrong details about your grades or any other incorrect information provided in your application. Further, the fees are non-refundable once the classes commence. Request for refund must be sent via e-mail in the prescribed Refund Request Form. The refund will be processed within 30 working days of commencement of the Program after being duly approved by the Academic Committee.

No Cost Credit Card EMI FAQ's

0% EMI with Finance partners /Credit card option availability will vary program wise. 1. Which banks allow using 0% Credit card EMI or Credit card EMI? No cost EMI is available on credit cards from all major banks (American Express, Bank of Baroda, HDFC Bank, ICICI Bank, IndusInd Bank, Kotak Mahindra Bank, RBL Bank, Standard Chartered, Axis Bank, Yes Bank, State Bank of India, CITIBANK and HSBC). 2. Is there any minimum transaction limit ? Yes. 50000 is the minimum. 3. Standard Chartered Bank offers 18 or 24 months No Cost EMI ? No. ONLY 12 months is available irrespective of the Program enrolled. 4. Will I have to pay any extra amount for EMI transaction? If you are availing 0% credit card EMI, upGrad will not charge any processing fees or down payment for these transactions. Your bank may levy GST or other taxes on the interest component of the EMI. 5. Are there any fees or down payment? Certain banks charge nominal processing fees between INR 99 - 500 on 0% Credit Card EMI transaction. If charged, will be billed in the first repayment installment. 6. Can I use my International credit card for 0% credit EMI or Credit Card EMI? Only the Indian bank credit cards can be used. But you can pay the amount using the Credit card option in one shot / part payments, and later you can convert into EMI from your respective bank. The tenures and interest charged will depend on your bank. upGrad will not charge any processing fees or down payment for these transactions, this will be purely between you and your bank. 7. Are there any charges in case I opt for cancellation/refund from the course after paying balance with no cost EMI ? Yes, there will be additional charges to the extent of interest paid by the upGrad to the bank, you will be refunded only Principal amount, i.e. the amount actually deducted/blocked from your card. This deduction will be in addition to the amount mentioned in the refund policy shared with your offer letter. 8. Can I Pay Using Multiple Credit Cards ? Multiple cards can be used to complete the payments using Part payment option make sure to inform the learner, minimum transaction is INR 50000 to opt for 0% CC EMI E.g. Amount to be paid: 150000. I can pay using 2 Credit cards. Yes, Example : HDFC Card – Part payment – INR 100000 ICICI Card – Part payment – INR 50000 9. How can I opt for Credit card EMI if my bank is not listed in the 0% Credit card EMI or Credit card EMI? You can pay the amount using the Credit card option in one shot / part payments, and later you can convert into EMI from your respective bank. The tenures and interest charged will depend on your bank. upGrad will not charge any processing fees or down payment for these transactions. 10. Why is the entire amount blocked on my credit card? Initially your bank will block the entire amount from your available purchase limit and from your next billing cycle, you will be charged the EMI amount. As you start paying your EMI, your credit limit will be released accordingly. For example, if you have made a payment of ₹100000 on 6-months EMI and your credit limit is ₹200,000 then initially your bank will block your credit limit by ₹100000. After payment of your first month EMI of Rs.15000, the blocked amount will come down to ₹85000. 11. Why is interest getting charged on No Cost EMI? Your bank will charge you interest. However, this interest charge has been provided to you as an upfront discount at the time of your payment, effectively giving you the benefit of a No cost EMI. The total amount paid during the entire EMI tenure to the bank will be equal to the amount to be paid to upGrad. Eg. Amount payable to upGrad: INR 405000 Let's say Amount deducted at the time of transaction: INR 379850 (Principal amount) Bank charges interest of 12-15% per annum on INR 379850 [Note: Interest factor is reducing rate and not Flat rate] EMI AMOUNT = INR 33750 x 12 = INR 405000 Effectively, you have taken loan on 379,850 instead of 405,000

Selection Criteria

What is the selection process for this programme.

STEP-1:  Fill the application form

STEP-2: Get shortlisted

STEP-3: Pay the block amount of Rs.15K

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All Data Science projects completed for PGPDS by Upgrad

saad1504/Upgrad_DataScience_Projects

Folders and files, repository files navigation, upgrad datascience projects, 1) stock market analysis using sql.

The dataset provided here has been extracted from the NSE website. The Stock price data provided is from 1-Jan-2015 to 31-July-2018 for six stocks Eicher Motors, Hero, Bajaj Auto, TVS Motors, Infosys and TCS.Aim of analysis is to provide insights to buy or sell the stocks

In this project Stock market analysis is done for the 6 stocks provided above using MYSQL. The Steps for analysis are as follows:

• Seperate tables are created from csv files for the respective Companies.
• The tables are then merged to form the master dataset.
• Data Inspection,Cleaning and Data Preparation is done on the dataset.
• Exploratory Data Analysis is done on the dataset and moving averages are calculated for each stock.
• Short term moving average is calculated for 20 days and long term moving average is calculated for 50 days.
• Buy and sell signals are generated based on the moving averages.
• Final Result of the anlysis is produced in the form of PDF.

2) Uber Supply Demand Gap

The data set used for analysis data set is a masked data set which is similar to what data analysts at Uber handle.The aim of analysis is to identify the root cause of the problem (i.e. cancellation and non-availability of cars) and recommend ways to improve the situation.

In this project Supply Demand Gap is identified for Uber using EDA in both Python and Tableau. The Steps for analysis are as follows:

• Load the dataset into a dataframe.
• Perform Data Inspection and Data Cleaning on the dataframe.
• Exploratoratory Data Analysis is done on the dataframe.
• Plots are created to visualize the important attributes and how they contribute to the supply demand gap in Python as well as Tableau.
• Final Results and recommendations are provided in the form of PDF with self explanatory plots.

3) Lead Scoring Case Study using Logistic Regression

We have been provided with a leads dataset from the past with around 9000 data points. This dataset consists of various attributes such as Lead Source, Total Time Spent on Website, Total Visits, Last Activity, etc. which may or may not be useful in ultimately deciding whether a lead will be converted or not.

In this project lead scoring is done for a company. The Steps for analysis are as follows:

• After EDA we have a basic idea of which are the important attributes from the plots created.
• Datasets is split into test and train datasets
• Scaling of features is done.
• Initial model is created and the summary is analyzed to find which are the important attributes.
• Feature Selection is then done on the train dataset using RFE
• Lead score is assigned to each record based on the probability calculated from model for conversion.
• accuracy sensitivity and specificity for various probability cutoffs are plotted to find optimal cutoff point.
• Predictions are done on the test dataset and accuracy is checked.
• Calculate the conversion rate of leads at the optimal cutoff lead score and classify them as hot leads.
• Create Presentation to represent the results of analysis in the form of PDF.

4) Handwriting Digit Recognition using SVM

For this problem, we use the MNIST data which is a large database of handwritten digits. The 'pixel values' of each digit (image) comprise the features, and the actual number between 0-9 is the label.Objective of the analysis is to develop a model using Support Vector Machine which should correctly classify the handwritten digits from 0-9 based on the pixel values given as features.

In this project hand writing digit recognition is done using SVM The Steps for analysis are as follows:

• Linear SVM kernel is used to create a model and accuracy is checked
• RBF SVM kernel is used to create a model and accuracy is checked.
• Hyperparametere tuning is done using GridSearchCV
• Optimal C and Gamma are found and final model is created using RBF kernel.
• Check accuracy of model and come to the conclusion that the problem is non-linear in nature.

5) NYC tickets analysis using Spark

The NYC Police Department has collected data for parking tickets. Of these, the data files for multiple years are publicly available on Kaggle. We will try and perform some exploratory analysis on a part of this data. Spark will allow us to analyse the full files at high speeds as opposed to taking a series of random samples that will approximate the population. For the scope of this analysis, we will analyse the parking tickets over the year 2017.

In this project ticket anlysis is don to find out the most pressing violations in NYC. The Steps for analysis are as follows:

• Find the total number of tickets for the year.
• Find out the number of unique states from where the cars that got parking tickets came.
• Find out How often does each violation code occur? Display the frequency of the top five violation codes.
• How often does each 'vehicle body type' get a parking ticket? How about the 'vehicle make'?
• Find the violation code frequencies for three precincts that have issued the most number of tickets. Do these precinct zones have an exceptionally high frequency of certain violation codes? Are these codes common across precincts?
• Divide 24 hours into six equal discrete bins of time. Choose the intervals as you see fit. For each of these groups, find the three most commonly occurring violations.
• Then, find the three most common violations for each of these seasons.
• The fines collected from all the instances of parking violation constitute a source of revenue for the NYC Police Department.Find the total occurrences of the three most common violation codes.
• After answering the questions insights based on viloation code are provided
• Jupyter Notebook 99.8%

MIT Libraries home DSpace@MIT

• DSpace@MIT Home
• Supply Chain Management
• Supply Chain Management Capstone Projects

Browsing Supply Chain Management Capstone Projects by Title

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The $100 question: Supply chain priorities for small firms 

3D Printing’s Impact on the Metalworking Industry 

Achieving Sustainable Growth at Uber Freight 

Adaptability of Manufacturing Operations through Digital Twins 

Advancing the Circular Economy of Plastics through eCommerce 

Aggregate Production Planning for Engineer-to-Order Products 

Alternate Pricing Model for Transportation Contracts 

Analytics Driving Supply Chain Segmentation for Lenovo 

Analyzing Upstream Impact on Downstream Shelf-Availability 

Apeel Sciences: Lot Traceability of a Breakthrough in Food Science Technology 

Application of Linear Models, Random Forest, and Gradient Boosting Methods to Identify Key Factors and Predict Truck Dwell Time for a Global 3PL Company 

Assessing Feasibility of the Delivery Drone 

Assessing the State of Supply Chain Sustainability 

Automation of Warehouse Decision Making 

Behavioral Management Patterns: Small Firms’ Recipe for Growth 

Better Contract – Better 3PL Performance 

Beyond the Seaport: Assessing the Inland Container Transport Chain Using System Dynamics 

Building Sustainable Supply Chains in the Era of e-Commerce 

Calculating Financial Business Risk to Identify Supply Chain Vulnerabilities 

Capturing Value in Pharmaceutical Distribution Strategies 

At the MIT Center for Transportation & Logistics

SCM Student Voices

Capstone/Thesis – 2020

To graduate successfully with a  master’s degree in supply chain management from MIT , each student needs to work on a  capstone/thesis project . A capstone project includes application of theoretical skills learnt into practical use by collaborating with companies or organizations. A thesis on the other hand, is conceptualizing new scenarios in the field of supply chain management and providing theoretical evidence to back it. A few select capstone/thesis projects are presented below. Check out more such projects in the  CTL publication  website (this year’s projects will be added over the summer).

A Natural Language Processing Approach to Improve Demand Forecasting in Long Supply Chains  – William Teo

Information sharing is one of the established approaches to improve demand forecasting and to reduce the bullwhip effect, but it is infeasible to do so effectively in a long supply chain. A new Natural Language Processing (NLP)-based forecasting model, known as NEMO, was proposed in this thesis to forecast the demand of B2B commodities in long supply chains. NEMO uses modern NLP techniques to extract information from lengthy news articles to forecast the demand of such commodities without requiring downstream companies to share information. NEMO’s performance fared comparatively well to a statistical model and a gradient boosting model. NEMO can be used alongside other forecasting models to provide invaluable information about upcoming demand volatility.

Development and Application of an Immunization Network Design Optimization Model for UNICEF  – Henrique Carretti & Yuto Hashimoto

This capstone project, explored the potential benefits of applying an optimization model in the design of vaccination networks. The developed model focuses on the last-mile vaccine distribution, where one-day outreach clinics are commonly used to provide immunization to remote areas. Using the case of Gambia, the developed modelling approach was validated to increase immunization access and generate meaningful insights.

How to Plan and Schedule for Profit: An Integrated Model and Application for Complex Factory Operations  – Alessandro Silvestro

Optimization of factory operations is a fundamental aspect of any manufacturing company. However, planning and scheduling is a challenging and complex task, often very demanding in resources, investment and training. The research project relied on a large-scale MILP model for accurately evaluating, simulating and/or optimizing the internal manufacturing supply chain, in order to balance competing production/SCM cost goals while maximizing profit in the (short-term) planning horizon.

Modeling the Location-Routing Problem with Ancillary Modes  – Amr Taiyeb & Kelly Doan

Combining vehicles and drones in the last mile transportation of small parcels can achieve significant improvements in cost and speed. This research project focused on the Location-Routing Problem with Ancillary Modes (LRPAM), which involved identifying the most strategic locations for distribution facilities, optimal trucks and drones’ delivery routes.  However, the increased optimization complexity that comes from the integration of drones makes the exact optimization intractable for large realistically-sized operations. To overcome this challenge, a model was developed and solved using the Multiple Ant Colony Optimization algorithm. When applying the model to a real road network, with 200 customers and 5 candidate depot locations, the model confirmed a 24% saving in daily distribution costs from adding 3 drones to every delivery truck.

E-Commerce based closed loop supply chain for plastic recycling  – Saikat Banerjee

Right now most of the plastic waste is dumped in the landfills and the ocean, and there is a dire cost to the environment because of that. This thesis aimed to contribute to science by finding a novel way to manage the take-back of plastic from the consumers to the recycling plants using the existing e-commerce reverse logistics network. This thesis focused on data from CPG companies about the sales of products contributing to the plastic waste, and considered location data of US counties, Amazon warehouses and Material Recovery Facilities (MRFs), to calculate an optimized route for plastic take-back. The research also assessed various costs and different sensitivity analyses based on scenarios planned for the take-back mechanism. As a result of this, a model and a cost equation were formulated to understand the feasibility of the process.

IoT-Based Inventory Tracking in the Pharmaceutical Industry  – Andrew Kerr & Tony Orr

Inventory visibility has been a primary concern for corporate supply chains for decades. Utilizing inventory location and time data is particularly important for pharmaceutical companies and, until recently, archaic tracking processes created inaccuracies and mismanaged inventory for pharmaceutical manufacturers. However, recent Internet of Things (IoT) innovations provide potential solutions for pharmaceutical companies to manage and protect retail inventory levels while mitigating consumer risk and existing corporate financial waste streams. Through technology research, real-world experimentation, and cross-functional supply chain analyses, this capstone project proposed a Bluetooth IoT network infrastructure and business approach to meet traditional pharmaceutical visibility needs.

Blockchain Adoption: Aligning Incentives of SC Actors  – Vijay Krishnan & Zhehao Yu

Blockchain Technology can revolutionize the supply chain industry, but the technology faces several impediments to an industry wide roll out. This capstone project proposed blockchain technology for Walmart’s small parcel supply chain. A system dynamics model was built to map goods, information, financial flows. The model was then validated on the basis of data collected and stakeholder’s feedback to simulate the scenario that maximized the benefit for the supply chain. Incentives that could drive blockchain adoption were identified using the model.

Decarbonizing Road Freight Transportation with Carbon Offsets  – Abdelrahman Hefny & Cat Dame

Carbon offsets present a mechanism to leverage corporate sustainability commitments to accelerate investment in green transport systems through projects like fleet renewal programs. This study evaluated the feasibility of this approach from a financial and logistical perspective, analyzing the potential market size and emissions avoidance, quantifying the costs, and synthesizing best practices in fleet renewal programs. The analytical frameworks developed can be utilized to support the design and implementation of such a program that has the potential to drive significant impact in global carbon emissions reduction.

Unearthing the Hidden Treasure with Inventory Risk Pooling  – Hari Kishan Sharma & Angelica Bojorquez

Rising inventory costs is an ongoing challenge for any firm. While inventory is necessary, it holds up capital, occupies premium storage space, and hazards higher obsolescence cost. An important portion of this inventory is held as safety stock to safeguard against risk of uncertainties. Risk pooling is known to reduce this uncertainty by centralizing the inventory and lowering associated cost without compromising service levels. However, it is not adequately leveraged.

Why can’t firms just reconfigure their network to unearth this value? How does one evaluate whether implementing pooling would save cost for them?   Through this capstone project, the students developed a simple decision support system that can help firms evaluate the potential of introducing risk pooling. The research demonstrates how introducing risk pooling could significantly reduce supply chain costs for a leading retailer in Mexico, without affecting service levels.

Omnichannel Retail For A Seamless Grocery Shopping Experience  – Wassim Aouad & Nikhil Ganapathi

With the rising adoption of e-commerce and online shopping, many retailers are facing the challenge of transitioning across channels to offer a seamless customer experience. One way of addressing this challenge consists of leveraging omnichannel retailing. The sponsor company of this project, a large US grocery retailer, has been operating in a multichannel environment by utilizing distinct networks for its online and offline channels. The objective of this project was to develop an omnichannel distribution model by leveraging the existing network infrastructure of the company. A mixed integer linear program was formulated to determine the omnichannel network model, and multiple scenarios were simulated to highlight the robustness of the model as well as the potential savings that can be realized.

Intermittent Demand Forecasting for Inventory Control: The Impact of Temporal and Cross-sectional Aggregation  – Ngan Ngoc Chau

Managing intermittent demand is a challenging operation in many industries since this type of demand is difficult to forecast. This challenge makes it hard to estimate inventory levels and thus affects service levels. The purpose of this study was to examine the impact of multiple levels of data aggregation on forecasting intermittent demand, and subsequently, on inventory control performance. In particular, this thesis proposed a procedure that integrated lead-time and customer heterogeneity into forecasting using temporal and cross-sectional aggregation. Using data from a real-world setting and simulation, the analysis revealed that when high service levels were important for the company operations, the forecasting approach using temporal aggregation that incorporated lead-time information yielded a higher level of inventory efficiency in terms of both the holding cost and the realized service level. It appeared that when forecasts using temporal aggregation were augmented with information about customer behavior, their purchase patterns might be a helpful consideration for enhancing inventory performance.

Supply Chain & Operations Capstone Projects

• Undergraduate Programs
• Graduate Programs
• Industry Partners
• Executive Committee
• Board of Advisors
• Capstone Projects
• Case Competition

Supply Chain Solutions is the signature capstone course for the MS in Supply Chain Management program at the Carlson School. Students bring together learnings from the program and their previous expertise to undertake a supply chain challenge you’re looking to resolve.

What we can do for you

Provide supply chain solutions.

Over 10 weeks in the summer, our student-consultants will work with you on your supply chain challenge to deliver insightful and practical solutions that provide value and may be deployed immediately to improve business operations.

Project types

All proceedings and recommendations are confidential. Projects cover end-to-end supply chain and topics include, but are not limited to:

• Warehouse/Network optimization
• Strategy development
• Logistic process improvements
• Supplier risk assessment
• Logistics risks mitigation
• Balance scorecard development
• Industry benchmarking
• Return program optimization
• Circular economy and carbon offsets
• Recycling and repurposing
• Inventory optimization
• Distribution and transportation management

Project resources provided

Student-consultants provide over 500+ hours of work. During the execution of the project, student teams are supported by:

• Academic faculty who serve as subject matter experts
• Professional director with significant industry experience
• Other relevant resources of the Carlson School of Management at the University of Minnesota

Supply Chain Solutions Projects to Date

• Diverse business segments
• 35 projects completed to date varying from strategic supply chain visions to tactical problem solving
• Projects incorporate various elements of the MS Supply Chain curriculum (shown below) as needed to deliver client solutions

Some of the realms in which the capstone program can execute projects includes, but is not limited to:

• Circular economy and Carbon offsets
• Distribution and Transportation management

Examples of past projects

Supplier risk assessment.

The client was a mid-sized global supplier of medical device components. Senior supply chain leadership recognized that supplier risk analysis and management across its global supply chain was not standardized creating significant risk of supplier related disruption in customer service.

Recommendation: The SCS team did significant research into best practices in evaluating and managing supplier risks and recommended a standard evaluation model to the client. The model was created to link to existing data sources and provided standard data analytics and data visualization tools to enable procurement management to reduce supply base risks. Also, the team delivered comprehensive documentation and standard work procedures to ensure that the risk management tool will be an enduring process for the company.

Warehouse Network Optimization

The client was a global industrial goods company with one division that needs products to be distributed from a U.S. manufacturing facility to a set of global warehouses. The client asked our Supply Chain Solutions student-team to create a model to identify how to simplify this global warehouse network, while maintaining efficiency and efficacy of the supply chain.

Recommendation: The student-team recommended the closure of 35% of global warehouses for this division. While this resulted in an increase of average lead time from the closed sites by two days due to increased distances, the financial model highlighted that this lead time impact was within the acceptable client service range, and resulted in $1M+ in annual savings. The team also recommended that when piloting warehouse consolidation, that the client also conduct outsourcing analysis for specific regions globally.

Supply Chain engagement in the circular economy

The client was a large consumer foods / agribusiness company who was seeking to evaluate opportunities and strategies in engaging into the circular economic models. The company wanted an independent evaluation of options that would form a part of their strategy to engage in these activities to enhance customer acceptance and growth opportunities.

Deliverables: The SCS team consulted experts and researched numerous methods to identify 12 potential approaches that fit within the client’s businesses. Further evaluation was performed including contacts and dialogues with potential partner organizations to narrow the client’s options to two key strategies for the company. In light of the recommendations, the client created a new senior manager position to take the team’s recommendations forward through implementation.

Commission a Capstone Project

For questions related to the commissioning of capstone projects, please contact: Sunil K Singh Professional Director, MS-SCM program. Email: [email protected] Phone: 612-298-1595

Supply Chain & Operations Department

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Master of Supply Chain Management Capstone Project

Put classroom insights to work

We've infused unforgettable experiential learning throughout the MSCM curriculum, including a signature capstone project in which students address a real challenge and deliver tangible results to their employer or an assigned organization.

• Apply learning to supply chain strategy
• Think analytically and drive decision making
• Work with partners to co-create value
• Build additional technical and soft skills

How the Capstone works

Capstone projects are student-led but faculty-guided experiences that allow students to showcase their learning while providing immediate value to an organization. MSCM students work on a real-world business challenge facing their employer or a challenge facing one of Fisher's partner companies. 

The MSCM's three immersive on-campus experiences include a capstone introduction, in-depth project discussion, and presentations.

Project Examples:

The Fisher difference

Ohio State's MSCM program is taught by premier faculty at Fisher, and we understand the importance of connecting business and supply chain management cross-functionally. It's why companies worldwide hire Fisher graduates to solve their most pressing challenges. No matter the stage of your career, your MSCM capstone experience is personalized to you and designed to build the leadership skills and supply chain expertise necessary to reach your career goals.

Meet Fisher's premier faculty

What are Fisher's research centers or excellence?

Many of the nation's most forward-thinking companies turn to Fisher faculty for new ideas and business solutions. Our research centers support teaching, research and development and provide a professional forum for exchange between faculty, students and the corporate community. MSCM students can utilize these centers to source a capstone project. 

Centers & Initiatives   Fisher Forefront

Whether you are in the beginning stages of your program search or you have already decided that one of Fisher's graduate programs is the right fit for you, we encourage you to connect with us.  

Request More Information

Contact Fisher's Graduate Programs Office directly to schedule on-campus activities such as in-person meetings, class visits and campus tours. We will do our best to accommodate your request in-person or virtually within university guidelines - Safe and Healthy Buckeyes .

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Engage-menu, capstone project – ms in supply chain management.

Supply Chain graduate students build solutions for industry.

Our Master of Science in Supply Chain Management students assess, design and develop practical solutions for industry problems through capstone project during the fall, spring and summer semesters.

• Do you have a strategic and/or operational project or challenge to address?
• Do you want to be exposed to new ideas, trends and tools and learn how they may fit into your organization?
• How about meeting and observing upcoming supply chain talent on the job?

A capstone project is:

• A free service to companies that have no time or resources to work on supply chain problems.
• A semester long collaboration between our graduate students and industry for designing SCM solutions.
• Completed by a team of graduate students and faculty.

A capstone project has:

• An adjustable scope defined company’s team.
• A built-in data confidentiality management plan.
• A flexible duration and calendar.
• A dedicated faculty serving as a coach.

Ready to develop a solution to your supply chain problem?

Start the process by completing the application linked to the “Let’s Build a Solution” button!

How It Works

• Company assigns a Subject-Matter Expert (SME) to facilitate the project.
• Company gains access to a team of four to six students. Only, the team lead will be the point of contact for the company SME.
• The SME meets with the team on a weekly basis (about an hour; on-site face-to-face meetings preferred) to ensure students are on track in developing a solution.
• The team may also schedule additional meetings with the SME to provide status updates, to seek answers to questions regarding the project, for site visits, and more.
• Students are graded based on project deliverables and the SME’s assessment.

Confidential Project Deliverables

• A 30-45-minute presentation on analysis, findings and recommendations.
• A comprehensive final project report.
• Students obtain valuable practical experience and transferable skills.
• Companies gain direct interaction with UT Dallas students and future professionals.
• Everyone gains exposure to new strategies, concepts and solutions.

David R. Parks, PhD

Capstone project instructor, associate professor of practice, sample projects, business operations performance.

• Supply chain value analysis
• Operations process review
• Cost reduction and service improvement strategies

Distribution and Transportation

• Network optimization and transportation planning
• Transportation risk management
• Analysis of supply chain and distribution models
• Freight cost and packaging option analysis
• Order fulfillment optimization
• Process improvements for inventory management
• Sustainability initiatives and analysis
• Scheduling optimization
• Automate office activities through ERP techniques

Manufacturing

• Manufacturing systems performance improvement
• Material management projects

Purchasing, Sourcing and Procurement

• Supplier sourcing
• Capital purchasing process review
• Supplier performance and recommendations
• Spend analysis review
• Services purchasing process review

Quality Assurance

• Quality control performance improvement projects
• Lean and Six Sigma and continual improvement methodologies

Supply and Demand Planning

• Supply forecasting and planning projects
• Capacity planning
• Lead time predictability analysis

General Projects

• Process flowcharts, controls, and recommendations
• Evaluation of internal controls
• Risk assessment analysis

Testimonials

The Capstone experience with UT- Dallas was amazing. We were impressed by the student’s dedication, focus, and energy to understand the scope and deliver the best results. The summary and presentation at the end of the project was simply stunning! The team brought analytics, automations, and shared what they learned through their experience. The Capstone is a win for the organization and for the students. I encourage any organization to utilize this opportunity.

Ready Application Graduate

Ready to start your graduate application?

Before you apply, get familiar with the application process for Jindal School graduate programs at UT Dallas.

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Capstone Project Process

This process for is students applying in Fall for next Spring OR those applying in Spring for next Fall.

• Go through the end-of-the-semester undergraduate advising process (November or April) • Confirm with advising that you are eligible for either capstone (MGSC497) or APICS (MGSC495) for the upcoming semester
• If advising says you are eligible, register for BADM 399-007 • This is a placeholder course only
• Wait for the Capstone/APICS Project Course (MGSC 497) application link  • You will receive this link through the BADM399-007 course blackboard • It may be several weeks after the end of the semester before the link is provided • Apply as soon as you receive the application link • Late applications may not be accepted
• Wait for decision (until the week before classes start)
• Decision will be communicated to you by the OSC Center in the week before classes start • If you are placed in Capstone, you must drop BADM 399-007 and add MGSC 497 • If you are placed in APICS, you must drop BADM 399-007 and add MGSC 495

NOTE:  While you must complete one of MGSC 495 or MGSC 497 to complete the OSC program requirements for graduation, you can do both if you wish.

NOTE:  You are encouraged to apply for Capstone (MGSC497) more than once if you did not get placed on your first attempt.

Challenge the conventional. Create the exceptional. No Limits.

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Unh students analyze bap supply chain data for capstone project.

As part of their capstone project for the University of New Hampshire’s (UNH) Information Systems and Business Analytics (ISBA) program, five students are working to analyze data from the Best Aquaculture Practices (BAP) supply chain transparency program.

BAP collects production volume data from certified facilities and trading volumes from distributors and retailers around the globe for its supply chain transparency program. BAP has begun to analyze this data by looking at the declared supply chain relationships between companies, offering visibility into any retailer’s supply chain and that chain’s ability to deliver adequate volumes of product from BAP-certified facilities.

The goal of UNH’s ISBA Capstone Project for the spring of 2018 is to create a “dilution factor,” or a way to analyze the pressure on a supply chain. In this way the students will answer very important questions for BAP endorsers and suppliers, including, “To what extent is their supply chain shared with other buyers?” and “What percentage of its supply chain’s tonnage could they reasonably expect to receive, given its distribution across multiple destinations?”

In order to answer these questions, students are using Tableau, a business intelligence data analysis tool, which provides compelling visualizations of data which will be incorporated into BAP’s existing supply chain transparency dashboard. The project will be completed in early May.

Meet the Students

Maria spanos, major: business analytics and marketing.

Upon graduation in May, I plan to work somewhere in New England with a position in marketing analytics. I am very interested in traveling and visiting new places, so I hope to get a position that allows me to do that for my job. Outside of school, I enjoy hiking, yoga, going to the gym and cooking. I’m also a member of a sorority on campus and work remotely for a resort in my hometown.

Major: Information Systems

Currently, I am working as a resident assistant and teaching assistant at UNH. After graduation, I plan to be a data analyst and data scientist after five years. If I have time after school, I would love to learn computer language and data analytics or data visualization tools such as python, Java and Google Analytics. During the weekend, I love to hang out with my friends and eat any kind of good food. I also would love to join any school events and explore new things in my community, such as joining the Liberty Mutual 24-Hour Hackathon and New Hampshire Social Venture Innovation Challenge, Amazon Alexa webinar. Things I like about GAA are organizational culture and care for employees. Thanks GAA for giving our team opportunity to explore a real workplace!

Sean McLaughlin

Major: information systems and business analytics.

Analytics and data visualization have always been something that I’ve found interesting. Working through complicated problems that businesses have is something that I find both challenging and rewarding.  After graduation in December, I plan to look for a business analyst position in the Seacoast New Hampshire area. One thing I like about GAA is its mission to promote responsible and sustainable aquaculture. I have always had a great appreciation for nature and wildlife, so working for a company with a similar mission in the future is something that I would love to do. In my free time, I enjoy playing and watching sports or any outdoor activity.

Billington Tong

Major: information systems and finance.

Aside from school, I work as a resident assistant on campus, in the student run postal center (mailroom) on campus, and in a restaurant on the weekends. After graduation in May, I’ll decide whether to move to the South or stay in New England to start my career. My colleagues and I are happy to help GAA with their task, I strongly believe in the importance of sustainability and respect GAA’s mission. My interests include playing sports, learning about new technologies and anything that really peaks my interest. Outside of the classroom, I am either hanging out in the dining halls, hanging out with friends, going to the gym, enjoying a game of tennis or whatever sport I’m playing, or working.

Elliot Judware

Major: business analytics and sustainability.

My plan after graduation is to work on a sustainable agriculture farm to learn more about its practices. My short-term goal is to apply for the Peace Corps in a year or so, and hopefully get accepted. My interests include the outdoors, sports and traveling.

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• aquaculture
• BAP certification
• Best Aquaculture Practices
• responsible aquaculture
• supply chain transparency

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The U.S. Urgently Needs a Bigger Grid. Here’s a Fast Solution.

A rarely used technique to upgrade old power lines could play a big role in fixing one of the largest obstacles facing clean energy, two reports found.

By Brad Plumer

One of the biggest obstacles to expanding clean energy in the United States is a lack of power lines. Building new transmission lines can take a decade or more because of permitting delays and local opposition. But there may be a faster, cheaper solution, according to two reports released Tuesday .

Replacing existing power lines with cables made from state-of-the-art materials could roughly double the capacity of the electric grid in many parts of the country, making room for much more wind and solar power.

This technique, known as “advanced reconductoring,” is widely used in other countries. But many U.S. utilities have been slow to embrace it because of their unfamiliarity with the technology as well as regulatory and bureaucratic hurdles, researchers found.

“We were pretty astonished by how big of an increase in capacity you can get by reconductoring,” said Amol Phadke, a senior scientist at the University of California, Berkeley, who contributed to one of the reports released Tuesday. Working with GridLab, a consulting firm, researchers from Berkeley looked at what would happen if advanced reconductoring were broadly adopted.

“It’s not the only thing we need to do to upgrade the grid, but it can be a major part of the solution,” Dr. Phadke said.

Today, most power lines consist of steel cores surrounded by strands of aluminum, a design that’s been around for a century. In the 2000s, several companies developed cables that used smaller, lighter cores such as carbon fiber and that could hold more aluminum. These advanced cables can carry up to twice as much current as older models.

Replacing old lines can be done relatively quickly. In 2011, AEP, a utility in Texas, urgently needed to deliver more power to the Lower Rio Grande Valley to meet soaring population growth. It would have taken too long to acquire land and permits and to build towers for a new transmission line. Instead, AEP replaced 240 miles of wires on an existing line with advanced conductors, which took less than three years and increased the carrying capacity of the lines by 40 percent.

In many places, upgrading power lines with advanced conductors could nearly double the capacity of existing transmission corridors at less than half the cost of building new lines, researchers found. If utilities began deploying advanced conductors on a nationwide scale — replacing thousands of miles of wires — they could add four times as much transmission capacity by 2035 as they are currently on pace to do.

That would allow the use of much more solar and wind power from thousands of projects that have been proposed but can’t move forward because local grids are too clogged to accommodate them.

Installing advanced conductors is a promising idea, but questions remain, including how much additional wind and solar power can be built near existing lines, said Shinjini Menon, the vice president of asset management and wildfire safety at Southern California Edison, one of the nation’s largest utilities. Power companies would probably still need to build lots of new lines to reach more remote windy and sunny areas, she said.

“We agree that advanced conductors are going to be very, very useful,” said Ms. Menon, whose company has already embarked on multiple reconductoring projects in California. “But how far can we take it? The jury’s still out.”

Experts broadly agree that the sluggish build-out of the electric grid is the Achilles’ heel of the transition to cleaner energy. The Energy Department estimates that the nation’s network of transmission lines may need to expand by two-thirds or more by 2035 to meet President Biden’s goals to power the country with clean energy.

But building transmission lines has become a brutal slog, and it can take a decade or more for developers to site a new line through multiple counties, receive permission from a patchwork of different agencies and address lawsuits about spoiled views or damage to ecosystems. Last year, the United States added just 251 miles of high-voltage transmission lines , a number that has been declining for a decade.

The climate stakes are high. In 2022, Congress approved hundreds of billions of dollars for solar panels, wind turbines, electric vehicles and other nonpolluting technologies to tackle global warming as part of the Inflation Reduction Act. But if the United States can’t add new transmission capacity more quickly, roughly half the emission reductions expected from that law may not materialize , researchers at the Princeton-led REPEAT Project found.

The difficulty of building new lines has led many energy experts and industry officials to explore ways to squeeze more out of the existing grid. That includes “grid-enhancing technologies” such as sensors that allow utilities to send more power through existing lines without overloading them and advanced controls that allow operators to ease congestion on the grid. Studies have found these techniques can increase grid capacity by 10 to 30 percent at a low cost.

Countries like Belgium and the Netherlands have been widely deploying advanced conductors in order to integrate more wind and solar power, said Emilia Chojkiewicz, one of the authors of the Berkeley report.

“We talked with the transmission system planners over there and they all said this is a no-brainer,” Ms. Chojkiewicz said. “It’s often difficult to get new rights of way for lines, and reconductoring is much faster.”

If reconductoring is so effective, why don’t more utilities in the United States do it? That question was the focus of the second report released Tuesday, by GridLab and Energy Innovation, a nonprofit organization.

One problem is the fragmented nature of America’s electricity system, which is actually three grids run by 3,200 different utilities and a complex patchwork of regional planners and regulators. That means new technologies — which require careful study and worker retraining — sometimes spread more slowly than they do in countries with just a handful of grid operators.

“Many utilities are risk averse,” said Dave Bryant, the chief technology officer for CTC Global, a leading manufacturer of advanced conductors that has projects in more than 60 countries.

There are also mismatched incentives, the report found. Because of the way in which utilities are compensated, they often have more financial incentive to build new lines rather than to upgrade existing equipment. Conversely, some regulators are wary of the higher upfront cost of advanced conductors — even if they pay for themselves over the long run. Many utilities also have little motivation to cooperate with one another on long-term transmission planning.

“The biggest barrier is that the industry and regulators are still caught in a short-term, reactive mind-set,” said Casey Baker, a senior program manager at GridLab. “But now we’re in an era where we need the grid to grow very quickly, and our existing processes haven’t caught up with that reality.”

That may be starting to change in some places. In Montana, Northwestern Energy recently replaced part of an aging line with advanced conductors to reduce wildfire risk — the new line sagged less in the heat, making it less likely to make contact with trees. Pleased with the results, Montana legislators passed a bill that would give utilities financial incentives to install advanced conductors. A bill in Virginia would require utilities to consider the technology.

With electricity demand beginning to surge for the first time in two decades because of new data centers, factories and electric vehicles, creating bottlenecks on the grid, many utilities are getting over their wariness about new technologies.

“We’re seeing a lot more interest in grid-enhancing technologies, whether it’s reconductoring or other options,” said Pedro Pizarro, the president and chief executive of Edison International, a California power company, and the chairman of the Edison Electric Institute, a utility trade organization. “There’s a sense of urgency.”

Brad Plumer is a Times reporter who covers technology and policy efforts to address global warming. More about Brad Plumer

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