About Course

Overview Learning Objectives Who Should Attend Program Materials Topics Covered Course
Schedule Instructors Apply

Supply Chain Network Design [PI.19s]

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Date: July 14-15, 2008 | Tuition: $1,250 | Continuing Education Units (CEUs): 1.0

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* Course schedule and registration times

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Overview

In today’s dynamic business environment, many companies are expanding, merging, contracting, or otherwise redesigning their supply chain networks. This course addresses applications of optimization models to supply chain network design. Modeling concepts are reviewed as well as practical methods for data gathering and validation, model implementation, and scenario construction. New applications will be presented including analysis of network designs to control CO₂ emissions, to manage production and inventories of products with short shelf lives, and to select vendor contracts. Several case studies will be presented along with discussions of network design problems faced by course attendees.

Learning Objectives

• Comprehend the purposes of holistic supply chain network optimization models and their applications in network design.
• Understand the goals of and methods for coordinated and collaborative supply chain management.
• Examine guidelines for creating and using models including: model selection; data collection, preparation, and validation; scenario planning; and organizational process change.
• Gain knowledge of software systems for supply chain network design.
• Acquire insights from case studies where supply chain models were successfully applied to network design problems.

Who Should Attend

This program is intended for:

• Managers and analysts responsible for network design decision-making
• Managers and analysts responsible for acquiring or developing, and applying data-driven modeling systems to support network design decision-making
• Consultants who direct or participate in network design studies
• Academics who teach supply chain subjects to students in management and engineering

Participants will not need advanced analytical skills to fully absorb material presented in the program.

Program Materials

At the start of the program, participants will be given a copy of the recently published second edition of Professor Shapiro’s book, Modeling the Supply Chain, plus other recently published and unpublished papers.

Topics Covered

• Overview of supply chain network optimization models
• Developments in information technology supporting supply chain analytics
• Incorporation of global supply chain issues in network design models
• Network design for new products
• Scenario planning methodology
• Analysis of supply chain risks
• Integration of inventory deployment with facility location decisions
• Prototyping with spreadsheet optimization software
• Designing Green Supply Chains
• Case study: Distribution network expansion in a retailing company
• Case study: Post-merger consolidation in a food products company
• Case Study: Worldwide sourcing in an industrial chemicals company

PARTICIPANT CASE STUDIES

Participants will be invited via email to submit descriptions of network design problems in their companies. Two or three of these problems will be selected for discussion and analysis during course sessions.

Course schedule AND registration times

Class runs 9:00 am - 5:00 pm on Monday and 8:30 am - 4:00 pm on Tuesday.

Registration is on Monday morning from 8:00 - 8:30 am.

The two-day program will consist of four sessions per day. The first session will be devoted to an overview of the course material. Follow-on sessions will cover supply chain concepts, modeling fundamentals, case studies, and software demonstrations.

Instructors

This two-day course will be presented by Jeremy F. Shapiro, Professor of Operations Research and Management, Emeritus, at the Sloan School, MIT. He will be joined by Nathan Srikant, Senior Director, Field Operations at Optiant and Stephen Wagner, Senior Manager at CHAINalytics.