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Overview Learning Objectives Who Should Attend Program Materials Topics Covered Course
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Demand-Driven Supply Chain Management [PI.20s]

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Date: July 15-16, 2009 | Tuition: $1,500 | Continuing Education Units (CEUs): 1.2

Program Co-Sponsor CSCMP members are eligible for a discount.

Updates
* Course schedule and registration times

Save $500 by taking both this course and Supply Chain Network Design [PI.19s]. Combined tuition is $2,500. Apply for this package now »

Overview

Sales & Operations Planning has recently emerged as an important analytic planning method for coordinating supply chain management with demand management. Effective S&OP can lead to significant reductions in cost. It can be achieved by implementing inventory pull strategies for flexibly meeting product demand. It can also be achieved by implementing postponement strategies that delay product customization to reduce the impact of volatile demand. An important extension of S&OP is net revenue maximization that can be achieved by applying analytics to coordinate marketing and sales decisions with supply chain decisions.

In this course, supply chain network optimization models that support S&OP will be examined as well as the integration of such models with marketing science models for managing sales and product mix. Differences in modeling approaches across industries such as consumer products, consumer durables, retailing, and industrial commodities will also be discussed. Several cases will be presented that describe successful applications in distribution, retailing, and manufacturing companies.

Learning Objectives

• Understand how network optimization models can be used to support S&OP (sales and operation planning).
• Comprehend the complementary roles of supply chain and marketing science models in supporting decisions for net revenue maximization in the firm.
• 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 optimization, forecasting, and marketing.
• Acquire insights from case studies where models were successfully applied to coordinate supply chain and demand management decisions.

Who Should Attend

This program is intended for managers and analysts who are using or seek to use data-driven models to improve supply chain management in their companies and integrate it with demand management. It is also intended for consultants who participate in supply chain and demand management studies, and 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 second edition of Professor Shapiro's book, Modeling the Supply Chain, published in 2007, plus other recently published and unpublished papers. Participants will also be given a copy of Flowcasting the Retail Supply Chain, published in 2006, by Andre Marin, Mike Doherty, and Jeff Harrop.

Topics Covered

• Overview of supply-chain network optimization models
• Explanation of the complementarity between business intelligence systems and modeling systems
• Examination of demand forecasting and optimization models to support S&OP
• Optimal positioning of the inventory push-pull boundary
• Analysis of postponement strategies using optimization models
• Net profit maximization using revenue models that are price and location sensitive
• Flowcasting the retail supply chain
• Overview of market response models
• Integration of supply chain and marketing strategies in consumer products companies
• Case study: Dynamic sourcing in a container rental company
• Case study: Postponement planning of mainframe computers
• Case study: Improving inventory and supply chain management in a retailing company
• Beyond supply chain optimization to enterprise optimization
• Business process changes to exploit analytics

PARTICIPANT CASE STUDIES

Participants will be invited via email to submit descriptions of demand driven supply chain planning 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 Wednesday and 8:30 am - 4:30 pm
on Thursday.

Registration is on Wednesday morning from 8:30 - 8:45 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 and marketing model 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 assisted by Art Brown, a supply chain expert with 25 years experience applying analytics to supply chain problems; Mike Doherty and Jeff Harrop, Founders of Demand Clarity; Andre Martin, CEO of Factory2Shelf; and Rama Ramakhrisnan, former Chief Scientist and Vice-President of R&D, Oracle Retail.

* A limited number of partial-tuition scholarships are available. You may submit a scholarship request by filling out the Scholarship Request Form no more than two weeks after your application to the course has been submitted. Please note that these scholarships are only for partial tuition and do not cover travel, lodging, or other expenses associated with the course. Incomplete requests and requests that are not preceded by a course application will not be reviewed.

If you have any questions please contact the Short Programs office.

Members of the Council of Supply Chain Management Professionals (CSCMP) are eligible for an additional 5% discount off this course. Email the Short Programs office in order to receive this discount.

If you have any questions please contact the Short Programs office.