Demand management : a cross-industry analysis of supply-demand planning
Name
72714068-MIT.pdf
Description
Full printable version
Size
11.91 MB
Format
Adobe PDF
Checksum (MD5)
5749a8cfb5dba236667c157a447a3129
Author(s)
Tan, Peng Kuan
Advisor(s)
Larry Lapide.
Date Issued
2006
Publisher
Massachusetts Institute of Technology
Abstract
Globalization increases product variety and shortens product life cycles. These lead to an increase in demand uncertainty and variability. Outsourcing to low-cost countries increases supply lead-time and supply uncertainty and variability. Coupled with the increase of mergers and acquisitions, which increase supply chain complexity, and the unforgiving nature of having too little or too much inventory, these factors have accelerated the importance and adoption of the Sales and Operations Planning (S&OP) process. S&OP is driven by a cross functional team, with the purpose of balancing supply and demand with the objective of maximizing a company's goals. It manages the supply and demand uncertainties, balances the different internal and external stakeholders' interests, and aligns the operations towards its strategy and vision. In support of the Supply Chain 2020 Project at MIT, this thesis focuses on analyzing the S&OP function across industries. Using the Phase I SC 2020 theses, literature, white papers, and interviews with industry experts, this thesis compares and contrasts the S&OP practices across nine industries.
(cont.) It examines their best practices and underlying principles, as well as the macro factors that have shaped the practices for the last ten to fifteen years, as well as what is expected in the future. Companies with the "best" S&OP processes collaborate internally to balance sales and operations, and align all internal stakeholders' interests. Furthermore, they collaborate externally with suppliers and customers to reduce supply and demand uncertainties. They also understand and manage demand and supply uncertainties, and align their effort towards their goals. These companies synchronize operations and are agile to changing environments.
Description
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2006.
Includes bibliographical references (leaves 73-75).
Subjects
Engineering Systems Division.
MIT Department
Massachusetts Institute of Technology. Engineering Systems Division
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