Massachusetts Institute of Technology
Sales & operations planning in a global business
Abstract
dc:description.abstractAs companies become more global and begin to outsource manufacturing and other services, the uncertainty in the supply resource increases. Demand uncertainties increase as these same companies expand into new countries to serve new customers. The globalization of business has created problems that many companies do not know how to overcome. One way of overcoming these challenges is to implement a process called global sales and operations planning (S&OP). Sales and operations planning is a collaborative process that aligns the supply side of an organization with the demand side. Aligning the goals of the different departments eliminates the "silo" mentality and creates a streamlined organization. This streamlined organization works as one team with the goal of meeting the financial expectations set by the executive team. Global sales and operations planning is a process used to match supply and demand throughout the world. To do this effectively, the process must be divided into multiple processes based on the characteristics of the supply chain for the product, the business units within the company, and geography that the business unit is located in.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Engineering Systems Division.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2007
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Honstain, Christopher Michael
- Advisor dc:contributor.advisor
-
- Lawrence Lapide.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/40106
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/40106