Creating a corporate strategy for utilizing supply chain simulation, optimization and visualization

Computer based supply chain simulation, optimization, and visualization capability have changed significantly in the past 45 years, expanding capability in lockstep with increases in computational power. The increase in accessibility of relatively cheap and powerful hardware has led to the development of a multitude of supply chain simulation, optimization, and visualization programs catered towards reducing corporate supply chain costs. Some of these programs are commercial business to business offerings, while a significant set are developed internally within the corporation. Expertise in this field is increasingly seen as an area of competitive advantage for modern goods based corporations. However, the danger lies in executing decisions based upon inaccurate simulation results, often meaning millions of dollars lost in waste rather than the desired savings. This thesis aims to identify the needs of a corporation regarding supply chain simulation, optimization, and visualization - particularly how a company may categorize offerings within this field - how these programs may fit within the organizational context of a company, and how to ensure correct utilization of a set of supply chain programs. Supply chain is very well understood, but little focus has been placed on correctly utilizing these programs to support success for a company's goal of becoming operationally efficient. A current state analysis of a major U.S. manufacturing company, Caterpillar, Inc., was conducted and a new framework was applied to understand Caterpillar's usage of supply chain programs. This thesis utilizes findings from Caterpillar as a sample case to reinforce research. An overall strategy is developed based on research at Caterpillar, and supports the creation of a group of internal experts disassociated from specific supply chain specialties, such as procurement or logistics, in order to ensure global efficiency. A generic strategy is presented for any corporation utilizing computer based supply chain simulation, optimization, and visualization.

Department dc:contributor.department

Leaders for Global Operations Program at MIT

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2014

Author dc:creator

• Chou, David (David Hancheng)

Advisor dc:contributor.advisor

• Edgar Blanco and Roy Welsch.

• Sloan School of Management.
• Mechanical Engineering.
• Leaders for Global Operations Program.

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

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/90764

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/90764