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Massachusetts Institute of Technology

Robust network design

Abstract

dc:description.abstract

As an equipment manufacturer for the mining and construction industries, Caterpillar's business is heavily impacted by the cyclicality of these two industries. To be competitive in the market while investing prudently to ensure shareholders' value, Caterpillar needs to make capacity decisions with peaks and troughs of the cycles in mind. Through the peaks and troughs of business cycles, the perceptions change from not enough capacity to under-utilization of asset constrained capacity respectively. The purpose of this thesis is to establish a framework that enhances robustness in investment decision-making within the 2-6 year capacity planning horizon. This entails the ability to balance risk and return for the company and account for the cyclical nature of business and other strategic considerations. The project also aims to enhance consistency across stakeholders and introduce an aggregate risk perspective under corporate capital constraint.

Degree

thesis:*
Department dc:contributor.department
Leaders for Global Operations Program at MIT
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chua, Shui Ying
Advisor dc:contributor.advisor
  • Saurabh Amin and Chris Caplice.

Subjects

dc:subject × 3

Rights

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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/99030
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/99030

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Chua, Shui Ying. Robust network design. Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99030