A review of multi-factor capacity expansion models for manufacturing plants: Searching for a holistic decision aid

Nirupam Julka, Tim Baines, Benny Tjahjono, Peter Lendermann, Val Vitanov

Research output: Contribution to journalArticle

56 Citations (Scopus)

Abstract

Investment in capacity expansion remains one of the most critical decisions for a manufacturing organisation with global production facilities. Multiple factors need to be considered making the decision process very complex. The purpose of this paper is to establish the state-of-the-art in multi-factor models for capacity expansion of manufacturing plants within a corporation. The research programme consisting of an extensive literature review and a structured assessment of the strengths and weaknesses of the current research is presented. The study found that there is a wealth of mathematical multi-factor models for evaluating capacity expansion decisions however no single contribution captures all the different facets of the problem.

Original languageEnglish
Pages (from-to)607-621
Number of pages15
JournalInternational Journal of Production Economics
Volume106
Issue number2
DOIs
Publication statusPublished - 1 Apr 2007
Externally publishedYes

Fingerprint

Capacity expansion
Decision aids
Multi-factor
Manufacturing
Industry
Multifactor model
Manufacturing organizations
Literature review
Wealth
Decision process
Factors
Research program

Keywords

  • Capacity expansion
  • Holistic models
  • Manufacturing network
  • Multiple factor

ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Economics and Econometrics
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Cite this

A review of multi-factor capacity expansion models for manufacturing plants : Searching for a holistic decision aid. / Julka, Nirupam; Baines, Tim; Tjahjono, Benny; Lendermann, Peter; Vitanov, Val.

In: International Journal of Production Economics, Vol. 106, No. 2, 01.04.2007, p. 607-621.

Research output: Contribution to journalArticle

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