Strategic planning in manufacturing systems — AHP application to an equipment replacement decision

doi:10.1016/0925-5273(94)00092-O

International Journal of Production Economics

Volume 38, Issues 2–3, March 1995, Pages 189-197

https://doi.org/10.1016/0925-5273(94)00092-O Get rights and content

Abstract

The analytical hierarchy process (AHP) has been investigated with respect to its compatibility with strategic planning in manufacturing. Specifically, it was examined in its ability to support decisions in incrementing an organization towards higher levels of automation/technology in their manufacturing processes. The replacement of several milling machines at Deutsche Aerospace Airbus, Germany, required the development of a strategic plan to address both automation in manufacturing systems and machinery replacement. The objective of this research was to develop/explore different planning alternatives ranging from extending the life of existing machinery to total replacement with a new manufacturing system and to evaluate these alternatives through economical and technological criteria. Quantitative (financial and technological) and qualitative (intangible) benefits of investments in new manufacturing systems were considered using the AHP with the aid of AutoMan, a microcomputer program for multiple criteria decision making.

References (19)

J.T. Luxhoj
Replacement analysis for components of large scale production systems
Int. J. Prod. Econom.
(1992)
M. Kakati et al.
Investment justification in flexible manufacturing systems
Eng. Costs Prod. Econom.
(1991)
V. Belton
A comparison of the analytic hierarchy process and a simple multi-attribute value function
Eur. J. Oper. Res.
(1986)
T. Saaty
How to make a decision: The analytic hierarchy process
Eur. J. Oper. Res.
(1990)
N. Suresh et al.
Justifying multimachine systems: An integrated strategic approach
J. Manuf. Systems
(1985)
M. Proctor et al.
Past and present methods of manufacturing investment evaluation: A review of the empirical and theoretical literature
Eng. Economist
(1992)
N. Suresh
An extended multi-objective replacement model for flexible automation investments
Int. J. Prod. Res.
(1991)
R.S. Kaplan
Must CIM be justified by faith alone?
Harv. Bus. Rev.
(1986)
G. Azzone et al.
Measuring the economic effectiveness of flexible automation: A new approach
Int. J. Prod. Res.
(1989)

There are more references available in the full text version of this article.

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Strategic planning in manufacturing systems — AHP application to an equipment replacement decision

Abstract

Int. J. Prod. Econom.

Eng. Costs Prod. Econom.

Eur. J. Oper. Res.

Eur. J. Oper. Res.

Justifying multimachine systems: An integrated strategic approach

J. Manuf. Systems

Past and present methods of manufacturing investment evaluation: A review of the empirical and theoretical literature

Eng. Economist

An extended multi-objective replacement model for flexible automation investments

Int. J. Prod. Res.

Must CIM be justified by faith alone?

Harv. Bus. Rev.

Measuring the economic effectiveness of flexible automation: A new approach

Int. J. Prod. Res.