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Fast high precision decision rules for valuing manufacturing flexibility


Feurstein, Markus; Natter, Martin (2000). Fast high precision decision rules for valuing manufacturing flexibility. European Journal of Operational Research, 120(1):108-117.

Abstract

The valuation of Flexible Manufacturing Systems is one of the most frequently undertaken productivity improvement activities. In practice, the introduction of an FMS into industry must be done on the basis of cost justification. Recently developed techniques for the evaluation of the value of flexibility typically include the computation of stochastic dynamic programs. However, the computational effort of stochastic dynamic programs grows combinatorially and limits application to real world problems. In this contribution, we derive fast approximations to the stochastic dynamic program and compare their results to the exact solution. The proposed methods show an excellent worst case behavior (1%) for a wide range of volatility of the underlying stochastic profit margins and costs for switching the production mode. The computational effort is reduced by a factor of more than 200.

Abstract

The valuation of Flexible Manufacturing Systems is one of the most frequently undertaken productivity improvement activities. In practice, the introduction of an FMS into industry must be done on the basis of cost justification. Recently developed techniques for the evaluation of the value of flexibility typically include the computation of stochastic dynamic programs. However, the computational effort of stochastic dynamic programs grows combinatorially and limits application to real world problems. In this contribution, we derive fast approximations to the stochastic dynamic program and compare their results to the exact solution. The proposed methods show an excellent worst case behavior (1%) for a wide range of volatility of the underlying stochastic profit margins and costs for switching the production mode. The computational effort is reduced by a factor of more than 200.

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5 citations in Web of Science®
7 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Business Administration
Dewey Decimal Classification:330 Economics
Scopus Subject Areas:Physical Sciences > General Computer Science
Physical Sciences > Modeling and Simulation
Social Sciences & Humanities > Management Science and Operations Research
Social Sciences & Humanities > Information Systems and Management
Language:English
Date:2000
Deposited On:09 Dec 2016 10:39
Last Modified:30 Jul 2020 23:09
Publisher:Elsevier
ISSN:0377-2217
OA Status:Closed
Publisher DOI:https://doi.org/10.1016/S0377-2217(98)00374-9
Other Identification Number:merlin-id:14214

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