Simulating theory-of-constraint problem with a novel fuzzy compromise linear programming model

Arijit Bhattacharya, Pandian Vasant, San Susanto

Research output: Chapter in Book/Report/Conference proceedingChapter

13 Citations (Scopus)

Abstract

This chapter demonstrates development of a novel compromise linear programming having fuzzy resources (CLPFR) model as well as its simulation for a theory-of-constraints' (TOC) product mix problem using MATLAB® v. 7.04 R.14 SP.2 software. The product-mix problem considers multiple constraint resources. The developed CLPFR model helps in finding a robust solution with better profit and product mix solution in a non-bottleneck situation. The authors simulate the level of satisfaction of the decision maker (DM) as well as the degree of fuzziness of the solution found using the CLPFR model. Simulations have been carried out with MATLAB® v. 7.04 R.14 SP.2 software. In reality, the capacities available for some resources are not always precise. Some tolerances should be allowed on some constraints. This situation reflects the fuzziness in the availability of resources of the TOC product mix problem.

Original languageEnglish
Title of host publicationSimulation and Modeling
Subtitle of host publicationCurrent Technologies and Applications
PublisherIGI Global
Pages307-336
Number of pages30
ISBN (Print)9781599041988
DOIs
Publication statusPublished - 1 Dec 2007
Externally publishedYes

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