eprintid: 135
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/01/35
datestamp: 2023-11-09 15:15:46
lastmod: 2023-11-09 15:15:46
status_changed: 2023-11-09 15:13:23
type: book
metadata_visibility: show
creators_name: Bhattacharya, A.
creators_name: Vasant, P.
creators_name: Susanto, S.
title: Simulating theory-of-constraint problem with a novel fuzzy compromise linear programming model
ispublished: pub
note: cited By 15
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. © 2008, IGI Global.
date: 2007
publisher: IGI Global
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-80051558633&doi=10.4018%2f978-1-59904-198-8.ch011&partnerID=40&md5=7521d0d3a1b21113ed479923f1ce7fd1
id_number: 10.4018/978-1-59904-198-8.ch011
full_text_status: none
publication: Simulation and Modeling: Current Technologies and Applications
pagerange: 307-336
refereed: TRUE
isbn: 9781599041988
citation:   Bhattacharya, A. and Vasant, P. and Susanto, S.  (2007) Simulating theory-of-constraint problem with a novel fuzzy compromise linear programming model.     IGI Global, pp. 307-336.  ISBN 9781599041988