Fuzzy Multi-object Linear Programming Application in Product-Mix Decision-Making

Susanto, Sani, Rosmiyanti, Neneng Tintin, Vasant, Pandian and Bhattacharya, Arijit ORCID: https://orcid.org/0000-0001-5698-297X (2007) Fuzzy Multi-object Linear Programming Application in Product-Mix Decision-Making. In: Proceedings - 1st Asia International Conference on Modelling and Simulation. Proceedings - 1st Asia International Conference on Modelling and Simulation: Asia Modelling Symposium 2007, AMS 2007 . The Institute of Electrical and Electronics Engineers (IEEE), THA, pp. 552-555. ISBN 0769528457

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Abstract

This paper focuses on optimizing product-mix problem using real-world data of a food processing industry. The extensively used LP model has been remodeled using fuzzy sets and applied to the real-world problem. The developed LP model is able to consider the fuzziness in the parameters and to tackle the presence of multiple objective functions. The degree of satisfaction of the product-mix decision-maker in terms of (i) the total profit obtained and (ii) the waste resulted, is at least 70%, which is encouraging.

Item Type: Book Section
Uncontrolled Keywords: modelling and simulation ,/dk/atira/pure/subjectarea/asjc/2600/2611
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Depositing User: LivePure Connector
Date Deposited: 05 May 2020 00:12
Last Modified: 06 Jan 2023 11:30
URI: https://ueaeprints.uea.ac.uk/id/eprint/75009
DOI: 10.1109/AMS.2007.48

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