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A modified fuzzy multi-objective linear programming to solve aggregate production planning


Kalaf, Bayda and Abu Bakar, Mohd Rizam and Lee, Lai Soon and Monsi, Mansor and Khudhur Bakheet, Abdul Jabbar and Abbas, Iraq Tereq (2015) A modified fuzzy multi-objective linear programming to solve aggregate production planning. International Journal of Pure and Applied Mathematics, 104 (3). pp. 339-352. ISSN 1311-8080; ESSN: 1314-3395


This paper develops a fuzzy multi-objective model for solving aggregate production planning problems that contain multiple products and multiple periods in uncertain environments. We seek to minimize total production cost and total labor cost. We adopted a new method that utilizes a Zimmermans approach to determine the tolerance and aspiration levels. The actual performance of an industrial company was used to prove the feasibility of the proposed model. The proposed model shows that the method is useful, generalizable, and can be applied to APP problems with other parameters.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Science
DOI Number: https://doi.org/10.12732/ijpam.v104i3.5
Publisher: Academic Publications
Keywords: Aggregate production planning (APP); Fuzzy multi-objective linear programming; Mathematical model; Aspiration level; Tolerance level
Depositing User: Mohd Hafiz Che Mahasan
Date Deposited: 29 Jun 2016 00:51
Last Modified: 29 Jun 2016 00:51
Altmetrics: httphttp://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.12732/ijpam.v104i3.5
URI: http://psasir.upm.edu.my/id/eprint/43516
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