A modified fuzzy multi-objective linear programming to solve aggregate production planning
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 appro...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Academic Publications
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/43516/1/abstract00.pdf |
| _version_ | 1796974358980198400 |
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| author | Kalaf, Bayda Abu Bakar, Mohd Rizam Lee, Lai Soon Monsi, Mansor Khudhur Bakheet, Abdul Jabbar Abbas, Iraq Tereq |
| author_facet | Kalaf, Bayda Abu Bakar, Mohd Rizam Lee, Lai Soon Monsi, Mansor Khudhur Bakheet, Abdul Jabbar Abbas, Iraq Tereq |
| author_sort | Kalaf, Bayda |
| collection | UPM |
| description | 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. |
| first_indexed | 2024-03-06T08:55:54Z |
| format | Article |
| id | upm.eprints-43516 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:55:54Z |
| publishDate | 2015 |
| publisher | Academic Publications |
| record_format | dspace |
| spelling | upm.eprints-435162016-06-29T00:51:49Z http://psasir.upm.edu.my/id/eprint/43516/ A modified fuzzy multi-objective linear programming to solve aggregate production planning Kalaf, Bayda Abu Bakar, Mohd Rizam Lee, Lai Soon Monsi, Mansor Khudhur Bakheet, Abdul Jabbar Abbas, Iraq Tereq 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. Academic Publications 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43516/1/abstract00.pdf 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 http://www.ijpam.eu 10.12732/ijpam.v104i3.5 |
| spellingShingle | Kalaf, Bayda Abu Bakar, Mohd Rizam Lee, Lai Soon Monsi, Mansor Khudhur Bakheet, Abdul Jabbar Abbas, Iraq Tereq A modified fuzzy multi-objective linear programming to solve aggregate production planning |
| title | A modified fuzzy multi-objective linear programming to solve aggregate production planning |
| title_full | A modified fuzzy multi-objective linear programming to solve aggregate production planning |
| title_fullStr | A modified fuzzy multi-objective linear programming to solve aggregate production planning |
| title_full_unstemmed | A modified fuzzy multi-objective linear programming to solve aggregate production planning |
| title_short | A modified fuzzy multi-objective linear programming to solve aggregate production planning |
| title_sort | modified fuzzy multi objective linear programming to solve aggregate production planning |
| url | http://psasir.upm.edu.my/id/eprint/43516/1/abstract00.pdf |
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