Developing a Multi-Product Economic Production Quantity Model To Fuzzy Sense Using of Signed Distance Method
Today, inventory management issue has become a concern for a lot of organizations and it is the most necessary issues for organizations by production and inventory plan implementing. Among inventory models, models based on economic production quantity are of the most practical models. Each of the ec...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Petra Christian University
2013-01-01
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| Series: | Jurnal Teknik Industri |
| Subjects: | |
| Online Access: | http://puslit2.petra.ac.id/ejournal/index.php/ind/article/view/18706 |
| _version_ | 1811333035491065856 |
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| author | Mohammad Khodashenas Hamidreza Salmani Mojaveri Fatemeh Mohammadnezhad Chari |
| author_facet | Mohammad Khodashenas Hamidreza Salmani Mojaveri Fatemeh Mohammadnezhad Chari |
| author_sort | Mohammad Khodashenas |
| collection | DOAJ |
| description | Today, inventory management issue has become a concern for a lot of organizations and it is the most necessary issues for organizations by production and inventory plan implementing. Among inventory models, models based on economic production quantity are of the most practical models. Each of the economic production quantity is based on set of parameters that are estimated by experts and decision makers. Since uncertainty exists in real world, it is difficult for experts to estimate parameters, accurately. Therefore, in such situation, using economic production quantity under non-integer conditions would be more appropriate than the crisp conditions and also under such conditions organizations have to determine their cumulative production in their supply chain in fuzzy sense. In this paper, a multi-product economic production quantity (EPQ) model, under fuzzy conditions, has been fuzzified and optimized by using signed distance method in order to minimize all costs. a numerical example and sensitivity analysis have also provided to illustrate the practical use of the proposed method. |
| first_indexed | 2024-04-13T16:45:59Z |
| format | Article |
| id | doaj.art-db2d548d16b44d089268b4f0b4be906e |
| institution | Directory Open Access Journal |
| issn | 1411-2485 |
| language | English |
| last_indexed | 2024-04-13T16:45:59Z |
| publishDate | 2013-01-01 |
| publisher | Petra Christian University |
| record_format | Article |
| series | Jurnal Teknik Industri |
| spelling | doaj.art-db2d548d16b44d089268b4f0b4be906e2022-12-22T02:39:04ZengPetra Christian UniversityJurnal Teknik Industri1411-24852013-01-011513944Developing a Multi-Product Economic Production Quantity Model To Fuzzy Sense Using of Signed Distance MethodMohammad KhodashenasHamidreza Salmani MojaveriFatemeh Mohammadnezhad ChariToday, inventory management issue has become a concern for a lot of organizations and it is the most necessary issues for organizations by production and inventory plan implementing. Among inventory models, models based on economic production quantity are of the most practical models. Each of the economic production quantity is based on set of parameters that are estimated by experts and decision makers. Since uncertainty exists in real world, it is difficult for experts to estimate parameters, accurately. Therefore, in such situation, using economic production quantity under non-integer conditions would be more appropriate than the crisp conditions and also under such conditions organizations have to determine their cumulative production in their supply chain in fuzzy sense. In this paper, a multi-product economic production quantity (EPQ) model, under fuzzy conditions, has been fuzzified and optimized by using signed distance method in order to minimize all costs. a numerical example and sensitivity analysis have also provided to illustrate the practical use of the proposed method.http://puslit2.petra.ac.id/ejournal/index.php/ind/article/view/18706Defuzzificationsigned distancefuzzy setmulti-product economic production quan¬ti¬tyinventory |
| spellingShingle | Mohammad Khodashenas Hamidreza Salmani Mojaveri Fatemeh Mohammadnezhad Chari Developing a Multi-Product Economic Production Quantity Model To Fuzzy Sense Using of Signed Distance Method Jurnal Teknik Industri Defuzzification signed distance fuzzy set multi-product economic production quan¬ti¬ty inventory |
| title | Developing a Multi-Product Economic Production Quantity Model To Fuzzy Sense Using of Signed Distance Method |
| title_full | Developing a Multi-Product Economic Production Quantity Model To Fuzzy Sense Using of Signed Distance Method |
| title_fullStr | Developing a Multi-Product Economic Production Quantity Model To Fuzzy Sense Using of Signed Distance Method |
| title_full_unstemmed | Developing a Multi-Product Economic Production Quantity Model To Fuzzy Sense Using of Signed Distance Method |
| title_short | Developing a Multi-Product Economic Production Quantity Model To Fuzzy Sense Using of Signed Distance Method |
| title_sort | developing a multi product economic production quantity model to fuzzy sense using of signed distance method |
| topic | Defuzzification signed distance fuzzy set multi-product economic production quan¬ti¬ty inventory |
| url | http://puslit2.petra.ac.id/ejournal/index.php/ind/article/view/18706 |
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