Providing an Appropriate Model for Improving Multi-Criteria Inventory Classification Using SBM Model (Case Study: Pars Khazar Industrial Company)
Objective: In Workplaces, organizations need to balance warehouse inventory and maintenance costs. Therefore, inventory control is one of the major concerns of organizations. In many organizations, they use the ABC classification method for controlling a large volume of inventory. in the traditional...
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University of Tehran
2020
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oai:doaj.org-article:57303d84a0ce4b1199e5acf2810ccb7f2021-11-14T05:49:09ZProviding an Appropriate Model for Improving Multi-Criteria Inventory Classification Using SBM Model (Case Study: Pars Khazar Industrial Company)2008-58852423-536910.22059/imj.2021.288943.1007652https://doaj.org/article/57303d84a0ce4b1199e5acf2810ccb7f2020-10-01T00:00:00Zhttps://imj.ut.ac.ir/article_81688_d72b65925d8a7c0bc0894f3829882229.pdfhttps://doaj.org/toc/2008-5885https://doaj.org/toc/2423-5369Objective: In Workplaces, organizations need to balance warehouse inventory and maintenance costs. Therefore, inventory control is one of the major concerns of organizations. In many organizations, they use the ABC classification method for controlling a large volume of inventory. in the traditional ABC classification, items are categorized only by a single criterion; but considering other criteria is also essential, so in such cases, the multi-criteria inventory classification is used. The purpose of this study is to present a new model in multi-criteria inventory classification. Methods: In this study, the data envelopment analysis method has been used to present an appropriate model for inventory classification. In the literature of Radial and non-radial models of data envelopment analysis have been used in inventory classification and the comparison of the results of the models indicates that non-radial models provide a more rational classification. Hence, other types of non-radial models have been proposed in this paper to improve inventory classification. Results: the proposed method does not have the weakness of the radial models and improves the multi-criteria inventory classification using non-radial models. Conclusion: 47 items of inventory related to a common numerical example in the literature as well as 80 items of inventory items of Pars Khazar industrial company have been used in order To implement the new models and compare them with existing models. The results of comparing the proposed model with the existing ones in the literature show the superiority of the proposed model.Mohamad Rahim RamzaniyanKeykhosro YakidehNarjes Mohammadi BazghalehUniversity of Tehranarticler modelram modelsbm model without inputdata envelopment analysismulti-criteria inventory classificationManagement. Industrial managementHD28-70FAمدیریت صنعتی, Vol 12, Iss 3, Pp 485-501 (2020) |
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r model ram model sbm model without input data envelopment analysis multi-criteria inventory classification Management. Industrial management HD28-70 |
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r model ram model sbm model without input data envelopment analysis multi-criteria inventory classification Management. Industrial management HD28-70 Mohamad Rahim Ramzaniyan Keykhosro Yakideh Narjes Mohammadi Bazghaleh Providing an Appropriate Model for Improving Multi-Criteria Inventory Classification Using SBM Model (Case Study: Pars Khazar Industrial Company) |
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Objective: In Workplaces, organizations need to balance warehouse inventory and maintenance costs. Therefore, inventory control is one of the major concerns of organizations. In many organizations, they use the ABC classification method for controlling a large volume of inventory. in the traditional ABC classification, items are categorized only by a single criterion; but considering other criteria is also essential, so in such cases, the multi-criteria inventory classification is used. The purpose of this study is to present a new model in multi-criteria inventory classification. Methods: In this study, the data envelopment analysis method has been used to present an appropriate model for inventory classification. In the literature of Radial and non-radial models of data envelopment analysis have been used in inventory classification and the comparison of the results of the models indicates that non-radial models provide a more rational classification. Hence, other types of non-radial models have been proposed in this paper to improve inventory classification. Results: the proposed method does not have the weakness of the radial models and improves the multi-criteria inventory classification using non-radial models. Conclusion: 47 items of inventory related to a common numerical example in the literature as well as 80 items of inventory items of Pars Khazar industrial company have been used in order To implement the new models and compare them with existing models. The results of comparing the proposed model with the existing ones in the literature show the superiority of the proposed model. |
format |
article |
author |
Mohamad Rahim Ramzaniyan Keykhosro Yakideh Narjes Mohammadi Bazghaleh |
author_facet |
Mohamad Rahim Ramzaniyan Keykhosro Yakideh Narjes Mohammadi Bazghaleh |
author_sort |
Mohamad Rahim Ramzaniyan |
title |
Providing an Appropriate Model for Improving Multi-Criteria Inventory Classification Using SBM Model (Case Study: Pars Khazar Industrial Company) |
title_short |
Providing an Appropriate Model for Improving Multi-Criteria Inventory Classification Using SBM Model (Case Study: Pars Khazar Industrial Company) |
title_full |
Providing an Appropriate Model for Improving Multi-Criteria Inventory Classification Using SBM Model (Case Study: Pars Khazar Industrial Company) |
title_fullStr |
Providing an Appropriate Model for Improving Multi-Criteria Inventory Classification Using SBM Model (Case Study: Pars Khazar Industrial Company) |
title_full_unstemmed |
Providing an Appropriate Model for Improving Multi-Criteria Inventory Classification Using SBM Model (Case Study: Pars Khazar Industrial Company) |
title_sort |
providing an appropriate model for improving multi-criteria inventory classification using sbm model (case study: pars khazar industrial company) |
publisher |
University of Tehran |
publishDate |
2020 |
url |
https://doaj.org/article/57303d84a0ce4b1199e5acf2810ccb7f |
work_keys_str_mv |
AT mohamadrahimramzaniyan providinganappropriatemodelforimprovingmulticriteriainventoryclassificationusingsbmmodelcasestudyparskhazarindustrialcompany AT keykhosroyakideh providinganappropriatemodelforimprovingmulticriteriainventoryclassificationusingsbmmodelcasestudyparskhazarindustrialcompany AT narjesmohammadibazghaleh providinganappropriatemodelforimprovingmulticriteriainventoryclassificationusingsbmmodelcasestudyparskhazarindustrialcompany |
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