Multicriteria Optimization of Logistics Processes Using a Grey FUCOM-SWOT Model
Optimization of logistics processes and activities in the function of supply-chain sustainability is a great challenge for logistics companies. It is necessary to rationalize processes in accordance with the strict requirements of the market, while respecting aspects of sustainability, which is not...
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MDPI AG
2022-04-01
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Online Access: | https://www.mdpi.com/2073-8994/14/4/794 |
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author | Vladimir Popović Dragan Pamučar Željko Stević Vesko Lukovac Srđan Jovković |
author_facet | Vladimir Popović Dragan Pamučar Željko Stević Vesko Lukovac Srđan Jovković |
author_sort | Vladimir Popović |
collection | DOAJ |
description | Optimization of logistics processes and activities in the function of supply-chain sustainability is a great challenge for logistics companies. It is necessary to rationalize processes in accordance with the strict requirements of the market, while respecting aspects of sustainability, which is not an easy task. Multicriteria decision making can be a tool that contributes to the optimization of logistics processes in terms of making the right decisions and evaluating different strategies in different logistics subsystems. In this paper, we considered the warehousing system as one of the most important logistics subsystems in a company. Conditions and the possibility of implementing barcode technology in order to optimize warehousing processes were evaluated. We formed a strengths, weaknesses, opportunities, and threats (SWOT) matrix consisting of a total of 27 elements. In order to determine the weights of all factors at the first level of decision making and its indicators at the second level of the decision making hierarchy, an original model was developed. This model involved the creation of a novel grey full-consistency method (FUCOM-G) and integration with a SWOT analysis. Since it was a matter of group decision making, we developed a novel grey Hamy aggregator that, by adequately treating uncertainties and ambiguities, contributed to making more precise decisions. The original grey FUCOM-SWOT model based on the grey Hamy aggregator represents a contribution to the entire field of decision making and optimization of logistics processes. Based on the applied model, the obtained results showed that Weaknesses, as part of the SWOT matrix, are currently the most dominant indicators, and that the implementation of barcode technology in a warehousing system is justified. |
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institution | Directory Open Access Journal |
issn | 2073-8994 |
language | English |
last_indexed | 2024-03-09T12:56:44Z |
publishDate | 2022-04-01 |
publisher | MDPI AG |
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series | Symmetry |
spelling | doaj.art-4074856090a548f082b6342c8112f3662023-11-30T21:59:39ZengMDPI AGSymmetry2073-89942022-04-0114479410.3390/sym14040794Multicriteria Optimization of Logistics Processes Using a Grey FUCOM-SWOT ModelVladimir Popović0Dragan Pamučar1Željko Stević2Vesko Lukovac3Srđan Jovković4College of Applied Technical Sciences Niš, 18000 Niš, SerbiaDepartment of Logistics, University of Defence in Belgrade, Military Academy, 11000 Belgrade, SerbiaFaculty of Transport and Traffic Engineering, University of East Sarajevo, Vojvode Mišića 52, 74000 Doboj, Bosnia and HerzegovinaDepartment of Logistics, University of Defence in Belgrade, Military Academy, 11000 Belgrade, SerbiaCollege of Applied Technical Sciences Niš, 18000 Niš, SerbiaOptimization of logistics processes and activities in the function of supply-chain sustainability is a great challenge for logistics companies. It is necessary to rationalize processes in accordance with the strict requirements of the market, while respecting aspects of sustainability, which is not an easy task. Multicriteria decision making can be a tool that contributes to the optimization of logistics processes in terms of making the right decisions and evaluating different strategies in different logistics subsystems. In this paper, we considered the warehousing system as one of the most important logistics subsystems in a company. Conditions and the possibility of implementing barcode technology in order to optimize warehousing processes were evaluated. We formed a strengths, weaknesses, opportunities, and threats (SWOT) matrix consisting of a total of 27 elements. In order to determine the weights of all factors at the first level of decision making and its indicators at the second level of the decision making hierarchy, an original model was developed. This model involved the creation of a novel grey full-consistency method (FUCOM-G) and integration with a SWOT analysis. Since it was a matter of group decision making, we developed a novel grey Hamy aggregator that, by adequately treating uncertainties and ambiguities, contributed to making more precise decisions. The original grey FUCOM-SWOT model based on the grey Hamy aggregator represents a contribution to the entire field of decision making and optimization of logistics processes. Based on the applied model, the obtained results showed that Weaknesses, as part of the SWOT matrix, are currently the most dominant indicators, and that the implementation of barcode technology in a warehousing system is justified.https://www.mdpi.com/2073-8994/14/4/794logisticsFUCOM-G algorithmSWOTwarehousebarcode technology |
spellingShingle | Vladimir Popović Dragan Pamučar Željko Stević Vesko Lukovac Srđan Jovković Multicriteria Optimization of Logistics Processes Using a Grey FUCOM-SWOT Model Symmetry logistics FUCOM-G algorithm SWOT warehouse barcode technology |
title | Multicriteria Optimization of Logistics Processes Using a Grey FUCOM-SWOT Model |
title_full | Multicriteria Optimization of Logistics Processes Using a Grey FUCOM-SWOT Model |
title_fullStr | Multicriteria Optimization of Logistics Processes Using a Grey FUCOM-SWOT Model |
title_full_unstemmed | Multicriteria Optimization of Logistics Processes Using a Grey FUCOM-SWOT Model |
title_short | Multicriteria Optimization of Logistics Processes Using a Grey FUCOM-SWOT Model |
title_sort | multicriteria optimization of logistics processes using a grey fucom swot model |
topic | logistics FUCOM-G algorithm SWOT warehouse barcode technology |
url | https://www.mdpi.com/2073-8994/14/4/794 |
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