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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Main Authors: Vladimir Popović, Dragan Pamučar, Željko Stević, Vesko Lukovac, Srđan Jovković
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Symmetry
Subjects:
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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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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