Logistic models to minimize the material handling cost within a cross-dock
Retail supply chains are intended to empower effectiveness, speed, and cost-savings, guaranteeing that items get to the end client brilliantly, giving rise to the new logistic strategy of cross-docking. Cross-docking popularity depends heavily on properly executing operational-level policies like as...
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Language: | English |
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AIMS Press
2023-01-01
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Series: | Mathematical Biosciences and Engineering |
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Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2023146?viewType=HTML |
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author | Taniya Mukherjee Isha Sangal Biswajit Sarkar Qais Ahmed Almaamari |
author_facet | Taniya Mukherjee Isha Sangal Biswajit Sarkar Qais Ahmed Almaamari |
author_sort | Taniya Mukherjee |
collection | DOAJ |
description | Retail supply chains are intended to empower effectiveness, speed, and cost-savings, guaranteeing that items get to the end client brilliantly, giving rise to the new logistic strategy of cross-docking. Cross-docking popularity depends heavily on properly executing operational-level policies like assigning doors to trucks or handling resources to doors. This paper proposes a linear programming model based on door-to-storage assignment. The model aims to optimize the material handling cost within a cross-dock when goods are unloaded and transferred from the dock area to the storage area. A fraction of the products unloaded at the incoming gates is assigned to different storage zones depending on their demand frequency and the loading sequence. Numerical example considering a varying number of inbound cars, doors, products, and storage areas is analyzed, and the result proves that the cost can be minimized or savings can be intensified based on the feasibility of the research problem. The result explains that a variation in the number of inbound trucks, product quantity, and per-pallet handling prices influences the net material handling cost. However, it remains unaffected by the alteration in the number of material handling resources. The result also verifies that applying direct transfer of product through cross-docking is economical as fewer products in storage reduce the handling cost. |
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format | Article |
id | doaj.art-750ee554b3cc4ade9802fbe425e14126 |
institution | Directory Open Access Journal |
issn | 1551-0018 |
language | English |
last_indexed | 2024-04-10T19:37:42Z |
publishDate | 2023-01-01 |
publisher | AIMS Press |
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series | Mathematical Biosciences and Engineering |
spelling | doaj.art-750ee554b3cc4ade9802fbe425e141262023-01-30T01:48:17ZengAIMS PressMathematical Biosciences and Engineering1551-00182023-01-012023099311910.3934/mbe.2023146Logistic models to minimize the material handling cost within a cross-dockTaniya Mukherjee0Isha Sangal1Biswajit Sarkar 2Qais Ahmed Almaamari31. Department of Mathematics & Statistics, Banasthali Vidyapith, Banasthali, Rajasthan-304022, India 2. Administrative Science Department, College of Administrative and Financial Science, Gulf University, Sanad 26489, Kingdom of Bahrain1. Department of Mathematics & Statistics, Banasthali Vidyapith, Banasthali, Rajasthan-304022, India3. Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Sinchon-dong, Seodaemun-gu, Seoul 03722, South Korea 4. Center for Transdisciplinary Research (CFTR), Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, 162, Poonamallee High Road, Velappanchavadi, Chennai, Tamil Nadu 600077, India2. Administrative Science Department, College of Administrative and Financial Science, Gulf University, Sanad 26489, Kingdom of BahrainRetail supply chains are intended to empower effectiveness, speed, and cost-savings, guaranteeing that items get to the end client brilliantly, giving rise to the new logistic strategy of cross-docking. Cross-docking popularity depends heavily on properly executing operational-level policies like assigning doors to trucks or handling resources to doors. This paper proposes a linear programming model based on door-to-storage assignment. The model aims to optimize the material handling cost within a cross-dock when goods are unloaded and transferred from the dock area to the storage area. A fraction of the products unloaded at the incoming gates is assigned to different storage zones depending on their demand frequency and the loading sequence. Numerical example considering a varying number of inbound cars, doors, products, and storage areas is analyzed, and the result proves that the cost can be minimized or savings can be intensified based on the feasibility of the research problem. The result explains that a variation in the number of inbound trucks, product quantity, and per-pallet handling prices influences the net material handling cost. However, it remains unaffected by the alteration in the number of material handling resources. The result also verifies that applying direct transfer of product through cross-docking is economical as fewer products in storage reduce the handling cost.https://www.aimspress.com/article/doi/10.3934/mbe.2023146?viewType=HTMLcross-dockingschedulingadvanced logisticsmaterial handlingstorage space allocation |
spellingShingle | Taniya Mukherjee Isha Sangal Biswajit Sarkar Qais Ahmed Almaamari Logistic models to minimize the material handling cost within a cross-dock Mathematical Biosciences and Engineering cross-docking scheduling advanced logistics material handling storage space allocation |
title | Logistic models to minimize the material handling cost within a cross-dock |
title_full | Logistic models to minimize the material handling cost within a cross-dock |
title_fullStr | Logistic models to minimize the material handling cost within a cross-dock |
title_full_unstemmed | Logistic models to minimize the material handling cost within a cross-dock |
title_short | Logistic models to minimize the material handling cost within a cross-dock |
title_sort | logistic models to minimize the material handling cost within a cross dock |
topic | cross-docking scheduling advanced logistics material handling storage space allocation |
url | https://www.aimspress.com/article/doi/10.3934/mbe.2023146?viewType=HTML |
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