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Article type: Research Article
Authors: Abbasi-Tavallali, Pezhmana | Feylizadeh, Mohammad Rezaa; b; * | Amindoust, Atefeha
Affiliations: [a] Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran | [b] Department of Industrial Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran
Correspondence: [*] Corresponding author. Mohammad Reza Feylizadeh, E-mail: feylizadeh@iaushiraz.ac.ir.
Abstract: Cross-dock is defined as the practice of unloading goods from incoming vehicles and loading them directly into outbound vehicles. Cross-docking can simplify supply chains and help them to deliver goods to the market more swiftly and efficiently by removing or minimizing warehousing costs, space requirements, and use of inventory. Regarding the lifetime of perishable goods, their routing and scheduling in the cross-dock and transportation are of great importance. This study aims to analyze the scheduling and routing of cross-dock and transportation by System Dynamics (SD) modeling to design a reverse logistics network for the perishable goods. For this purpose, the relations between the selected variables are first specified, followed by assessing and examining the proposed model. Finally, four scenarios are developed to determine the optimal values of decision variables. The results indicate the most influencing factors on reaching the optimal status is the minimum distance between the cross-dock and destination, rather than increasing the number of manufactories.
Keywords: Scheduling, routing, transportation, cross-dock, reverse logistics network, perishable goods
DOI: 10.3233/JIFS-200610
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 10417-10433, 2021
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