A Soft Optimization Model to Solve Space Allocation Problems in Breakbulk Terminals

Masood Jafari Kang, Pooyan Mobtahej, Atefe Sedaghat and Maryam Hamidi

MPRA Paper from University Library of Munich, Germany

Abstract: In recent decades, freight transportation systems have been developed rapidly. This development leads to using various policies to enhance system utilization. The studies show that an optimized policy related to space allocation benefits the shareholders in freight transportations. The objective of space allocation problems is to find the best arrangement of cargos in warehouse cells to meet the problem aims. In this paper, inspired by the Office Space Allocation problem, we developed a novel model to minimize the handling costs and to maximize available spaces for the next arriving cargo. We first formulate the optimization model and discuss various constraints. We then present an approach to solve the proposed model. Lastly, we analyze a numerical example derived from the data of Port of Beaumont to illustrate the efficiency of the model.

Keywords: Freight Transportation; System Utilization; Space Allocation Problems; Warehouse; Cargo (search for similar items in EconPapers)
JEL-codes: C61 L91 R41 (search for similar items in EconPapers)
Date: 2021-11-18, Revised 2021-12-13
New Economics Papers: this item is included in nep-tre
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Published in COMPUTATIONAL RESEARCH PROGRESS IN APPLIED SCIENCE & ENGINEERING (CRPASE) 04.07(2021): pp. 1-7

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:111372

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