scholarly journals Solving the Multi-Commodity Single-Stage Capacitated Warehouse Location Problem Using Bat Algorithm

2021 ◽  
Vol 23 (05) ◽  
pp. 562-772
Author(s):  
Abdulgabbar Abdullah Mhana ◽  
◽  
Naglaa Ragaa ◽  
Hegazy Zaher ◽  
Heba Sayed ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Supply Chains ◽  
Location Problem ◽  
Bat Algorithm ◽  
Single Stage ◽  
Computational Results ◽  
Warehouse Location

The warehouse location problem is so important in supply chains management. In concerns with optimize the assignment of warehouses in order to minimize the total costs related to transportation and service costs. In this paper, a mathematical model for the multi-commodity single-stage capacitated warehouse location problem is presented. A bat algorithm is developed for solving the problem and an illustrative example is presented to show its implementation. The computational results is done on a large sized problem to show the efficiency of the proposed algorithm.

scholarly journals Application of Modified Benders Decomposition to Single-Stage Multi-Commodity Multi-Period Warehouse Location Problem: An Empirical Investigation

2016 ◽  
Vol 06 (03) ◽  
pp. 245-259 ◽  
Author(s):  
Renduchintala Raghavendra Kumar Sharma ◽  
Ankita Malviya ◽  
Vimal Kumar ◽  
Vinay Singh ◽  
Pritee Agarwal
Keyword(s):  
Benders Decomposition ◽  
Empirical Investigation ◽  
Location Problem ◽  
Single Stage ◽  
Warehouse Location

scholarly journals Warehouse location problem in supply chain designing: a simulation analysis

2019 ◽  
Vol 50 (2) ◽  
pp. 101-110
Author(s):  
Emilian Szczepański ◽  
Roland Jachimowski ◽  
Mariusz Izdebski ◽  
Ilona Jacyna-Gołda
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Input Data ◽  
Location Problem ◽  
Mathematical Formulation ◽  
Erlang Distribution ◽  
Model Parameters ◽  
Logistics System ◽  
Warehouse Location

The facility location problem is a popular issue in the literature. The current development of world economies and globalization of the market requires continuous improvement of methods and research in this field. The location of the object determines the time of transport, affects the operational costs of the supply chain, and determines the possible amount of inventory or minimum inventory levels. These are critical issues from the point of view of designing an effective logistics system. The degree of complexity of current decision-making problems requires the construction of mathematical models and support for the decision-maker by optimization and simulation methods. A comprehensive and systemic approach to the problem allows the effective planning of supply chains. The purpose of this article was to study the sensitivity of the warehouse location problem in the supply chain. The solution was obtained based on the methodology developed under the SIMMAG3D project. The article presents the characteristics of the issue of the location of warehouse objects, the mathematical formulation of the solved problem of location and the method of its solution based on the heuristic algorithm using the modification of the Busacker-Gowen method. Then, a supply chain simulation model was developed in the FLEXSIM environment and scenario studies were performed for various input data and model parameters. The analysis and assessment of the solution based on parameters such as utilization of the potential of warehouse objects object were presented. Random change in demand described by Erlang distribution and normal distribution was considered. The analysis showed how the selection of a statistical distribution to describe the input data can affect the shape of the logistics system. The article ends with a summary of considerations and a plan for further research in the use of the simulation environment to support the decision-making process of the location of storage facilities and the functioning of supply chains.

An Improved Bat Algorithm and its Application in the Logistics Distribution Center Location Problem

2013 ◽  
Vol 404 ◽  
pp. 738-743
Author(s):  
Yue Guang Li
Keyword(s):  
Mathematical Model ◽  
Location Problem ◽  
Time Window ◽  
Influence Factors ◽  
Bat Algorithm ◽  
Distribution Center ◽  
Center Problem ◽  
Logistics Distribution ◽  
Distribution Logistics ◽  
Selection Operator

In this paper, according to the characteristics and influence factors of the distribution logistics and distribution center problem, a mathematical model of the distribution center of the LRTWP (Location and Routing with Time Window Problem) was established. An improved bat algorithm was used to solve the model, the parameter and selection operator in the algorithm is set reasonably. Simulations and results indicate that the improved bat algorithm has better feasibility and validity for solving the LRTWP.

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