The Application of the Genetic Algorithm to Multi-Criteria Warehouses Location Problems on the Logistics Network

Abstract

This paper presents multi-criteria warehouses location problem in the logistics network. In order to solve this problem the location model was developed. The limitations and optimization criteria of the model were determined. Optimization criteria refer to transportation costs, costs associated with warehouses, e.g.: local taxes, expenditure on starting the warehouse, the constant costs, the labour force costs, the purchase costs of the additional land for the expansion, the transition costs of the raw material via the warehouses. The final location of warehouse facilities was obtained using a genetic algorithm. The genetic algorithm was developed in order to solve the multi-criteria warehouses location problem. This paper describes the stages of the genetic algorithm i.e. the stage of designating the initial population, the crossover and mutation process, the adaptation function. In this paper, the process of calibration of this algorithm was presented. The results of the genetic algorithm were compared with the random results.

Optimization on Medical Material Distribution Management System Based on Artificial Intelligence Robot

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“…The literature [ 9 ] combines Six Sigma management and lean production methods to improve the hospital's inventory management of important medical equipment. The literature [ 10 ] constructed a VMI model for a single supplier and multiretailer supply chain.…”

A Model for the Designing of Multimodal Transport Processes and the Concept of Its Integration with the EPLOS System

“…Additionally, the requirements regarding the transport temperature (5)- (7), as well as the protection of the load against the adverse effects of water (8) and solar radiation and light (9), were taken into account. The following constraint includes the possibility of cooperation of the means of transport with the loading devices (10) and (11), as well as the possibility of handling the selected forms of transport by the chosen means of transport (12) and (13), the possibility of using them to perform specific tasks (14), the selection for individual technological activities (15) and their movement on individual routes (16), or admissibility of a selection of individual technologies for the considered transport tasks (17). The conditions resulting from the permissible loading of loading devices (18) are also important.…”

“…However, in previous years, the issues related to the selection of multimodal transport technologies were considered in partial terms. Namely, some of the authors dealt exclusively with the key transport susceptibility of cargo in this area [7][8][9][10][11][12][13][14], while others, apart from this issue, proposed various approaches to optimizing the supply chain configuration [15][16][17][18][19][20][21][22][23][24], or they dealt exclusively with the issue of the selection of the means of transport for tasks [25,26] or, e.g., optimization of transport routes [27][28][29].…”

The Method for Evaluation of Efficiency of the Concept of Centrally Managed Distribution in Cities

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