Simulations in planning logistics processes as a tool of decision-making in manufacturing companies

Author:

Daroń Marta1ORCID

Affiliation:

1. Czestochowa University of Technology , J.H. Dąbrowskiego 69 , Częstochowa , Poland

Abstract

Abstract Appropriate logistics planning is a key factor influencing the quality and efficiency of processes in manufacturing companies. Logistics planning can be defined as the process of making significant decisions (concerning both logistics processes and resources) for the functioning of an organization. It is a process consisting of stages in which important decisions are made regarding the optimization of all activities of the company, including in the field of: production, supply, sales, distribution, transport. The main goal of logistics activities is to minimize the operating costs incurred, as well as to better manage human resources. The main aim of the article is to present the legitimacy of using selected simulation software as an actual tool in making logistic decisions in the field of order picking system (OPS) based on a case study. For research purposes, a model was prepared in FlexSim and there were applied S-shape and Return routing methods. Based on simulation results, an analysis of the selected process was carried out. The obtained results indicate possible directions of changes and allow to make the right decision in the field of planning logistics processes.

Publisher

Stowarzyszenie Menedzerow Jakosci i Produkcji

Subject

Management of Technology and Innovation,Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality,Management Information Systems

Reference70 articles.

1. Agalianos, K., Ponis, S.T., Aretoulaki, E., Plakas, G., Efthymiou, O., 2020. Discrete Event Simulation and Digital Twins: Review and Challenges for Logistics. Procedia Manufacturing, 51, 2020, 1636-1641, ISSN 2351-9789, DOI: 10.1016/j.promfg.2020.10.228.

2. Bajdor, P., 2021. Simulations of the Relationship between the Experience Level of E-Commerce Customers and the Adopted Variables - Implications for Management in the Area of Online Shopping. Procedia Computer Science, 192, 2576-2585, DOI: 10.1016/j.procs.2021.09.027

3. Baskiewicz, N., 2018. Coordination of Cooperation in the Field of Logistics in the Automotive Industry. in: Logistics and Organizations - Brazilian and Polish Experience (ed.) Otola, I., Grabowska, M., Okano, M. T., Centro Estadual de Educacao Tecnologica Paula Souza, Sao Paulo, Brazil, 150-162

4. Beaverstock, M., Greenwood, A., Lavery, E., Nordgren, W., 2017, Applied Simulation. Modeling and Analysis using FlexSim. 5th Edition, FlexSim Software Products Inc. Orem. USA

5. Berg, J.V., Zijm, W. 1999. Models for warehouse management: Classification and examples. International Journal of Production Economics, 519-528.

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