Abstract

The presented article deals with the issue of solving bottlenecks in the logistics flow of a manufacturing company. The Tx Plant Simulation software tool is used to detect bottlenecks and deficiencies in the company’s production, logistics and transportation systems. Together with the use of simulation methods and lean manufacturing tools, losses in business processes are eliminated and consequently flow throughput is improved. In the TX Plant Simulation software environment, using Bottleneck analyzer, bottlenecks were defined on the created simulation model and a method of optimizing logistics flows was designed and tested by introducing the Kanban pull system. This resulted in an improvement and throughput of the entire logistics flow, a reduction in inter-operational stocks and an increase in the efficiency of the production system as a whole.

Highlights

  • The goal of manufacturing companies is to satisfy the needs of customers with the lowest logistics costs for both parties

  • The results of the analysis of individual simulation processes using the Bottleneck analyzer tool shown in Table 4 show that line number 3 with final assembly and testing sites has more than 61% waiting times during the overall production process

  • The potential in the Tx Plant Simulation software used in the case study can be seen in its dynamics and hierarchical structure, which allows it to work with and modify the already created model, and to create simulation models of material flow that can reflect a number of logistics and production systems operating on different principles

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Summary

Introduction

The goal of manufacturing companies is to satisfy the needs of customers with the lowest logistics costs for both parties. A critical factor in the manufacturing industry is waste and losses in individual operations and processes. The expansion of lean manufacturing elements, such as the traction system with the interconnection of key technologies, brings new elements of production planning and management. Simulations and modeling bring new possibilities of experimentation in the virtual environment of prepared systems or devices without direct disruption of the functioning system. Every business needs a reliable material flow and the movement must be as efficient as possible [1,2,3,4,5,6,7]. That is why the introduction of lean manufacturing principles into logistics processes is a benefit for the company, helping to maintain the quality of its products

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