| dc.description.abstract | This research is a case study of the production logistics optimization of the metal parts manufacturing industry in the multi-plant situation. The local T company, which is deeply engaged in a variety of high-value-added components, is the research object. From the actual production point of view, statistics are made on the processing of each plant. Time & stagnation time & transportation time and the distance between each plant area, the component production flow chart is performed for each production plant interval process. This method can not only analyze the advantages and disadvantages of the simulated plant interval process layout, but also present the actual production logistics optimization operation scenario in the case of multiple plants. , Can also analyze and calculate the product manufacturing process.
This research uses various research data collected from ERP to find out the bottlenecks in the production process and make reasonable improvements. The manufacturing process is reengineered and optimized, shortening the transportation time, improving product quality, and successfully shortening the time for customers. The time required to increase production capacity is also the main motivation for this study.
In the process of discussing this optimization plan, this research has a deep understanding of the huge manpower, material resources, determination and achievements invested by T Company in the production of multi-factory transportation, and the reasons for the success of this plan are summarized as follows .
After in-depth discussion and analysis of this research, the following conclusions can be drawn from this research case:
1. Find out the best successful equipment moving combination plan from the wasted experience in the past.
2. Properly plan and analyze each plan, and be able to accurately execute the project tasks to ensure the success of the project.
3. Auxiliary analysis of scientific statistics.
The following suggestions are also made for the individual case:
1. The data obtained through the ERP system can be reused for further analysis, how to shorten the time of multi-plant inter-process logistics and achieve the best profit with the least handling cost.
2. On the basis of the successful transformation of the manufacturing process, continue to study to maintain growth and profitability.
Suggestions for future research directions are:
1. Adopt statistics and analysis research, and get the full picture of project plan optimization by means of simulation.
2. Continue to research on the optimization of production logistics in the case of multiple factories, and propose solutions to quickly shorten the manufacturing and debugging time.
Regarding the selection of the subject of this research, the establishment and analysis of the research data and the interviews with the company′s senior management level have strived to be rigorous and consistent with scientific principles, but there are still some limitations:
1. Restrictions on research methods. Some of the materials in this research are considered for commercial secrets and cannot be fully disclosed.
2. The research object is only for a single case and lacks objectivity.
3. Data collection is subject to company trade secret restrictions. | en_US |