Study of Decision-Making Problems in the Production Process

DOI

10.2991/978-94-6463-811-0_52How to use a DOI?

Keywords

decision-making problem; cost effectiveness model; Monte Carlo; Slime mold algorithm

Abstract

In this paper, the decision strategy under different scenarios is studied for the decision choice problem of manufacturing enterprises in the production process. The study aims to help improve the operational efficiency and agility of enterprises through the specific analysis of the decision-making problem in the production process to provide enterprises with feasible decision support tools, improve production efficiency and resource utilization, and help intelligent manufacturing upgrade. As in the production process, the spare parts used and the synthesized finished product may be defective, and defective products to the hands of the user will have to pay a certain amount of compensation or even reduce the credibility of the enterprise. At the same time, if you choose to test the spare parts and finished products also need to pay a certain amount of testing costs. Therefore, how to better find the most profitable decision has become a major problem. In order to solve these problems, this paper divides the production situation into two categories: single process and two spare parts, and multiple processes and multiple spare parts, and assumes specific values such as product failure rate and spare part cost. In the case of single process and two spare parts, this paper constructs a decision tree model and a cost effectiveness model, and solves them by Monte Carlo (MC) simulation. In the case of multi-process and multi-part production, the production process is too complex and high-dimensional when the MC simulation method requires a large number of samples, which usually shows a lower efficiency, so we use the Slime mold algorithm (SMA) to produce results more efficiently. After experiments with specific numerical settings, it is shown that the proposed model can produce good results in many cases. This not only helps to improve the operational efficiency and agility of enterprises, but also has strategic significance in promoting the digital transformation of the manufacturing industry and realizing sustainable development.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Tian Qin
AU  - Jiabao Lv
AU  - Mingyu Cao
AU  - Fang He
PY  - 2025
DA  - 2025/08/14
TI  - Study of Decision-Making Problems in the Production Process
BT  - Proceedings of the 2025 5th International Conference on Enterprise Management and Economic Development (ICEMED 2025)
PB  - Atlantis Press
SP  - 492
EP  - 509
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-811-0_52
DO  - 10.2991/978-94-6463-811-0_52
ID  - Qin2025
ER  -