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Optimization of Enterprise Supply Chain System Based on Computer Simulation Technology
Author(s) -
Feng Xiong,
Beibei Sha
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1345/6/062017
Subject(s) - scope (computer science) , factory (object oriented programming) , computer science , manufacturing engineering , integrated logistics support , reducer , process (computing) , production (economics) , process management , systems engineering , industrial engineering , engineering management , engineering , civil engineering , economics , macroeconomics , programming language , operating system
The production logistics is the unique of the factory enterprise which makes the product, it is synchronous with the production, and the production process is carried out in a certain workshop scope. Therefore, the layout design of the logistics system is a prerequisite for the advantages and disadvantages of logistics system. The layout of the workshop layout design determines the production logistics, production logistics is reasonable, smooth, not too much cross and move back to the enterprise efficiency is very important. The good and bad of the layout design of an enterprise’s workshop not only determines the running status of the logistics system, but also is one of the key factors to achieve the high efficiency. The Pudong Shanghai Zhenhua Port Machinery Co., Ltd. reducer manufacturing workshop as the object of empirical study, through the layout of the workshop, production process and the logistics situation of study and application of enterprise logistics system analysis theory and method of optimization, of workshop facilities and logistics to re layout design, the logistics more reasonable, improve work efficiency, and the application of efactory software on the system before and after optimization modeling and analysis, and further comparative analysis of the results, thus proving the effectiveness of the optimization scheme.

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