Research on Optimizing Lot Sizing of Job Shop Based on eM_plant

Authors

Xiaobing Pei, College of Management, Tianjin University of Technology, Tianjin 300384, China;
Linlin Tan, College of Management, Tianjin University of Technology, Tianjin 300384, China;

Abstract

Abstract: Considering maximizing the rate of account and choosing production process time as the optimization objectives to solve the lot sizing optimization problems of job shop, the model about production time under ideal conditions was established, and accordingly the formula of solving theoretical optimal lot sizing was derived. To compensate for the limitations of mathematical modeling and improve the feasibility of the optimal solution, the actual manufacturing operations in job shop was simulated and optimized according to production batch simulation optimization strategy by eM_plant software. By running the simulation model the theoretical optimal solution was amended, to make optimal solution more feasibility. Through solving the job shop production instance, the optimal solution could shorten the production process time effectively. Experimental results verify the effectiveness of this model and simulation optimization.

Recommended Citation

Pei, Xiaobing and Tan, Linlin (2020) "Research on Optimizing Lot Sizing of Job Shop Based on eM_plant," Journal of System Simulation: Vol. 27: Iss. 7, Article 8.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss7/8

First Page

1458

Revised Date

2014-09-17

DOI Link

https://doi.org/

Last Page

1467

CLC

TP391.9

Recommended Citation

Pei Xiaobing, Tan Linlin. Research on Optimizing Lot Sizing of Job Shop Based on eM_plant[J]. Journal of System Simulation, 2015, 27(7): 1458-1467.