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Solution to IPPS Problem Under the Condition of Uncertain Delivery Time

  • Jing Ma
  • Yan Li
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 670)

Abstract

Aiming at uncertain delivery time problems of process planning and job shop scheduling integration (integrated process planning and scheduling, IPPS), fuzzy number is introduced to denote the workpiece delivery time. And maximizing workpiece delivery satisfaction weighted and minimizing the maximum completion time are taken as the optimization objective to establish the mathematical model. Genetic algorithm is used to search the optimal scheduling to meet the target function. Finally, an example verifies the effectiveness and feasibility of the model and algorithm.

Keywords

Process planning Job shop scheduling Delivery time Fuzzy number Genetic algorithm 

Notes

Acknowledgements

This research is supported by the National Natural Science Foundation of China (Grant No: 61402361, 60903124); project supported by the scientific research project of Shaanxi Provincial Department of Education (Grant No: 14JK1521); Shaanxi Province Science and Technology Research and Development Project (Grant No: 2012KJXX-34).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Mechanical and Precision Instrument EngineeringXi’an University of TechnologyXi’anChina

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