원문정보
초록
영어
Since that a job usually contains several working procedures in actual production, and it’s hard to optimize the flexible collaborative planning, the flexible lot splitting and scheduling of the job simultaneously in batch production mode, a model for multi-objective integration of flexible collaborative planning and fuzzy lot-splitting scheduling is established. We take four performance indicators below which are the most common as standards to optimize the model: average delivery satisfaction, fuzzy total cost, fuzzy completion time and average credibility of job tardiness, and then a multi-objective algorithm based on the Pareto optimal is established. In this algorithm, we design the integrated coding scheme, which include collaboration chromosome, lot-splitting chromosome and scheduling chromosome, meanwhile the Pareto optimal scheme is designed. Finally, the efficiency of the model and algorithm is proved by the simulation.
목차
1. Introduction
2. Related Works
3. Fuzzy Measure of Key Performance Indicators in the Model
3.1. Satisfaction Index
3.2. Fuzzy Total Cost Index
3.3. Fuzzy Total Cost Index
3.4. Tardiness Credibility Index
4. A Model for Multi-Objective Integration of Flexible Collaborative Planning And Fuzzy Lot-Splitting Scheduling
4.1. Problem Description
4.2. Objective functions
4.3. Constraints
5. Algorithm for the Model Based On the Pareto Optimal
5.1. Coding and Decoding
5.2. Crossover and Mutation Operation
5.3. Fast Non-Dominant Sorting and Selection Operation
5.4. The Algorithm Flow
6. Simulation and Analysis
7. Conclusion
8. Acknowledgements
9. References
9.1 Journal Article
9.2 Conference Proceeding
9.3 Books