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13. A Multiple Criteria Mixed Integer for the Parallel Machine Scheduling Problem Programming Model: Common Sourcing
Invited abstract in session TC-45: Integer Programming for Decision Support, stream Decision Support Systems.
Tuesday, 12:30-14:00Room: 30 (building: 324)
Authors (first author is the speaker)
| 1. | Tugce Yucel
|
| Industrial Engineering, Turkish Aerospace Instution |
Abstract
Companies have to use all their resources in an optimum way in order to be successful in a competitive environment. One of the important approaches in recent years is the effective use of the workforce and the effective use of human resources in order to achieve efficiency.Different in industry for production environments, widely parallelized to minimize production time in different production environments machine scheduling problems are used.In this study, it was applied in a defense industry company in Turkey. A multi-criteria mixed integer programming model has been developed for more efficient planning on two identical NC machines.The aim of the model is to minimize the total delay time and total completion time of the jobs.The aim is to ensure that many parts of different projects are correct on the cutting benches minimizing total delay and total completion time according to prioritization and under certain constraints.In addition,an iterative heuristic approach based on a mathematical model has been developed for the problem size for which the mathematical model is not sufficient. The methodology used is to increase the efficiency of the company by improving the total time to completion, maximum latency, total latency and number of delayed jobs.
Keywords
- Multi-Objective Decision Making
- Mathematical Programming
- Programming, Mixed-Integer
Status: accepted
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