Proceedings ArticleDOI
A genetic algorithm based approach for integration of process planning and production scheduling
Zhao Fuqing,Hong Yi,Yu Dongmei,Yang Yahong +3 more
- pp 483-488
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TLDR
In this article, a fuzzy inference system (FI9) was used in choosing alternative machines for integrated process planning and scheduling in a job shop manufacturing system, based on the machines reliability.Abstract:
Process planning and production scheduling play important roles in manufacturing systems Their roles are to ensure the availability of manufacturing resources needed to accomplish production tasks result from a demand forecast In this paper, a fuzzy inference system(FI9) in choosing alternative machines for integrated process planning and scheduling bf a job shop manufacturing system are proposed Instead of choosing alternative machines randomly, machines are being selected based on the machines reliability The mean time to failure (MTF) values are input in a fuzzy inference mechanism, which outputs the machine reliability The machine is then being penalized based on the fuzzy output The most reliable machine will have the higher priority to be chosen In order to overcome the problem of un-utilization machines, sometimes faced by unreliable machine, the genetic algorithms have been used to balance the load for all the machines Simulation study shows that the system can be used as an alternative way of choosing machines in integrated process planning and schedulingread more
Citations
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Journal ArticleDOI
Computer-aided process planning-A critical review of recent developments and future trends
TL;DR: An up-to-date review of the CAPPResearch works, a critical analysis of journals that publish CAPP research works, and an understanding of the future direction in the field are provided.
Journal ArticleDOI
Integration of process planning and scheduling: a state-of-the-art review
TL;DR: Three common integration approaches, non-linear approach, closed loop approach and distributed approach, are discussed with their relative advantages and disadvantages and reported research is classified accordingly.
Journal ArticleDOI
Survey on computer-aided process planning
Yusri Yusof,Kamran Latif +1 more
TL;DR: An up-to-date survey with graphical representation for easy understanding of the past, present, and future of CAPP.
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A review on Integrated Process Planning and Scheduling
TL;DR: A review of the reported research in Integrated Process Planning and Scheduling (IPPS), the extent of applicability of various approaches are discussed and some future research trends are suggested.
Journal ArticleDOI
A grammatical optimization approach for integrated process planning and scheduling
Adil Baykasoğlu,Lale Özbakır +1 more
TL;DR: A novel approach which makes use of grammatical representation of generic process plans is used within a multiple objective tabu search framework in order to integrate process planning and scheduling effectively.
References
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Book
Introduction to sequencing and scheduling
TL;DR: In this article, the authors present an introduction to Sequencing and Scheduling in the context of the Operational Research Society (ORS) and the International Journal of Distributed Sensor Networks (ILS).
Book
Sequencing and Scheduling: An Introduction to the Mathematics of the Job-Shop
TL;DR: In this article, an introduction to the mathematics of the job shop is presented, with a focus on the sequential and scheduling aspects of the system. But this approach is not suitable for all job-shop scenarios.
Journal ArticleDOI
Fuzzy programming for multiobjective job shop scheduling with fuzzy processing time and fuzzy duedate through genetic algorithms
Masatoshi Sakawa,Ryo Kubota +1 more
TL;DR: By incorporating the concept of similarity among individuals into the genetic algorithms using the Gannt chart, a genetic algorithm which is suitable for solving the formulated problems are proposed and are demonstrated by comparing with the simulated annealing method.
Journal ArticleDOI
A hybrid genetic algorithm for the job shop scheduling problems
TL;DR: The goal of this research is to develop an efficient scheduling method based on genetics algorithm to address JSSP, and the proposed approach yields significant improvement in solution quality.
Journal ArticleDOI
A multi-population genetic algorithm to solve multi-objective scheduling problems for parallel machines
TL;DR: The MPGA is extended to scheduling problems with three objectives: makespan, TWT, and total weighted completion times (TWC), and also performs better than MOGA.
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