Open AccessJournal Article
Efficient priority rules for dynamic sequencing with sequence-dependent setups
TL;DR: In this paper, the authors proposed a revised version of their article, Received November 4, 2015 Received in Revised Format December 21, 2015 Accepted February 1, 2016, accepted February 1
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Abstract: Article history: Received November 4 2015 Received in Revised Format December 21 2015 Accepted February 1
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Citations
Reinforcement learning for combined production-maintenance and quality control of a manufacturing system with deterioration failures
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A data-driven simulation-optimization framework for generating priority dispatching rules in dynamic job shop scheduling with uncertainties
Hao-nan Wang,Tao Peng,A. Nassehi,Renzhong Tang +3 more
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•Journal Article
Efficient priority rules for dynamic sequencing with sequence-dependent setups
TL;DR: In this paper, the authors proposed a revised version of their article, Received November 4, 2015 Received in Revised Format December 21, 2015 Accepted February 1, 2016, accepted February 1
A Simulation Optimisation Tool and Its Production/Inventory Control Application
TL;DR: The open-source software JSOptimizer is developed that can be used to optimise simulation models of complex engineering systems built with JaamSim and utilises the jMetal framework, a well-known and validated library of meta-heuristic optimisation algorithms.
Multi-Criteria Optimization in Operations Scheduling Applying Selected Priority Rules
TL;DR: The results of the optimization experiments indicate that the evaluation via applying multi-criteria optimization is relevant for identifying effective solutions in the design space when the specific priority rule is applied in the scheduling operations.
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References
A survey of scheduling problems with setup times or costs
TL;DR: An extensive review of the scheduling literature on models with setup times (costs) from then to date covering more than 300 papers is provided, which classifies scheduling problems into those with batching and non-batching considerations, and with sequence-independent and sequence-dependent setup times.
1.4K
Scheduling and lot sizing with sequence-dependent setup: A literature review
Xiaoyan Zhu,Wilbert E. Wilhelm +1 more
TL;DR: A review of the literature related to the class of scheduling problems that involve sequence-dependent setup times (costs), an important consideration in many practical applications, can be found in this paper.
252
Multi-objective scheduling of dynamic job shop using variable neighborhood search
TL;DR: The proposed method is compared with some common dispatching rules that have widely used in the literature for dynamic job shop scheduling problem and shows the high effectiveness and efficiency of the proposed method in a variety of shop floor conditions.
191
Repetitive lots: flow-time reductions through sequencing and dynamic batch sizing
F. Robert Jacobs,Daniel J. Bragg +1 more
TL;DR: This paper presents a new integrative concept for job sequencing, dispatching, and lot sizing called repetitive lots (RL), which uses a number of features which have not been considered jointly in either the lot-sizing or job-dispatching/sequencing literature.
131
Efficient dispatching rules for dynamic job shop scheduling
TL;DR: In this article, the authors provide efficient dispatching rules for dynamic job shop scheduling by combining different dispatching rule, such as MWKR_FIFO and TWKR_SPT.
131