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Keyword

dispatching rules

Description: Scheduling heuristics that select the next job or task for processing in manufacturing and other production systems.
OpenAlex ID: keywords/dispatching-rules
A heuristic algorithm for the m-machine, n-job flow-shop sequencing problem
1983 · Muhammad Nawaz, E Emory Enscore, et al. · Omega · 2,538
Computing with Membranes
2000 · Gheorghe Păun · Journal of Computer and System Sciences · 2,286
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The use of grey relational analysis in solving multiple attribute decision-making problems
2008 · Yiyo Kuo, Taho Yang, et al. · Computers & Industrial Engineering · 1,114
A state-of-the-art survey of dispatching rules for manufacturing job shop operations
1982 · JOHN H. BLACKSTONE, DON T. PHILLIPS, et al. · International Journal of Production Research · 1,013
Serial and parallel resource-constrained project scheduling methods revisited: Theory and computation
1996 · Rainer Kolisch · European Journal of Operational Research · 701
A hybrid genetic algorithm for the job shop scheduling problem
2004 · José Fernando Gonçalves, Jorge José de Magalhães Mendes, et al. · European Journal of Operational Research · 648
A Dynamic Programming Solution to the Single Vehicle Many-to-Many Immediate Request Dial-a-Ride Problem
1980 · Harilaos N. Psaraftis · Transportation Science · 602
Operational methods for minimization of energy consumption of manufacturing equipment
2007 · Gilles Mouzon, Mehmet B. Yildirim, et al. · International Journal of Production Research · 600
The distributed permutation flowshop scheduling problem
2009 · B. Naderi, Rubén Ruiz · Computers & Operations Research · 585
Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning
2020 · Shu Luo · Applied Soft Computing · 583
A comprehensive review and evaluation of permutation flowshop heuristics
2004 · Rubén Ruiz, Concepción Maroto · European Journal of Operational Research · 581
Letter to the Editor—A Proof of the Optimality of the Shortest Remaining Processing Time Discipline
1968 · Linus Schrage · Operations Research · 562
Sequencing Jobs Through a Multi-Stage Process in the Minimum Total Time—A Quick Method of Obtaining a Near Optimum
1965 · D. S. Palmer · Journal of the Operational Research Society · 549
Experimental evaluation of state-of-the-art heuristics for the resource-constrained project scheduling problem
2000 · Sönke Hartmann, Rainer Kolisch · European Journal of Operational Research · 503
A survey of priority rule-based scheduling
1989 · R. Haupt · OR Spectrum · 499
Sequencing Rules and Due-Date Assignments in a Job Shop
1984 · Kenneth R. Baker · Management Science · 488
Machine Scheduling Problems: Classification, complexity and computations
1976 · Rinnooy Kan · Medical Entomology and Zoology · 478
A review of design and control of automated guided vehicle systems
2005 · Tuan Le-Anh, M.B.M. De Koster · European Journal of Operational Research · 476
Evolving dispatching rules using genetic programming for solving multi-objective flexible job-shop problems
2007 · Joc Cing Tay, Nhu Binh Ho · Computers & Industrial Engineering · 471
The Role of the Priority Rule in Science
2003 · Michael Strevens · The Journal of Philosophy · 345
Smart Manufacturing Scheduling With Edge Computing Using Multiclass Deep Q Network
2019 · Chun-Cheng Lin, Der-Jiunn Deng, et al. · IEEE Transactions on Industrial Informatics · 342
Evolution based learning in a job shop scheduling environment
1995 · Ulrich Dorndorf, Erwin Pesch · Computers & Operations Research · 332
Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning
2021 · Junyoung Park, Junyoung Park, et al. · International Journal of Production Research · 330
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A reinforcement learning approach to parameter estimation in dynamic job shop scheduling
2017 · Jamal Shahrabi, Mohammad Amin Adibi, et al. · Computers & Industrial Engineering · 314
A survey on the resource-constrained project scheduling problem
1995 · LINET ÖZDAMAR, GÜNDÜZ ULUSOY · IIE Transactions · 314
Works count: 5,794
Citation count: 92,200
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