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International Journal of Production Research Volume 33, 1995 - Issue 11
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Original Articles

A learning-based methodology for dynamic scheduling in distributed manufacturing systems

C. CHIU School of Industrial Engineering, Purdue University, West Lafayette, Indiana, USA
&
Y. YIH School of Industrial Engineering, Purdue University, West Lafayette, Indiana, USAView further author information
Pages 3217-3232 | Received 01 Oct 1994, Published online: 25 Jun 2007

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Longfei Zhou, Lin Zhang, Bhaba R. Sarker, Yuanjun Laili & Lei Ren. (2018) An event-triggered dynamic scheduling method for randomly arriving tasks in cloud manufacturing. International Journal of Computer Integrated Manufacturing 31:3, pages 318-333.
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Ayşegül Toptal & Ihsan Sabuncuoglu. (2010) Distributed scheduling: a review of concepts and applications. International Journal of Production Research 48:18, pages 5235-5262.
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Luisa Huaccho Huatuco, Janet Efstathiou, Ani Calinescu, Suja Sivadasan & Stella Kariuki. (2009) Comparing the impact of different rescheduling strategies on the entropic-related complexity of manufacturing systems. International Journal of Production Research 47:15, pages 4305-4325.
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Yeou-Ren Shiue. (2009) Data-mining-based dynamic dispatching rule selection mechanism for shop floor control systems using a support vector machine approach. International Journal of Production Research 47:13, pages 3669-3690.
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Christopher D. Geiger & Reha Uzsoy. (2008) Learning effective dispatching rules for batch processor scheduling. International Journal of Production Research 46:6, pages 1431-1454.
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K.-J. Wang , J. C. Chen & Y.-S. Lin. (2005) A hybrid knowledge discovery model using decision tree and neural network for selecting dispatching rules of a semiconductor final testing factory. Production Planning & Control 16:7, pages 665-680.
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M. Shin & M. Jung . (2005) Bid generation and evaluation for MANPro-based real time scheduling. International Journal of Production Research 43:18, pages 3821-3836.
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Sanghoon Lee & Mooyoung Jung. (2003) Timing constraints' optimization of reserved tasks in the distributed shop-floor scheduling. International Journal of Production Research 41:2, pages 397-410.
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Jun-Geol Baek, Chang-Ouk Kim & Sung Shick Kim. (2002) Online learning of the cause-and-effect knowledge of a manufacturing process. International Journal of Production Research 40:14, pages 3275-3290.
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Kung-Jeng Wang & Chung-How Chou. (2001) MODELING OF AGENT-BASED MANUFACTURING SYSTEMS. Journal of the Chinese Institute of Industrial Engineers 18:1, pages 1-14.
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Ching-En Lee & Chaw-Wen Chen. (1999) 在緊急訂單與延遲成本考量下零工型排程問題派工法之硏究. Journal of the Chinese Institute of Industrial Engineers 16:1, pages 129-146.
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Articles from other publishers (39)

Veera Babu Ramakurthi, Vijaya Kumar Manupati, Leonilde Varela & Goran Putnik. (2023) Leveraging Blockchain to Support Collaborative Distributed Manufacturing Scheduling. Sustainability 15:4, pages 3283.
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Leonilde R. Varela, Justyna Trojanowska, Maria Manuela Cruz-Cunha, Miguel Ângelo Pereira, Goran D. Putnik & José M. Machado. (2023) Global Resources Management: A Systematic Review and Framework Proposal for Collaborative Management of CPPS. Applied Sciences 13:2, pages 750.
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Leonilde R. Varela, Cátia F. V. Alves, André S. Santos, Gaspar G. Vieira, Nuno Lopes & Goran D. Putnik. (2022) Analysis of a Collaborative Scheduling Model Applied in a Job Shop Manufacturing Environment. Machines 10:12, pages 1138.
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Arnaud Laurent, Damien Lamy, Benjamin Dalmas & Vincent Clerc. (2021) Pattern mining‐based pruning strategies in stochastic local searches for scheduling problems. International Transactions in Operational Research 29:5, pages 2815-2840.
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Xueyan Sun, Birgit Vogel‐Heuser, Fandi Bi & Weiming Shen. (2022) A deep reinforcement learning based approach for dynamic distributed blocking flowshop scheduling with job insertions. IET Collaborative Intelligent Manufacturing 4:3, pages 166-180.
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Anam Nawaz Khan, Naeem Iqbal, Atif Rizwan, Sehrish Malik, Rashid Ahmad & Do Hyeun Kim. (2022) A Criticality-Aware Dynamic Task Scheduling Mechanism for Efficient Resource Load Balancing in Constrained Smart Manufacturing Environment. IEEE Access 10, pages 50933-50946.
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Longfei Zhou, Lin Zhang & Berthold K.P. Horn. (2020) Deep reinforcement learning-based dynamic scheduling in smart manufacturing. Procedia CIRP 93, pages 383-388.
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Longfei Zhou, Lin Zhang, Lei Ren & Jian Wang. (2019) Real-Time Scheduling of Cloud Manufacturing Services Based on Dynamic Data-Driven Simulation. IEEE Transactions on Industrial Informatics 15:9, pages 5042-5051.
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Itziar Landa-Torres, Diana Manjarres, Sonia Bilbao & Javier Del Ser. (2017) Underwater Robot Task Planning Using Multi-Objective Meta-Heuristics. Sensors 17:4, pages 762.
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Atif Shahzad & Nasser Mebarki. (2016) Learning Dispatching Rules for Scheduling: A Synergistic View Comprising Decision Trees, Tabu Search and Simulation. Computers 5:1, pages 3.
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Longfei Zhou & Lin Zhang. 2016. Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems 20 24 .
N. He, D.Z. Zhang & Q. Li. (2014) Agent-based hierarchical production planning and scheduling in make-to-order manufacturing system. International Journal of Production Economics 149, pages 117-130.
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Paolo Renna & Rocco Padalino. 2013. Industrial Engineering. Industrial Engineering 1517 1538 .
Atif Shahzad & Nasser Mebarki. (2012) Data mining based job dispatching using hybrid simulation-optimization approach for shop scheduling problem. Engineering Applications of Artificial Intelligence 25:6, pages 1173-1181.
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Paolo Renna & Rocco Padalino. 2012. Customer-Oriented Global Supply Chains. Customer-Oriented Global Supply Chains 35 58 .
Juergen Branke & Christoph W. Pickardt. (2011) Evolutionary search for difficult problem instances to support the design of job shop dispatching rules. European Journal of Operational Research 212:1, pages 22-32.
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T. Yoo, H.-B. Cho & E. Yücesan. 2010. Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management. Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management 341 365 .
Yeou-Ren Shiue. (2009) Development of two-level decision tree-based real-time scheduling system under product mix variety environment. Robotics and Computer-Integrated Manufacturing 25:4-5, pages 709-720.
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Oscar Ibáñez, Oscar Cordón, Sergio Damas & Luis Magdalena. 2009. Hybrid Artificial Intelligence Systems. Hybrid Artificial Intelligence Systems 360 367 .
Ahmed El-Bouri, Subramaniam Balakrishnan & Neil Popplewell. (2008) Cooperative dispatching for minimizing mean flowtime in a dynamic flowshop. International Journal of Production Economics 113:2, pages 819-833.
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David Zhengwen Zhang, Anthony Anosike & Ming Kim Lim. (2007) Dynamically Integrated Manufacturing Systems (DIMS)—A Multiagent Approach. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 37:5, pages 824-850.
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Hoi-Ming Chi, Okan K. Ersoy, Herbert Moskowitz & Jim Ward. (2007) Modeling and optimizing a vendor managed replenishment system using machine learning and genetic algorithms. European Journal of Operational Research 180:1, pages 174-193.
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Yeou-Ren Shiue & Ruey-Shiang Guh. (2006) Learning-based multi-pass adaptive scheduling for a dynamic manufacturing cell environment. Robotics and Computer-Integrated Manufacturing 22:3, pages 203-216.
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Christopher D. Geiger, Reha Uzsoy & Haldun Aytuğ. (2006) Rapid Modeling and Discovery of Priority Dispatching Rules: An Autonomous Learning Approach. Journal of Scheduling 9:1, pages 7-34.
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E.D. Talbi, L. Geneste, B. Grabot, R. Prévitali & Pascal Hostachy. (2004) Application of optimization techniques to parameter set-up in scheduling. Computers in Industry 55:2, pages 105-124.
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M.G. Abou-Ali & M.A. Shouman. (2004) Effect of dynamic and static dispatching strategies on dynamically planned and unplanned FMS. Journal of Materials Processing Technology 148:1, pages 132-138.
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Neil A. Duffie, Vittaldas V. Prabhu & Patrick O. Kaltjob. (2002) Closed-loop real-time cooperative decision-making dynamics in heterarchical manufacturing systems. Journal of Manufacturing Systems 21:6, pages 409-418.
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PAOLO PRIORE, DAVID DE LA FUENTE, ALBERTO GOMEZ & JAVIER PUENTE. (2011) DYNAMIC SCHEDULING OF MANUFACTURING SYSTEMS WITH MACHINE LEARNING. International Journal of Foundations of Computer Science 12:06, pages 751-762.
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Ioan Dumitrache. (2001) Hybrid Intelligent Techniques in Manufacturing Systems. IFAC Proceedings Volumes 34:8, pages 477-485.
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C. Dimopoulos & A.M.S. Zalzala. (2000) Recent developments in evolutionary computation for manufacturing optimization: problems, solutions, and comparisons. IEEE Transactions on Evolutionary Computation 4:2, pages 93-113.
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Fatima Ghedjati. (1999) Genetic algorithms for the job-shop scheduling problem with unrelated parallel constraints: Heuristic mixing method machines and precedence. Computers & Industrial Engineering 37:1-2, pages 39-42.
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P. Priore & D. de la Fuente. (1999) Learning-based scheduling in a job shopLernbegründete Planung in einem Job Shop. e & i Elektrotechnik und Informationstechnik 116:6, pages 370-375.
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Erzsébet Szelke & László Monostori. 1999. Modeling Manufacturing Systems. Modeling Manufacturing Systems 65 113 .
N. Jawahar, P. Aravindan, S. G. Ponnambalam & L. N. Raghavendra. (1998) Knowledge-based workcell attribute oriented dynamic schedulers for flexible manufacturing systems. The International Journal of Advanced Manufacturing Technology 14:7, pages 514-538.
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L. Monostori, E. Szelke & B. Kádár. (1998) Management of changes and disturbances in manufacturing systems. Annual Reviews in Control 22, pages 85-97.
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L. Monostori, E. Szelke & B. Kádár. (1997) Management of Changes and Disturbances in Manufacturing Systems. IFAC Proceedings Volumes 30:1, pages 27-38.
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Ching-En Lee & Chaw-Wen Chen. (1997) A dispatching scheme involving move control and weighted due date for wafer foundries. IEEE Transactions on Components, Packaging, and Manufacturing Technology: Part C 20:4, pages 268-277.
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F. Alexandre, C. Cardeira, F. Charpillet, Z. Mammeri & M.-C. Portmann. 1996. The Planning and Scheduling of Production Systems. The Planning and Scheduling of Production Systems 301 336 .
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