How to cite this paper
Jana, T., Bairagi, B., Paul, S., Sahnawaj, S., Sarkar, B & Saha, J. (2014). Multi-objective scheduling in an agent based Holonic manufacturing system.Decision Science Letters , 3(1), 1-16.
Refrences
Alvarez, E & Diaz, F. (2007). Framework for the dynamic scheduling of complex job shops. International Journal of Manufacturing Technology and Management, 11 (3/4), 411-425.
Babiceanu, R.F & Chen, F.F. (2006). Development and applications of holonic manufacturing systems: a survey. Journal of Intelligent Manufacturing, 17, 111-131.
Badr, I. (2008). An agent-based scheduling framework for flexible manufacturing systems. World Academy of Science, Engineering and Technology, 40, 363-369.
Bashiri, M., Koosha, M., & Karimi, H. (2012). Permutation based decision making under fuzzy environment using Tabu search. International Journal of Industrial Engineering Computations, 3, 301–312.
Brussel, H.V., Wyns, J., Valckenaers, P., Bongaerts, L. & Peeters, P. (1998). Reference architecture for holonic manufacturing systems: PROSA. Computers in Industry, 37 (3), 255-276.
Brussel, H.V., Bongaerts, L., Wyns, J., Valckenaers, P. & Ginderachter, T.V. (1999). A conceptual framework for holonic manufacturing: Identification of manufacturing holons. Journal of Manufacturing Systems, 18 (1), 35-52.
Cao, Y., Yang, Y., Wang, H., & L. Yang, L. (2009). Intelligent job shop scheduling based on MAS and integrated routing wasp algorithm and scheduling wasp algorithm. Journal of Software, 4 (5), 487-494.
Christo, C. & Cardeira, C. (2007). Trends in intelligent manufacturing systems. International Symposium on Industrial Electronics, IEEE, Vigo, Spain, 3209- 3214.
Davis, R. & Smith, R. (1983). Negotiation as a metaphor for distributed problem solving. Artificial Intelligence, 20 (1), 63-109.
Duffle, N.A, & Prabhu, V.V. (1994). Real-time distributed scheduling of heterarchical manufacturing systems. Journal of Manufacturing Systems, 13 (2), 94-107.
Eguchi, T., Oba, F. & Toyooka, S. (2008). A robust scheduling rule using a neural network in dynamically changing job-shop environments. International Journal of Manufacturing Technology and Management, 14 (3-4), 266 – 288.
Giret, A and Botti, V. (2004). Holons and agents. Journal of Intelligent Manufacturing, 15, 645-659.
Glanzer, K., Hammerle, A. & Ralf Geurts, R. (2001). The Application of ZEUS agents in manufacturing environments. Proceedings of the 12th International Workshop of IEEE on Database and Expert Systems Applications, IEEE Computer Society, Munich, Germany, 628-632.
Gou, L., Luh, P.B. & Kyoya, Y. (1998). Holonic manufacturing scheduling: architecture, cooperation mechanism, and implementation. Computers in Industry, 37, 213-231.
Heragu, S.S., Graves, R.J., Kim, B. & Onge, A. (2002). Intelligent agent based framework for manufacturing systems control. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. 32 (5), 560-573.
Iwamura, K., Okubo, N., Tanimizu, Y. & Sugimura, N. (2006). Real-time scheduling for holonic manufacturing systems based on estimation of future status. International Journal of Production Research, 44 (18-19), 3657–3675.
Janic, M., & Reggiani, A. (2002). An Application of the Multiple Criteria Decision Making (MCDM) Analysis to the selection of a new hub airport. European Journal of Transport and Infrastructure Research, 2 (2) 113-142.
Kutanoglu, E. & Sabuncuoglu, I. (1999). An analysis of heuristics in a dynamic job shop with weighted tardiness objectives. International Journal of Production Research, 37 (1), 165-187.
Li, Q., Qu, D. & Du, L. (2008). Research on hybrid-genetic algorithm for MAS based job-shop dynamic scheduling. Proceedings of the IEEE International Conference on Service Operations and Logistics, and Informatics, IEEE, Beijing, China, 1742-1745.
Leitao, P., & Restivo, F. (2002). Holonic adaptive production control systems. Proceedings of the 28th IEEE Industrial Electronics Society Annual Conference, IEEE, Sevilla, Spain, 2968-2973.
Leitao, P. (2009). Agent-based distributed manufacturing control: A state-of-the-art survey. Engineering Applications of Artificial Intelligence, 22, 979-991.
Miyashita, K. (1998). CAMPS: A constraint-based architecture for multi-agent planning and scheduling. Journal of Intelligent Manufacturing, 9 (2), 147-154.
Papakostas, N., and Chryssolouris, G. (2009). A scheduling policy for improving tardiness performance. Asian International Journal of Science and Technology in Production and Manufacturing Engineering, 2 (3), 79-89.
Priore, P., Fuente, D., Puente, J. & Parreno, J. (2006). A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems. Engineering Applications of Artificial Intelligence, 19 (3), 247-255.
Rabelo, R.J., Camarinha-Matos, L.M. & Afsarmanesh, H. (1999). Multi-agent based agile scheduling. Robotics and Autonomous Systems, (27), 15-28.
Shen, W. (2002) Distributed manufacturing scheduling using intelligent agents. IEEE Intelligent Systems, 17 (1), 88-94.
Shen, W., Wang, L. & Hao, Q. (2006a). Agent-based distributed manufacturing process planning and scheduling: A State-of-the-Art Survey. IEEE Transactions on Systems, Man and Cybernetics – Part C: Applications and Reviews, 36 (4), 563-577.
Shen, W., Hao, Q., Yoon, H.J. & Norrie, D.H. (2006b). Applications of agent-based systems in intelligent manufacturing: An updated review. Advanced Engineering Informatics, (20), 415-431.
Shih, H. (2008). Incremental analysis for MCDM with an application to group TOPSIS. European Journal of Operational Research, 186, 720-734.
Smith, R.G. (1980). The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver. IEEE Transactions on Computer, C-29 (12), 1104-1113.
Sousa, P. & Ramos, C. (1999). A distributed architecture and negotiation protocol for scheduling in manufacturing systems. Computers in Industry, 38, 103-113.
Sudo, Y., Sakao, N. & Matsuda, M. (2010). An agent behavior technique in an autonomous decentralized manufacturing system. Journal of Advanced Mechanical Design, Systems and Manufacturing, 4 (3), 673-682.
Walker, S.S., Brennan, R.W. & Norrie, D.H. (2005). Holonic job shop scheduling using a multi agent system. IEEE Intelligent Systems, 20 (1), 50-57.
Wang, C., Ghenniwa, H. & Shen, W. (2008). Real time distributed shop floor scheduling using an agent-based service-oriented architecture. International Journal of Production Research, 46 (9), 2433-2452.
Wang, L., (2001). Integrated design-to-control approach for holonic manufacturing systems. Robotics and Computer Integrated Manufacturing, 17, 159-167.
Wang, T-C. & Chang T-H. (2007). Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment. Expert Systems with Applications, 33, 870–880.
Wang, Y.C. & Usher, J.M. (2005). Application of reinforcement learning for agent-based production scheduling. Engineering Applications of Artificial Intelligence, 18, 73-82.
Wong, T.N., Leung, C.W., Mak, K.L. & Fung, R.Y.K (2006). Dynamic shop floor scheduling in multi-agent manufacturing systems. Expert Systems with Applications, 31, 486–494.
Wooldrigde, M. & Jennings, N.R. (1995). Intelligent agents: theory and practice. The Knowledge Engineering Review, 10 (2), 115-152.
Yang, C & Lin, J.S. (1998). The development of a hybrid hierarchical/heterarchical shop floor control system applying bidding method in job dispatching. Robotics and Computer-Integrated Manufacturing, 14, 199-217.
Babiceanu, R.F & Chen, F.F. (2006). Development and applications of holonic manufacturing systems: a survey. Journal of Intelligent Manufacturing, 17, 111-131.
Badr, I. (2008). An agent-based scheduling framework for flexible manufacturing systems. World Academy of Science, Engineering and Technology, 40, 363-369.
Bashiri, M., Koosha, M., & Karimi, H. (2012). Permutation based decision making under fuzzy environment using Tabu search. International Journal of Industrial Engineering Computations, 3, 301–312.
Brussel, H.V., Wyns, J., Valckenaers, P., Bongaerts, L. & Peeters, P. (1998). Reference architecture for holonic manufacturing systems: PROSA. Computers in Industry, 37 (3), 255-276.
Brussel, H.V., Bongaerts, L., Wyns, J., Valckenaers, P. & Ginderachter, T.V. (1999). A conceptual framework for holonic manufacturing: Identification of manufacturing holons. Journal of Manufacturing Systems, 18 (1), 35-52.
Cao, Y., Yang, Y., Wang, H., & L. Yang, L. (2009). Intelligent job shop scheduling based on MAS and integrated routing wasp algorithm and scheduling wasp algorithm. Journal of Software, 4 (5), 487-494.
Christo, C. & Cardeira, C. (2007). Trends in intelligent manufacturing systems. International Symposium on Industrial Electronics, IEEE, Vigo, Spain, 3209- 3214.
Davis, R. & Smith, R. (1983). Negotiation as a metaphor for distributed problem solving. Artificial Intelligence, 20 (1), 63-109.
Duffle, N.A, & Prabhu, V.V. (1994). Real-time distributed scheduling of heterarchical manufacturing systems. Journal of Manufacturing Systems, 13 (2), 94-107.
Eguchi, T., Oba, F. & Toyooka, S. (2008). A robust scheduling rule using a neural network in dynamically changing job-shop environments. International Journal of Manufacturing Technology and Management, 14 (3-4), 266 – 288.
Giret, A and Botti, V. (2004). Holons and agents. Journal of Intelligent Manufacturing, 15, 645-659.
Glanzer, K., Hammerle, A. & Ralf Geurts, R. (2001). The Application of ZEUS agents in manufacturing environments. Proceedings of the 12th International Workshop of IEEE on Database and Expert Systems Applications, IEEE Computer Society, Munich, Germany, 628-632.
Gou, L., Luh, P.B. & Kyoya, Y. (1998). Holonic manufacturing scheduling: architecture, cooperation mechanism, and implementation. Computers in Industry, 37, 213-231.
Heragu, S.S., Graves, R.J., Kim, B. & Onge, A. (2002). Intelligent agent based framework for manufacturing systems control. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. 32 (5), 560-573.
Iwamura, K., Okubo, N., Tanimizu, Y. & Sugimura, N. (2006). Real-time scheduling for holonic manufacturing systems based on estimation of future status. International Journal of Production Research, 44 (18-19), 3657–3675.
Janic, M., & Reggiani, A. (2002). An Application of the Multiple Criteria Decision Making (MCDM) Analysis to the selection of a new hub airport. European Journal of Transport and Infrastructure Research, 2 (2) 113-142.
Kutanoglu, E. & Sabuncuoglu, I. (1999). An analysis of heuristics in a dynamic job shop with weighted tardiness objectives. International Journal of Production Research, 37 (1), 165-187.
Li, Q., Qu, D. & Du, L. (2008). Research on hybrid-genetic algorithm for MAS based job-shop dynamic scheduling. Proceedings of the IEEE International Conference on Service Operations and Logistics, and Informatics, IEEE, Beijing, China, 1742-1745.
Leitao, P., & Restivo, F. (2002). Holonic adaptive production control systems. Proceedings of the 28th IEEE Industrial Electronics Society Annual Conference, IEEE, Sevilla, Spain, 2968-2973.
Leitao, P. (2009). Agent-based distributed manufacturing control: A state-of-the-art survey. Engineering Applications of Artificial Intelligence, 22, 979-991.
Miyashita, K. (1998). CAMPS: A constraint-based architecture for multi-agent planning and scheduling. Journal of Intelligent Manufacturing, 9 (2), 147-154.
Papakostas, N., and Chryssolouris, G. (2009). A scheduling policy for improving tardiness performance. Asian International Journal of Science and Technology in Production and Manufacturing Engineering, 2 (3), 79-89.
Priore, P., Fuente, D., Puente, J. & Parreno, J. (2006). A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems. Engineering Applications of Artificial Intelligence, 19 (3), 247-255.
Rabelo, R.J., Camarinha-Matos, L.M. & Afsarmanesh, H. (1999). Multi-agent based agile scheduling. Robotics and Autonomous Systems, (27), 15-28.
Shen, W. (2002) Distributed manufacturing scheduling using intelligent agents. IEEE Intelligent Systems, 17 (1), 88-94.
Shen, W., Wang, L. & Hao, Q. (2006a). Agent-based distributed manufacturing process planning and scheduling: A State-of-the-Art Survey. IEEE Transactions on Systems, Man and Cybernetics – Part C: Applications and Reviews, 36 (4), 563-577.
Shen, W., Hao, Q., Yoon, H.J. & Norrie, D.H. (2006b). Applications of agent-based systems in intelligent manufacturing: An updated review. Advanced Engineering Informatics, (20), 415-431.
Shih, H. (2008). Incremental analysis for MCDM with an application to group TOPSIS. European Journal of Operational Research, 186, 720-734.
Smith, R.G. (1980). The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver. IEEE Transactions on Computer, C-29 (12), 1104-1113.
Sousa, P. & Ramos, C. (1999). A distributed architecture and negotiation protocol for scheduling in manufacturing systems. Computers in Industry, 38, 103-113.
Sudo, Y., Sakao, N. & Matsuda, M. (2010). An agent behavior technique in an autonomous decentralized manufacturing system. Journal of Advanced Mechanical Design, Systems and Manufacturing, 4 (3), 673-682.
Walker, S.S., Brennan, R.W. & Norrie, D.H. (2005). Holonic job shop scheduling using a multi agent system. IEEE Intelligent Systems, 20 (1), 50-57.
Wang, C., Ghenniwa, H. & Shen, W. (2008). Real time distributed shop floor scheduling using an agent-based service-oriented architecture. International Journal of Production Research, 46 (9), 2433-2452.
Wang, L., (2001). Integrated design-to-control approach for holonic manufacturing systems. Robotics and Computer Integrated Manufacturing, 17, 159-167.
Wang, T-C. & Chang T-H. (2007). Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment. Expert Systems with Applications, 33, 870–880.
Wang, Y.C. & Usher, J.M. (2005). Application of reinforcement learning for agent-based production scheduling. Engineering Applications of Artificial Intelligence, 18, 73-82.
Wong, T.N., Leung, C.W., Mak, K.L. & Fung, R.Y.K (2006). Dynamic shop floor scheduling in multi-agent manufacturing systems. Expert Systems with Applications, 31, 486–494.
Wooldrigde, M. & Jennings, N.R. (1995). Intelligent agents: theory and practice. The Knowledge Engineering Review, 10 (2), 115-152.
Yang, C & Lin, J.S. (1998). The development of a hybrid hierarchical/heterarchical shop floor control system applying bidding method in job dispatching. Robotics and Computer-Integrated Manufacturing, 14, 199-217.