Abstract
This paper deals with the problems of scheduling of manufacturing where specific requirements have to be considered like production of microwire and specialized products based on it. Scheduling of such production systems is very nontrivial because of some technological, human, and organizational issues. To tackle the respective issues some predictive and reactive scheduling schemes must be developed. The paper discusses the possibility to develop schedules based on the method of reservation tables, which is a well known method in the computer pipelines. The proposed approach it seems to be an acceptable one. In our opinion, the method of reservation tables may be successfully adapted and developed to schedule nontrivial production systems, especially when multi-mixed model lines work in small batches. Combining with other methods, the proposed approach may offer feasible schedules in computation times short enough to be accepted in real-life decision support systems.
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References
Graves, S.: A Review of Productions Scheduling. Operations Research. 29, 646-676 (1981)
Sauer, J.: Knowledge-Based Systems Techniques and Applications in Scheduling. In: Leondes, T. (Ed.) Knowledge-based systems: Techniques and Applications. Academic Press, San Diego (2000)
Scholl, A., Boysen, N., Fliedner, M.: The Assembly Line Balancing and Scheduling Problem with Sequence-Dependent Setup Times. Operations Research Spectrum. 35(1), 291-320 (2013)
Uddin, M.., Lastra, J.: Assembly Line Balancing and Sequencing. In: Grzechca, W. (Ed.) Assembly Line – Theory and Practice. InTech (2011)
Grzechca, W.: Station Estimation in Assembly Line Balancing Problem. In: Grzech, A., Swiatek, P., Brzostowski, K. (eds) Applications of Systems Science. EXIT, Warsaw (2010)
Boysen, N., Fliedner, M., Scholl, A.: A Classification of Assembly Line Balancing Problems. Jenaer Schriften zur Wirtschaftswissenschaft 12/06, University of Jena (2006)
Boysen, N., Fliedner, M., Scholl, A.: Assembly Line Balancing: Which Model to Use when. Jenaer Schriften zur Wirtschaftswissenschaft 23/06, University of Jena (2006)
Kriengkorakot, N., Pianthong, N.: The Assembly Line Balancing Problem: Review articles. KKU Engineering Journal. 34(2), 134-140 (2007)
Chong, K., Omar, M., Bakar, N.: Solving Assembly Line Balancing Problem using Genetic Algorithm with Heuristics-Treated Initial Population. In: Proceedings of the World Congress on Engineering, London (2008)
Yokoyama, K., Morikawa, K., Takahashi, K.: A Modified Multi-Agent System for Simple Assembly Line Balancing. In: 8th International Conference of Modeling and Simulation: Evaluation and optimization of innovative production systems of goods and services, Hammanet, Tunisia (2010)
Hennessy, J., Patterson, D.: Computer Architecture: A Quantitative Approach. Morgan Kaufmann, San Francisco (2003)
Kogge, P.: The Architecture of Pipelined Computers. McGraw-Hill, New York (1981)
Stone, H.: High-Performance Computer Architecture. Addison-Wesley, New York (1993)
Zaporojan, S., Plotnic, C., Calmicov, I., Larin, V.: A knowledge-based approach for microwire casting plant control. In: Jozefczyk, J., and Orski, D. (Eds) Knowledge-Based Intelligent System Advancements: systemic and cybernetic approaches. Information Science Reference, Hershey New York (2011)
Acknowledgments
This paper was supported by the Microwire Industrial Technologies company (MFTI Ltd, Chisinau, Republic of Moldova), which works in the field of production and research of glass-coated microwires.
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Zaporojan, S., Moraru, V., Groza, A. (2015). An Approach to Schedule Production using the Reservation Tables. In: Selvaraj, H., Zydek, D., Chmaj, G. (eds) Progress in Systems Engineering. Advances in Intelligent Systems and Computing, vol 366. Springer, Cham. https://doi.org/10.1007/978-3-319-08422-0_87
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DOI: https://doi.org/10.1007/978-3-319-08422-0_87
Publisher Name: Springer, Cham
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