Abstract
Production processes are inseparably connected with numerous factors hindering their course. It is therefore essential to ensure that the process is carried out with no disruptions, which demands that these are identified and compensated for in advance. This paper presents intelligent job scheduling system under uncertainty. The first section gives a brief overview of job scheduling in manufacturing. The second section examines robust scheduling as a solution to production process disruptions. Furthermore, the idea of predictive/reactive scheduling is presented, highlighting the essence of predictive scheduling in a production process with two-factor uncertainty.
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References
Sobaszek, Ł., Gola, A.: Computer-aided production task scheduling. Appl. Comput. Sci. 11(4), 58–69 (2015)
Billaut, J.C.H., Moukrim, A., Sanlaville, E.: Flexibility and Robustness in Scheduling. ISTE Ltd., London (2008)
Mujanah Ezat, A.: Slimulation of Production Scheduling in Manufacturing Systems. Dublin City University, Dublin (1993)
Kalinowski, K.: Harmonogramowanie dyskretnych procesów produkcyjnych. Wydawnictwo Politechniki Śląskiej, Gliwice (2013)
Rudawska, A., Čuboňova, N., Pomarańska, K., Stanečková, D., Gola, A.: Technical and organizational improvements of packaging production processes. Adv. Sci. Technol. Res. J. 10(30), 182–192 (2016)
Kłosowski, G., Gola, A., Świć, A.: Application of fuzzy logic in assigning workers to production tasks. Adv. Intell. Syst. Comput. 474, 505–513 (2016)
Sitek, P., Wikarek, J.: A hybrid programming framework for modeling and solving constraint satisfaction and optimization problems. Sci. Programm. (2016). doi:10.1155/2016/5102616
Sobaszek, Ł., Świć, A., Gola, A.: Koncepcja zastosowania narzędzi predykcji w projektowaniu harmonogramów odpornych. Zarządzanie Przedsiębiorstwem 2, 20–26 (2016)
Deepu, P.: Robust Schedules and Disruption Management for Job Shops. Bozeman, Montana (2008)
Gao, H.: Bulding Robust Schedules using Temporal Protection—An Emipirical Study of Constraint Based Scheduling Under Machine Failure Uncertainty. Ontario, Toronto (1996)
Klimek, M.: Predyktywno-reaktywne harmonogramowanie produkcji z ograniczoną dostępnością zasobów. AGH, Kraków (2010)
Paprocka, I., Skołud, B.: Robust scheduling, a production scheduling model of failures. Mechatron. Comput. Mech. Appl. Mech. Mat. 307, 443–446 (2013)
Kalinowski, K., Grabowik, C., Kempa, W., Paprocka, I.: The role of the production scheduling system in rescheduling. In: Oanta, E., et al. (eds.) Modern Technologies In Industrial Engineering (MODTECH2015), vol. 95, pp. 1–6. IOP Publishing, Bristol (2015)
Sobaszek, Ł., Gola, A., Świć, A.: Analiza awaryjności parku maszynowego wybranego przedsiębiorstwa produkcyjnego z wykorzystaniem narzędzi predykcji. In: Knosala, R. (ed.) Innowacje w zarządzaniu i inżynierii produkcji, t. 2, pp. 638–650. Oficyna Wydawnicza Polskiego Towarzystwa Zarządzania Produkcją, Opole (2016)
Sugier, J., Anders, G.J.: Modelling and evaluation of deterioration process with maintenance activities. Eksploatacja i Niezawodnosc 15(4), 305–311 (2013)
Kosicka, E., Kozłowski, E., Mazurkiewicz, D.: The use of stationary tests for analysis of monitored residual processes. Eksploatacja i Niezawodnosc 17(4), 604–609 (2015)
Relich, M., Świć, A., Gola, A.: A knowledge-based approach to product concept screen. Adv. Intell. Syst. Comput. 373, 341–348 (2015)
Antosz, K., Stadnicka, D.: The results of the study concerning the identification of the activities realized in the management of the technical infrastructure in large enterprises. Eksploatacja i Niezawodnosc 16(1), 112–119 (2014)
Bräsel, H., Dornheim, L., Kutz, S., Mörig, M., Rössling, I.: LiSA – A Library of Scheduling Algorithms. Magdeburg University, Magdeburg (2001)
Brzeziński, M.: Sterowanie produkcją – materiały do ćwiczeń i projektowania. Wydawnictwo Politechniki Lubelskiej, Lublin (2001)
Portal RANDOM.ORG. http://www.random.org
Al-Hinai, N., ElMekkawy, T.Y.: Robust and stable flexible job shop scheduling with random machine breakdowns using a hybrid genetic algorithm. Int. J. Product. Econ. 132(2), 279–291 (2011)
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Sobaszek, Ł., Gola, A., Świć, A. (2018). Predictive Scheduling as a Part of Intelligent Job Scheduling System. In: Burduk, A., Mazurkiewicz, D. (eds) Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017. ISPEM 2017. Advances in Intelligent Systems and Computing, vol 637. Springer, Cham. https://doi.org/10.1007/978-3-319-64465-3_35
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DOI: https://doi.org/10.1007/978-3-319-64465-3_35
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