Abstract
Nowadays, companies have to react dynamically to changes in the demand of a products. Therefore, the production processes should be properly planned. The problem arises when there are several options, but it is not known which version to choose. By using the KbRS tool, sample schedules for a certain production processes were shown. In addition, the program is not only focused on the achieved maximum process times, but also on the module related to the costs. Thanks to this solution, the decision-maker obtains information not only about times, but also costs. Of course, there are also specific constraints, which make a set of solutions. At this point, depending on the situation examined, which decision making people determines, which solution to choose. It can be a time-related version or a cost-related version. This is important because, manufacturers receive a signal from the market that informs about the need of a personalized products. This needs are characteristic of the so-called fourth industrial revolution, in which customers are looking for a personalized products. But also this revolution is connected with the integration: machines, people and computer systems. And next the price of personalized products are close to the price obtained in mass production. Therefore, apart from integration and security, there is need to have tools that will help planning production processes in dynamic changing needs.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kalinowski, K., Balon, B.: Production scheduling with quantitative and qualitative selection of human resources. Adv. Intell. Syst. Comput. 747, 245–253 (2018). https://doi.org/10.1007/978-3-319-77700-9_25
Kujawińska, A., Diering, M., Żywicki, K., Rogalewicz, M., Hamrol, A., Hoffmann, P., Konstańczak, M.: Methodology supporting the planning of machining allowances in the wood industry. Adv. Intell. Syst. Comput. 649, 338–347 (2017). https://doi.org/10.1007/978-3-319-67180-2_33
Kalinowski, K., Krenczyk, D., Paprocka, I., Kempa, W., Grabowik, C.: Production scheduling with discrete and renewable additional resources. In: IOP Conference Series, Materials Science and Engineering, vol. 95, pp. 1–6 (2015). http://doi.org/10.1088/1757-899X/95/1/012132
Lisowski, B., Kozłowski, R.: Basic Issues of Production Management. Oficyna ekonomiczna, Kraków (2006). (in polish)
Kempa, W., Paprocka, I., Kalinowski, K., Grabowik, C.: Estimation of reliability characteristics in a production scheduling model with failures and time-changing parameters described by gamma and exponential distributions. Adv. Mater. Res. 837, 116–121 (2014). https://doi.org/10.4028/www.scientific.net/AMR.837.116
Krenczyk, D., Olender, M.: Using discrete-event simulation systems as support for production planning. Appl. Mech. Mater. 809(810), 1456–1461 (2015). https://doi.org/10.4028/www.scientific.net/AMM.809-810.1456
Bräsel, H., Dornheim, L., Kutz, S., Mörig, M., Rössling, I.: LiSA – A Library of Scheduling Algorithms. Otto-von-Guericke Universität Magdeburg, Magdeburg (2011)
Sobaszek, Ł., Gola, A., Świć, A.: Scheduling of production tasks taking into account of two-factor process uncertainty. In: Knosala, R. (ed.) Innovation in Management and Production Engineering, vol. 1, pp. 668–676. Oficyna Wydawnicza Polskiego Towarzystwa Zarządzania Produkcją, Opole (2017). (in polish)
Deepu, P.: Robust Schedules and Disruption Management for Job Shops. Bozeman, Montana (2008)
Xie, Z., Hao, S., Ye, G., Tan, G.: A new algorithm for complex product flexible scheduling with constraint between jobs. Comput. Ind. Eng. 57(3), 766–772 (2009). https://doi.org/10.1016/j.cie.2009.02.004
Pinedo, M.L.: Scheduling, Theory, Algorithms and Systems. Springer, New York (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Olender, M., Kalinowski, K., Grabowik, C. (2019). Practical Approach of Flexible Job Shop Scheduling Using Costs and Finishing Times of Operations. In: Burduk, A., Chlebus, E., Nowakowski, T., Tubis, A. (eds) Intelligent Systems in Production Engineering and Maintenance. ISPEM 2018. Advances in Intelligent Systems and Computing, vol 835. Springer, Cham. https://doi.org/10.1007/978-3-319-97490-3_38
Download citation
DOI: https://doi.org/10.1007/978-3-319-97490-3_38
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-97489-7
Online ISBN: 978-3-319-97490-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)