Abstract
The paper deals with the production downtime problem. Every production process may be affected by the risk of occurrence of the unplanned breaks. It can be caused by various factors, for example lack of components or machines failures. These result not only in the disturbance of production process flow, but also in the waste in the form of downtime. Machines failures can be caused by various factors, which may be difficult or even impossible to predict. Due to their random character, machine failure often results in operators idleness. The aim was to propose the solution of this problem. The proposed improvement was to develop the trainings schedule. These would take a part during the time of repairing the machine, so the waste would be reduced. The tool used to develop optimal training schedule was Tabu Search algorithm, a meta-heuristic method of supporting the decision-making process.
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
Musiał, K., Kotowska, J., Górnicka, D., Burduk, A.: Tabu search and greedy algorithm adaptation to logistic task. In: Saeed, K., Homenda, W., Chaki, R. (eds.) CISIM 2017. LNCS, vol. 10244, pp. 39–49. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59105-6_4
Hu, T., Chen, L.: Traffic signal optimization with greedy randomized tabu search algorithm. J. Transp. Eng. 1040(8) (2012)
Glover, F., Laguna, M.: Tabu Search. Kluwer Academic Publishers, Norwell (1997)
Zwolinska, B., Grzybowska, K., Kubica, L.: Shaping production change variability in relation to the utilized technology. In: DEStech Transactions on Engineering and Technology Re-search (ICPR 2017). Destech Publications, Inc. (2017)
Sobaszek, Ł., Gola, A., Kozłowski, E.: Application of survival function in robust scheduling of production jobs. In: Ganzha, M., Maciaszek, M., Paprzycki, M. (eds.) Proceedings of the Federated Conference on Computer Science and Information Systems (FEDCSIS), New York (2017)
Jeleń, Ł., Kulus, M., Jurek, T.: Pattern recognition framework for histological slide segmentation. In: Saeed, K., Homenda, W. (eds.) CISIM 2018. LNCS, vol. 11127, pp. 37–45. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-99954-8_4
Bożejko, W., Pempera, J., Wodecki, M.: Minimization of the number of employees in manufacturing cells. In: Graña, M., et al. (eds.) SOCO’18-CISIS’18-ICEUTE’18 2018. AISC, vol. 771, pp. 241–248. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-94120-2_23
Zufferey, N., Respen, J., Thevenin, S.: All-terrain tabu search approaches for production management problems. In: Amodeo, L., Talbi, E.-G., Yalaoui, F. (eds.) Recent Developments in Metaheuristics. ORSIS, vol. 62, pp. 59–73. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-58253-5_4
Delgoshaei, A., Mirzazadeh, A., Ali, A.: A hybrid ant colony system and tabu search algorithm for the production planning of dynamic cellular manufacturing systems while confronting uncertain costs. Braz. J. Oper. Prod. Manage. 15(4), 499–516 (2018)
Cordeau, J.F., Gendreau, M., Laporte, G.: A tabu search heuristic for periodic and multi-depot vehicle routing problems. Networks 30(2), 105–119 (1997)
Grabowski, J., Wodecki, M.: A very fast tabu search algorithm for the permutation flow shop problem with makespan criterion. Comput. Oper. Res. 31(11), 1891–1909 (2004)
Rojek, I., Dostatni, E., Hamrol, A.: Automation and digitization of the material selection process for ecodesign. In: Burduk, A., Chlebus, E., Nowakowski, T., Tubis, A. (eds.) ISPEM 2018. AISC, vol. 835, pp. 523–532. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-97490-3_50
Ociepka, P., Gwiazda, A.: Concept of hybrid system for computer aided of machines design process. Sel. Eng. Probl. (4) (2013)
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
Burduk, A., Musiał, K., Górnicka, D., Kochańska, J. (2019). Production Effectiveness Improvement with the Use of Tabu Search. In: Saeed, K., Chaki, R., Janev, V. (eds) Computer Information Systems and Industrial Management. CISIM 2019. Lecture Notes in Computer Science(), vol 11703. Springer, Cham. https://doi.org/10.1007/978-3-030-28957-7_24
Download citation
DOI: https://doi.org/10.1007/978-3-030-28957-7_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-28956-0
Online ISBN: 978-3-030-28957-7
eBook Packages: Computer ScienceComputer Science (R0)