Abstract
Today most manufacturing companies from machine building industry are operating in single unit or short-run production which is very complex in terms of decision making processes in production planning area. The difficulty in decision making in the area of scheduling is caused by the necessity of analysing multiple factors and evaluating various scheduling options due to numerous criteria. The article presents the author’s tool supporting decision making in the area of job-shop scheduling. The tool introduced in the article enables scheduling based on author’s priority rule allowing maximum usage of the most loaded resource (known as critical resource), which determines efficiency of the production system. The tool has been designed and verified as a part of PhD dissertation research.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Zhang, R., Song, S., Wu, C.: A hybrid artificial bee colony algorithm for the job shop scheduling problem. Int. J. Prod. Econ. 141, 167–178 (2013)
Lenstra, J.K., Kan, A.H.G.R., Brucker, P.: Complexity of machine scheduling problems. Ann. Discret. Math. 1, 343–362 (1997)
Deepu, P.: Robust Schedules and Disruption Management for Job Shop. Dissertation of Montana State University, Bozeman, Montana (2008)
Asadzadeh, L., Zamanifar, K.: An agent-based parallel approach for the job shop scheduling problem with genetic algorithms. Math. Comput. Model. 52, 1957–1965 (2010)
Hamrol, A.: Strategies and practices of efficient operation. LEAN SIX SIGMA and other. PWN, Warsaw (2015). (in Polish)
Knosala, R.: Computer Aided Business Management. Polish Economics Publishers, Warsaw (2007). (in Polish)
Zawadzki, P., Żywicki, K.: Smart product design and production control for effective mass customization in the Industry 4.0 concept. Manage. Prod. Eng. Rev. 7(3), 105–112 (2016)
Ulewicz, R., Jelonek, D., Mazur, M.: Implementation of logic flow in planning and production control. Manage. Prod. Eng. Rev. 7(1), 89–94 (2016). doi:10.1515/mper-2016-0010
Hadidi, L.A., Al-Turki, U.M., Rahim, A.: Integrated models in production planning and scheduling, maintenance and quality: a review. Int. J. Ind. Syst. Eng. 10(1), 21–50 (2012)
Geyik, F., Cedimoglu, I.H.: The Strategies and parameters of tabu search for job-shop scheduling. J. Intell. Manuf. 15, 439–448 (2004)
Chen, J.C., Wu, C.C., Chen, C.W., Chen, K.H.: Flexible job shop scheduling with parallel machines using genetic algorithm and grouping genetic algorithm. Expert Syst. Appl. 39, 10016–10021 (2012)
Surekha, P., Sumathi, S.: Solution to the job shop scheduling problem using hybrid genetic swarm optimization based on (λ,1)-interval fuzzy processing time. Eur. J. Sci. Res. 64(2), 168–188 (2011)
Arisha, A., Young, P., El Baradie, M.: Job shop scheduling problem: an overview. In: International Conference for Flexible Automation and Intelligent Manufacturing FAIM 01, Dublin, Ireland, pp. 682–693 (2001)
Calis, B., Bulkan, S.: A research survey: review of AI solution strategies of job shop scheduling problem. J. Intell. Manuf. 26(5), 961–973 (2013)
Lee, C.Y., Piramuthu, S., Tsai, Y.K.: Job shop scheduling with genetic algorithm and machine learning. Int. J. Prod. Res. 35(4), 1171–1191 (1998)
Pinson, E.: The job shop scheduling problem: concise survey and some recent developments. In: Chretienne, P., Coffman Jr., E.G., Lenstra, J.K., Lim, Z. (eds.) Scheduling Theory and its applications. Wiley, New York (1995)
Gere Jr., W.S.: Heuristics in Job-Shop Scheduling. Manage. Sci. 13, 167–190 (1966)
Giffler, B., Thompson, G.L.: Algorithms for solving production scheduling problems. Oper. Res. 8(4), 487–503 (1960)
Rowe, A.J., Jackson, J.R.: Research problems in production routing and scheduling. J. Ind. Eng. 7, 116–121 (1956)
Smith, W.E.: Various optimizers for single stage production. Naval Res. Log. Q. 3, 59–66 (1956)
Panwalker, S.S., Iskander, W.: A survey of scheduling rules. Oper. Res. 25(1), 45–61 (1977)
Wróblewski, K.J.: Basics of Flow Control Production. WNT, Warsaw (1993). (in Polish)
Banaszak, Z., Jampoliński, L.: Computer-Aided Modeling of Flexible Manufacturing Systems. WNT, Warszawa (1991). (in Polish)
Conway, W.R., Maxwell, L.W., Miller, L.W.: Theory of Scheduling. Addison-Wesley Publishing Company, London (1967)
Kuhpfahl, J.: Job Shop Scheduling with Consideration of Due Dates. Springer, New York (2015)
Ross, E.H.P., Corne, D.: Evalutionary scheduling: a review. Genet. Program. Evolvable Mach. 6, 191–220 (2005)
Senger, Z.: Production Flow Control. WPP, Poznań (1997). (in Polish)
Burgy, R.: A neighborhood for complex job shop scheduling problems with regular objective. Les Cahiers du GERAD (2016)
French, P.: Sequencing and Scheduling: An Introduction to the Mathematics of the Job Shop. Wiley, New York (1982)
Pawlak, M.: Evolutionary Algorithm as a Tool for Production Scheduling. PWN, Warszawa (1999). (in Polish)
Skołud B.: Operational Management. Production in Small and Medium-Sized Enterprises. WPŚ, Gliwice (2006). (in Polish)
Arrais-Castro, A., Varela, M., Putnik, G., Ribeiro, R., Dargam, F.: Collaborative negotiation platform using a dynamic multi-criteria decision model. Int. J. Decis. Support Syst. Technol. 7(1), 1–14 (2015). doi:10.4018/ijdsst.2015010101
Diering, M., Hamrol, A., Kujawińska, A.: Measurement system analysis Combined with Shewhart’s Approach. In: Key Engineering Materials, vol. 637, pp 7–11. ©Trans Tech Publications, Switzerland (2015). doi:10.4028/www.scientific.net/KEM.637.7
Kluczek, A.: Application of multi-criteria approach for sustainability assessment of manufacturing processes. Manage. Prod. Eng. Rev. 7(3), 62–78 (2016). doi:10.1515/mper-2016-0026
Kłos, S.: Implementation of the AHP method in ERP-based decision support systems for a new product development. In: Dregvaite, G., Damasevicius, R. (eds.) ICIST 2015. CCIS, vol. 538, pp. 199–207. Springer, Cham (2015). doi:10.1007/978-3-319-24770-0_18
Kłos, S., Patalas-Maliszewska, J.: Throughput analysis of automatic production lines based on simulation methods. In: Jackowski, K., Burduk, R., Walkowiak, K., Woźniak, M., Yin, H. (eds.) IDEAL 2015. LNCS, vol. 9375, pp. 181–190. Springer, Cham (2015). doi:10.1007/978-3-319-24834-9_22
Kolinski, A., Śliwczyński B.: IT support of production efficiency analysis in ecological aspect. In: Golinska P., Kawa A. (eds.) Technology Management for Sustainable Production and Logistics, pp. 205–219. Springer Verlag, Berlin (2015). doi:10.1007/978-3-642-33935-6_11
Kujawińska, A., Rogalewicz, M., Diering, M.: Application of expectation maximization method for purchase decision-making support in welding branch. Manage. Prod. Eng. Rev. 7(2), 29–33 (2016). doi:10.1515/mper-2016-0014
Kujawinska, A., Rogalewicz, M., Diering, M., Piłacińska, M., Hamrol, A., Kochański, A.: Assessment of ductile iron casting process with the use of the DRSA method. J. Min. Metall. B Metall. 52(1), 25–34 (2016). doi:10.2298/JMMB150806023K
Starzyńska, B., Hamrol, A.: Excellence toolbox: Decision support system for quality tools and techniques selection and application. Total Qual. Manage. Bus. Excell. 24(5–6), 577–595 (2013). doi:10.1080/14783363.2012.669557
Pandilov, Z., Milecki, A., Nowak, A., Górski, F., Grajewski, D., Ciglar, D., Mulc, T., Klaić, M.: Virtual modelling and simulation of a CNC machine feed drive system. Trans. FAMENA 39(4), 37–54 (2015)
Pinedo, M.: Scheduling: Theory, Algorithms, and Systems. Springer, New York (2012)
Andresen, M., Bräsel, H., Engelhardt, F., Werner, F.: LiSA-a Library of Scheduling Algorithms: Handbook for Version 3.0: Univ. Fak. für Mathematik (2010)
Pinedo, M.: Operations Scheduling with Applications in Manufacturing and Services. McGraw-Hill, New York (1998)
Conway, R.W.: An Experimental Investigation of Priority Assignment in a Job Shop. Rand Corporation Memorandum, RM-3789-PR, Santa Monica (1964)
LeGrande, E.: The development of a factory simulation using actual operating data. Manage. Technol. 3(1), 1–19 (1963)
Nelson, R.T.: Simulation of labor efficiency and centralized assignment in a production model. Manage. Sci. 17(2), 97–106 (1970)
Baker, K.R., Dan Trietsch, D.: Principles of Sequencing and Scheduling. Wiley, New Jersey (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Trojanowska, J., Varela, M.L.R., Machado, J. (2017). The Tool Supporting Decision Making Process in Area of Job-Shop Scheduling. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Costanzo, S. (eds) Recent Advances in Information Systems and Technologies. WorldCIST 2017. Advances in Intelligent Systems and Computing, vol 571. Springer, Cham. https://doi.org/10.1007/978-3-319-56541-5_50
Download citation
DOI: https://doi.org/10.1007/978-3-319-56541-5_50
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-56540-8
Online ISBN: 978-3-319-56541-5
eBook Packages: EngineeringEngineering (R0)