Abstract
In literature on the investigation of cause-effect relationships within production planning and control (PPC), many models and approaches can be found. These range from the didactic description of cause-effect relationships to generally applicable models for describing the effects and impacts of a procedure selection or parameterisation for a PPC task to be fulfilled, right up to explorative simulation studies. Thus, research in the field of production planning and control can be roughly divided into the research areas of conceptual, analytical, empirical and simulation-based investigations.
While each of these approaches makes valuable contributions to prevailing theory, the purpose of this paper is to discuss an application-motivated approach making the complex network of interrelations within PPC easier to penetrate. Because, in particular from the point of view of the practical user, it is of crucial importance to gain a holistic perspective on the relationships and interdependencies within PPC in order to be able to configure it - as well as the entire production system - in the best possible way and in line with the company’s objectives. Thus this contribution can be assigned as a conceptual investigation.
Funded by Deutsche Forschungsgemeinschaft (DFG) - 434659386.
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
Similar content being viewed by others
References
Bank, L., et al.: PPS-Report 2021: Studienergebnisse. https://doi.org/10.24406/igcv-n-644067
Berthoz, A.: Simplexity: Simplifying Principles for a Complex World. An editions Odile Jacob book, Yale University Press, New Haven, CT, online-ausg edn. (2012). https://doi.org/10.12987/9780300177923
Herrmann, J.P., Tackenberg, S., Padoano, E., Gamber, T.: Approaches of production planning and control under industry 4.0: a literature review. J. Ind. Eng. Manag. 15(1), 4–30 (2022). https://doi.org/10.3926/jiem.3582, http://dx.doi.org/10.3926/jiem.3582
INFORM: Trendreport–der maschinen- und anlagenbau 2020: Eine zukunftssichere branche in deutschland? eine umfrage von: Inform institut für operations research und management gmbh juni 2020 (2020). https://www.inform-software.de/produkte/felios/trendreport-maschinenbau
Ljung, L.: Black-box models from input-output measurements. In: IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics (Cat. No.01CH 37188), pp. 138–146 (2001). https://doi.org/10.1109/IMTC.2001.928802
Lödding, H.: Handbook of Manufacturing Control: Fundamentals, Description, Configuration. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-24458-2
Loyola-Gonzalez, O.: Black-box vs. white-box: understanding their advantages and weaknesses from a practical point of view. IEEE Access 7, 154096–154113 (2019). https://doi.org/10.1109/ACCESS.2019.2949286
Lucht, T., Drewal, F., Nyhuis, P.: Approaching automation of production planning and control: a theoretical framework. J. Prod. Syst. Logist. 1(6) (2021). https://doi.org/10.15488/11127
Missbauer, H., Uzsoy, R.: Production Planning with Capacitated Resources and Congestion. Springer, New York, NY (2020). https://doi.org/10.1007/978-1-0716-0354-3
Mütze, A., Hillnhagen, S., Schäfers, P., Schmidt, M., Nyhuis, P.: Why a systematic investigation of production planning and control procedures is needed for the target-oriented configuration of PPC. In: 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 103–107 (2020). https://doi.org/10.1109/IEEM45057.2020.9309885
Mütze, A., Lebbing, S., Hillnhagen, S., Schmidt, M., Nyhuis, P.: Modeling interactions and dependencies in production planning and control: an approach for a systematic description. In: von Leipzig, K., Sacks, N., Mc Clelland, M. (eds.) Smart, Sustainable Manufacturing in an Ever-Changing World. Proceedings of the 8th International Conference on Competitive Manufacturing (COMA 2022) (2022)
Mütze, A., Lucht, T., Nyhuis, P.: Logistics-oriented production configuration using the example of MRO service providers. IEEE Access 10, 20328–20344 (2022). https://doi.org/10.1109/ACCESS.2022.3146420
Olhager, J.: Evolution of operations planning and control: from production to supply chains. Int. J. Prod. Res. 51(23–24), 6836–6843 (2013). https://doi.org/10.1080/00207543.2012.761363
Orlicky, J.: Material Requirements Planning: The New Way of Life in Production and Inventory Management. McGraw-Hill, New York (1975)
Panzer, M., Bender, B., Gronau, N.: Deep reinforcement learning in production planning and control: a systematic literature review. https://doi.org/10.15488/11238
Schmidt, M., Maier, J.T., Härtel, L.: Data based root cause analysis for improving logistic key performance indicators of a company’s internal supply chain. Procedia CIRP 86, 276–281 (2019). https://doi.org/10.1016/j.procir.2020.01.023
Schmidt, M., Nyhuis, P.: Produktionsplanung und -steuerung im Hannoveraner Lieferkettenmodell. Springer, Berlin, Heidelberg (2021). https://doi.org/10.1007/978-3-662-63897-2
Schuh, G., Stich, V.: Produktionsplanung und -steuerung 1: Grundlagen der PPS. SpringerLink Bücher, Springer, Berlin, Heidelberg, 4. aufl. 2012 edn. (2012). https://doi.org/10.1007/978-3-642-25423-9
Seitz, M., et al.: PPS-Report 2017/18: Studienergebnisse, Berichte aus dem IFA, vol. 2018. TEWISS, Garbsen (2018)
Wight, O.W.: Manufacturing Resource Planning, MRP II: Unlocking America’s Productivity Potential. Wiley, New York (1984). rev. ed. edn
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 IFIP International Federation for Information Processing
About this paper
Cite this paper
Mütze, A., Hillnhagen, S., Schmidt, M., Nyhuis, P. (2022). Modelling Interdependencies Within Production Planning and Control: An Application-Motivated Approach. In: Kim, D.Y., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. APMS 2022. IFIP Advances in Information and Communication Technology, vol 663. Springer, Cham. https://doi.org/10.1007/978-3-031-16407-1_61
Download citation
DOI: https://doi.org/10.1007/978-3-031-16407-1_61
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-16406-4
Online ISBN: 978-3-031-16407-1
eBook Packages: Computer ScienceComputer Science (R0)
