Abstract
Tactical supply chain planning in the chemical industry is a frequently recurring task, which typically involves not only automated planning procedures but also manual planning efforts. Competent application of optimization techniques in this context requires specialized skills and method-related knowledge. However, planners might have a background in overseeing production or comparable functions and personnel with expertise in optimization is scarce. Common simple heuristic planning approaches provided by ERP-systems do not even consider capacity constraints. This leads to considerable amounts of manual planning efforts. Still, for complex supply chains the resulting plans likely lack in quality. Available advanced heuristics can produce better plans but at the same time require expertise and maintenance efforts comparable to optimization based approaches. We introduce a concept of quality of supply network plans and investigate the potential for achieving balance between effort and plan quality by incorporating certain dimensions of quality in application friendly planning heuristics.
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
Dansereau, L.P., El-Halwagi, M., Mansoornejad, B., Stuart, M.: Framework for margins-based planning: forest biorefinery case study. Comput. Chem. Eng. 63, 34–50 (2014)
Goetschalckx, M.: Supply Chain Engineering. Springer, New York, Dordrecht, Heidelberg, London (2011)
Grunow, M., Guenther, H.-O., Lehmann, M.: Campaign planning for multi-stage batch processes in the chemical industry. OR Spectr. 24, 281–314 (2002)
Grunow, M., Guenther, H.-O., Yang, G.: Plant co-ordination in pharmaceutics supply networks. OR Spectr. 25, 109–141 (2003)
Hax, A.C., Meal, H.C. (1973). Hierarchical integration of production planning and scheduling. Massachusetts Institute of Technology (MIT). Sloan School of Management. http://ideas.repec.org/p/mit/sloanp/1868.html. Accessed 02 Aug 2016
Heckmann, I., Comes, T., Nickel, S.: A critical review on supply chain risk—definition, measure and modeling. Omega 52, 119–132 (2015)
Heuristikbasierte Planung. http://help.sap.com/
Meyr, H., Stadtler, H.: Types of Supply Chains. In: Kilger, C. (ed.) Supply Chain Management and Advanced Planning, 4th edn. Springer, Berlin (2008)
Schneeweiss, C.: Distributed Decision Making, 2nd edn. Springer, Berlin (2003)
Sel, C., Bilgen, B., Bloemhof-Ruwaard, J.M., van der Vorst, J.G.A.J.: Multi-bucket optimization for integrated planning and scheduling in the perishable dairy supply chain. Comput. Chem. Eng. 77, 59–73 (2015)
Stadtler, H., Fleischmann, B.: Hierarchical planning and the supply chain planning matrix. In: Stadtler, H., Fleischmann, B., Grunow, M., Meyr, H., Suerie, C. (eds.) Advanced Planning in Supply Chains, 1st edn. Springer, Berlin (2012)
Stadtler, H.: Master planning—supply network planning. In: Stadtler, H., Fleischmann, B., Grunow, M., Meyr, H., Suerie, C. (eds.) Advanced Planning in Supply Chains, 1st edn. Springer, Berlin (2012)
Vernbro, A., Heckmann, I., Nickel, S.: PrO-lean planning: detail and aggregation in tactical supply chain planning for the chemical industry. In: Talk at the 27th European Conference on Operational Research (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Vernbro, A., Heckmann, I., Nickel, S. (2018). Balancing Effort and Plan Quality: Tactical Supply Chain Planning in the Chemical Industry. In: Fink, A., Fügenschuh, A., Geiger, M. (eds) Operations Research Proceedings 2016. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-55702-1_83
Download citation
DOI: https://doi.org/10.1007/978-3-319-55702-1_83
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-55701-4
Online ISBN: 978-3-319-55702-1
eBook Packages: Business and ManagementBusiness and Management (R0)