Abstract
We present logistic support architecture of real simulation training system for military troops preparing to conduct battle operations at a level up to a whole battalion. Due to the need of cost reduction of system maintenance, the system components were designed to be easily serviced with an integrated supply chain support. A framework of multi-period multi-level multi-item production planning models with open and closed loop supply chains is introduced in the paper. Open loop supply chain (OLSC) and closed loop supply chain (CLSC) support alternatively production planning (PP) processes. In CLSC, a PP process is supported by the products recovery processes made in a closed loop chain. A computational complexity involved in preparing production plans for a long planning horizon is important problem when solving these models, so the model optimised for quick solution finding is presented. Most elements of the presented models are common for the military and civil industry.
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
Amin, S.H., Zhang, G.: A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return. Appl. Math. Model. 37, 4165–4176 (2013)
Graves, S.C.: Manufacturing Planning and Control. Handbook of Applied Optimization, pp. 728–746. Oxford University Press, New York (2002)
Guide, V.D.R., Harrison, T.P., Van Wassenhove, L.N.: The challenge of closed loop supply chains. Interfaces 33(6), 3–6 (2003)
IBM Homepage: IBM ILOG CPLEX User’s manual for CPLEX (2016). https://www.ibm.com/support/knowledgecenter/SSSA5P_12.7.0/ilog.odms.studio.help/pdf/usrcplex.pdf
Krikke, H.R.R., Pappis, C.P., Tsoulfas, G.T., Bloemhof-Ruwaard, J.M.: Design principles for closed loop supply chains. Technical report ERS-2001-62-LIS ERIM (Erasmus Research Institute of Management) Report Series Reference (2001)
Pishvaee, M.S., Jolai, F., Razmi, J.: A stochastic optimization model for integrated forward/reverse logistics network design. J. Manuf. Syst. 28(4), 107–114 (2009)
Pishvaee, M.S., Rabbani, M., Torabi, S.A.: A robust optimization approach to closed-loop supply chain network design under uncertainty. Appl. Math. Model. 35, 637–649 (2011)
Shapiro, J.F.: Mathematical programming models and methods for production planning and scheduling. In: Handbooks in Operations Research and Management Science Logistics of Production and Inventory, vol 4, pp. 371–443. Elsevier Science Publishers, Amsterdam (1993)
Stecz, W.: Production optimization with closed loop supply chain support. Res. Logist. Prod. 6(2), 117–128 (2016)
Fathollahi-Farda, A.M., Hajiaghaei-Keshtelia, M., Mirjalili, S.: Hybrid optimizers to solvea tri-level programming model for a tire closed-loop supply chain network designproblem. Appl. Soft Comput. 70, 701–722 (2018)
Darestani, S.A., Hemmati, M.: Robust optimization of a bi-objective closed-loop supply chain network for perishable goods considering queue system. Comput. Ind. Eng. 136, 277–292 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Stecz, W., Nowicki, T. (2020). Optimisation Model of Military Simulation System Maintenance. In: Saeed, K., Dvorský, J. (eds) Computer Information Systems and Industrial Management. CISIM 2020. Lecture Notes in Computer Science(), vol 12133. Springer, Cham. https://doi.org/10.1007/978-3-030-47679-3_37
Download citation
DOI: https://doi.org/10.1007/978-3-030-47679-3_37
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-47678-6
Online ISBN: 978-3-030-47679-3
eBook Packages: Computer ScienceComputer Science (R0)