Abstract
This paper studies a manufacturing remanufacturing system composed by two parallel machines, a serviceable inventory, a remanufacturing inventory and a customer which demands a constant quantity of part. Taking into account the return of the used part and the maintenance action, discrete flow model is used to model and to simulate the system. The goal of this work is to evaluate the optimal serviceable inventory level which allows minimizing the sum of inventory, lost sales costs and the corrective maintenance cost. Numerical results are presented to show the impact of the corrective maintenance cost on the optimal serviceable inventory level.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Hazelton, M.L.: Bayesian inference for network-based modes with a linear inverse structure. Transportation Research Part B 44, 674–685 (2010)
Vasic, J., Ruskin, H.J.: A discrete flow simulation model for urban road networks, with application to combined car and single-file bicycle traffic. In: Murgante, B., Gervasi, O., Iglesias, A., Taniar, D., Apduhan, B.O. (eds.) ICCSA 2011, Part I. LNCS, vol. 6782, pp. 602–614. Springer, Heidelberg (2011)
Yao, C., Cassandras, C.G.: Using infinitesimal perturbation analysis of stochastic flow models to recover performance sensitivity estimates of discrete event systems. Discrete Event Dynamic Systems 22, 197–219 (2012)
Turki, S., Bistorin, O., Rezg, N.: Optimization of stochastic fluid model using perturbation analysis: a manufacturing-remanufacturing system with stochastic demand and stochastic returned products. In: 11th IEEE International Conference on Networking, Sensing and Control (ICNSC 2014), Miami, FL, USA, April 7-9 (2014)
Shi, J., Zhang, G., Sha, J.: Optimal production planning for a multi-product closed loop system with uncertain demand and return. Computers and Operations Research 38(3), 641–650 (2011)
Zhou, L., Naim, M.M., Tang, O., Towill, D.R.: Dynamic Performance of a Hybrid Inventory System with a Kanban Policy in Remanufacturing Process. OMEGA 34(6), 585–598 (2006)
Turki, S., Bistorin, O., Rezg, N.: Infinitesimal Perturbation Analysis Based Optimization for a Manufacturing-Remanufacturing System. In: 18th IEEE Conference on Emerging Technologies and Factory Automation (ETFA 2013), Cagliari, Italy, September 10-13 (2013)
Wardi, Y., Giua, A., Seatzu, C.: IPA for continuous stochastic marked graphs. Automatica 49(5), 1204–1215 (2013)
Yao, C., Cassandras, C.G.: Using infinitesimal perturbation analysis of stochastic flow models to recover performance sensitivity estimates of discrete event systems. Discrete Event Dynamic Systems 22, 197–219 (2012)
Yu, H., Cassandras, C.G.: Perturbation analysis for production control and optimization of manufacturing systems. Automatica 40(6), 945–956 (2004)
Turki, S., Hennequin, S., Sauer, N.: Perturbation analysis-based optimisation for a failureprone manufacturing system with constant delivery time and stochastic demand. Int. J. Advanced Operations Management 4(1/2), 124–153 (2012)
Akella, R., Kummar, P.R.: Optimal control of production rate in failure prone manufacturing system. IEEE Transaction on Automatic Control 31(2), 116–126 (1986)
Rubio, S., Corominas, A.: Optimal Manufacturing - Remanufacturing Policies in a Lean Production Environment. Computers and Industrial Engineering 44, 345–361 (2008)
Turki, S., Hennequin, S., Sauer, N.: Perturbation analysis for continuous and discrete flow models: a study of the delivery time impact on the optimal buffer level. International Journal of Production Research 51(13), 4011–4044 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Turki, S., Hajej, Z., Rezg, N. (2015). Impact of the Corrective Maintenance Cost on Manufacturing Remanufacturing System Performance. In: Le Thi, H., Pham Dinh, T., Nguyen, N. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. Advances in Intelligent Systems and Computing, vol 360. Springer, Cham. https://doi.org/10.1007/978-3-319-18167-7_24
Download citation
DOI: https://doi.org/10.1007/978-3-319-18167-7_24
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18166-0
Online ISBN: 978-3-319-18167-7
eBook Packages: EngineeringEngineering (R0)