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Reliable flow in stochastic supply networks servicing pre- and after-sales markets

Published online by Cambridge University Press:  04 May 2017

Shabnam Rezapour ,
Janet K. Allen  and
Farrokh Mistree
Shabnam Rezapour
Affiliation:
Gallogly College of Engineering, School of Industrial & Systems Engineering, University of Oklahoma, Norman, Oklahoma, USA
Janet K. Allen*
Affiliation:
Gallogly College of Engineering, School of Industrial & Systems Engineering, University of Oklahoma, Norman, Oklahoma, USA
Farrokh Mistree
Affiliation:
Gallogly College of Engineering, School of Aerospace & Mechanical Engineering, University of Oklahoma, Norman, Oklahoma, USA
*
Reprint requests to: Janet K. Allen, Gallogly College of Engineering, School of Industrial & Systems Engineering, University of Oklahoma, 202 West Boyd Street, Norman, OK 73019-0631, USA. E-mail: [email protected]
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Abstract

In this paper we consider a company including both a forward supply chain producing and supplying products to markets and an after-sales supply chain providing spare parts to fulfill its after-sales commitments. Uncertainty in estimating product demand in the premarkets and spare parts demands in the after-sales markets and qualified outputs of production facilities throughout these two chains are considered in this problem. Stochastic qualified outputs of these facilities are due to their imperfect productions systems. We show that uncertainties propagate and qualified flow depreciates by moving material, components, and products from upstream to the downstream of these supply chains, and these phenomena should be quantified to determine the service levels of this company in the pre- and after-sales markets. At the end, we propose a mathematical model determining the best marketing strategies for this company (i.e., price, warranty length, and service levels) in the markets and their preserving reliable flow dynamics throughout the chains’ networks. Finally, the model is tested on a test problem defined in engine industry and some managerial insights are provided by analyzing the results.

Keywords

After-Sales Services; Reliability; Supply Network Planning; Uncertainty Propagation
Type
Special Issue Articles
Information
AI EDAM , Volume 31 , Special Issue 2: Uncertainty Quantification for Engineering Design , May 2017 , pp. 120 - 142
Copyright
Copyright © Cambridge University Press 2017 

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References

REFERENCES

Aberdeen Group. (2008). Integrating spare parts planning with logistics. Unpublished manuscript.Google Scholar
Amini, M.M., Retzlaff-Roberts, D., & Bienstock, C.C. (2005). Designing a reverse logistics operations for short life cycle repair services. International Journal of Production Economics 96, 367–380.Google Scholar
Atasu, A., Sarvary, M., & Van Wassenhove, L.N. (2008). Remanufacturing as a marketing strategy. Management Science 54(10), 1731–1746.Google Scholar
Bacchetti, A., & Saccani, N. (2012). Spare parts classification and demand forecasting for stock control: investigating the gap between research and practice. Omega 40(6), 722–737.Google Scholar
Baines, T., Lightfoot, H., Evans, S., Neely, A., Greenough, R., Peppard, J., et al. (2007). State-of-the-art in product-service systems. Journal of Engineering Manufacture 221(10), 1543–1552.Google Scholar
Barabadi, A., Barabady, J., & Markeset, T. (2014). Application of reliability models with covariates in spare part prediction and optimization—a case study. Reliability Engineering and System Safety 123, 1–7.Google Scholar
Bernstein, F., & Federgruen, A. (2004). A general equilibrium model for industries with price and service competition. Operations Research 52(6), 868–886.Google Scholar
Bernstein, F., & Federgruen, A. (2007). Coordination mechanisms for supply chains under price and service competition. Manufacturing & Service Operations Management 9(3), 242–262.Google Scholar
Bijvank, M., Koole, G., & Vis, I.F.A. (2010). Optimising a general repair kit problem with a service constraint. European Journal of Operational Research 204(1), 76–85.Google Scholar
Boone, C.A., Craighead, C.W., & Hanna, J.B. (2008). Critical challenges of inventory management in service parts supply: a Delphi study. Operation Management Research 1(1), 31–39.Google Scholar
Boylan, J.E., & Syntetos, A.A. (2010). Spare parts management: a review of forecasting research and extensions. IMA Journal of Management Mathematics 21(3), 227–237.Google Scholar
Bundschuh, R.G., & Dezvane, T.M. (2003). How to make after sale services pay off. McKinsey Quarterly 4(4), 116–127.Google Scholar
Chen, X., Li, L., & Zhou, M. (2012). Manufacturer's pricing strategy for supply chain with warranty period-dependent demand. Omega 40(6), 807–816.Google Scholar
Chien, Y.H., & Chen, J.A. (2008). Optimal spare ordering policy under a rebate warranty. European Journal of Operational Research 186(2), 708–719.CrossRefGoogle Scholar
Chu, J., & Chintagunta, D.K. (2009). Quantifying the economic value of warranties in the US server market. Marketing Science 28(1), 99–121.Google Scholar
Cohen, M.A., & Agrawal, N. (2006). Winning in the aftermarket. Harvard Business Review 84, 129–138.Google Scholar
Davies, A., Brady, T., & Hobday, M. (2006). Charting a path towards integrated solutions. MIT Sloan Management Review 47(3), 39–48.Google Scholar
Dolgui, A., & Pashkevich, M. (2008). Demand forecasting for multiple slow-moving items with short requests history and unequal demand variance. International Journal of Production Economics 112(2), 885–894.Google Scholar
Faridimehr, S., & Niaki, S.T.A. (2012). A note on optimal price, warranty length and production rate for free replacement policy in static demand markets. Omega 40(6), 805–806.Google Scholar
Ferrer, G., & Swaminathan, J.M. (2006). Managing new and remanufactured products. Management Science 52(1), 15–26.Google Scholar
Gaiardelli, P., Saccani, N., & Songini, L. (2007). Performance measurement of the after-sales service network—evidence from the automotive industry. Computers in Industry 58(7), 698–708.Google Scholar
Gupta, S., & Lehmann, D.R. (2007). Managing Customers as Investments: The Strategic Value of Customers in the Long Run. Upper Saddle River, NJ: Pearson Education.Google Scholar
Gutierrez, R.S., Solis, A.O., & Mukhopadhyay, S. (2008). Lumpy demand forecasting using neural networks. International Journal of Production Economics 111(2), 409–420.Google Scholar
Hartman, J.C., & Laksana, K. (2009). Designing and pricing menu of extended warranty contracts. Naval Research Logistics 56(3), 199–214.Google Scholar
Hasani, A., & Khosrojerdi, A. (2016). Robust global supply chain network design under disruption and uncertainty considering resilience strategies: a parallel memetic algorithm for a real-life case study. Transportation Research Part E: Logistics and Transportation Review 87, 20–52.Google Scholar
Hua, Z.S., Zhang, B., Yang, J., & Tan, D.S. (2007). A new approach of forecasting intermittent demand for spare parts inventories in the process industries. Journal of the Operational Research Society 58(1), 52–61.Google Scholar
Huang, H.Z., Liu, Z.J., & Murthy, D.N.P. (2007). Optimal reliability, warranty and price for new products. IIE Transactions 39(8), 819–827.Google Scholar
Hussain, A.Z.M.O., & Murthy, D.N.P. (2000). Warranty and optimal redundancy with uncertain quality. Mathematical and Computer Modeling 31(10–12), 175–182.Google Scholar
Hussain, A.Z.M.O., & Murthy, D.N.P. (2003). Warranty and optimal reliability improvement through product development. Mathematical and Computer Modeling 38(11–13), 1211–1217.Google Scholar
Jack, N., & Murthy, D.P. (2007). A flexible extended warranty and related optimal strategies. Journal of Operational Research Society 58(12), 1612–1620.Google Scholar
Johnson, M., & Mena, C. (2008). Supply chain management for servitised products: a multi-industry case study. International Journal of Production Economics 114(1), 27–39.Google Scholar
Kalchschmidt, M., Verganti, R., & Zotteri, G. (2006). Forecasting demand from heterogeneous customers. International Journal of Operations and Production Management 26(6), 619–638.CrossRefGoogle Scholar
Kameshwaran, S., Viswanadham, N., & Desai, V. (2009). Bundling and pricing of product with after-sales services. International Journal of Operational Research 6(1), 92–109.Google Scholar
Khajavi, S.H., Partanen, J., & Holmstron, J. (2013). Additive manufacturing in the spare parts supply chain. Computers in Industry 65(1), 50–63.Google Scholar
Kleber, R., Zanoni, S., & Zavanella, L. (2011). On how buyback and remanufacturing strategies affect the profitability of spare parts supply chains. International Journal of Production Economics 133(1), 135–142.CrossRefGoogle Scholar
Kosnik, T., Wong, M., Ji, D.J., & Hoover, K. (2006). Outsourcing vs insourcing in the human resource supply chain: A comparison of the five generic models. Personnel Review 35(6), 671–684.Google Scholar
Kurata, H., & Nam, S.H. (2010). After-sales service competition in a supply chain: optimization of customer satisfaction level or profit or both? International Journal of Production Economics 127(1), 136–146.Google Scholar
Kurata, H., & Nam, S.H. (2013). After-sales service competition in a supply chain: does uncertainty affect the conflict between profit maximization and customer satisfaction? International Journal of Production Economics 144(1), 268–280.Google Scholar
Lawless, J.F. (1998). Statistical analysis of product warranty data. International Statistical Review 66, 41–60.Google Scholar
Lee, H., & Rosenblatt, M. (1987). Simultaneous determination of production cycle and inspection schedules in a production system. Management Science 33(9), 1125–1136.Google Scholar
Lele, M. (1997). After-sales service—necessity evil or strategic opportunity? Managing Service Quality 7(3), 141–145.Google Scholar
Li, G., Huand, F.F., Cheng, T.C.E., Zheng, Q., & Ji, P. (2014). Make-or-buy service capacity decision in a supply chain providing after-sales service. European Journal of Operational Research 239, 377–388.Google Scholar
Lieckens, K.T., Colen, P.J., & Lambrecht, M.R. (2013). Optimization of a stochastic remanufacturing network with an exchange option. Decision Support Systems 54(4), 1548–1557.Google Scholar
Matis, T.I., Jayaraman, R., & Rangan, A. (2008). Optimal price and pro rata decisions for combined warranty policies with different repair options. IIE Transactions 40(10), 984–991.Google Scholar
Mitra, S., & Webster, S. (2008). Competition in remanufacturing and the effects of government subsidies. International Journal of Production Economics 111(2), 287–298.Google Scholar
Mohammaddust, F., Rezapour, S., Farahani, R.Z., Mofidfar, M., & Hill, A. (2017). Developing lean and responsive supply chains: a robust model for alternative risk mitigation strategies in supply chain designs. International Journal of Production Economics 183C, 632–653.Google Scholar
Murthy, D.N.P. (1990). Optimal reliability choice in product design. Engineering Optimization 15(4), 281–294.CrossRefGoogle Scholar
Ng, W.L. (2007). A simple classifier for multiple criteria ABC analysis. European Journal of Operational Research 177(1), 344–353.Google Scholar
Nguyen, D.G., & Murthy, D.N.P. (1984). A general model for estimating warranty costs for repairable products. IEE Transactions 16, 379–386.CrossRefGoogle Scholar
Nguyen, D.G., & Murthy, D.N.P. (1988). Optimal reliability allocation for products sold under warranty. Engineering Optimization 13, 35–45.Google Scholar
Nordin, F. (2005). Searching for the optimum product service distribution channel: examining the actions of five industrial firms. International Journal of Physical Distribution and Logistics Management 35(8), 576–594.Google Scholar
Oner, K.B., Kiesmuller, G.P., & van Houtum, G.J. (2010). Optimization of component reliability in the design phase of capital goods. European Journal of Operational Research 205(3), 615–624.Google Scholar
Park, M., Jung, K.M., & Park, D.H. (2013). Optimal post-warranty maintenance policy with repair time threshold for minimal repair. Reliability Engineering & System Safety 111, 147–153.Google Scholar
Penttinen, E., & Palmer, J. (2007). Improving firm positioning through enhanced offerings and buyer-seller relationships. Industrial Marketing Management 36(5), 552–564.Google Scholar
Ramanathan, R. (2006). ABC inventory classification with multiple-criteria using weighted linear optimization. Computer and Operations Research 33(3), 695–700.Google Scholar
Rao, B.M. (2011). A decision support model for warranty servicing of repairable items. Computers and Operations Research 38(1), 112–130.Google Scholar
Rappold, J., & Roo, B.D.V. (2009). Designing multi-echelon service parts networks with finite repair capacity. European Journal of Operational Research 199(3), 781–792.CrossRefGoogle Scholar
Rezapour, S., Allen, J.K., & Mistree, F. (2015). Uncertainty propagation in a supply chain or supply network. Transportation Research Part E 73, 185–206.Google Scholar
Rezapour, S., Allen, J.K., & Mistree, F. (2016a). Reliable product-service supply chains for repairable products. Transportation Research Part E: Logistics and Transportation Review 95, 299–321.CrossRefGoogle Scholar
Rezapour, S., Allen, J.K., & Mistree, F. (2016b). Reliable flow in forward and after-sales supply chains considering propagated uncertainty. Transportation Research Part E: Logistics and Transportation Review 93, 409–436.Google Scholar
Rezapour, S., & Farahani, R.Z. (2014). Supply chain network design under oligopolistic price and service level competition with foresight. Computers & Industrial Engineering 72, 129–142.Google Scholar
Rezapour, S., Farahani, R.Z., & Pourakbar, M. (in press). Resilient supply chain network design under competition: a case study. European Journal of Operational Research.Google Scholar
Rosenblatt, M., & Lee, H. (1986). Economic production cycles with imperfect production processes. IIE Transactions 18(1), 48–55.Google Scholar
Saccani, N., Johansson, P., & Perona, M. (2007). Configuring the after-sales service supply chain: a multiple case study. International Journal of Production Economics 110(1–2), 52–69.Google Scholar
Sahba, P., & Balcioglu, B. (2011). The impact of transportation delays on repairshop capacity pooling and spare part inventories. European journal of Operational Research 214(3), 674–682.Google Scholar
Sana, S.S. (2010). An economic production lot size model in an imperfect production system. European Journal of Operational Research 201(1), 158–170.Google Scholar
Shahanaghi, K., Noorossana, R., Jalali-Naini, S.G., & Heydari, M. (2013). Failure modeling and optimizing preventive maintenance strategy during two-dimensional extended warranty contracts. Engineering Failure Analysis 28, 90–102.Google Scholar
Sleptchenko, A., van der Heijden, M.C., & van Harten, A. (2002). Effects of finite repair capacity in multi-echelon, multi-indenture service part supply systems. International Journal of Production Economics 79(3), 209–230.Google Scholar
Su, C., & Shen, J. (2012). Analysis of extended warranty policies with different repair options. Engineering Failure Analysis 25, 49–62.Google Scholar
Syntetos, A.A., Boylan, J.E., & Croston, J.D. (2005). On the categorization of demand patterns. Journal of the Operational Research Society 56(5), 495–503.Google Scholar
Thonemann, U.W., Brown, A.O., & Hausman, W.H. (2002). Easy quantification of improved spare parts inventory policies. Management Science 48(9), 1213–1225.Google Scholar
Tsoukalas, M.Z., & Agrafiotis, G.K. (2013). A new replacement warranty policy indexed by the product's correlated failure and usage time. Computers & Industrial Engineering 66(2), 203–211.Google Scholar
Vahdani, H., Mahlooji, H., & Jahromi, A.E. (2013). Warranty servicing for discretely degrading items with non-zero repair time under renewing warranty. Computers & Industrial Engineering 65(1), 176–185.Google Scholar
Vandermerwe, S., & Rada, J. (1988). Servitization of business: adding value by adding services. European Management Journal 6(4), 314–324.Google Scholar
van Jaarsveld, W., & Dekker, R. (2011). Spare parts stock control for redundant systems using reliability centered maintenance data. Reliability Engineering and System Safety 96(11), 1576–1586.Google Scholar
van Ommeren, J.C.W., Bumb, A.F., & Sleptchenko, A.V. (2006). Locating repair shops in a stochastic environment. Computers and Operations Research 33(6), 1575–1594.CrossRefGoogle Scholar
Wagner, S.M., & Liedermann, E. (2008). A case study-based analysis of spare parts management in the engineering industry. Production Planning and Control 19(4), 397–407.CrossRefGoogle Scholar
Wang, L., Chu, J., & Mao, W. (2009). A condition-based replacement and spare provisioning policy for deteriorating systems with uncertain deterioration to failure. European Journal of Operational Research 194(1), 184–205.Google Scholar
Wang, W. (2012). A stochastic model for joint spare parts inventory and planned maintenance optimization. European Journal of Operational Research 216(1), 127–139.Google Scholar
Wu, C.C., Chou, C.Y., & Huang, C. (2009). Optimal price, warranty length and production rate for free replacement policy in the static demand market. Omega 37(1), 29–39.Google Scholar
Wu, C.H. (2012). Price and service competition between new and remanufactured products in a two-echelon supply chain. International Journal of Production Economics 140, 496–507.Google Scholar
Zhou, P., & Fan, L. (2006). A note on multi-criteria ABC inventory classification using weighted linear optimization. European Journal of Operational Research 182(3), 1488–1491.Google Scholar
Zhou, Z., Li, Y., & Tang, K. (2009). Dynamic pricing and warranty policies for products with fixed lifetime. European Journal of Operational Research 196(3), 940–948.Google Scholar