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A review of operational spare parts service logistics in service control towers. (English) Zbl 1430.90143
Summary: In this paper, we provide an overview of operational spare parts planning in service control towers. We conduct company surveys to identify the issues, the challenges, and the needs in practice. We propose a classification framework to reveal the key aspects of operational planning decisions, and to provide an overview of the scientific literature. We identify promising research directions. These include incorporating service level agreements in operational decision making, managing exception messages, integrating tactical and operational plans, using advance supply and demand information for operational interventions, and developing a unified and holistic approach for selecting interventions in large scale systems.

MSC:
90B06 Transportation, logistics and supply chain management
90-02 Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming
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[1] Abell, J. B.; Miller, L. W.; Neumann, C. E.; Payne, J. E., DRIVE (Distribution and repair in variable environments): Enhancing the responsiveness of depot repair (1992), The RAND Corporation, R-3888-AF
[2] Abouee-Mehrizi, H.; Baron, O.; Berman, O., Exact analysis of capacitated two-echelon inventory systems with priorities, Manufacturing and Service Operations Management, 16, 4, 561-577 (2014)
[3] Accenture. (2015). Supply chain control towers in the high-tech industry. Retrieved December 8, 2017, from https://www.accenture.com/nl-en/insight-new-supply-chain-control-tower.
[4] Alfieri, A.; Pastore, E.; Zotteri, G., Dynamic inventory rationing: How to allocate stock according to managerial priorities. An empirical study, International Journal of Production Economics, 189, 14-29 (2017)
[5] (Altay, N.; Litteral, L. A., Service parts management - demand forecasting and inventory (2011), Springer: Springer London: UK), Retrieved from //www.springer.com/gp/book/9780857290380
[6] Arts, J.; Basten, R.; van Houtum, G. J., Repairable stocking and expediting in a fluctuating demand environment: Optimal policy and heuristics, Operations Research, 64, 6, 1285-1301 (2016) · Zbl 1354.90163
[7] Axsäter, S., A new decision rule for lateral transshipments in inventory systems, Management Science, 49, 9, 1168-1179 (2003) · Zbl 1232.90013
[8] Bacchetti, A.; Saccani, N., Spare parts classification and demand forecasting for stock control: Investigating the gap between research and practice, Omega, 40, 6, 722-737 (2012)
[9] Basten, R. J.I.; van Houtum, G. J., System-oriented inventory models for spare parts, Surveys in Operations Research and Management Science, 19, 1, 34-55 (2014)
[10] Bausmann, J.; Schmidt, T.; Bauer, A., Proactive event management in the supply chain of aircraft spare parts, (Ijioui, R.; Emmerich, H.; Ceyp, M., Strategies and tactics in supply chain event management (2008), Springer: Springer Germany), 65-82
[11] Bhosle, G.; Kumar, P.; Griffin-Cryan, B.; van Doesburg, R.; Sparks, M.; Paton, A., Global supply chain control towers: Achieving end-to-end supply chain visibility (2011), Capgemini Consulting White Paper
[12] Braader, A.; Montanus, S., Transparency in global supply chain networks– methods and tools for integrated supply chain event management, (Ijioui, R.; Emmerich, H.; Ceyp, M., Strategies and tactics in supply chain event management (2008), Springer: Springer Germany), 3-11
[13] Büyükkurt, M. D.; Parlar, M., A comparison of allocation policies in a two-echelon repairable-item inventory model, International Journal of Production Economics, 29, 3, 291-302 (1993)
[14] Caggiano, K. E.; Muckstadt, J. A.; Rappold, J. A., Integrated real-time capacity and inventory allocation for reparable service parts in a two-echelon supply system, Manufacturing and Service Operations Management, 8, 3, 292-319 (2006)
[15] Cavalieri, S.; Garetti, M.; Macchi, M.; Pinto, R., A decision-making framework for managing maintenance spare parts, Production Planning and Control, 19, 4, 379-396 (2008)
[16] Chew, E. P.; Lee, L. H.; Liu, S., Dynamic rationing and ordering policies for multiple demand classes, OR Spectrum, 35, 1, 127-151 (2013) · Zbl 1260.90011
[17] Chua, R. C.H.; Scudder, G. D.; Hill, A. V., Batching policies for a repair shop with limited spares and finite capacity, European Journal of Operational Research, 66, 1, 135-147 (1993) · Zbl 0775.90179
[18] Cohen, M. A.; Zheng, Y.-S.; Agrawal, V., Service parts logistics: A benchmark analysis, IIE Transactions, 29, 627-639 (1997)
[19] Çömez, N.; Stecke, K. E.; Çakanyıldırım, M., In-season transshipments among competitive retailers, Manufacturing and Service Operations Management, 14, 2, 290-300 (2012)
[20] Deshpande, V.; Iyer, A. V.; Cho, R., Efficient supply chain management at the U.S. Coast Guard using part-age dependent supply replenishment policies, Operations Research, 54, 6, 1028-1040 (2006) · Zbl 1167.90573
[21] Driessen, M.; Arts, J.; van Houtum, G. J.; Rustenburg, J. W.; Huisman, B., Maintenance spare parts planning and control: A framework for control and agenda for future research, Production Planning and Control, 26, 5, 407-426 (2015)
[22] Eaves, A. H.C.; Kingsman, B. G., Forecasting for the ordering and stock-holding of spare parts, The Journal of the Operational Research Society, 55, 4, 431-437 (2004) · Zbl 1095.90505
[23] Elwany, A. H.; Gebraeel, N. Z., Sensor-driven prognostic models for equipment replacement and spare parts inventory, IISE Transactions, 40, 629-639 (2008)
[24] Eruguz, A. S.; Tan, T.; van Houtum, G. J., A survey of maintenance and service logistics management: Classification and research agenda from a maritime sector perspective, Computers and Operations Research, 85, 184-205 (2017) · Zbl 1458.90215
[25] Evans, R. V., Sales and restocking policies in a single item inventory system, Management Science (Pre-1986); Linthicum, 14, 7, 463 (1968)
[26] Evers, P. T., Heuristics for assessing emergency transshipments, European Journal of Operational Research, 129, 2, 311-316 (2001) · Zbl 0980.90004
[27] Fadıloğlu, M. M.; Bulut, Ö., A dynamic rationing policy for continuous-review inventory systems, European Journal of Operational Research, 202, 3, 675-685 (2010) · Zbl 1176.90019
[28] Fisher, W. W., An improved simulation model for cannibalization policy performance comparisons in a complex maintenance system, Simulation, 52, 4, 154-164 (1989)
[29] Fisher, W. W.; Brennan, J. J., The performance of cannibalization policies in a maintenance system with spares, repair, and resource constraints, Naval Research Logistics Quarterly, 33, 1, 1-15 (1986)
[30] Fleischmann, M.; van Nunen, J. A.E. E.; Gräve, B., Integrating closed-loop supply chains and spare-parts management at IBM, Interfaces, 33, 6, 44-56 (2003)
[31] Frazzon, E. M.; Israel, E.; Albrecht, A.; Pereira, C. E.; Hellingrath, B., Spare parts supply chains’ operational planning using technical condition information from intelligent maintenance systems, Annual Reviews in Control, 38, 1, 147-154 (2014)
[32] Gaukler, G. M.; Özer, Ö.; Hausman, W. H., Order progress information: Improved dynamic emergency ordering policies, Production and Operations Management, 17, 6, 599-613 (2008)
[33] Glazebrook, K.; Paterson, C.; Rauscher, S.; Archibald, T., Benefits of hybrid lateral transshipments in multi-item inventory systems under periodic replenishment, Production and Operations Management, 24, 2, 311-324 (2015)
[34] Grahovac, J.; Chakravarty, A., Sharing and lateral transshipment of inventory in a supply chain with expensive low-demand items, Management Science, 47, 4, 579-594 (2001) · Zbl 1232.90054
[35] Guide, V. D.R.; Srivastava, R., Repairable inventory theory: Models and applications, European Journal of Operational Research, 102, 1, 1-20 (1997) · Zbl 0948.90037
[36] Hausman, W. H.; Scudder, G. D., Priority scheduling rules for repairable inventory systems, Management Science, 28, 11, 1215-1232 (1982)
[37] Hill, A. V., An experimental comparison of dispatching rules for field service support, Decision Sciences; Atlanta, 23, 1, 235 (1992)
[38] Hillestad, R. J., Dyna-METRIC: Dynamic multi-echelon technique for recoverable item control (1982), The RAND Corporation, R-2785-AF
[39] Ho, W.; Zheng, T.; Yıldız, H.; Talluri, S., Supply chain risk management: A literature review, International Journal of Production Research, 53, 16 (2015)
[40] Hoadley, B.; Heyman, D. P., A two-echelon inventory model with purchases, dispositions, shipments, returns and transshipments, Naval Research Logistics Quarterly, 24, 1, 1-19 (1977) · Zbl 0372.90048
[41] Howard, C.; Marklund, J.; Tan, T.; Reijnen, I., Inventory control in a spare parts distribution system with emergency stocks and pipeline information, Manufacturing and Service Operations Management, 17, 2, 142-156 (2015)
[42] Hu, Q.; Boylan, J. E.; Chen, H.; Labib, A., OR in spare parts management: A review, European Journal of Operational Research, 266, 2, 395-414 (2018) · Zbl 1403.90028
[43] Huiskonen, J., Maintenance spare parts logistics: Special characteristics and strategic choices, International Journal of Production Economics, 71, 125-133 (2001)
[44] Hung, H.-C.; Chew, E. P.; Lee, L. H.; Liu, S., Dynamic inventory rationing for systems with multiple demand classes and general demand processes, International Journal of Production Economics, 139, 1, 351-358 (2012)
[45] Hung, Y-F.; Hsiao, J-Y., Inventory rationing decision models during replenishment lead time, International Journal of Production Economics, 144, 1, 290-300 (2013)
[46] Ijioui, R.; Emmerich, H.; Ceyp, M., Strategies and tactics in supply chain event management (2008), Springer: Springer Germany
[47] Janakiraman, G.; Seshadri, S.; Sheopuri, A., Analysis of tailored base-surge policies in dual sourcing inventory systems, Management Science, 61, 7, 1547-1561 (2014)
[48] Johansen, S. G.; Thorstenson, A., Emergency orders in the periodic-review inventory system with fixed ordering costs and compound Poisson demand, International Journal of Production Economics, 157, 147-157 (2014)
[49] Johnson, M. E.; Scudder, G., Supporting quick response through scheduling of make-to-stock production/inventory systems, Decision Sciences, 30, 2, 441-467 (1999)
[50] Kaplan, A., Stock rationing, Management Science, 15, 5, 260-267 (1969) · Zbl 1231.90039
[51] Kennedy, W. J.; Wayne Patterson, J.; Fredendall, L. D., An overview of recent literature on spare parts inventories, International Journal of Production Economics, 76, 2, 201-215 (2002)
[52] Kim, S. H.; Cohen, M. A.; Netessine, S., Performance contracting in after-sales service supply chains, Management Science, 53, 12, 1843-1858 (2007) · Zbl 1232.90117
[53] Kouvelis, P.; Tang, S. Y., On optimal expediting policy for supply systems with uncertain lead-times, Production and Operations Management, 21, 2, 309-330 (2012)
[54] Kukreja, A.; Schmidt, C. P., A model for lumpy demand parts in a multi-location inventory system with transshipments, Computers and Operations Research, 32, 8, 2059-2075 (2005) · Zbl 1068.90009
[55] Lee, Y. H.; Jung, J. W.; Jeon, Y. S., An effective lateral transshipment policy to improve service level in the supply chain, International Journal of Production Economics, 106, 1, 115-126 (2007)
[56] Li, R.; Ryan, J. K., A Bayesian inventory model using real-time condition monitoring information, Production and Operations Management, 20, 5, 754-771 (2011)
[57] Liang, W. K.; Balcioglu, B.; Svaluto, R., Scheduling policies for a repair shop problem, Annals of Operations Research, 211, 1, 273-288 (2013) · Zbl 1286.90032
[58] Lin, X.; Basten, R. J.I.; Kranenburg, A. A.; van Houtum, G. J., Condition based spare parts supply, Reliability Engineering and System Safety, 168, 240-248 (2017)
[59] Louit, D.; Pascual, R.; Banjevic, D.; Jardine, A. K.S., Condition based spares ordering for critical components, Mechanical Systems and Signal Processing, 25, 1837-1848 (2011)
[60] Miller, B. L., Dispatching from depot repair in a recoverable item inventory system: On the optimality of a heuristic rule, Management Science, 21, 3, 316-325 (1974) · Zbl 0311.90025
[61] Minner, S.; Silver, E. A.; Robb, D. J., An improved heuristic for deciding on emergency transshipments, European Journal of Operational Research, 148, 2, 384-400 (2003) · Zbl 1035.90003
[62] Mogre, R.; Wong, C. Y.; Lalwani, C. S., Mitigating supply and production uncertainties with dynamic scheduling using real-time transport information, International Journal of Production Research, 52, 17, 5223-5235 (2014)
[63] Muckstadt, J. A., Analysis and algorithms for service parts supply chains (2005), Springer: Springer New York, NY, USA · Zbl 1080.90002
[64] Ormon, S. W.; Cassady, C. R., Cannibalization policies for a set of parallel machines, (Proceedings of the annual symposium reliability and maintainability, 2004-RAMS (2004)), 540-545
[65] Otto, A., Supply chain event management: Three perspectives, The International Journal of Logistics Management, 14, 2, 1-13 (2003)
[66] Paterson, C.; Kiesmüller, G.; Teunter, R.; Glazebrook, K., Inventory models with lateral transshipments: A review, European Journal of Operational Research, 210, 2, 125-136 (2011)
[67] Paterson, C.; Teunter, R.; Glazebrook, K., Enhanced lateral transshipments in a multi-location inventory system, European Journal of Operational Research, 221, 2, 317-327 (2012) · Zbl 1253.90030
[68] Pfohl, H. C.; Cullmann, O.; Stolzle, W., Inventory management with statistical process control: Simulation and evaluation, Journal of Business Logistics, 20, 1, 101 (1999)
[69] Pinçe, Ç.; Dekker, R., An inventory model for slow moving items subject to obsolescence, European Journal of Operational Research, 213, 1, 83-95 (2011) · Zbl 1237.90024
[70] Pinçe, Ç.; Frenk, J. B.G.; Dekker, R., The role of contract expirations in service parts management, Production and Operations Management, 24, 10, 1580-1597 (2015)
[71] Powell, W. B., Approximate Dynamic Programming: Solving the Curses of Dimensionality, Second Edition, (Shewhart, W. A.; Wilks, S. S. (2011), John Wiley and Sons, Inc) · Zbl 1242.90002
[72] Pyke, D. F., Priority repair and dispatch policies for reparable-item logistics systems, Naval Research Logistics (NRL), 37, 1, 1-30 (1990)
[73] Rezaei Somarin, A.; Chen, S.; Asian, S.; Wang, D. Z.W., A heuristic stock allocation rule for repairable service parts, International Journal of Production Economics, 184, 131-140 (2017)
[74] Rustenburg, J. W., Planning services: A control tower solution for managing spare parts, (Zijm, W. H.M.; Klumpp, M.; Clausen, U.; ten Hompel, M., Logistics and supply chain innovation: Bridging the gap between theory and practice (2016), Springer, Cham: Springer, Cham Switzerland), 239-259
[75] Salman, S.; Cassady, C. R.; Pohl, E. A.; Ormon, S. W., Evaluating the impact of cannibalization on fleet performance, Quality and Reliability Engineering International, 23, 4, 445-457 (2007)
[76] Schneeweiss, C. A.; Schröder, H., Planning and scheduling the repair shops of the deutsche lufthansa ag: A hierarchical approach, Production and Operations Management, 1, 1, 22-33 (1992)
[77] Scudder, G. D., Priority scheduling and spares stocking policies for a repair shop: The multiple failure case, Management Science, 30, 6, 739-749 (1984)
[78] Scudder, G. D., An evaluation of overtime policies for a repair shop, Journal of Operations Management, 6, 1, 87-98 (1985)
[79] Scudder, G. D.; Chua, R., Determining overtime policies for a repair shop, Omega, 15, 3, 197-206 (1987)
[80] Seidscher, A.; Minner, S., A Semi-Markov decision problem for proactive and reactive transshipments between multiple warehouses, European Journal of Operational Research, 230, 1, 42-52 (2013) · Zbl 1317.90031
[81] Sherbrooke, C. C., Optimal inventory modeling of systems-Multi-Echelon techniques (2004), Kluwer Academic Publishers · Zbl 1140.90017
[82] Shou-Wen, J.; Ying, T.; Yang-Hua, G., Study on supply chain information control tower system, Information Technology Journal, 12, 24, 8488-8493 (2013)
[83] Simao, H.; Powell, W., Approximate dynamic programming for management of high‐value spare parts, Journal of Manufacturing Technology Management, 20, 2, 147-160 (2009)
[84] Syntetos, A. A.; Babai, M. Z.; Altay, N., On the demand distributions of spare parts, International Journal of Production Research, 50, 8, 2101-2117 (2012)
[85] Teunter, R. H.; Klein Haneveld, W. K., Dynamic inventory rationing strategies for inventory systems with two demand classes, Poisson demand and backordering, European Journal of Operational Research, 190, 1, 156-178 (2008) · Zbl 1146.90010
[86] Tiemessen, H. G.H.; Fleischmann, M.; van Houtum, G. J.; van Nunen, J. A.E. E.; Pratsini, E., Dynamic demand fulfillment in spare parts networks with multiple customer classes, European Journal of Operational Research, 228, 2, 367-380 (2013) · Zbl 1317.90033
[87] Tiemessen, H. G.H.; van Houtum, G. J., Reducing costs of repairable inventory supply systems via dynamic scheduling, International Journal of Production Economics, 143, 2, 478-488 (2013)
[88] Topan, E.; Tan, T.; van Houtum, G. J.; Dekker, R., Using imperfect advance demand information in lost-sales inventory systems with the option of returning inventory, IISE Transactions, 50, 3 (2018)
[89] Topkis, D. M., Optimal ordering and rationing policies in a nonstationary dynamic inventory model with n demand classes, Management Science, 15, 3, 160-176 (1968) · Zbl 0169.51504
[90] Van Houtum, G. J.; Kranenburg, B., Spare parts inventory control under system availability constraints, 227 (2015), Springer US: Springer US Boston, MA, Retrieved from · Zbl 1356.90009
[91] Van Houtum, G. J.; Zijm, W. H.M., On the relationship between cost and service models for general inventory systems, Statistica Neerlandica, 54, 2, 127-147 (2000) · Zbl 0985.90006
[92] Van Wijk, A. C.C.; Adan, I. J.B. F.; van Houtum, G. J., Optimal allocation policy for a multi-location inventory system with a quick response warehouse, Operations Research Letters, 41, 3, 305-310 (2013) · Zbl 1286.90015
[93] Verrijdt, J.; Adan, I.; de Kok, T., A trade off between emergency repair and inventory investment, IIE Transactions, 30, 2, 119-132 (1998)
[94] Yang, G.; Dekker, R.; Gabor, A. F.; Axsäter, S., Service parts inventory control with lateral transshipment and pipeline stock flexibility, International Journal of Production Economics, 142, 2, 278-289 (2013)
[95] Zheng, Y.-S.; Zipkin, P., A queueing model to analyze the value of centralized inventory information, Operations Research, 38, 2, 296-307 (1990) · Zbl 0735.90036
[96] Zipkin, P. H., Performance analysis of a multi-item production-inventory system under alternative policies, Management Science, 41, 4, 690-703 (1995) · Zbl 0836.90091
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