Abstract
The optimal deployment of inventory is a vital business function for a firm. The well-documented benefits of running manufacturing operation, or offering services, with leaner inventory range from a permanent reduction in working capital to increased sales and higher customer satisfaction. In this paper some models to assess multi-echelon inventory performance are presented. Particularly, the case of a communication company is described in which inventory levels and replenishment strategies are applied to the different echelons taking into consideration their mutual interactions. Some performance indexes, like inventory cost and service level, are considered and a simulation model is built to delve deeper into system issues.
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Albright S (1989) An approximation to the stationary distribution of a Multi-echelon repairable-item inventory system with finite sources and repair channels. Nav Res Logist 36(2):179–195
Albright S, Gupta A (1993) Steady-state approximation of a multi-echelon multi-indentured repairable-item inventory system with a single repair facility. Nav Res Logist 40(4):479–493
Al-Rifai MH, Rossetti MD (2007) An efficient heuristic optimization algorithm for a two-echelon (R, Q) inventory system. Int J Prod Econ 109(1–2):195–213
Axsäter S (1990) Modeling emergency lateral transshipments in inventory systems. Manage Sci 36(11):1329–1338
Axsäter S (1993) Continuous review policies for multi-level inventory systems with stochastic demand. In: Graves S, Rinnooy Kan A, Zipkin P (eds) Logistics of production and inventory. North Holland, Amsterdam
Balana A, Gross D, Soland R (1989) Optimal provisioning for single-echelon repairable item inventory control in a time-varying environment. IIE Trans 21(3):202–212
Ben-Daya M, Raouf A (1994) Inventory models involving lead times as a decision variable. J Oper Res Soc 45(5):579–582
Bier IJ, Tjelle JP (1994) The importance of interoperability in a simulation prototype for spares inventory planning. In Proceedings of the 1994 Winter Simulation Conference, Lake Buena Vista, FL, 11–14 December
Blazer D, Rippy D (1988) Modified Dyna-METRIC: Finding the Least Cost Mix of Wartime Spares. Air Force Logistics Command Wright-Patterson Afb Oh Reports, Accession Number: ADA194776
Burton J, Banerjee A (2005) Cost-parametric analysis of lateral transshipment policies in two-echelon supply chains. Int J Prod Econ 93–94:169–178
Chopra S, Rao MR, Tsai CY (1998) Computational study of the multi-echelon production planning problem. Nav Res Logist 44(1):1–19
Cohen M, Kleindorfer P, Lee H, Pyke D (1992) Multi-item service constrained (s, S) policies for spare parts logistics. Nav Res Logist 39(4):561–577
Dada M (1992) A two-echelon inventory system with priority shipments. Manage Sci 38(8):1140–1153
Daryanani S, Miller D (1992) Calculation of steady-state probabilities for repair facilities with multiple sources and dynamic return priorities. Oper Res 40(2):248–256
Diaz A, Fu CM (1995) Multi-echelon models for repairable items: a review. Working Paper, University of Maryland, Maryland
Diaz A, Fu CM (1997) Models for multi-echelon repairable item inventory systems with limited repair capacity. Eur J Oper Res 97(3):480–492
Diks EB, de Kok AG, Lagodimos AG (1996) Multi-echelon systems: a service measure perspective. Eur J Oper Res 95(2):241–263
Federgruen A (1993) Centralized planning models. In: Graves SC, Rinnooy Kan A, Zipkin P (eds) Logistics of production and inventory. North Holland, Amsterdam
Graves SC (1985) A multi-echelon inventory model for a repairable item with one for-one replenishment. Manage Sci 31(10):1247–1256
Graves SC (1996) A multi-echelon inventory model with fixed replenishment intervals. Manage Sci 42(1):1–18
Gross D, Gu B, Soland R (1993) Iterative solution methods for obtaining steady state probability distributions of Markovian Multi-echelon repairable items inventory systems. Comput Oper Res 20(8):817–828
Gross D, Miller D, Soland R (1983) A closed queueing network model for multi-echelon repairable item provisioning. IIE Trans 15(4):344–352
Gross D, Miller D, Soland R (1987) A network decomposition approach for approximate steady state behavior of Markovian multi-echelon repairable item inventory systems. Manage Sci 33(11):1453–1468
Hill RM, Seifbarghy M, Smith DK (2007) A two-echelon inventory model with lost sales. Eur J Oper Res 181(2):753–766
Hillestad RJ (1982) Dyna-METRIC: dynamic multi-echelon technique for recoverable item control. Rand Publication Series, R-2785-AF
Jung W (1993) Recoverable inventory systems with time-varying demand. Prod Inventory Manage J 34(1):77–81
Jung SK (2003) Modeling lateral transshipments in multi-echelon repairable-item inventory systems with finite repair channels. Comput Oper Res 30:1401–1417
Kennedy WJ, Patterson WJ, Fredendall LD (2002) An overview of recent literature on spare parts inventory. Int J Prod Econ 76(2):201–215
Kim JS, Choi DO (2005) Productivity measurement and evaluation models with application to a military Ramp. Int J Technol Manage 32(3–4):408–436
Lau HC, Song H (2008) Multi-echelon repairable item inventory system with limited repair capacity under non-stationary demands. Int J Inventory Res 1(1):67–92
Lee HL (1987) A multi-echelon inventory model for repairable items with emergency lateral transshipment. Manage Sci 33:1302–1338
Lee CB (2003) Multi-echelon inventory optimization. University of Stanford Global Supply Chain Management Forum: Evant White Papers Series. Available: http://www.stanford.edu
McGee JB, Rossetti MD, Mason SJ (2004) Simulating transportation practices in multi-indenture multi-echelon (MIME) systems. In Proceedings of the 2004 Winter Simulation Conference, Washington DC, 5–8 December
Moinzadeh KA (2002) Multi-echelon inventory system with information exchange. Manage Sci 48(3):414–426
Moinzadeh KA, Lee HL (1986) Batch size and stocking levels in multi-echelon repairable systems. Manage Sci 32(12):1567–1581
Muckstadt J (1973) A model for multi-item, multi-echelon, multi-indenture inventory system. Manage Sci 20(4):472–481
Muckstadt J, Roundy R (1993) Analysis of multistage production systems. In: Graves SC, Rinnooy Kan A, Zipkin P (eds) Logistics of production and inventory. North Holland, Amsterdam
Muckstadt J, Thomas L (1980) Are multi-echelon inventory models worth implementing in systems with low-demand rates? Manage Sci 26(5):483–494
Murphy VJ (February 2007) Multi-echelon supply chains: multy-inventory, multi-problems. Available: http://www. toolsgroup.com
Nahmias S, Smith SA (1994) Optimizing inventory levels in a two echelon retailer system with partial lost sales. Manage Sci 4:582–596
Pyke D (1990) Priority repair and dispatch policies for reparable-item logistics systems. Nav Res Logist 37(1):1–30
Reiser M (1981) Mean-value analysis and convolution method for queue-dependent servers in closed queuing networks. Perform Eval 1(1):7–18
Schmenner R (1981) Production/operations management. Concepts and situations. SRA, Chicago, IL
Sherbrooke C (1968) METRIC: a multi-echelon technique for recoverable item control. Oper Res 16(2):122–141
Sherbrooke C (1971) An evaluator for the number of operationally ready aircraft in a multilevel supply system. Oper Res 19(3):618–635
Sherbrooke C (1986) VARI-METRIC: improved approximation for multi-indenture, multi-echelon availability models. Oper Res 34(2):311–319
Sherbrooke C (1992) Optimal inventory modeling of systems. Wiley and Sons, New York
Simon R (1971) Stationary properties of a two-echelon inventory model for low demand items. Oper Res 19(3):761–773
Slay FB (1996) Optimizing spares support: the aircraft sustainability model. Technical Report, Logistics Management Institute, McLean, VA
Sleptchenko A, van der Heijden MC, van Harten A (2002) Effects of finite repair capacity in multi-echelon, multi-indenture service part supply systems. Int J Prod Econ 79(3):209–230
Suri R, Sanders J, Kamath M (1993) Performance evaluation of production networks. In: Graves SC, Rinnooy Kan A, Zipkin P (eds) Logistics of production and inventory. North Holland, Amsterdam
Svoronos A, Zipkin P (1991) Evaluation of one-for-one replenishment policies for multi-echelon inventory systems. Manage Sci 37(1):68–83
Wang H, Xie J, Li C (2008) Optimal model for multi-echelon inventory system based on GAAA algorithms. Proc Int Symp Comput Intell Des 1:426–431
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Gallo, M., Guerra, L., Naviglio, G. (2010). Multi-Echelon Inventory Performance Evaluation: The Case of a Communications Company. In: Taticchi, P. (eds) Business Performance Measurement and Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04800-5_19
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DOI: https://doi.org/10.1007/978-3-642-04800-5_19
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