Citation for published version (APA): Teunter, R. H. (1998). Inventory control of service parts in the final phase Groningen: s.n.

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1 University of Groningen Inventory control of service parts in the final phase Teunter, Rudolf IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below. Document Version Publisher's PDF, also known as Version of record Publication date: 1998 Link to publication in University of Groningen/UMCG research database Citation for published version (APA): Teunter, R. H. (1998). Inventory control of service parts in the final phase Groningen: s.n. Copyright Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons). Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Downloaded from the University of Groningen/UMCG research database (Pure): For technical reasons the number of authors shown on this cover page is limited to 10 maximum. Download date:

2 Bibliography [1] D.C. Aucamp. Seperating the cost of capital from other carrying charges in a discounting formulation of the EOQ problem. International Journal of Operations and Production Management, 7(6):64 70, [2] E.W. Barakin and J. Denny. Examination of an inventory model incorporating probabilities of obsolescence. Logistics Review Military Logistics Journal, 1(1):11 25, [3] L.C. Barbosa and M. Friedman. Inventory lot size models with vanishing market. Journal of the Operational Research Society, 30(12): , [4] R.E. Barlow and F. Proschan. Mathematical Theory of Reliability. John Wiley and Sons, [5] R.E. Barlow and F. Proschan. Statistical Theory of Reliability and Life Testing. Holt, Rinehart and Winston, Inc., [6] S. Bose, A. Goswami, and K.S. Chaudhuri. An EOQ model for deteriorating items with linear time-dependent demand rate and shortages under inflation and time discounting. Journal of the Operational Research Society, 46(6): , [7] G.W. Brown, J.Y. Lu, and R.J. Wolfson. Dynamic modelling of inventories subject to obsolescence. Management Science, 11(1):51 63, [8] R.G. Brown. Economic order quantities for material subject to engineering change. Production and Inventory Management, 12:89 91, [9] S. Brumelle and D. Granot. The repair kit problem revisited. Operations Research, 41(5): , [10] R.W. Burton and S.C. Jaquette. The initial provisioning decision for insurance type items. Naval Research Logistics Quarterly, 20: ,

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4 Bibliography 131 [25] C-H. Goh, B.S. Greenberg, and H. Matsuo. Two-stage perishable inventory models. Management Science, 39(5): , [26] S.C. Graves. A multiple item inventory model with a job completion criterion. Management Science, 28(11): , [27] G. Hadley and T.M. Whitin. A family of dynamic inventory models. Management Science, 8: , [28] G. Hadley and T.M. Whitin. Analysis of Inventory Systems. Prentice- Hall, Englewood Cliffs, New York, [29] W.H. Hausman. On optimal repair kits under a job completion criterion. Management Science, 28(11): , [30] D. Heeremans and L.F. Gelders. Multiple period repair kit problem with a job completion criterion: a case study. European Journal of Operational Research, 81(2): , [31] D. Iglehart. Dynamic programming and stationary analysis of inventory problems. In H.E. Scarf, D.M. Gilford, and M.W. Shelly, editors, Multistage Inventory Models and Techniques, chapter 1. Stanford University Press, Stanford, California, [32] D. Iglehart. Optimality of (s, S) policies in the infinite horizon dynamic inventory problem. Management Science, 9: , [33] P. Joglekar and P. Lee. An exact formulation of inventory costs and optimal lot sizes in face of sudden obsolescence. Operations Research Letters, 14(5): , [34] P. Joglekar and P. Lee. A profit-maximization model for a retailer s stocking decisions on products subject to sudden obsolescence. Production and Operations Management, 5(3): , [35] S. Karlin. Dynamic inventory policy with varying stochastic demands. Management Science, 6(3): , [36] S. Karlin. Optimal policy for dynamic inventory process with stochastic demands subject to seasonal variations. Journal SIAM, 8(4): , [37] J. Karuna and E.A. Silver. Lot sizing for a product subject to obsolescence or perishability. European Journal of Operational Research, 75(2): , [38] A. Kaufmann, D. Grouchko, and R. Cruon. Mathematical Models for the Study of the Reliability of Systems. Academic Press, [39] J.D. Kettelle. Least cost allocation of reliability investment. Operations Research, 10(2): , 1962.

5 132 Bibliography [40] W.K. Klein Haneveld and R.H. Teunter. Optimal provisioning strategies for slow moving spare parts. Report 95A18, SOM, Graduate School Systems, Organisations and Management, University of Groningen, [41] E. Van Der Laan. The effects of remanufacturing on inventory control. PhD thesis, Erasmus University Rotterdam, [42] E. Van Der Laan, M. Salomon, and R. Dekker. Production planning and inventory control for remanufacturable durable products. Report 9531/A, Erasmus University Rotterdam, [43] J.W. Mamer and S.A. Smith. Optimizing field repair kits based on a job completion rate. Management Science, 28(11): , [44] J.W. Mamer and S.A. Smith. Job completion based inventory systems: optimal policies for repair kits and spare machines. Management Science, 31(6): , [45] S.T. March and G.D. Scudder. On optimizing field repair kits based on a job completion rate. Management Science, 30(8): , [46] J. Masters. A note on the effect of sudden obsolescence on the optimal lot size. Decision Science, 22(5): , [47] J.R. Moore. Forecasting and scheduling for past-model replacement parts. Management Science, 18(4):B200 B213, [48] E. Naddor. Inventory Systems. John Wiley and Sons, New York, [49] S. Nahmias. Perishable inventory theory: a review. Operations Research, 30(4): , [50] W. Pierskalla. An inventory problem with obsolescence. Naval Research Logistics Quarterly, 16: , [51] E.L. Porteus. On the optimality of generalized (s, S) policies. Management Science, 17: , [52] F. Raafat. Survey of literature on continuous deteriorating inventory models. Journal of the Operational Research Society, 42:27 37, [53] S.M. Ross. Introduction to Probability Models. Academic Press, [54] H. Scarf. The optimality of (S, s) policies in the dynamic inventory problem. In K. Arrow, S. Karlin, and P. Suppes, editors, Mathematical models in the social sciences. Stanford University Press, Stanford, California, [55] C.C. Sherbrooke. A multi-echelon technique for recoverable item control. Operations Research, 16: , [56] E.A. Silver and R. Peterson. Decision Systems for Inventory Management and Production Planning. John Wiley and Sons, New York, 1985.

6 Bibliography 133 [57] V.R. Singhal and A.S. Raturi. The effect of inventory decisions and parameters on the opportunity cost of capital. Journal of Operations Management, 9(3): , [58] V.R. Singhal and A.S. Raturi. Estimating the opportunity cost of capital for inventory investments. OMEGA, 18(4): , [59] S.A. Smith, J.C. Chambers, and E. Shlifer. Optimal inventories based on job completion rate for repairs requiring multiple items. Management Science, 26(8): , [60] J. Song and P. Zipkin. Inventory control in a fluctuating demand environment. Operations Research, 41(2): , [61] J. Song and P. Zipkin. Managing inventory with the prospect of obsolescence. Operations Research, 44(1): , [62] L.V. Tavares and L.T. Almeida. A binary decision model for the stock control of very slow moving items. Journal of the Operational Research Society, 34(3): , [63] R.J. Tersine. Principles of Inventory and Materials Management. Elsevier Science Publishing Company, New York, [64] R.H. Teunter and L. Fortuin. End-of-life service: a case study. accepted by European Journal of Operational Research, [65] H.C. Tijms. Analysis of (s, S) inventory models. Mathematical Centre Tracts, 95, [66] T.S. Vaughan. A model of the perishable inventory system with reference to consumer-realized product expiration. Journal of the Operational Research Society, 45(5): , [67] Jr. Veinnot, A.F. On the optimality of (s, S) inventory policies: new conditions and a new proof. SIAM Journal on Applied Mathematics, 14: , [68] J.H.C.M. Verrijdt. Design and support of service parts distribution systems. PhD thesis, Technical University of Eindhoven, Eindhoven, The Netherlands, [69] T.M. Williams. Stock control with sporadic and slow-moving demand. Journal of the Operational Research Society, 35(10): , [70] P. Zipkin. Critical number policies for inventory models with periodic data. Management Science, 35(1):71 80, 1989.

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