Models of logistic support systems

• Autorzy: Nowakowski T. , Werbińska-Wojciechowska S.
• Języki publikacji: EN

Abstrakty

EN

We present an overview of some recent developments in the area of inventory planning and maintenance scheduling issues. The emphasis is on spare part inventory models, which authors divided into four main groups of models: models of optimal spare part inventory policy for system under PM, number of spare parts optimization models, storage reliability models, multi-echelon systems models. Later, in the paper there is considered the time dependent system of systems where the system total task must be executed during the constrained time resource. There is used the simulation approach to investigate the influence of parameters of the procurement process (order quantity, critical inventory level, lead-time length) on the system of systems behavior.

Słowa kluczowe

EN

logistic support system; maintenance modelling; inventory models; procurement process

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2009
• Tom: Vol. 2
• Strony: 325--344
• Opis fizyczny: Bibliogr. 80 poz., rys., tab., wykr.

Twórcy

autor

Nowakowski T.

• Wroclaw University of Technology, Wroclaw, Poland

autor

Werbińska-Wojciechowska S.

• Wroclaw University of Technology, Wroclaw, Poland

Bibliografia

• [1] Biernat, J., Ciesielski, S. & Piaseczny, L. (1977). Problems of system reliability control Turing exploitation process (in Polish). Proc. of VI Winter School of Reliability Katowice 1977, OPT, Katowice.
• [2] Blanchard, B. S. (2004). Logistics engineering and management. Pearson Prentice Hall, Upper Saddle River.
• [3] Brezavscek, A. & Hudoklin, A. (2003). Joint optimization of block-replacement and periodicreview spare-provisioning policy. IEEE Transactions of Reliability, Vol., 52, No. 1.
• [4] Bridgman, M. S. (1993). Mount-Campbell C. A., Determining the number of spares in an inventory/repair system which supports equipment with scheduled usage. International Journal of Production Economics, 30-31.
• [5] Buyukkurt, M. D. & Parlar M. (1993). A comparison of allocation policies in a twoechelon repairable-item inventory model. International Journal of Production Economics, 29.
• [6] Catuneanu, V. M., Moldovan, C., Popentiu, Fl. & Gheorghiu M. (1988). Optimum system availability and spare allocation. Microelectronics and Reliability, Vol. 28, No. 3.
• [7] Chaberek, M. (2002). Micro- and macroeconomic aspects of logistic support (in Polish). A. W. UG., Tri-City.
• [8] Chelbi, A. & Ait-Kadi, D. (2001). Spare provisioning strategy for preventively replaced systems subjected to random failure. International Journal of Production Economics, 74.
• [9] Cheung, K. L. & Hausman, W. H. (1993). A multiechelon inventory model with multiple failures. Naval Research Logistics, Vol. 40.
• [10] Cho, I. D. & Parlar, M. (1991). A survey of maintenance models for multi-unit systems. European Journal of Operational Research 51, 1-23.
• [11] Chrzanowski, M. & Laskowski, D. (2003). Spare parts demand forecasting in LAN network (In Polish). Proc. of XXXI Winter School of Reliability Szczyrk, 2003, A.W. ITeE, Radom.
• [12] Cochran, J. K. & Lewis, T. P. (2002). Computing small-fleet aircraft availabilities including redundancy and spares. Computers and Operations Research, 29.
• [13] Coughlin, R. J. (1984). Optimization of spares In a maintenance scenario. Proceedings of Annual Reliability and Maintainability Symposium.
• [14] Crossley, W. A. (2006). System of systems: an introduction of Purdue University Schools of Engineering Signature Area. Available on: http://esd.mit.edu/symposium/pdfs/papers/crossley.pdf (29.11.2006).
• [15] De Smidt-Destombes, K. S., van der Heijden, M. C. & van Harten, A. (2006). On the interaction between maintenance, spare part inventories and repair capacity for a k-out-of-n system with wearout. European Journal of Operational Research, 174.
• [16] Diaz, A. & Fu, M. C. (1997). Models for multiechelon repairable item inventory systems with limited repair capacity. European Journal of Operational Research, 97.
• [17] Diaz, A. & Fu, M. C. (1995). Multi-echelon models for repairable items: a review. Working Paper, University of Maryland.
• [18] Diks, E. B. & de Kok, A. G. (1998). Optimal control of a divergent multi-echelon inventory system. European Journal of Operational Research, 111.
• [19] Diks, E. B., de Kok, A. G. & Lagodimos, A. G. (1996). Multi-echelon systems: A service measure perspective. European Journal of Operational Research, 95.
• [20] Dohi, T., Ashioka, A., Kaio, N. & Osaki, S. (2003). The optimal repair-time limit replacement policy with imperfect repair: Lorenz Transform approach. Mathematical and Computer Modelling, 38.
• [21] Dohi, T., Kaio, N. & Osaki, S. (1998). On the optimal ordering policies in maintenance theory – survey and applications. Applied Stochastic Models and Data Analysis, 14.
• [22] Dohi, T., Osaki, S. & Kaio, N. (1996). Optimal planned maintenance with salvage cost for a twounit standby redundant system. Microelectronics and Reliability, Vol. 36, No. 10.
• [23] Gharbi, A., Kenne, J-P. & Beit, M. (2007). Optimal safety stocks and preventive maintenance periods in unreliable manufacturing systems. International Journal of Production Economics, 107.
• [24] Gniedenko, B. W., Bielajew, J. K. & Sołowjew, A. D. (1968). Mathematical models in theory of reliability (in Polish). WNT, Warszawa.
• [25] Guide, Jr V. D. R. & Srivastava, R. (1997). Repairable inventory theory: Models and applications. European Journal of Operational Research, 102.
• [26] Hagmark P. E., Pernu H. (2006). Risk evaluation of a spare part stock by stochastic simulation. Safety and reliability for managing risk. Eds C. G. Soares, E. Zio, Leiden: Taylor and Francis.
• [27] Inderfur, K. (1994). Safety stocks in multistage divergent inventory systems: a survey. International Journal of Production Economics, 35.
• [28] Ito, K. & Nakagawa, T. (2000). Optimal inspection policies for a storage system with degradation at periodic tests. Mathematical and Computer Modelling, 31.
• [29] Ito, K. & Nakagawa, T. (1995). An optima inspection policy for a storage system with high reliability. Microelectronics Reliability, Vol. 36, No. 6.
• [30] Ito K., Nakagawa T. Nishi K. (1995). Extended optimal inspection policies for a system In storage. Mathematical and Computer Modelling, 22.
• [31] Ito, K. & Nakagawa, T. (1992). Optimal inspection policies for a system in storage. Computers and Mathematics with Applications, Vol. 24, No. 1/2.
• [32] Kaplan, A. & Orr, D. (1985). An optimum multiechelon repair policy and stockage model. Naval Research Logistics Quarterly, Vol. 32.
• [33] Kim, J-S., Kim, T-Y. & Hur, S. (2007). An algorithm for repairable item inventory system with depot spares and general repair time distribution. Applied Mathematical Modelling, 31.
• [34] Kim, J-S., Shin, K-Ch. & Yu, H-K. (1996). Optimal algorithm to determine the spare inventory level for a repairable-item inventory system. Computers and Operations Research, Vol. 23, No. 3.
• [35] Kenne, J-P., Gharbi, A. & Beit, M. (2007). Agedependent production planning and maintenance strategies in unreliable manufacturing systems with lost sale. European Journal of Operational Research, 178.
• [36] Kennedy, W. J., Patterson, J. W. & Fredendall L. D. (2002). An overview of recent literature on spare parts inventories. International Journal of Production Economics, 76.
• [37] Korugan, A. & Gupta, S. M. (1998). A multiechelon inventory system with returns. Computers and Industrial Engineering, Vol. 35, No. 1-2.
• [38] Kumar, U. D. & Knezevic, J. (1998). Availability based spare optimization using renewal process. Reliability Engineering and System Safety, 59.
• [39] Lau, H. Ch., Song, H., See, Ch. T. & Cheng, S. Y. (2006). Evaluation of time varying availability In multi-echelon spare parts systems with passivation. European Journal of Operational Research, 170.
• [40] Lau, H. Ch. & Song, H. (2005). Evaluation of time-varying availability in multi-echelon inventory system under combat damage. Proceedings of IEEE International Conference on Automation Science and Engineering, Edmonton.
• [41] Mabini, M. C. Pintelon, L. M. & Gelders, L. F. (1992). EOQ type formulations for controlling repairable inventories. International Journal of Production Economics, 28.
• [42] Magiera, J., & Młynarski, S. (2003). Reliability level forecasting in case of number of spare parts planning for vehicles exploitation process (inPolish). Proc. of XXXI Winter School of Reliability Szczyrk, 2003, A.W. ITeE, Radom.
• [43] Martinez, E. C. (1984). Storage reliability with periodic test. Proceedings of Annual Reliability and Maintainability Symposium.
• [44] Matta, K. F. (1985). A simulation model for repairable items/spare parts inventory systems. Computers and Operations Research, Vol. 12, No. 4.
• [45] Mazur, T. & Łopuszyński B. (1977). Models of spare parts programming in multi-echelon systems (in Polish). Proc. of VI Winter School of Reliability Katowice 1977, OPT, Katowice.
• [46] Mehrez, A. & Stulman, A. (1983). Age replacement in the presence of inventory constraints. European Journal of Operational Research, 12.
• [47] Migdalski, J. (1982). Reliability handbook. Mathematical basis. (in Polish) WEMA, Warszawa.
• [48] Nakagawa, T. (1984). A summary of discrete replacement policies. European Journal of Operational Research 17, 382-392.
• [49] Nicolai, R. P. & Dekker, R. (2006). Optimal maintenance of multicomponent systems: a review. Economic Institute Report 2006.
• [50] Nowakowski, T. & Werbińska, S. (2008). Maintenance modelling concepts – state of art. International Journal of Materials and Structural Reliability. 2008 vol. 6, nr 2, s. 229-254.
• [51] Park, Y. T. & Park, K. S. (1985). Optimal stocking for replacement with minimal repair. Microelectronics and Reliability, Vol. 25, No. 1.
• [52] Pham, H. & Wang, H. (1996). Imperfect maintenance. European Journal of Operational Research 94, 425-438.
• [53] Pierskalla, W. P. & Voelker, J. A. (1976). A survey of maintenance models: the control and surveillance of deteriorating systems. Naval Research Logistics Quarterly 23, 353-388.
• [54] Pyke, D. F. (1990). Priority repair and dispatch policies for repairable-item logistics systems. Naval Research Logistics, Vol. 37.
• [55] Sarjusz-Wolski, Z. (1998). Strategy of supply management. Practice of business logistics. (in Polish). A.W. PLACET, Warsaw.
• [56] Sarker, R. & Haque, A. (2000). Optimization of maintenance and spare provisioning policy Rusing simulation. Applied Mathematical Modelling, 24.
• [57] Sherif, Y. S. (1982). Reliability analysis: Optimal inspection & maintenance schedules of mailing equipment. Microelectronics and Reliability Vol. 22, No. 1, 59-115.
• [58] Sheu, S. H., Liou, Ch. T. & Tseng, B. Ch. (1992). Optimal ordering policies and optimal number of minimal repairs before replacement. Microelectronics and Reliability, Vol. 32, No. 7.
• [59] Shtub, A. & Simon, M. (1994). Determination of reorder points for spare parts in a two-echelon inventory system: the case of non identical maintenance facilities. European Journal of Operational Research, 73.
• [60] Sleptchenko, A., van der Heiden, M. C. & van Harten, A. (2005). Using repair priorities to reduce stock investment in spare part networks. European Journal of Operational Research, 163.
• [61] Sleptchenko, A., van der Heiden, M. C. & van Harten, A. (2002). Effects of finite repair capa city in multi-echelon, multi-indenture service part supply systems. International Journal of Production Economics, 79.
• [62] Smith, Ch. H. & Schaefer, M. K. (1985). Optimal inventories for repairable redundant systems with aging components. Journal of Operations Management, Vol. 5, No. 3.
• [63] Sridharan, V. & Mohanavadivu, P. (1997). A note on the cost analysis of an n-unit system with spares. Microelectronics and Reliability, Vol. 37, No. 5.
• [64] Sridharan, V. (1993). A note on ordering Policie with cost of observation and lead times. International Journal of Production Economics, 32.
• [65] Thomas, L. C. (1986). A survey of maintenance and replacement models for maintainability and reliability of multi-item systems. Reliability Engineering 16, 297-309.
• [66] Thomas, L. C. & Osaki, S. (1978). An optima ordering policy for a spare unit with lead time. European Journal of Operational Research, 2.
• [67] Valdez-Flores, C. & Feldman, R. (1989). A survey of preventive maintenance models for stochastically deteriorating single-unit systems. Naval Research Logistics Vol. 36, 419-446.
• [68] van der Heijden, M. C., Diks, E. B. & de Kok, A. G. (1997). Stock allocation in general multiechelon distribution systems with (R,S) order-outto-policies. International Journal of Production Economics, 49.
• [69] Vaughan, T. S. (2005). Failure replacement and preventive maintenance spare parts ordering policy. European Journal of Operational Research, 161.
• [70] Vujosevic, M., Petrovic, R. & Senborn, A. (1990). Spare parts inventory planning for a redundant system subject to a phased mission. Engineering Costs and Production Economics, 19.
• [71] Wang, H. (2002). A survey of maintenance policies of deteriorating systems. European Journal of Operational Research 139, 469-489.
• [72] Ważyńska-Fiok, K. & Jadźwiński, J. (1990). Reliability of technical systems (in Polish), PWN, Warszawa.
• [73] Werbińska, S. (2008). Model of logistic suport for exploitation system of means of transport. PhD thesis (not publ.). Wroclaw Technical University, Wroclaw.
• [74] Werbińska, S. (2007). Interactions between logistic and operational system – an availability model. Risk, reliability and societal safety. Eds T. Aven, J. E. Vinnem, Leiden: Taylor and Francis.
• [75] Werbińska, S. (2007). The reliability model of logistic support system with Time Dependency (in Polish). Logistics No. 3.
• [76] Werbińska, S. (2007). Problems of designing logistic support system with time dependency. SYSTEMS Journal of Transdisciplinary Systems Science, Vol. 12, No. 2.
• [77] Werbińska, S. (2006). Heuristic methods In forecasting of demand for Nashuatec spare elements. Proc. of XXXIV Winter School of Reliability Szczyrk, 2006, A.W. ITeE, Radom.
• [78] Yamada, S. & Osaki, S. (1980). Reliability evaluation of a two-unit unrepairable system. Microelectronics and Reliability, Vol. 20.
• [79] Zhao, M. & Xie, M. (1994). A model of storage reliability with possible initial failures. Reliability Engineering and System Safety, 43.
• [80] Zohrul Kabir, A. B. M. & Al-Olayan, A. S. (1996). A stocking policy for spare part provisioning under age based preventive replacement. European Journal of Operational Research, 90.