Skip to main content

Literature Review

  • Chapter
  • First Online:
  • 2170 Accesses

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 671))

Abstract

In this literature review, a broad overview of the relevant and recent publications in the research fields studied in this book is provided. Based on the mass of literature available this review can only cover the relevant set of literature which builds the basis for the developed models.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Adenso-Diaz, B. (1996). How many units will be short when stockout occurs? International Journal of Operations & Production Management, 16(4), 112–118.

    Article  Google Scholar 

  • Altendorfer, K., & Minner, S. (2011). Simultaneous optimization of capacity and planned lead time in a two-stage production system with different customer due dates. European Journal of Operational Research, 213(1), 134–146.

    Article  Google Scholar 

  • Altendorfer, K., & Minner, S. (2012). Optimal composition of number and size of machines in a multi-stage make-to-order system with due dates. International Journal of Production Research, 50(3), 603–621.

    Article  Google Scholar 

  • Altiok, T. (1989). (R, r) Production/inventory systems. Operations Research, 37(2), 266–276.

    Article  Google Scholar 

  • Angelus, A., & Porteus, E. L. (2002). Simultaneous capacity and production management of short-life-cycle, produce-to-stock goods under stochastic demand. Management Science, 48(3), 399–413.

    Article  Google Scholar 

  • Axsäter, S. (2005). Planning order releases for an assembly system with random operation times. OR Spectrum, 27(2), 459–470.

    Article  Google Scholar 

  • Beichelt, F. (2006). Stochastic processes in science, engineering, and finance. Boca Raton: Chapman & Hall/CRC.

    Book  Google Scholar 

  • Bertrand, J. W. M., & Fransoo, J. C. (2008). Modelling and simulation. In C. Karlsson (Ed.), Researching operations management (pp. 265–306). New York: Routledge.

    Google Scholar 

  • Bertrand, J. W. M., & van Ooijen, H. P. G. (2008). Optimal work order release for make-to-order job shops with customer order lead-time costs, tardiness costs and work-in-process costs. International Journal of Production Economics, 116(2), 233–241.

    Article  Google Scholar 

  • Bertsimas, D., & Paschalidis, I. C. (2001). Probabilistic service level guarantees in make-to-stock manufacturing systems. Operations Research, 49(1), 119–133.

    Article  Google Scholar 

  • Blackstone, J. H., Jr., Phillips, D. T., & Hogg, G. L. (1982). A state-of-the-art survey of dispatching rules for manufacturing job shop operations. International Journal of Production Research, 20(1), 27–45.

    Article  Google Scholar 

  • Bradley, J. R., & Glynn, P. W. (2002). Managing capacity and inventory jointly in manufacturing systems. Management Science, 48(2), 273–288.

    Article  Google Scholar 

  • Brauer, D. C. (1985). Effect of lead time and service level on safety stock for a continuous review inventory system with independent demand. Production and Inventory Management, 26(2), 146–151.

    Google Scholar 

  • Brigham, G. (1955). On a congestion problem in an aircraft factory. Journal of the Operations Research Society of America, 3(4), 412–428.

    Google Scholar 

  • Brumelle, S. L. (1971). Some inequalities for parallel-server queues. Operations Research, 19(2), 402–413.

    Article  Google Scholar 

  • Buzacott, J. A., & Shanthikumar, J. G. (1992). Design of manufacturing systems using queueing models. Queueing Systems, 12(1), 135–213.

    Article  Google Scholar 

  • Buzacott, J. A., & Shanthikumar, J. G. (1994). Safety stock versus safety time in MRP controlled production systems. Management Science, 40(12), 1678–1689.

    Article  Google Scholar 

  • Chao, X., & Scott, C. (2000). Several results on the design of queuing systems. Operations Research, 48(6), 965–970.

    Article  Google Scholar 

  • Chen, H., & Yao, D. D. (2001). Fundamentals of queueing networks: Performance, asymptotics, and optimization. New York: Springer.

    Book  Google Scholar 

  • Chopra, S., Reinhardt, G., & Dada, M. (2004). The effect of lead time uncertainty on safety stocks. Decision Sciences, 35(1), 1–24.

    Article  Google Scholar 

  • Clark, A. J., & Scarf, H. (1960). Optimal policies for a multi-echelon inventory problem. Management Science, 6(4), 475–490.

    Article  Google Scholar 

  • Coelli, T., Grifell-Tatje, E., & Perelman, S. (2002). Capacity utilisation and profitability: A decomposition of short-run profit efficiency. International Journal of Production Economics, 79(3), 261–278.

    Article  Google Scholar 

  • Coleman, B. J. (2000). Determining the correct service level target. Production and Inventory Management Journal, 41(1), 19–23.

    Google Scholar 

  • Crabill, T. B., Gross, D., & Magazine, M. J. (1977). A classified bibliography of research on optimal design and control of queues. Operations Research, 25(2), 219–232.

    Article  Google Scholar 

  • Dar-El, E. M., & Malmborg, C. J. (1991). Improved strategy for service level-based safety stock determination. Production Planning & Control, 2(2), 116–121.

    Article  Google Scholar 

  • de Cani, J. S. (1962). A queueing model for business students. Management Science, 8(3), 278–286.

    Article  Google Scholar 

  • del Vecchio, C., & Paschalidis, L. C. (2006). Enforcing service-level constraints in supply chains with assembly operations. IEEE Transactions on Automatic Control, 51(12), 2000–2005.

    Article  Google Scholar 

  • Driscoll, M. F., & Weiss, N. A. (1976). An application of queueing theory to reservation networks. Management Science, 22(5), 540–546.

    Article  Google Scholar 

  • Elhafsi, M. (2002). Optimal leadtimes planning in serial production systems with earliness and tardiness costs. IIE Transactions, 34(3), 233–243.

    Google Scholar 

  • Federgruen, A., & Zipkin, P. (1984). Computational issues in an infinite-horizon, multiechelon inventory model. Operations Research, 32(4), 818–836.

    Article  Google Scholar 

  • Gayon, J.-P., Benjaafar, S., & de Vericourt, F. (2009). Using imperfect advance demand information in production-inventory systems with multiple customer classes. Manufacturing & Service Operations Management, 11(1), 128–143.

    Article  Google Scholar 

  • Glasserman, P., & Tayur, S. (1994). The stability of a capacitated, multi-echelon production-inventory system under a base-stock policy. Operations Research, 42(5), 913–924.

    Article  Google Scholar 

  • Gong, L., de Kok, T., & Ding, J. (1994). Optimal leadtimes planning in a serial production system. Management Science, 40(5), 629–632.

    Article  Google Scholar 

  • Graves, S. C. (1986). A tactical model for a job shop. Operations Research, 34(4), 522–533.

    Article  Google Scholar 

  • Greis, N. P. (1994). Assessing service level targets in production and inventory planning. Decision Sciences, 25(1), 15–40.

    Article  Google Scholar 

  • Gupta, D., & Benjaafar, S. (2004). Make-to-order, make-to-stock, or delay product differentiation? A common framework for modeling and analysis. IIE Transactions, 36(6), 529–546.

    Article  Google Scholar 

  • Hariharan, R., & Zipkin, P. (1995). Customer-order information, leadtimes, and inventories. Management Science, 41(10), 1599–1608.

    Article  Google Scholar 

  • Hartl, R. J. (1990). Inventory: An overlooked issue in financial management. The Journal of Education for Business, 66(1), 57–62.

    Article  Google Scholar 

  • Hillier, F. S. (1963). Economic models for industrial waiting line problems. Management Science, 10(1), 119–130.

    Article  Google Scholar 

  • Hopp, W. J., & Roof-Sturgis, M. L. (2000). Quoting manufacturing due dates subject to a service level constraint. IIE Transactions, 32(9), 771–784.

    Google Scholar 

  • Hopp, W. J., & Spearman, M. L. (2008). Factory physics: Foundation of manufacturing management (3rd ed.). Chicago: McGraw-Hill/Irwin.

    Google Scholar 

  • Inderfurth, K., & Schulz, T. (2007). Zur Exaktheit der Lagerkennlinie nach Nyhuis und Wiendahl. In A. Otto & R. Obermaier (Eds.), Logistikmanagement. Analyse, Bewertung und Gestaltung logistischer Systeme (pp. 23–49). Wiesbaden: Deutscher Universitätsverlag.

    Google Scholar 

  • Inderfurth, K., & Schulz, T. (2008). Zur Analyse von Lagerkennlinien. In K. Inderfurth, G. Neumann, M. Schenk, G. Wäscher, & D. Ziems (Eds.), Netzwerklogistik (pp. 295–310). Magdeburg: Logisch GmbH.

    Google Scholar 

  • Jodlbauer, H. (2008a). A time-continuous analytic production model for service level, work in process, lead time and utilization. International Journal of Production Research, 46(7), 1723–1744.

    Article  Google Scholar 

  • Jodlbauer, H. (2008b). Customer driven production planning. International Journal of Production Economics, 111(2), 793–801.

    Article  Google Scholar 

  • Jodlbauer, H., & Huber, A. (2008). Service-level performance of MRP, Kanban, CONWIP and DBR due to parameter stability and environmental robustness. International Journal of Production Research, 46(8), 2179–2195.

    Article  Google Scholar 

  • Jones, C. H. (1973). An economic evaluation of dispatching rules. Management Science, 20(3), 293–307.

    Article  Google Scholar 

  • Karaesmen, F., Buzacott, J. A., & Dallery, Y. (2002). Integrating advance order information in make-to-stock production systems. IIE Transactions, 34(8), 649–662.

    Google Scholar 

  • Karaesmen, F., Liberopoulos, G., & Dallery, Y. (2004). The value of advance demand information in production/inventory systems. Annals of Operations Research, 126(1), 135–157.

    Article  Google Scholar 

  • Karmarkar, U. S. (1987). Lot sizes, lead times and in-process inventories. Management Science, 33(3), 409–418.

    Article  Google Scholar 

  • Karmarkar, U. S. (1993). Manufacturing lead times, order release and capacity loading. In S. C. Graves, H. G. Rinnooy Kan, & P. H. Zipkin (Eds.), Logistics of production and inventory (pp. 287–329). Amsterdam: Elsevier.

    Chapter  Google Scholar 

  • Kiesmüller, G. P., & de Kok, A. G. (2006). The customer waiting time in an (R, s, Q) inventory system. International Journal of Production Economics, 104(2), 354–364.

    Article  Google Scholar 

  • Kruse, W. K. (1980). Waiting time in an S-1, S inventory system with arbitrarily distributed lead times. Operations Research, 28(2), 348–352.

    Article  Google Scholar 

  • Kutanoglu, E., & Sabuncuoglu, I. (1999). An analysis of heuristics in a dynamic job shop with weighted tardiness objectives. International Journal of Production Research, 37(1), 165–187.

    Article  Google Scholar 

  • Lejeune, M. A., & Ruszczynski, A. (2007). An efficient trajectory method for probabilistic production-inventory-distribution problems. Operations Research, 55(2), 378–394.

    Article  Google Scholar 

  • Liberopoulos, G. (2008). On the tradeoff between optimal order-base-stock levels and demand lead-times. European Journal of Operational Research, 190(1), 136–155.

    Article  Google Scholar 

  • Little, J. D. C. (1961). A proof for the queuing formula L = λW. Operations Research, 9(3), 383–387.

    Article  Google Scholar 

  • Liu, L., & Yuan, X.-M. (2001). Throughput, flow times, and service level in an unreliable assembly system. European Journal of Operational Research, 135(3), 602–615.

    Article  Google Scholar 

  • Luss, H. (1982). Operations research and capacity expansion problems: A survey. Operations Research, 30(5), 907–947.

    Article  Google Scholar 

  • Lutz, S., Löedding, H., & Wiendahl, H.-P. (2003). Logistics-oriented inventory analysis. International Journal of Production Economics, 85(2), 217–231.

    Article  Google Scholar 

  • MacGregor-Smith, J. (2007). Multi-server, finite waiting room, M/G/c/K optimization models. Infor, 45(4), 257–274.

    Google Scholar 

  • Mandelbaum, A., & Reiman, M. I. (1998). On pooling in queueing networks. Management Science, 44(7), 971–981.

    Article  Google Scholar 

  • Mapes, J. (1993). The effect of capacity limitations on safety stock. International Journal of Operations & Production Management, 13(10), 26–33.

    Article  Google Scholar 

  • Medhi, J. (1991). Stochastic models in queuing theory. Boston: Academic.

    Google Scholar 

  • Mincsovics, G., Tan, T., & Alp, O. (2009). Integrated capacity and inventory management with capacity acquisition lead times. European Journal of Operational Research, 196(3), 949–958.

    Article  Google Scholar 

  • Missbauer, H. (2002). Aggregate order release planning for time-varying demand. International Journal of Production Research, 40(3), 699–718.

    Article  Google Scholar 

  • Nyhuis, P., & Wiendahl, H.-P. (2002). Logistische Kennlinien. Grundlagen, Werkzeuge und Anwendungen (2nd ed.). Berlin u. a.: Springer.

    Google Scholar 

  • Paraskevopoulos, D., Karakitsos, E., & Rustem, B. (1991). Robst capacity planning under uncertainty. Management Science, 37(7), 787–800.

    Article  Google Scholar 

  • Rajagopalan, S., & Swaminathan, J. M. (2001). A coordinated -production planning model with capacity expansion and inventory management. Management Science, 47(11), 1562–1580.

    Article  Google Scholar 

  • Raman, A., & Kim, B. (2002). Quantifying the impact of inventory holding cost and reactive capacity on an apparel manufacturer’s profitability. Production and Operations Management, 11(3), 358–373.

    Article  Google Scholar 

  • Rao, S. S., Gunasekaran, A., Goyal, S. K., & Martikainen, T. (1998). Waiting line model applications in manufacturing. International Journal of Production Economics, 54(1), 1–28.

    Article  Google Scholar 

  • Ross, S. M. (2010). Introduction to probability models (10th ed.). Amsterdam, a. o.: Elsevier.

    Google Scholar 

  • Schneider, H. (1981). Effect of service-levels on order-points or order-levels in inventory models. International Journal of Production Research, 19(6), 615–631.

    Article  Google Scholar 

  • Schragenheim, E., & Dettmer, W. (2001). Manufacturing at warp speed. Optimizing supply chain financial performance. Boca Raton: CRC Press.

    Google Scholar 

  • Segerstedt, A. (1994). Inventory control with variation in lead times, especially when demand is intermittent. International Journal of Production Economics, 35(1), 365–372.

    Article  Google Scholar 

  • Selcuk, B., Fransoo, J. C., & de Kok, A. G. (2006). The effect of updating lead times on the performance of hierarchical planning systems. International Journal of Production Economics, 104(2), 427–440.

    Article  Google Scholar 

  • Selcuk, B., Fransoo, J. C., & de Kok, A. G. (2008). Work-in-process clearing in supply chain operations planning. IIE Transactions, 40(3), 206–220.

    Article  Google Scholar 

  • Silver, E. A., Pyke, D. F., & Peterson, R. (1998). Inventory management and production planning and scheduling (3rd ed.). New York: Wiley.

    Google Scholar 

  • Slack, N., & Lewis, M. (2002). Operations strategy. Harlow, England: Prentice-Hall.

    Google Scholar 

  • Song, J.-S., Yano, C. A., & Lerssrisuriya, P. (2000). Contract assembly: Dealing with combined supply lead time and demand quantity uncertainty. Manufacturing & Service Operations Management, 2(3), 287–296.

    Article  Google Scholar 

  • Song, D., Hicks, C., & Earl, C. F. (2001). Setting planned job release times in stochastic assembly systems with resource constraints. International Journal of Production Research, 39(6), 1289–1301.

    Article  Google Scholar 

  • Souza, G. C., Ketzenberg, M. E., & Guide, V. D. R., Jr. (2002). Capacitated remanufacturing with service level constraints. Production and Operations Management, 11(2), 231–248.

    Article  Google Scholar 

  • Spitter, J. M., Hurkens, C. A. J., de Kok, A. G., Lenstra, J. K., & Negenman, E. G. (2005). Linear programming models with planned lead times for supply chain operations planning. European Journal of Operational Research, 163(3), 706–720.

    Article  Google Scholar 

  • Sridharan, V., & LaForge, L. R. (1994). A model to estimate service levels when a portion of the master production schedule is frozen. Computers and Operations Research, 21(5), 477–486.

    Article  Google Scholar 

  • Stidham, S., Jr. (1970). On the optimality of single server queuing systems. Operations Research, 18(4), 708–732.

    Article  Google Scholar 

  • Stidham, S., Jr. (1992). Pricing and capacity decisions for service facility: Stability and multiple local optima. Management Science, 38(8), 1121–1139.

    Article  Google Scholar 

  • Stidham, S., Jr. (2002). Analysis, design, and control of queuing systems. Operations Research, 50(1), 197–216.

    Article  Google Scholar 

  • Tan, T., Güllü, R., & Erkip, N. (2007). Modelling imperfect advance demand information and analysis of optimal inventory policies. European Journal of Operational Research, 177(2), 897–923.

    Article  Google Scholar 

  • Tempelmeier, H. (2000). Inventory service-levels in the customer supply chain. OR-Spektrum, 22(3), 361–380.

    Article  Google Scholar 

  • Tijms, H. C. (2003). A first course in stochastic models. Amsterdam: Wiley.

    Book  Google Scholar 

  • van der Heijden, M. C., & de Kok, A. G. (1992). Customer waiting times in an (R, S) inventory system with compound Poisson demand. Zeitschrift für Operations Research, 36(4), 315–332.

    Google Scholar 

  • van Mieghem, J. A. (1998). Investment strategies for flexible resources. Management Science, 44(8), 1071–1078.

    Article  Google Scholar 

  • van Mieghem, J. A. (2003). Capacity management, investment, and hedging: Review and recent developments. Manufacturing & Service Operations Management, 5(4), 269–302.

    Article  Google Scholar 

  • van Mieghem, J. A., & Rudi, N. (2002). Newsvendor networks: Inventory management and capacity investment with discretionary activities. Manufacturing & Service Operations Management, 4(4), 313–335.

    Article  Google Scholar 

  • van Nieuwenhuyse, I., Vandaele, N., Rajaram, K., & Karmarkar, U. S. (2007). Buffer sizing in multi-product multi-reactor batch processes: Impact of allocation and campaign sizing policies. European Journal of Operational Research, 179(2), 424–443.

    Article  Google Scholar 

  • Vepsalainen, A. P. J., & Morton, T. E. (1987). Priority rules for job shops with weighted tardiness costs. Management Science, 33(8), 1035–1047.

    Article  Google Scholar 

  • Weeks, J. K. (1981). Optimizing planned lead times and delivery dates. 21st Annual Conference Proceeding, American Production and Inventory Society, pp.177–188.

    Google Scholar 

  • Weng, K. Z. (1996). Manufacturing lead times, system utilization rates and lead-time-related demand. European Journal of Operational Research, 89(2), 259–268.

    Article  Google Scholar 

  • Weng, K. Z. (1999). Strategies for integrating lead time and customer-order decisions. IIE Transactions, 31(2), 161–171.

    Article  Google Scholar 

  • Wiendahl, H.-P., & Breithaupt, J.-W. (1999). Modelling and controlling the dynamics of production systems. Production Planning & Control, 10(4), 389–401.

    Article  Google Scholar 

  • Wiendahl, H.-H., von Cieminski, G., & Wiendahl, H.-P. (2005). Stumbling blocks of PPC: Towards the holistic configuration of PPC systems. Production Planning & Control, 16(7), 634–651.

    Article  Google Scholar 

  • Wierman, A., Osogami, T., Harchol-Balter, M., & Scheller-Wolf, A. (2006). How many servers are best in a dual-priority M/PH/k system? Performance Evaluation, 63(12), 1253–1272.

    Article  Google Scholar 

  • Wijngaard, J. (2004). The effect of foreknowledge of demand in case of a restricted capacity: The single-stage, single-product case. European Journal of Operational Research, 159(1), 95–109.

    Article  Google Scholar 

  • Wijngaard, J., & Karaesmen, F. (2007). Advance demand information and a restricted production capacity: On the optimality of order base-stock policies. OR Spectrum, 29(4), 643–660.

    Article  Google Scholar 

  • Yano, C. A. (1987). Setting planned leadtimes in serial production systems with tardiness costs. Management Science, 33(1), 95–106.

    Article  Google Scholar 

  • Yu, K.-W. (2001). Terminkennnlinie. Eine Beschreibungsmethodik für die Terminabweichung im Produktionsbereich. Düsseldorf: VDI Verlag.

    Google Scholar 

  • Zäpfel, G. (1998). Customer-order-driven production: An economical concept for responding to demand uncertainty? International Journal of Production Economics, 56(57), 699–709.

    Article  Google Scholar 

  • Zhang, F., Roundy, R., Çanyildirim, M., & Huh, W. T. (2004). Optimal capacity expansion for multi-product, multi-machine manufacturing systems with stochastic demand. IIE Transactions, 36(1), 23–36.

    Article  Google Scholar 

  • Zipkin, P. H. (2000). Foundations of inventory management. Boston, a. o.: McGraw-Hill Higher Education.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Altendorfer, K. (2014). Literature Review. In: Capacity and Inventory Planning for Make-to-Order Production Systems. Lecture Notes in Economics and Mathematical Systems, vol 671. Springer, Cham. https://doi.org/10.1007/978-3-319-00843-1_2

Download citation

Publish with us

Policies and ethics