Revenue management and demand fulfillment: matching applications, models and software

  • Rainer QuanteEmail author
  • Herbert Meyr
  • Moritz Fleischmann


Recent years have seen great revenue management successes, notably in the airline, hotel, and car rental businesses. Currently, an increasing number of industries, including manufacturers and retailers, are exploring ways to adopt similar concepts. Software companies are taking an active role in promoting the broadening range of applications. Additionally technological advances, including smart shelves and radio frequency identification (RFID), are removing many of the barriers to extended revenue management. The rapid developments in supply chain planning and revenue management software solutions, scientific models, and industry applications have created a complex picture, which is not yet well understood. It is not evident which scientific models fit which industry applications and which aspects are still missing. The relation between available software solutions and applications as well as scientific models appears equally unclear. The goal of this paper is to help overcome this confusion. To this end, we structure and review three dimensions, namely applications, models, and software. Subsequently, we relate these dimensions to each other and highlight commonalities and discrepancies. This comparison also provides a basis for identifying future research needs.


Revenue management Demand fulfillment Manufacturing Software Advanced planning systems 


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  1. Agatz N, Fleischmann M, van Nunen J (2007) E-fulfillment and multi-channel distribution—a review. Eur J Oper Res (in press)Google Scholar
  2. ARC Advisory Group (2006) Supply chain planning worldwide outlook.
  3. Arslan H, Graves SC, Roemer T (2005) A single-product inventory model for multiple demand classes. Working paper 4542-05, Massachusetts Institute of Technology (MIT), Sloan School of ManagementGoogle Scholar
  4. Ball MO, Chen CY, Zhao ZY (2004) Available-to-promise. In: Simchi-Levi D, Wu SD, Shen ZJ (eds) Handbook of quantitative supply chain analysis—Modeling in the e-business era. Kluwer, Dordrecht, pp 447–483CrossRefGoogle Scholar
  5. Bertrand JWM (2003) Supply chain design: flexibility considerations. In: de Kok A, Graves S (eds) Supply chain management: design, coordination and operation vol 11. Elsevier, pp 133-198Google Scholar
  6. Bitran G, Caldentey R (2003) An overview of pricing models for revenue management. Manuf Service Oper Manage 5(3):203–229CrossRefGoogle Scholar
  7. Boyd EA, Bilegan IC (2003) Revenue management and e-commerce. Manage Sci 49(10):1363–1386CrossRefGoogle Scholar
  8. Buttle F (2004) Customer relationship management, 1st edn. Butterworth Heinemann, OxfordCrossRefGoogle Scholar
  9. Chan LMA, Shen ZJM, Simchi-Levi D, Swann JL (2004) Coordination of pricing and inventory decisions: a survey and classification. In: Simchi-Levi D, Wu SD, Shen ZJ (eds) Handbook of quantitative supply chain analysis—modeling in the e-business era. Kluwer, Dordrecht, pp 335–392CrossRefGoogle Scholar
  10. Chase RB, Aquilano NJ (eds) (1995) Production and operations management: manufacturing and services, 7th edn. Irwin, ChicagoGoogle Scholar
  11. Chen CY, Zhao ZY, Ball MO (2001) Quantity and due date quoting available to promise. Infor Systems Front 3(4):477–488CrossRefGoogle Scholar
  12. Chiang WC, Chen JCH, Xu X (2007) An overview of research on revenue management: current issues and future research. Int J Rev Manage 1(1):97–128Google Scholar
  13. De Véricourt F, Karaesmen F, Dallery Y (2002) Optimal stock allocation for a capacitated supply system. Manage Sci 48(11):1486–1501CrossRefGoogle Scholar
  14. Dickersbach JT (ed) (2004) Supply chain management with APO. Springer, HeidelbergCrossRefGoogle Scholar
  15. Ding Q, Kouvelis P, Milner JM (2006) Dynamic pricing through discounts for optimizing multi-class fulfillment. Oper Res 54(1):169–183CrossRefGoogle Scholar
  16. Elmaghraby W, Keskinocak P (2003) Dynamic pricing in the presence of inventory considerations: research overview, current practices, and future directions. Manage Sci 49(10):1287–1309CrossRefGoogle Scholar
  17. Fischer ME (2001) “Available-to-Promise”: Aufgaben und Verfahren im Rahmen des Supply Chain Management. Theorie und Forschung Band 704, Wirtschaftswissenschaften Band 63. Roderer, RegensburgGoogle Scholar
  18. Fleischmann B, Meyr H (2004) Customer orientation in advanced planning systems. In: Dyckhoff H, Lackes R, Reese J (eds) Supply chain management and reverse logistics.. Springer, Berlin pp 297–321CrossRefGoogle Scholar
  19. Fleischmann M, Hall JM, Pyke DF (2004) Smart pricing. MIT Sloan Manage Rev 45(2):9–13Google Scholar
  20. Gordon V, Proth JM, Chu C (2002) A survey of the state-of-the-art of common due date assignment and scheduling research. Eur J Oper Res 139:1–25CrossRefGoogle Scholar
  21. Guerrero HH, Kern GM (1988) How to more effectively accept and refuse orders. Prod Invent Manage J 29(4):59–63Google Scholar
  22. Ha AY (1997) Inventory rationing in a make-to-stock production system with several demand classes and lost sales. Manage Sci 43(8):1093–1103CrossRefGoogle Scholar
  23. Harris FH, Pinder JP (1995) A revenue management approach to demand management and order booking in assemble-to-order manufacturing. J Oper Manage 13(4):299–309CrossRefGoogle Scholar
  24. Hoekstra S, Romme JE (1992) Integral logistic structures: developing customer-oriented goods flow. McGraw-Hill, LondonGoogle Scholar
  25. Kambil A, van Heck E (2002) Making markets: How firms can design and profit from online auctions and exchanges. Harvard Business School Press, BostonGoogle Scholar
  26. Keskinocak P, Tayur S (2004) Due-date management policies. In: Simchi-Levi D, Wu SD, Shen ZJ (eds) Handbook of quantitative supply chain analysis—Modeling in the e-business era.. Kluwer, Dordrecht, pp 485-547CrossRefGoogle Scholar
  27. Khouja M (1999) The single-period (news-vendor) problem: Literature review and suggestions for future research. Omega 27:537–553CrossRefGoogle Scholar
  28. Kilger C (2008) Computer assembly. In: Stadtler H, Kilger C (eds) Supply chain management and advanced planning, 4th edn. Springer, Heidelberg, pp 381–398CrossRefGoogle Scholar
  29. Kilger C, Meyr H (2008) Demand fulfilment and ATP. In: Stadtler H, Kilger C (eds) Supply chain management and advanced planning, 4th edn. Springer, Heidelberg, pp 181–198CrossRefGoogle Scholar
  30. Kilger C, Wagner M (2008) Demand planning. In: Stadtler H, Kilger C(eds) Supply chain management and advanced planning, 4th edn. Springer, Heidelberg, pp 133–160CrossRefGoogle Scholar
  31. Kleijn MJ, Dekker R (1998) An overview of inventory systems with several demand classes. Econometric institute report 9838/a, RSM Erasmus UniversityGoogle Scholar
  32. Kocabykoğlu A, Popescu I (2005) Joint pricing and revenue management with general stochastic demand. Working paper, INSEADGoogle Scholar
  33. Kraemer KL, Dedrick J, Yamashiro S (2000) Refining and extending the business model with information technology: Dell computer corporation. Infor Soc 16(1):5–21CrossRefGoogle Scholar
  34. Mantrala MK, Rao S (2001) A decision-support system that helps retailers decide order quantities and markdowns for fashion goods. Interfaces 31(3):146–165CrossRefGoogle Scholar
  35. Manugistics (2002) Enterprise profit optimization.
  36. McGill JI, van Ryzin G (1999) Revenue management: research overview and prospects. Transport Sci 33(2):233–256CrossRefGoogle Scholar
  37. Melchiors P, Dekker R, Kleijn M (2000) Inventory rationing in an (s, Q) inventory model with lost sales and two demand classes. J Oper Res Soc 51(1):111–122CrossRefGoogle Scholar
  38. Meyr H (2003) Die Bedeutung von Entkopplungspunkten für die operative Planung von Supply Chains. Zeitschrift für Betriebswirtschaft 9:1–22Google Scholar
  39. Meyr H (2008) Customer segmentation, allocation planning and order promising in make-to-stock production. OR Spectrum (in press)Google Scholar
  40. Meyr H, Rosič H, Seipl C, Wagner M. Wetterauer U (2008a) Architecture of selected APS. In: Stadtler H, Kilger C (eds) Supply chain management and advanced planning, 4th edn. Springer, Heidelberg, pp 349–366CrossRefGoogle Scholar
  41. Meyr H, Wagner M, Rohde J (2008b) Structure of advanced planning systems. In: Stadtler H, Kilger C (eds) Supply chain management and advanced planning, 4th edn. Springer, Heidelberg, pp 109–116CrossRefGoogle Scholar
  42. Mild A, Natter M, Reutterer T, Taudes A, Wöckl J (2006) Retail revenue management. In: Schnedlitz P, Buber R, Reutterer T, Schuh A, Teller C (eds) Innovationen in Marketing und Handel. Linde, Wien, pp 124–143Google Scholar
  43. Neslin SA (2002) Sales promotion. In: Weitz BA, Wensley R (eds) Handbook of marketing.. Sage Publications, London pp 310–338CrossRefGoogle Scholar
  44. Optiant (2007)
  45. Oracle (2007) Strategic acquisitions.
  46. Pak K, Piersma N (2002) Airline revenue management: an overview of OR techniques 1982-2001. Econometric Institute Report 256, Erasmus University, RotterdamGoogle Scholar
  47. Petruzzi NC, Dada M (1999) Pricing and the newsvendor problem: a review with extensions. Oper Res 47(2):183–194CrossRefGoogle Scholar
  48. Pibernik R (2005) Advanced available-to-promise: classification, selected methods and requirements for operations and inventory management. Int J Prod Econ 93-94:239–252CrossRefGoogle Scholar
  49. Pibernik R, Yadav P (2008) Inventory reservation and real-time order promising in a make-to-stock system. OR Spectrum (in press)Google Scholar
  50. Porteus EL (2002) Foundations of stochastic inventory theory. Stanford University PressGoogle Scholar
  51. Rohde J, Wagner M (2008) Master planning. In: Stadtler H, Kilger C (eds) Supply chain management and advanced planning, 4th edn. Springer, Heidelberg, pp 161–180CrossRefGoogle Scholar
  52. SAP (2003) Profitable-to-promise: The next step in the evolution of order promising.
  53. Scarf H (1960) The optimality of (s,S) policies for the dynamic inventory problem. In: Arrow KJ, Karlin S, Suppes P (eds) Mathematical methods in the social sciences. Stanford University Press, Stanford, California, pp 196–202Google Scholar
  54. Sharman G (1984) The rediscovery of logistics. Harvard Bus Rev 62(5):71–79Google Scholar
  55. Silver EA (1981) Operations research in inventory management: a review and critique. Oper Res 29(4):628–645CrossRefGoogle Scholar
  56. Silver EA, Pyke DF, Peterson R (eds) (1998) Inventory management and production planning and scheduling, 3rd edn. Wiley, New YorkGoogle Scholar
  57. Smartops (2007)
  58. Spengler T, Rehkopf S, Volling T (2007) Revenue management in make-to-order manufacturing—an application to the iron and steel industry. OR Spectrum 29(1):157–171CrossRefGoogle Scholar
  59. Stadtler H (2008) Purchasing and material requirements planning. In: Stadtler H, Kilger C (eds) Supply chain management and advanced planning, 4th edn. Springer, Heidelberg, pp 217–230CrossRefGoogle Scholar
  60. Stadtler H, Kilger C (eds) (2008) Supply chain management and advanced planning, 4th edn. Springer, HeidelbergGoogle Scholar
  61. Talluri KT, van Ryzin GJ (2004) The theory and practice of revenue management. Kluwer, DordrechtCrossRefGoogle Scholar
  62. Tempelmeier H (2006) Inventory management in supply networks. problems, models, solutions. Books on Demand, NorderstedtGoogle Scholar
  63. Vakali A, Angelis L, Pournara D (2001) Internet based auctions: a survey on models and applications. ACM SIGecom Exchanges 2(1):6–15CrossRefGoogle Scholar
  64. Vollmann TE, Berry WL, Whybark DC (2005) Manufacturing planning and control for supply chain management, 5th edn. Mcgraw-Hill, New YorkGoogle Scholar
  65. Weatherford LR, Bodily SE (1992) A taxonomy and research overview of perishable-asset revenue management: yield management, overbooking, and pricing. Oper Res 40(5):831–844CrossRefGoogle Scholar
  66. Whitin TM (1955) Inventory control and price theory. Manage Sci 2(1):61–68CrossRefGoogle Scholar
  67. Yano CA, Gilbert SM (2003) Coordinated pricing and production/procurement decisions: a review. In: Chakravarty AK, Eliashberg J (eds) Managing business interfaces: marketing, engineering and manufacturing perspectives. Kluwer, Norwell, International Series in Quantitative Marketing, pp 65–103Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Rainer Quante
    • 1
    Email author
  • Herbert Meyr
    • 2
  • Moritz Fleischmann
    • 3
  1. 1.Institute for Production ManagementVienna University of Economics and Business AdministrationViennaAustria
  2. 2.Chair of Production and Supply Chain ManagementTechnical University of DarmstadtDarmstadtGermany
  3. 3.RSM Erasmus UniversityDR RotterdamThe Netherlands

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