Analysis of Revenue-Sharing Contracts for Service Facilities

  • Yeh, Ruey Huei (Department of Industrial Management National Taiwan University of Science and Technology) ;
  • Lin, Yi-Fang (Department of Industrial Management National Taiwan University of Science and Technology)
  • Received : 2009.03.31
  • Accepted : 2009.08.31
  • Published : 2009.12.31

Abstract

There are customer services jointly provided by two facilities so that each customer will complete the course made up of both facilities' sub-services. The two facilities are assumed invested respectively by an infrastructure owner and one subordinate facility owner, whose partnership is built on their capital investments. This paper presents a mathematical model of Stackelberg competition between the two facility owners to derive their optimal Nash equilibrium. In this study, each facility owner's profit is consisted of fixed revenue fractions of sold services, operating costs (including depreciation cost) and maintenance costs of her facility. The maintenance costs of one facility are incurred both by failures and deterioration due to usage. Moreover, for both facilities, failures are rectified immediately by minimal repairs and preventive maintenance is carried out at a fixed time epoch. Additional assumptions are also employed to develop the model such as customer arrivals are manipulated to follow a Poisson process, and each facility's lifetime is independently Weibull-distributed. The Stackelberg game proceeds as follows. At the first stage of decision making process, the infrastructure owner (acting as a leader) decides the allocation of revenue shares based on her self-interest. After observing the allocation of revenue shares, the subordinate facility owner determines her own optimal price of services. This paper investigates actions and reactions of the two partners in the system. Then analytical conditions are proposed to achieve a unique optimal Nash equilibrium. Finally, some suggestions for further research are discussed.

Keywords

References

  1. Barlow, R. E. and Proschan, F. (1965), Mathematical Theory of Reliability, Wiley, New York, USA
  2. Bernstein, F. and DeCroix, G. A. (2004), Decentralized Pricing and Capacity Decisions in a Multitier System with Modular Assembly, Management Science, 50, 1293-1308 https://doi.org/10.1287/mnsc.1040.0255
  3. Cachon, G. P. and Lariviere, M. A. (2005), Supply Chain Coordination with Revenue-Sharing Contracts: Strengths and Limitations, Management Science, 51, 30-44 https://doi.org/10.1287/mnsc.1040.0215
  4. Dohi, T., Kaio, N., and Osaki, S. (2001), Optimal Periodic Maintenance Strategy Under an Intermittently Used Environment, IIE Transactions, 33, 1037-1046 https://doi.org/10.1023/A:1010937201582
  5. Gurnani, H. and Gerchak, Y. (2007), Coordination in decentralized assembly systems with uncertain component yields, European Journal of Operational Research, 176, 1559-1576 https://doi.org/10.1016/j.ejor.2005.09.036
  6. Hsu, L.-F. (1992), Optimal Preventive Maintenance Policies in an M/G/1 Queue-Like Production System, European Journal of Operational Research, 58, 112-122 https://doi.org/10.1016/0377-2217(92)90240-A
  7. Johnson, N. L, Kemp, A. W., and Kotz, S. (2005), Univariate Discrete Distributions (3rd ed)., Wiley, New York, USA
  8. Lariviere, M. A. and Porteus, E. L. (2001), Selling to the Newsvendor: An Analysis of Price-Only Contracts. Manufacturing and Service Operations Management, 3, 293-305 https://doi.org/10.1287/msom.3.4.293.9971
  9. Lawless, J. F. (2003), Statistical Models and Methods for Lifetime Data (2nd ed.), Wiley, New York, USA
  10. Nakagawa, T. and Kowada, M. (1983), Analysis of a System with Minimal Repair and its Application to Replacement Policy, European Journal of Operational Research, 12, 176-182 https://doi.org/10.1016/0377-2217(83)90221-7
  11. Scarf, P. A. (1997), On the Application of Mathematical Models in Maintenance, European Journal of Operational Research, 99, 493-506 https://doi.org/10.1016/S0377-2217(96)00316-5
  12. So, K. C. and Song, J.-S. (1998), Price, Delivery Time Guarantees and Capacity Selection, European Journal of Operational Research, 111, 28-49 https://doi.org/10.1016/S0377-2217(97)00314-7
  13. Wang, H. (2002), A Survey of Maintenance Policies of Deteriorating Systems, European Journal of Operational Research, 139, 469-489 https://doi.org/10.1016/S0377-2217(01)00197-7
  14. Wang, Y. and Gerchak, Y. (2003), Capacity Games in Assembly Systems with Uncertain Demand, Manufacturing and Service Operations Management, 5, 252-267 https://doi.org/10.1287/msom.5.3.252.16030