Naval Research Logistics Quarterly 413 Lindenmeier J Tscheulin DK

Naval research logistics quarterly 413 lindenmeier j

This preview shows page 26 - 30 out of 35 pages.

Naval Research Logistics Quarterly 1979; 26: 403-413. Lindenmeier J, Tscheulin DK. The effects of inventory control and denied boarding on customer satisfaction: The case of capacity-based airline revenue management. Tourism Management 2008; 29: 32-43. Smith B, Leimkuhler J, Darrow R. Yield Management at American Airlines. Interfaces 1992; 22 (1): 8-31. Makridakis S, Wheelwright SC, Hyndman RJ. Forecasting: Methods and Applications. John Wiley and Sons; 1998. McGill J, Van Ryzin G. Revenue Management: Research Overview and Prospects. Transportation Science 1999; 33 (2): 233-256. Noone BM, Kimes SE, Renaghan LM. Integrating Customer Relationship Management and Revenue Management: a Hotel Perspective. Journal of Revenue and Pricing Management 2003; 2 (1): 7-22. Orkin E. Boosting Your Bootom Line with Yield Management. Cornell Hotel and Restaurant Administration Quarterly 1988; 28 (4): 52-56. Pai PF, Hong WC. An Improved Neural Network Model in Forecasting Arrivals. Annals of Tourism Research 2005; 32 (4): 1138-1141. Shoemaker S. Future of Revenue Management: the Future of Pricing in Services. Journal of Revenue and Pricing Management 2003; 2 (3): 271-279. Smith B, Leimkuhler J, Darrow R. Yield Management at American Airlines. Interfaces 1992; 22 (1): 8-31. Svrcek T. Modeling Airline Group passenger Demand for Revenue Optimization. Massachusetts Institute of Technology, M.I.T. Libraries Theses Collection 1991.
Image of page 26
27 Talluri K, Van Ryzin G. The Theory and Practice of Revenue Management. Kluwer Academic Publishers; 2004. Vinod B. Unlocking the Value of Revenue Management in the Hotel Industry. Journal of Revenue and Pricing Management 2004; 3 (2): 178-190. Williamson E. Airline Network seat inventory control: Methodologies and revenue impacts. Massachusetts Institute of Technology, M.I.T. Libraries Theses Collection; 1992.
Image of page 27
28 Table 1. Reference Summary in Hotels Industry Reference Hotels Rothstein (1974), Ladany (1976), Liberman & Yechiali (1978), Orkin (1988), Relihan (1989), Kimes (1989), Bitran & Gilbert (1992), Bitran & Mondschein (1995), Baker & Collier (1999), Jones (1999), Luciani (1999), Choi & Cho (2000), Withiam (2001), Noone et al. (2003), Vinod (2004), Choi & Mattila (2005), Emeksiz et al. (2006), Hallin (2008)
Image of page 28
29 Table 2 List of parameters and variables of the models considered for optimizing the room distribution in the DSRM system DP DGP a Data k Length of stay (in days) λ g Length of group stay (in days) p j Fare price (category j ) μ g Group size (customers) b i Hotel capacity on day i c g Fare group d ijk Forecasted demand on day i , staying k days at fare category j . Variables x ijk Integer variable. Number of rooms reserved for the guest of ijk characteristics (arrival day i , fare j and length of stay k ) x g Binary variable. It represents the possible acceptance of group, g . SP / SGP a, b Data r Number of alternative scenarios being considered depending on different customers’ arrival process. It varies from 1 to S d ijk,r Forecasted demand on day i , staying k days at fare category j according to scenario r .
Image of page 29
Image of page 30

You've reached the end of your free preview.

Want to read all 35 pages?

What students are saying

  • Left Quote Icon

    As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

    Student Picture

    Kiran Temple University Fox School of Business ‘17, Course Hero Intern

  • Left Quote Icon

    I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

    Student Picture

    Dana University of Pennsylvania ‘17, Course Hero Intern

  • Left Quote Icon

    The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

    Student Picture

    Jill Tulane University ‘16, Course Hero Intern

Stuck? We have tutors online 24/7 who can help you get unstuck.
A+ icon
Ask Expert Tutors You can ask You can ask You can ask (will expire )
Answers in as fast as 15 minutes