Network revenue management under Specific choice Models

Network revenue management under Specific choice Models
عنوان نشریه: 
شماره صفحه (از - تا): 

New challenges in the business environment such as increasing competition and influence of Internet as a main distribution channel lead to fundamental changes in traditional revenue management models.‎ Within these conditions, modeling individual’s decisions more accurately is becoming a key factor.‎ Nearly all research studies about the choice-based revenue management models used the well-known multinomial logit model.‎ This model has one important restriction that is called independence of irrelevant alternatives, a property which states that the ratio of choice probabilities for two distinct alternatives is independent of the attributes of any other alternatives.‎
In this paper a nested logit model is proposed for removing this limitation and incorporating correlation between alternatives in each nest.‎ The new subproblem of column generation is introduced and a combination of heuristic and metaheuristic algorithms for solving this problem is provided.‎ Interesting outcomes obtained during analyzing the results of experimental computations such as offer sets and iterations trend with respect to the correlation measure inside each nest.‎ Simulation results show although changing choice model might lead to significant improvement in revenue in some conditions, during all scenarios, observing correlation should not cause to change choice model immediately.‎


Etebari, Farhad, Abdolah Aghaei, and Ammar Jalalimanesh.‎ 2013.‎ Network revenue management under Specific choice Models.‎ Scientia Iranica ۲۰ (۶): ۲۱۶۱-۲۱۷۶.

مقاله ادواری علمی
دوره انتشار: 
وضعیت انتشار: 

افزودن دیدگاه