Equilibrium and optimal balking strategies of customers in unobservable queues with double adaptive working vacations. Issue 1 (2nd January 2017)

• Record Type: Journal Article
• Authors: Sun, Wei; Li, Shiyong; Tian, Naishuo
• Is Part Of: Quality technology & quantitative management. Volume 14:Issue 1(2017)
• Page Start: 94
• Page End: 113
• Publication Date: 2017-01-02
• Subjects: Unobservable queues -- double adaptive working vacations -- balking strategy -- social welfare; Quality control -- Periodicals; Quality control -- Statistical methods -- Periodicals; Industrial management -- Periodicals; Industrial management; Management -- Research -- Methodology -- Periodicals; Qualitative research -- Periodicals; Management; Quality control; Quality control -- Statistical methods; Periodicals; 658.00721
• DOI: 10.1080/16843703.2016.1191167
• Languages: English
• ISSNs: 1684-3703

Abstract

Abstract : This paper studies the customers' equilibrium and socially optimal balking behaviour in some single-server Markovian queues with double adaptive working vacations. Once the system becomes empty, the server takes a working vacation with a low service rate. If there are customer arrivals during this period, a regular busy period begins as soon as he finishes the vacation. Otherwise, he takes another working vacation with a much lower service rate than that in the first working vacation. After completing the second vacation, the server either stays idle or begins a busy period. We discuss two types of unobservable queues: the almost unobservable queues and the fully unobservable queues, respectively, and arriving customers can't observe system occupancy in both cases. For each type of queues, we get both the customers' equilibrium and socially optimal balking strategies and make numerical comparisons between them. We observe that their positive and stable equilibrium strategy and optimal strategy are unique, and especially, the customers' actual arrival rates in equilibrium in vacation states are not necessarily smaller than that in busy state in the almost unobservable queues. Moreover, we also find that whether the system information should be revealed to customers depends on the potential demand arrivals.