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@article{11164, author = {Fiala, Petr and Majovská, Renata}, article_location = {Katowice}, article_number = {1}, doi = {http://dx.doi.org/10.22367/mcdm.2023.18.02}, keywords = {revenue management; performance measurement; multiple criteria; Analytic Hierarchy Process (AHP); Analytic Network Process (ANP); Data Envelopment Analysis (DEA); customer behavior; efficient frontier; Aspiration Level Oriented Procedure (ALOP)}, language = {eng}, issn = {2084-1531}, journal = {Multiple Criteria Decision Making}, title = {Multicriteria Models in Revenue Management}, url = {https://mcdm.ue.katowice.pl/index.php?page=publications&year=2023}, volume = {18}, year = {2023} }
TY - JOUR ID - 11164 AU - Fiala, Petr - Majovská, Renata PY - 2023 TI - Multicriteria Models in Revenue Management JF - Multiple Criteria Decision Making VL - 18 IS - 1 SP - 29-46 EP - 29-46 PB - Publishing House of the University of Economics in Katowice SN - 20841531 KW - revenue management KW - performance measurement KW - multiple criteria KW - Analytic Hierarchy Process (AHP) KW - Analytic Network Process (ANP) KW - Data Envelopment Analysis (DEA) KW - customer behavior KW - efficient frontier KW - Aspiration Level Oriented Procedure (ALOP) UR - https://mcdm.ue.katowice.pl/index.php?page=publications&year=2023 N2 - Revenue Management (RM) is about selling the right product to the right customer at the right time at the right price through the right channel to maximise revenue. The real innovation of RM lies in the way decisions are made. The performance of revenue management approaches can be evaluated against several criteria. Both discrete and continuous multicriteria models can be used to analyse RM. The performance pyramid is a comprehensive, fully integrated per-performance system that captures multiple perspectives such as internal, financial, customer and innovation. The assessment is based on a combination of Analytic Hierarchy Process (AHP), Analytic Network Process (ANP) and Data Envelopment Analysis (DEA) approaches. Customer behavior modeling is gaining increasing attention in the field of rev-enue management. Customer choice models can be extended with more inputs and more outputs. Evaluation of alternatives can be performed using DEA-based evaluation methods. The search for an efficient frontier in a DEA model can be formulated as a multiobjective linear programming problem. We propose to use an Aspiration Level Oriented Procedure (ALOP) to solve the problem. ER -
FIALA, Petr a Renata MAJOVSKÁ. Multicriteria Models in Revenue Management. \textit{Multiple Criteria Decision Making}. Katowice: Publishing House of the University of Economics in Katowice, 2023, roč.~18, č.~1, s.~29-46. ISSN~2084-1531. Dostupné z: https://dx.doi.org/10.22367/mcdm.2023.18.02.
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