Using revenue management to improve pricing and capacity management in programme management

After the busy lunch hours on a weekday afternoon, John, Prego's restaurant manager, was looking at the half-empty restaurant. He felt that it was in total contrast to the lunch and dinner hours, especially during the weekends, when they had to turn away customers. If seats were occupied during the off-peak hours, more revenue could be generated. During the peak periods, when customer demand exceeded the supply of tables and diners were unwilling to wait for long, Prego was losing revenue and, perhaps, even future business. John thought that there should be better strategies in which the revenue could be increased. John hired a consultant to help develop a revenue management strategy that would increase revenues without jeopardizing diner satisfaction. The case deals with the typical challenges in demand and supply in capacity management in the restaurant business and services management.

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Maximizing revenue in airline industry through air cargo operations

E3S Web of Conferences ◽

10.1051/e3sconf/202124408019 ◽

2021 ◽

Vol 244 ◽

pp. 08019

Author(s):

Nisara Paethrangsi

Keyword(s):

Competitive Advantage ◽

Revenue Management ◽

Airline Industry ◽

Online Survey ◽

Management Strategies ◽

Capacity Management ◽

Primary Data ◽

Pricing Strategies ◽

Air Cargo ◽

The Impact

This research aims 1) to identify the impact of pricing strategies on airlines’ revenues, 2) to identify the impact of non-pricing strategies on airlines’ revenues, 3) to explore the significance of revenue management to airlines competitive advantage. The behavioural-demand based pricing, psychological pricing, capacity management and over contract booking strategies are determined as independent variables. A dependent variable is the competitive advantage, and a mediator is revenue management. Primary data was collected from an online survey of 500 airline industry and revenue management strategies personnel; there were only 424 completed questionnaires in return. Results show that larger competitive advantage is associated with non- pricing strategy which is the over contract booking and there is a positive relationship between the psychological pricing and competitive advantage, as compared to the behavioural-demand based pricing and capacity management based strategic approaches.

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OVERBOOKING MODELS FOR HOTEL REVENUE MANAGEMENT

10.32738/ceppm.201310.0074 ◽

2013 ◽

Author(s):

Panaratch Maneesophon ◽

◽

Naragain Phumchusri ◽

Keyword(s):

Revenue Management

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Revenue Management und dynamische Preissteuerung in der Autovermietung

Controlling ◽

10.15358/0935-0381-2012-11-617 ◽

2012 ◽

Vol 24 (11) ◽

pp. 617-621

Author(s):

Henrik Imhof

Keyword(s):

Revenue Management

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A new revenue management optimization model for wind power

Information Technology and Industrial Engineering ◽

10.2495/itie130431 ◽

2013 ◽

Author(s):

Dongxiao Niu ◽

Qian Zhang

Keyword(s):

Revenue Management ◽

Wind Power ◽

Optimization Model ◽

Management Optimization

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Food waste and dynamic complex systems: The case of Peru and a solution model proposal Part 1: Peruvian Anchoveta (Engraulis ringens)

10.31234/osf.io/3bjpv ◽

2020 ◽

Author(s):

Carlos A Almenara

Keyword(s):

United Nations ◽

Complex Systems ◽

Revenue Management ◽

Food Waste ◽

Intelligent Systems ◽

Solution Model ◽

Food And Agriculture ◽

Food And Agriculture Organization ◽

Engraulis Ringens ◽

The United Nations

[THE MANUSCRIPT IS A DRAFT] According to the Food and Agriculture Organization of the United Nations (FAO, 2020), food waste and losses comprises nearly 1.3 billion tonnes every year, which equates to around US$ 990 billion worldwide. Ironically, over 820 million people do not have enough food to eat (FAO, 2020). This gap production-consumption puts in evidence the need to reformulate certain practices such as the controversial monocropping (i.e., growing a single crop on the same land on a yearly basis), as well as to improve others such as revenue management through intelligent systems. In this first part of a series of articles, the focus is on the Peruvian anchoveta fish (Engraulis ringens).

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