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OR Topics - The Fundamentals of Revenue Management
Modelling Yield Management Decisions

A systems model of Revenue Management activity (Yeoman & Watson 1999) is presented in figure one. The systems based model presents three activities of management; forecasting, people and strategy.

 

  • Forecasting - The ability to forecast accurately is an enshrined principle of Revenue Management (Raeside 1997, Bodily & Weatherford 1995, Glover et al 1982) . This means knowing your consumer, their habits, their likes and their movements. Fundamentally, producing a model of your consumers. Cross (1997a) states that Revenue Management is about the ability to make decisions on knowledge, not feelings but forecasting. Forecasting is an essential element of Revenue Management in order to predict consumer behaviour. The better the forecast the better the business decisions, therefore better profits. Accurate and reliable forecasts provide a rational view of the market. The more accurate the forecast, the less more chance of been right. Forecasting means combining the factors of weather, risk, booking patterns, no-shows, cancellations, supply factors market assessment and historical data to name but a few. Combining these factors, to make accurate forecasts relies on information technology. As humans cannot digest such huge and growing amounts of information about all these variables. Information technology presents the information in order for the yield manager to make a prediction, that is better, more accurate and probable. The science element of Revenue Management is drawn from Operational Research (Cross 1997a), in order to manage all the variables to improve forecasting and achieve revenue optimisation. Operational Research is the engine behind RM. It is what makes the difference. Operational Research approaches to RM allow the yield manager to concentrate on making the decisions, rather than processing the data. The RM forecasting sub-system is an on going process, as information is constantly entering and leaving the sub-system for evaluation. As Robert Cross states, RM is about forecasting, reforecasting, reforecasting and.......
  • Strategy - Revenue Management is a decision making process (Yeoman & Ingold 1997). The design of that decision making process, is a corner stone of effective and efficient Revenue Management systems. A firm needs a Revenue Management strategy in order to guide Revenue Management decisions. Strategy needs to be developed based upon a range of scenarios and options, so that a firm can maximise revenue in different market segments. An evaluation of the customer buying behaviour is required, through consumers willingness to pay. (Cross 1997a, Huyton & Peter 1997). From the forecasting sub-system, the information that is provided needs to be evaluated through a range of options and tactics. Scenarios need to be measured for their effect on profit. What are the options for high demand scenarios? What are the options for low demand scenarios? Once the scenarios have evaluated, what are the tactics that are available. These options and tactics are developed from using a range of computer simulations packages, that will quantify the benefits of different scenarios. Simulation is about optimisation and minimisation. Simulation (Cross 1997b) is all about revenue, costs, displacements and profits. It is about modelling risk without taking the risk. It is about modelling all possibilities. This modelling process, is the corner stone of good Operational Research practice. It is the OR community that has developed effective algorithms, systems, processes to enable the yield manager to make good decisions. The contribution of OR in this sub-system allows decisions on improving market share, employing pricing promotions, reserving capacity for higher value consumers and changing the demand and supply equation.
  • People - The process of managing yield is basically a human activity. Forecasting and strategy sub-systems may produce information and options. But it is the yield manager that takes the decision and is accountable for those decisions. The sub-system of people requires an organisation to make commitment in the terms of resources and authority to the principles of Revenue Management . This requires the organisation to evaluate the principles of Revenue Management through defining, documenting and addressing the issues of Revenue Management operations. This means a commitment from the Managing Director to the shop floor worker in understanding the principles of Revenue Management . RM......is the buzz word, but not just with superficial meaning, but with depth and breadth. To manage the Revenue Management process, a team is required. RM is about commitment, focus and boundaries within the organisation, teams and the individuals concerned. Within these variables, RM is about creating an environment where accurate decisions are taken. One person must co-ordinate RM. This must be somebody who is respected, commands leadership, team player, articulate and a believer in the benefits of RM. This is a person that is not necessarily a technical expert, but rather a champion of a cause. This person, will lead a Revenue Management team, which is made up of players that are part of the RM equation. The RM team must have responsibility, accountability and authority to manage yield within the organisation. A RM team is responsible for the implementation of policy, decisions and tactics. A RM team will integrate with all aspects of the organisation. This RM team will be responsible for the evaluation of this RM systems model (Yeoman & Watson 1997).
  • The systems model of RM in Figure 1 (above), allows the reader to study RM in a holistic manner. The sub-systems of forecasting, strategy and people present the interrelationships and dimensions of RM. No one sub-system is more important than another. Each sub-system within the model has mutual interflows, such that the outflows form some of the inflows to others. One sub-systems residue becomes another sub-systems energy source. This explains the interdependency nature of the model. For RM to work, all of the sub-systems have to be in place. No one sub-system can survive without the other, therefore an organisation should take a preferred holistic approach to RM.
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Modelling Yield Management Decisions
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Belobaba
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Biglin
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Botimer
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