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Revenue Management has proven successful in a number of service industries. Starting out in the airlines industry in the 1970s, Revenue Management spread to tourism sectors such as hotels and cruise ships, but also to TV advertising and other industries. Revenue Management for the manufacturing sector is a relatively new concept which is explored in this book.
In order to test if there is a potential for Revenue Management in the manufacturing sector, a survey was conducted and sent to a large number of manufacturing companies in the paper, steel and aluminium industries. The results show that Revenue Management is already partly implemented in these industries, but has further greater potential for bottom line improvement in these industries.
The book continues with a number of mathematical decision models and heuristics for several application scenarios. The numerical results of the models indicate that manufacturing companies should seriously consider thinking about implementing a Revenue Management system in order to enhance profits significantly.
List of contents
1 Introduction.- 2 Empirical Study.- 3 Basic Model.- 4 Limited Inventory Capacity.- 5 Setup Times and Costs.- 6 Conclusions and Future Research.- Bibliography.
About the author
Florian Defregger published his work with Kölner Wissenschaftsverlag until 2018.
Summary
Revenue Management has proven successful in a number of service industries. Starting out in the airlines industry in the 1970s, Revenue Management spread to tourism sectors such as hotels and cruise ships, but also to TV advertising and other industries. Revenue Management for the manufacturing sector is a relatively new concept which is explored in this book.
In order to test if there is a potential for Revenue Management in the manufacturing sector, a survey was conducted and sent to a large number of manufacturing companies in the paper, steel and aluminium industries. The results show that Revenue Management is already partly implemented in these industries, but has further greater potential for bottom line improvement in these industries.
The book continues with a number of mathematical decision models and heuristics for several application scenarios. The numerical results of the models indicate that manufacturing companies should seriously consider thinking about implementing a Revenue Management system in order to enhance profits significantly.
