Revenue Management in Manufacturing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Revenue Management in Manufacturing write by Danilo Zatta. This book was released on 2016-07-08. Revenue Management in Manufacturing available in PDF, EPUB and Kindle. This book focuses on the application of revenue management in the manufacturing industry. Though previous books have extensively studied the application of revenue management in the service industry, little attention has been paid to its application in manufacturing, despite the fact that applying it in this context can be highly profitable and instrumental to corporate success. With this work, the author demonstrates that the manufacturing industry also fulfills the prerequisites for the application of revenue management. The book includes a summary of empirical studies that effectively illustrate how revenue management is currently being applied across Europe and North America, and what the profit potential is.
Revenue Management for Manufacturing Companies
Revenue Management for Manufacturing Companies - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Revenue Management for Manufacturing Companies write by Florian Defregger. This book was released on 2019-01-10. Revenue Management for Manufacturing Companies available in PDF, EPUB and Kindle. 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.
Application of Revenue Management to the Manufacturing Industry
Application of Revenue Management to the Manufacturing Industry - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Application of Revenue Management to the Manufacturing Industry write by P. Blumenthal. This book was released on 2009-05. Application of Revenue Management to the Manufacturing Industry available in PDF, EPUB and Kindle. Seminar paper from the year 2008 in the subject Business economics - Supply, Production, Logistics, grade: 1,0, Technical University of Braunschweig (Institut für Produktion und Logistik), language: English, abstract: Revenue management (RM) is the umbrella term for a set of strategies, tactics and instruments aiming at the maximization of yield by allocating a company's capacity to different customers at different prices. Due to its great success, the application of revenue management is widespread nowadays. But as the origin of RM lies in the airline industry, this is still the sector of its main application. Service industries such as hotels, car-rentals or internet service providers which share the same characteristics as the airline industry (e.g. fixed capacity and a highly uncertain demand) discovered quite early the potential of RM. Consequently, they were the first to adopt RM strategies.1 Retailers, broadcasting industries and companies of the energy sector have followed lately. The core concept of RM becomes clear, considering the economics of RM (Cross 1997, p.73ff): The downward-sloping demand curve (figure 1) shows the number of units of a certain product which are sold at a certain price. [...]
Revenue Management with Flexible Products
Revenue Management with Flexible Products - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Revenue Management with Flexible Products write by Michael Müller-Bungart. This book was released on 2007-09-18. Revenue Management with Flexible Products available in PDF, EPUB and Kindle. This book analyzes revenue management (RM) problems with flexible products and RM in broadcasting companies. It presents models and methods that explicitly take the implications of flexibility into account. In addition, it contains descriptions of algorithms to generate stochastic demand data streams for general RM problems. To help readers with their own simulation studies, it provides an implementation as a Microsoft Windows executable file.
Revenue Management Models in the Manufacturing Industry
Revenue Management Models in the Manufacturing Industry - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Revenue Management Models in the Manufacturing Industry write by Tieming Liu (Ph. D.). This book was released on 2005. Revenue Management Models in the Manufacturing Industry available in PDF, EPUB and Kindle. (Cont.) For this problem we analyze the structure of the optimal policy and show that it is characterized by three state-independent control parameters: the produce-up-to level (S), the reserve-up-to level (R), and the backlog-up-to level (B). At the beginning of each period, the manufacturer will produce to bring the inventory level up to S or to the maximum capacity; during the period, s/he will set aside R units of inventory for the next period, and satisfy some customers with the remaining inventory, if expected future profit is higher; otherwise, s/he will satisfy customers with the inventory and backlog up to B units of demands. Then, we analyze a single-product, two-class-customer model in which demanding (high priority) customers would like to receive products immediately, while other customers are willing to wait in order to pay lower prices. For this model, we provide a heuristic policy characterized by three threshold levels: S, R, B.
