Secure CheckoutPersonal information is secured with SSL technology.
Free ShippingFree global shipping
No minimum order.
Developments in Operational Research reviews developments in operational research (OR) and includes numerical examples to illustrate techniques and applications. Topics covered include some of the most widely used OR ""techniques"", such as mathematical programming and simulation, together with the contribution of OR methodology to specific application areas, such as capital investment appraisal and purchasing. This book is comprised of seven chapters and begins with an introduction to the state of mathematical programming systems, along with the relevance of other optimization algorithms to OR and techniques for handling certain types of nonlinearity. The discussion then turns to network optimization techniques and their applications for the New Zealand Justice Department as well as for the wheat and dairy industries. The following chapters focus on computer simulation as applied in OR, with emphasis on various approaches to discrete event modeling; application of OR to industrial maintenance and replacement; financial appraisal methods, including discounting methods; and the use of Bayesian decision analysis to decision making. This text concludes by looking at the purchasing function and the limitations of classical stock control theory in practice. Models and procedures are developed to cope with real situations. Materials requirements planning, quantity discounts, price inflation, commodity purchasing decisions, and blending problems are considered. This monograph will be of interest to planners, decision makers, and others involved in operations research.
Recent Advances in Network Optimization Methods and Applications
Computer Simulation for Operational Research in 1984
Operational Research Applied to Industrial Maintenance and Replacement
Capital Investment Appraisal
From Decision Theory to Decision Analysis
- No. of pages:
- © Pergamon 1984
- 1st January 1984
- eBook ISBN:
Elsevier.com visitor survey
We are always looking for ways to improve customer experience on Elsevier.com.
We would like to ask you for a moment of your time to fill in a short questionnaire, at the end of your visit.
If you decide to participate, a new browser tab will open so you can complete the survey after you have completed your visit to this website.
Thanks in advance for your time.