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OPERATIONS RESEARCH METHODS
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Business managements make daily decisions on many issues, such as how much and where to produce, for which market, what prices to set, and how much stock to keep. Mathematical models can help to make the best decisions, among the possible alternatives.
The objective of this book is to present a survey of selected Operations Research methods, and some of their applications to managerial decision making, concerning production, inventory, distribution, and integrated supply chain modelling. Also included are listing of some computer programs to compute operations research models.1
Operations Research (O.R.) has been termed The Science of Better. A problem in the real world is modelled, usually in mathematical terms, then mathematical techniques, together with data analysis and computational algorithms, are applied, in order to find ways to do the job better. The word Operations derives from the many successful applications of O.R. to military operations in the 1940s. But, since then, most O.R. applications have been to peaceful activities, especially to business management, of which planning industrial production, and scheduling airlines, and other transportation, have been prominent. The name Management Science denotes the same discipline, with some emphasis on business management. Practitioners of Operations Management will find many of these techniques relevant. The areas of Logistics, Supply Chain Management, Decision Sciences, and Manufacturing Management deal with similar applications
B. D. CRAVEN AND S. M. N. ISLAM - Personal Name
1st Edtion
NONE
OPERATIONS RESEARCH METHODS
Management
English
2005
USA
1-52
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