Download or read book Principles of Operations Management written by Jay H. Heizer and published by Pearson Educación. This book was released on 2004 with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this textbook, Heizer (business administration, Texas Lutheran U.) and Render (operations management, Rollins College) provide a broad introduction to the field of operations management. A sampling of topics includes operations strategy for competitive advantage, forecasting, design of goods and services, human resources, e- commerce, project management, inventory management, and maintenance. The CD-ROM contains video case studies, lecture notes, Excel OM and Extend software, and additional practice problems. Annotation copyrighted by Book News Inc., Portland, OR
Download or read book Mathematical Analysis for Business Economics and the Life and Social Sciences written by Jagdish C. Arya and published by Pearson Educación. This book was released on 1993 with total page 852 pages. Available in PDF, EPUB and Kindle. Book excerpt: With an emphasis on techniques, this volume focuses on the applications of basic mathematics and differential and integral calculus in the field of business, economics and the life and social sciences. All mathematical theorems, proofs and concepts are described intuitively and then mathematically. Reorganized and rewritten material includes chapters on exponentials and logarithms, curve sketching and optimization, application sections of straight lines and quadratic inequalities. A new section on difference equations and expanded coverage of differential equations is included.
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Download or read book Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty written by Shi-Yu Huang and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Operations Research is a field whose major contribution has been to propose a rigorous fonnulation of often ill-defmed problems pertaining to the organization or the design of large scale systems, such as resource allocation problems, scheduling and the like. While this effort did help a lot in understanding the nature of these problems, the mathematical models have proved only partially satisfactory due to the difficulty in gathering precise data, and in formulating objective functions that reflect the multi-faceted notion of optimal solution according to human experts. In this respect linear programming is a typical example of impressive achievement of Operations Research, that in its detenninistic fonn is not always adapted to real world decision-making : everything must be expressed in tenns of linear constraints ; yet the coefficients that appear in these constraints may not be so well-defined, either because their value depends upon other parameters (not accounted for in the model) or because they cannot be precisely assessed, and only qualitative estimates of these coefficients are available. Similarly the best solution to a linear programming problem may be more a matter of compromise between various criteria rather than just minimizing or maximizing a linear objective function. Lastly the constraints, expressed by equalities or inequalities between linear expressions, are often softer in reality that what their mathematical expression might let us believe, and infeasibility as detected by the linear programming techniques can often been coped with by making trade-offs with the real world.
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