Mathematical Programming by Kenneth D. Lawrence (English) Hardcover Book

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Part of an annual series dedicated to the discussion of the studies in the application of management science to the solution of significant managerial decision making problems. This volume deals with the applications of mathematical programming to Multi-criteria decision making, Supply chain management, Performance management, and Risk analysis.

FORMATHardcover LANGUAGEEnglish CONDITIONBrand New Publisher Description

This peer reviewed volume is part of an annual series, dedicated to the presentation and discussion of state of the art studies in the application of management science to the solution of significant managerial decision making problems. It is hoped that this research annual will significantly aid in the dissemination of actual applications of management science in both the public and private sectors. Volume 11 is directed toward the applications of mathematical programming to Multi-criteria decision making, Supply chain management, Performance management, and Risk analysis. Its use can be found both in university classes in management science and operations research, (management and engineering schools), as well as to both the researcher and practitioner of management science and operations research.

Author Biography

DAVID P. LAWRENCE, PhD, has been an EIA practitioner for more than twenty-five years and is currently President of Lawrence Environmental. He is also a member of the Planning Institute of British Columbia, the International Association for Impact Assessment, and the National Association of Environmental Professionals.

Table of Contents

Multicriteria Decision Making Applications. A Multiple Criteria Decision Model for Portfolio Allocation for the Individual Investor. (K. Hogan, G. Olsen). A Multi-Objective Model for Renewable Warranty Price. (A. Mitra, J. Patankar). Equity Allocation Analysis in Retirement Planning: A Multi-Objective Mathematical Programming Approach. (A. M. Schniederjans, M. J. Schniederjans). A Multi-Criteria DEA Framework for Evaluating E-Commerce Efficiency. (K.D. Lawrence, R. Klimberg, S.M. Lawrence). Sales Planning in a Multi-Criteria Environment. (K.D. Lawrence et al.). Performance Measurement/Risk Management. Evaluating the Relative Efficiency of Railroad Operations Using Data Envelopment Analysis. (N.K. Kwak, Tae Sung Choi, S. Kim). Evaluating the Performance of Nursing Homes Using Data Envelopment Analysis. (M. Leonard et al.). Supporting Subjective Risk Management in Software Process Improvement - A Qualitative Discriminant Process. (K.M. Osei-Bryson, M.M.O Kah). A Simultaneous Approach to Capital Budgeting and Capital Rationing by Multi-Objective Programming. (D.G. Schniederjans, M. J Schniederjans). Supply Chain Management. Supply Chain and Logistics to Maintain Effective Customer Relationship Management in e-Business Industry. (N. K. Kwak, Chang W. Lee). The Allocation of Customers to Capacitate Primary and Secondary Warehouses: A Geometric Algorithm Approach. (G. Zhou, H. Min, Mitsuo Gen). A Mathematical Programming Approach to Analyze the Activity Based Costing Product Mix Decisions with Capacity Expansion. (Wen-Hsien Tsai, T. Lin). An Application of Game Theory and Multiple Objective Programming in Supply Chains through Franchising. (S. Li, Z. Huang, A. Ashly). Simulating the Supply Chain Performance by Game Theory. (Yah-Wen Chen, Yong-Yu Lia, M. Larbani).

Details ISBN0762310952 Series Applications of Management Science Language English ISBN-10 0762310952 ISBN-13 9780762310951 Media Book Format Hardcover Year 2004 DEWEY 658.4033 Edition 1st Imprint JAI Press Inc. Place of Publication Bingley Country of Publication United States Illustrations black & white illustrations Series Number 11 Edited by Kenneth D. Lawrence Short Title MATHEMATICAL PROGRAMMING V11 Pages 240 DOI 10.1604/9780762310951 AU Release Date 2004-05-29 NZ Release Date 2004-05-29 US Release Date 2004-05-29 UK Release Date 2004-05-29 Author Kenneth D. Lawrence Publisher Emerald Publishing Limited Publication Date 2004-05-29 Audience Professional & Vocational We've got this

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