THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

The Design and Analysis of Experiments

According to W. Edwards Deming, American companies require nothing less than a transformation of management style and of governmental relations with industry. In Out of the Crisis, originally published in 1982, Deming offers a theory of management based on his famous 14 Points for Management. Management's failure to plan for the future, he claims, brings about loss of market, which brings about loss of jobs. Management must be judged not only by the quarterly dividend, but by innovative plans to stay in business, protect investment, ensure future dividends, and provide more jobs through improved product and service. In simple, direct language, he explains the principles of management transformation and how to apply them.

Out of the Crisis

List of Figures. List of Tables. Preface. Foreword. 1. Basic Concepts. 2. Evolutionary Algorithm MOP Approaches. 3. MOEA Test Suites. 4. MOEA Testing and Analysis. 5. MOEA Theory and Issues. 3. MOEA Theoretical Issues. 6. Applications. 7. MOEA Parallelization. 8. Multi-Criteria Decision Making. 9. Special Topics. 10. Epilog. Appendix A: MOEA Classification and Technique Analysis. Appendix B: MOPs in the Literature. Appendix C: Ptrue & PFtrue for Selected Numeric MOPs. Appendix D: Ptrue & PFtrue for Side-Constrained MOPs. Appendix E: MOEA Software Availability. Appendix F: MOEA-Related Information. Index. References.

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Evolutionary algorithms for solving multi-objective problems

行銷硏究 : Marketing research

Economic Control of Quality of Manufactured Product.

Total Quality Management (TQM) is an integrative management philosophy aimed at continuously improving the quality of products and processes to achieve customer satisfaction. The TQM literature is replete with practitioner oriented 'do-everything-right' articles and case studies. There is no complete agreement on operating system elements of TQM. The objective of this paper is to describe an empirical research on the development of an instrument for TQM implementation in business units in India. Through a detailed analysis of the literature, this research identified 150 measures of quality management. After a pre-test, 111 measures were used to develop a questionnaire. These items were empirically tested by data collected from 50 respondents. A factor analysis uncovered ten underlying dimensions of TQM with a total of 106 items. These factors and items were found to be reliable and valid.

An instrument for measuring total quality management implementation in manufacturing-based business units in India

An efficient heuristic approach to the scheduling of jobs in a flowshop

Purpose – The purpose of this paper is to determine the dimensions of service quality in Indian hospitals, from the perspectives of patients and their family members/friends (referred to as “attendants”).Design/methodology/approach – Based on the existing models and the literature on healthcare services, a framework is proposed to conceptualize and measure hospital service quality.Findings – Two instruments for measuring the dimensions of hospital service quality, one each from the perspective of patients and attendants, are proposed.Practical implications – This framework enables hospital managers to understand how patients and their attendants evaluate the quality of healthcare provided in respect of every dimension. A comparison of perceptions between patients and attendants would aid them to allocate resources to various aspects of healthcare, with respect to these two customer groups. Hospital administrators can use the instruments proposed to obtain feedback on their performance on service quality p...

A conceptual framework of service quality in healthcare

The problem of scheduling in flowshop and flowline-based cellular manufacturing systems (CMS) is considered with the objectives of minimizing makespan, total flowtime and machine idletime. We first discuss the formulation of time-tabling in a flowline-based CMS. A genetic algorithm is then presented for scheduling in a flowshop. The proposed genetic algorithm is compared with the existing multi-criterion heuristic, and results of the computational evaluation are presented. We introduce some modifications in the heuristic seed sequences, while using them to initialize subpopulations in the algorithm for scheduling in a flowline-based CMS. The proposed algorithm is also found to perform well for scheduling in a flowline-based CMS.

Chandrasekharan Rajendran

Papers

An instrument for measuring total quality management implementation in manufacturing-based business units in India

An efficient heuristic approach to the scheduling of jobs in a flowshop

A conceptual framework of service quality in healthcare

Scheduling in flowshop and cellular manufacturing systems with multiple objectives— a genetic algorithmic approach

Heuristic algorithms for scheduling in the no-wait flowshop