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

Due to the increasing awareness of environmental and social issues, sustainable supplier selection becomes an important problem. The aim of this paper is to develop a novel group decision making sustainable supplier selection approach using extended Techniques for Order Preferences by Similarity to Ideal Solution (TOPSIS) under interval-valued Pythagorean fuzzy environment. Sustainable supplier selection often involves uncertain information due to the subjective nature of human judgments, and the interval-valued Pythagorean fuzzy set (IVPFS) has great ability to address strong fuzziness, ambiguity and inexactness during the decision-making process. The first contribution of this research is to use the IVPFS to capture the uncertain information of decision makers. Moreover, sustainable supplier selection often involves multiple decision makers from different groups. The second contribution of this research is to develop a group decision making approach for sustainable supplier selection. TOPSIS is the most commonly used technique in sustainable supplier selection. The third contribution of this research is to propose an extended TOPSIS method by integrating distance and similarity between alternatives concurrently to evaluate performances of suppliers. In this research, the group decision making approach and extended TOPSIS method is also extended to IVPFSs. Finally, experiments are conducted to verify the feasibility and efficiency of the proposed sustainable supplier selection approach. Experiments results show that the proposed approach is effective and efficient to help decision makers to select optimal sustainable suppliers. Therefore, the proposed approach can be applied by managers to evaluate and determine appropriate suppliers in sustainable supplier selection process.

A group decision making sustainable supplier selection approach using extended TOPSIS under interval-valued Pythagorean fuzzy environment

This paper provides a literature review on zero defect manufacturing based on the content analysis performed for 280 research articles published from 1987 to 2018 in a variety of academic journals ...

Zero defect manufacturing: state-of-the-art review, shortcomings and future directions in research

The background and main idea of Vendor-managed Inventory are introduced and the process to implement VMI and the developing trend of VMI are described.

Vendor-managed Inventory in Supply Chain

This chapter presents a summary of the issues discussed during the one day workshop on “Support Vector Machines (SVM) Theory and Applications” organized as part of the Advanced Course on Artificial Intelligence (ACAI ’99) in Chania, Greece [19]. The goal of the chapter is twofold: to present an overview of the background theory and current understanding of SVM, and to discuss the papers presented as well as the issues that arose during the workshop.

Support vector machines: Theory and applications

Development of sustainable supplier selection index for new product development using multi criteria decision making

Correlation analysis of the variation of weld seam and tensile strength in laser welding of galvanized steel

Towards fuzzy preference relationship based on decision making approach to access the performance of suppliers in environmental conscious manufacturing domain

Optimizing supply chain network for perishable products using improved bacteria foraging algorithm

Ultrasonic testing uses high frequency sound waves of a range between 0.5 to 15 MHz to conduct testing. The basic principle and applications of ultrasonic testing techniques is enormous use under the domain of mechanical engineering applications. Importance of ultrasonic testing of rails, train wheels, carbon fiber reinforced plastic, aeronautical defects in composite structures, testing of welds, and some other applications are increasing day by day. Literature survey reveals that it is a challenging task for practitioners and researchers to increase the efficiency of non-destructive testing techniques for identifying and localization defects in different mechanical engineering components/parts. Basic fundamentals applications of ultrasonic testing of metal, non-metal, ceramics, polymers, concrete, etc. are briefly explained.  Present and future perspective of ultrasonic testing for mechanical engineering domain are discussed along with the sub new development in the area of ultrasonic testing.

http://www.riejournal.com/article_57275_526b7570899cddc0be2587ddcf1ab9f0.pdf

Amit Kumar Sinha

Papers

Development of sustainable supplier selection index for new product development using multi criteria decision making

Correlation analysis of the variation of weld seam and tensile strength in laser welding of galvanized steel

Towards fuzzy preference relationship based on decision making approach to access the performance of suppliers in environmental conscious manufacturing domain

Optimizing supply chain network for perishable products using improved bacteria foraging algorithm

Ultrasonic testing for mechanical engineering domain: present and future perspective