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This book ties together history, legislation and economics to create an awareness of what chances an individual will have when he selects a location for a plant. Key costs are discussed including those mandated by the environment and by legislation. The impact of cultures, both past and present, upon the opportunity for economic success are reviewed. It is a ""How To"" and a ""Beware"" presentation of plant location, both domestic and international. The book is designed to provide chief executive officers, manufacturing vice presidents, chief engineers and engineers a checklist of things to do in analyzing a potential plant site. It is also designed to provide state and local industrial development staffs' guidance in their efforts to obtain industry. New entrepreneurs will find this book to be useful in making presentations to financial agencies. The do's and don'ts of plant location are dealt with from both the current and historical prospective. The impact of legislation upon manufacturing costs and thereby industry location is covered by both current and past examples. Examples of failed locations from both industry and site planners perspectives are provided. The book shows how to choose the best location in a country through arraying the basic economic and social facts in an orderly manner. Both tangible and intangible cost analysis and factor weighting are covered. Included are the impact of customs, legal systems, ways of doing business upon costs, management style and plant efficiency. Current legislation's potential impact upon plant location is evaluated. This review includes GATT, NAFT A, CBI and other international direct and indirect influences on markets and costs. Also the present and potential impact of OSHA, ADA, EPA and other national mandates is covered.
Written for plant breeders, researchers and post-graduate students, this excellent new book provides a comprehensive review of the methods and underlying theoretical foundations used for selection in plant breeding programs. The authors review basic elements of population and quantitative genetic theory, moving on to consider in a unique way the tackling of the problems presented by soil heterogeneity and intergenotypic competition when selecting quantitative characters.
This mono graph is intended for an advanced undergraduate or graduate course as weIl as for the researchers who want a compilation of developments in this rapidly growing field of operations research. This is a sequel to our previous work entitled "Multiple Objective Decision Making--Methods and Applications: A State-of-the-Art Survey," (No. 164 of the Lecture Notes). The literature on methods and applications of Multiple Attribute Decision Making (MADM) has been reviewed and classified systematically. This study provides readers with a capsule look into the existing methods, their char acteristics, and applicability to analysis of MADM problems. The basic MADM concepts are defined and a standard notation is introduced in Part 11. Also introduced are foundations such as models for MADM, trans formation of attributes, fuzzy decision rules, and methods for assessing weight. A system of classifying seventeen major MADM methods is presented. These methods have been proposed by researchers in diversified disciplines; half of them are classical ones, but the other half have appeared recently. The basic concept, the computational procedure, and the characteristics of each of these methods are presented concisely in Part 111. The computational procedure of each method is illustrated by solving a simple numerical example. Part IV of the survey deals with the applications of these MADM methods.
This edited volume includes all papers presented at the 22nd International Conference on Mine Planning and Equipment Selection (MPES), Dresden, Germany, 2013. Mineral Resources are needed for almost all processes of modern life, whilst the mining industry is facing strict requirements regarding efficiency and sustainability. The research papers in this volume deal with the latest developments and research results in the fields of mining, machinery, automatization and environment protection.
India dropped its target of generating 500 GW of renewable energy capacity from non responsibilities to ations Framework Convention on reducing carbon Abstract: India dropped its target of 500 GW of renewable energy capacity fossil fuel sources by 2030. Its responsibilities the United Nations Framework Conven Climate Change [UNFCCC],and reducing radiations by one billion tonnes by the end of the decade at the COP26 conference, held in Glasgow in November 2022.Researchers are continually searching for inexhaustible and reasonable energy sources. Solar energy is one of the greenest sources of energy and is also one of the cleanest. The most important factor in using solar energy is the location of the solar power plant. The main objective of this study is to find the best location for a new solar power plant in a specific region called Bundelkhand region of Uttar Pradesh in India. Here we offer an extension of ELECTRE III method as two-phase Pythagorean neutrosophic elimination and choice translating reality PN-ELECTRE-III) method to adapt with fuzzy, ambiguous, unsure, and indeterminate criteria. The Pythagorean neutrosophicnumbers [PNNs] used by the group decision support system og PN-ELECTRE III to measure performance of the alternatives. The options are entirely outclassed in the subsequent stage in view of the past stage's evaluations of them. By defining PNN we describe athe thechnique of indifference threshold functions, preference treshold and veto threshold functions, which provide a more stable basis to drop outranking relations. By calculating the concordance credibility, discordance credibility and net credibility degrees of each alternative, the ranking module of the PN-ELECTRE III approach is made simpler. In order to confirm the applicability of the strategy suggested in this paper, the location selection problem for solar plants is finnaly solved.
This book shows how graph theory and matrix approach, and fuzzy multiple attribute decision making methods can be used in manufacturing. It proposes a methodology that will make decision making in the manufacturing environment structured and systematic. The book uses case studies to present the applications of decision making methods in real manufacturing situations.
This volume constitutes the proceedings of the 8th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2013, held in Salamanca, Spain, in September 2013. The 68 papers published in this volume were carefully reviewed and selected from 218 submissions. They are organized in topical sessions on Agents and Multi Agents Systems; HAIS Applications; Classification and Cluster Analysis; Data Mining and Knowledge Discovery; Video and Image Analysis; Bio-inspired Models and Evolutionary Computation; Learning Algorithms; Systems, MAN, and Cybernetics; Hybrid Intelligent Systems for Data Mining and Applications; Metaheuristics for Combinatorial Optimization and Modelling Complex Systems.
This handbook is focused on the analytical dimension in researching ​international entrepreneurship. It offers a diverse collection of chapters focused on qualitative and quantitative methods that are being practised and can be used by future researchers in the field of international entrepreneurship. The qualitative cluster covers articles, conceptual and empirical chapters as well as literature reviews, whereas the quantitative cluster analyses international entrepreneurship through a broad range of statistical methods such as regressions, panel data, structural equation modelling as well as decision-making and optimisation models in certain and uncertain circumstances. This book is essential reading for researchers, scholars and practitioners who want to learn and implement new methods in analysing entrepreneurial opportunities across national borders.
This book intends to be a complimentary reference for graduate and undergraduate courses of Business and Engineering. Readers not familiar with Multi-Criteria Decision Making (MCDM) and supply chain management (SCM) may have a first glance, reading isolate chapters. Moreover, the sequential order from Chapters 1 to 8 may be more instructive. Readers with expertise on MCDM or SCM will find interesting applications or proposals. The book also presents a systematic literature review, which confirms the leadership of analytic hierarchy process (AHP) and data envelopment analysis (DEA).
This book gathers the most recent developments in fuzzy & intelligence systems and real complex systems presented at INFUS 2020, held in Istanbul on July 21–23, 2020. The INFUS conferences are a well-established international research forum to advance the foundations and applications of intelligent and fuzzy systems, computational intelligence, and soft computing, highlighting studies on fuzzy & intelligence systems and real complex systems at universities and international research institutions. Covering a range of topics, including the theory and applications of fuzzy set extensions such as intuitionistic fuzzy sets, hesitant fuzzy sets, spherical fuzzy sets, and fuzzy decision-making; machine learning; risk assessment; heuristics; and clustering, the book is a valuable resource for academics, M.Sc. and Ph.D. students, as well as managers and engineers in industry and the service sectors.