Listing 1 - 10 of 15 | << page >> |
Sort by
|
Choose an application
Manufacturing is the backbone of any industrialized nation. Recent worldwide advances in manufacturing technologies have brought about a metamorphosis in industry. Fast-changing technologies on the product front have created a need for an equally fast response from manufacturing industries. To meet these challenges, manufacturing industries have to select appropriate manufacturing strategies, product designs, manufacturing processes, work piece and tool materials, and machinery and equipment. The selection decisions are complex, as decision making is more challenging today. Decision makers in the manufacturing sector frequently face the problem of assessing a wide range of options and selecting one based on a set of conflicting criteria. Decision Making in the Manufacturing Environment demonstrates how graph theory and matrix approach, and fuzzy multiple attribute decision making methods can be effectively used for decision making in various situations of the manufacturing environment. Divided into two parts; Part I introduces the decision making situations in the manufacturing environment and presents decision making methods; Part II uses case studies to present the applications of these methods in real manufacturing situations. Decision Making in the Manufacturing Environment will be very useful to decision makers in the manufacturing sector as it makes decision making easier, more logical, systematic, efficient and effective. It is intended for designers, manufacturing engineers, practitioners, managers, institutes involved in design and manufacturing related projects, applied research workers, academics, and graduate students in mechanical, industrial, and manufacturing engineering.
Production management --- Graph theory. --- Fuzzy decision making. --- Multiple criteria decision making. --- Decision making. --- Decision making with multiple objectives --- MCDM (Decision making) --- Multiattribute decisions --- Multicriteria decision analysis --- Multicriteria decision making --- Multicriteria decision making analysis --- Multiobjective decision making --- Multiple objective decision making --- Decision making --- Fuzzy mathematics --- Graph theory --- Graphs, Theory of --- Theory of graphs --- Combinatorial analysis --- Topology --- Manufacturing management --- Industrial management --- Extremal problems --- Production management. --- Manufactures. --- Engineering economy. --- Operations research. --- System theory. --- Operations Management. --- Manufacturing, Machines, Tools, Processes. --- Engineering Economics, Organization, Logistics, Marketing. --- Operations Research/Decision Theory. --- Systems Theory, Control. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Economy, Engineering --- Engineering economics --- Manufactured goods --- Manufactured products --- Products --- Products, Manufactured --- Commercial products --- Manufacturing industries --- Systems, Theory of --- Systems science --- Science --- Philosophy --- Systems theory. --- Engineering economics. --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving
Choose an application
Describing a new optimization algorithm, the “Teaching-Learning-Based Optimization (TLBO),” in a clear and lucid style, this book maximizes reader insights into how the TLBO algorithm can be used to solve continuous and discrete optimization problems involving single or multiple objectives. As the algorithm operates on the principle of teaching and learning, where teachers influence the quality of learners’ results, the elitist version of TLBO algorithm (ETLBO) is described along with applications of the TLBO algorithm in the fields of electrical engineering, mechanical design, thermal engineering, manufacturing engineering, civil engineering, structural engineering, computer engineering, electronics engineering, physics and biotechnology. The book offers a valuable resource for scientists, engineers and practitioners involved in the development and usage of advanced optimization algorithms.
Civil Engineering --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Computer algorithms. --- Machine learning. --- Learning, Machine --- Artificial intelligence --- Machine theory --- Algorithms --- Engineering design. --- Computer aided design. --- Computer science. --- Engineering Design. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Computational Science and Engineering. --- Informatics --- Science --- CAD (Computer-aided design) --- Computer-assisted design --- Computer-aided engineering --- Design --- Design, Engineering --- Engineering --- Industrial design --- Strains and stresses --- Computer-aided engineering. --- Computer mathematics. --- Computer mathematics --- Electronic data processing --- Mathematics --- CAE --- Data processing
Choose an application
Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods presents the concepts and details of applications of MADM methods. A range of methods are covered including Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VIšekriterijumsko KOmpromisno Rangiranje (VIKOR), Data Envelopment Analysis (DEA), Preference Ranking METHod for Enrichment Evaluations (PROMETHEE), ELimination Et Choix Traduisant la Realité (ELECTRE), COmplex PRoportional ASsessment (COPRAS), Grey Relational Analysis (GRA), UTility Additive (UTA), and Ordered Weighted Averaging (OWA). The existing MADM methods are improved upon and three novel multiple attribute decision making methods for solving the decision making problems of the manufacturing environment are proposed. The concept of integrated weights is introduced in the proposed subjective and objective integrated weights (SOIW) method and the weighted Euclidean distance based approach (WEDBA) to consider both the decision maker’s subjective preferences as well as the distribution of the attributes data of the decision matrix. These methods, which use fuzzy logic to convert the qualitative attributes into the quantitative attributes, are supported by various real-world application examples. Also, computer codes for AHP, TOPSIS, DEA, PROMETHEE, ELECTRE, COPRAS, and SOIW methods are included. This comprehensive coverage makes Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods a key reference for the designers, manufacturing engineers, practitioners, managers, institutes involved in both design and manufacturing related projects. It is also an ideal study resource for applied research workers, academicians, and students in mechanical and industrial engineering.
Fuzzy decision making. --- Graph theory. --- Multiple criteria decision making. --- Production management -- Decision making. --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Civil Engineering --- Production management --- Decision making. --- Decision making with multiple objectives --- MCDM (Decision making) --- Multiattribute decisions --- Multicriteria decision analysis --- Multicriteria decision making --- Multicriteria decision making analysis --- Multiobjective decision making --- Multiple objective decision making --- Graph theory --- Graphs, Theory of --- Theory of graphs --- Manufacturing management --- Extremal problems --- Engineering. --- Operations research. --- Engineering economics. --- Engineering economy. --- Manufacturing industries. --- Machines. --- Tools. --- Engineering Economics, Organization, Logistics, Marketing. --- Manufacturing, Machines, Tools. --- Operation Research/Decision Theory. --- Decision making --- Fuzzy mathematics --- Combinatorial analysis --- Topology --- Industrial management --- Manufactures. --- Manufacturing, Machines, Tools, Processes. --- Operations Research/Decision Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Manufactured goods --- Manufactured products --- Products --- Products, Manufactured --- Commercial products --- Manufacturing industries --- Economy, Engineering --- Engineering economics --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving
Choose an application
Industrial economics --- Operational research. Game theory --- Engineering sciences. Technology --- Plant and equipment --- Production management --- systeemtheorie --- speltheorie --- operationeel onderzoek --- systeembeheer --- industriële marketing --- machines --- ingenieurswetenschappen
Choose an application
Choose an application
Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods presents the concepts and details of applications of MADM methods. A range of methods are covered including Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VIšekriterijumsko KOmpromisno Rangiranje (VIKOR), Data Envelopment Analysis (DEA), Preference Ranking METHod for Enrichment Evaluations (PROMETHEE), ELimination Et Choix Traduisant la Realité (ELECTRE), COmplex PRoportional ASsessment (COPRAS), Grey Relational Analysis (GRA), UTility Additive (UTA), and Ordered Weighted Averaging (OWA). The existing MADM methods are improved upon and three novel multiple attribute decision making methods for solving the decision making problems of the manufacturing environment are proposed. The concept of integrated weights is introduced in the proposed subjective and objective integrated weights (SOIW) method and the weighted Euclidean distance based approach (WEDBA) to consider both the decision maker’s subjective preferences as well as the distribution of the attributes data of the decision matrix. These methods, which use fuzzy logic to convert the qualitative attributes into the quantitative attributes, are supported by various real-world application examples. Also, computer codes for AHP, TOPSIS, DEA, PROMETHEE, ELECTRE, COPRAS, and SOIW methods are included. This comprehensive coverage makes Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods a key reference for the designers, manufacturing engineers, practitioners, managers, institutes involved in both design and manufacturing related projects. It is also an ideal study resource for applied research workers, academicians, and students in mechanical and industrial engineering.
Industrial economics --- Operational research. Game theory --- Mathematical statistics --- Machine elements --- Applied physical engineering --- Planning (firm) --- Plant and equipment --- Production management --- mathematische modellen --- productie --- econometrie --- operationeel onderzoek --- industriële marketing --- machines --- ingenieurswetenschappen
Choose an application
Describing a new optimization algorithm, the “Teaching-Learning-Based Optimization (TLBO),” in a clear and lucid style, this book maximizes reader insights into how the TLBO algorithm can be used to solve continuous and discrete optimization problems involving single or multiple objectives. As the algorithm operates on the principle of teaching and learning, where teachers influence the quality of learners’ results, the elitist version of TLBO algorithm (ETLBO) is described along with applications of the TLBO algorithm in the fields of electrical engineering, mechanical design, thermal engineering, manufacturing engineering, civil engineering, structural engineering, computer engineering, electronics engineering, physics and biotechnology. The book offers a valuable resource for scientists, engineers and practitioners involved in the development and usage of advanced optimization algorithms.
Mathematics --- Materials sciences --- Applied physical engineering --- Production management --- Computer science --- Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- DFMA (design for manufacture and assembly) --- computers --- informatica --- biotechnologie --- informaticaonderzoek --- ingenieurswetenschappen --- CAD (computer aided design)
Choose an application
This book comprises peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2022. The book combines contributions from academics and industry professionals and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, automobile, electrical, chemical, computer, and electronics engineering. The book discusses different optimization techniques and algorithms such as genetic algorithm, non-dominated sorting genetic algorithm-II, and III, differential search, particle swarm optimization, fruit fly algorithm, cuckoo search, teaching–learning-based optimization algorithm, grey wolf optimization, Jaya algorithm, Rao algorithms, and many other latest meta-heuristic techniques and their applications. Various multi-attribute decision-making methods such as AHP, TOPSIS, ELECTRE, PROMETHEE, DEMATEL, R-method, fuzzy logic, and their applications are also discussed. This book serves as a valuable reference for students, researchers, and practitioners and helps them in solving a wide range of optimization problems.
Computational intelligence. --- Artificial intelligence. --- Control engineering. --- Robotics. --- Automation. --- Computational Intelligence. --- Artificial Intelligence. --- Control, Robotics, Automation. --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Industrial engineering --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Robotics --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Mathematical optimization --- Engineering applications --- Data processing --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- System analysis
Choose an application
This book offers a compendium of diverse essays on emerging legal issues in outer space, written by experts in the field of Space Law from different parts of the globe. The book comprehensively addresses opportunities in space and the inevitable legal challenges that these space activities pose for mankind. It explores the increasing role of private sector in outer space, which calls for a review of policy and legislation; invites opinio juris from law scholars for ensuring the applicability of the Outer Space Treaty on all states without ratification and universal abidance with Space Law without demur; reflects upon the challenges for the global space community involved in implementing a more effective approach to international space governance; and considers the use of domestic laws, and the consequent need for legal reform, to encourage broader engagement with commercial space innovation. Further, the book delves into the adequacy of existing international liability regime to protect space tourists in the event of a space vehicle accidents; examines the increasing use of space for military activities and canvasses how International Law may apply to condition behaviour; highlights the challenges of scavenging space debris; calls for protections of space assets; touches upon the legal regime pertaining to ASAT and discusses other ways of creating normative instruments, which also come from other areas and use other methods. Given its comprehensive coverage of opportunities in space and the inevitable legal challenges that they pose, the book offers a valuable resource for students, researchers, academics and professionals including government officials, industry executives, specialists, and lawyers, helping them understand essential contemporary issues and developments in Space Law.
Space law. --- Aerospace law --- Astronautics --- Space flight --- International law --- Aeronautics --- Law and legislation --- Mediation. --- Dispute resolution (Law). --- Conflict management. --- Law of the Sea, Air and Outer Space. --- Dispute Resolution, Mediation, Arbitration. --- Private International Law, International & Foreign Law, Comparative Law . --- Conflict control --- Conflict resolution --- Dispute settlement --- Management of conflict --- Managing conflict --- Management --- Negotiation --- Problem solving --- Social conflict --- Crisis management --- ADR (Dispute resolution) --- Alternative dispute resolution --- Appropriate dispute resolution --- Collaborative law --- Dispute processing --- Justice, Administration of --- Mediation --- Neighborhood justice centers --- Third parties (Law) --- Good offices (Mediation) --- Conflict management --- Dispute resolution (Law) --- Law of the sea. --- International law. --- Private international law. --- Conflict of laws. --- Choice of law --- Conflict of laws --- Intermunicipal law --- International law, Private --- International private law --- Private international law --- Law --- Legal polycentricity --- Law of nations --- Nations, Law of --- Public international law --- High seas, Jurisdiction over --- Marine law --- Ocean --- Ocean law --- Sea, Law of the --- Maritime law --- Territorial waters --- Civil law
Choose an application
Mechanical design includes an optimization process in which designers always consider objectives such as strength, deflection, weight, wear, corrosion, etc. depending on the requirements. However, design optimization for a complete mechanical assembly leads to a complicated objective function with a large number of design variables. It is a good practice to apply optimization techniques for individual components or intermediate assemblies than a complete assembly. Analytical or numerical methods for calculating the extreme values of a function may perform well in many practical cases, but may fail in more complex design situations. In real design problems, the number of design parameters can be very large and their influence on the value to be optimized (the goal function) can be very complicated, having nonlinear character. In these complex cases, advanced optimization algorithms offer solutions to the problems, because they find a solution near to the global optimum within reasonable time and computational costs. Mechanical Design Optimization Using Advanced Optimization Techniques presents a comprehensive review on latest research and development trends for design optimization of mechanical elements and devices. Using examples of various mechanical elements and devices, the possibilities for design optimization with advanced optimization techniques are demonstrated. Basic and advanced concepts of traditional and advanced optimization techniques are presented, along with real case studies, results of applications of the proposed techniques, and the best optimization strategies to achieve best performance are highlighted. Furthermore, a novel advanced optimization method named teaching-learning-based optimization (TLBO) is presented in this book and this method shows better performance with less computational effort for the large scale problems. Mechanical Design Optimization Using Advanced Optimization Techniques will be useful to the industrial product designers for realizing a product as it presents new models and optimization techniques to make tasks easier, logical, efficient and effective. The book is intended for designers, practitioners, managers, institutes involved in design related projects, applied research workers, academics, and graduate students in mechanical and industrial engineering.
Machine design. --- Mathematical optimization. --- Machinery, Dynamics of. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Machinery --- Design --- Design and construction --- Engineering. --- Algorithms. --- Computational intelligence. --- Engineering design. --- Industrial engineering. --- Production engineering. --- Engineering Design. --- Industrial and Production Engineering. --- Computational Intelligence. --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Mechanical engineering --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Design, Engineering --- Industrial design --- Strains and stresses --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Algorism --- Algebra --- Arithmetic --- Construction --- Industrial arts --- Technology --- Foundations --- Dynamics --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Engineering design
Listing 1 - 10 of 15 | << page >> |
Sort by
|