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Sustainable industrial engineering addresses the sustainability issue from economic, environmental, and social points of view. Its application fields are the whole value chain and lifecycle of products/services, from the development to the end-of-life stages. This book aims to address many of the challenges faced by industrial organizations and supply chains to become more sustainable through reinventing their processes and practices, by continuously incorporating sustainability guidelines and practices in their decisions, such as circular economy, collaboration with suppliers and customers, using information technologies and systems, tracking their products’ life-cycle, using optimization methods to reduce resource use, and to apply new management paradigms to help mitigate many of the wastes that exist across organizations and supply chains. This book will be of interest to the fast-growing body of academics studying and researching sustainability, as well as to industry managers involved in sustainability management.

Technology: general issues --- information and communication technologies --- green supply chain --- update and sustainable --- sustainability --- green degree --- game model --- sustainable supplier selection --- DEMATEL --- ANP --- fuzzy VIKOR --- IVTFN --- hybrid information aggregation --- TBL theory --- energy intensity --- income --- education --- eco-efficiency --- circular economy --- equipment development task --- foreseeable rework --- hidden rework --- uncertainty --- complexity --- blockchain --- supply chain --- use cases --- applications --- quality level --- reliability demonstration test --- Bayesian approach --- conjugacy --- beta-binomial distribution --- sequential sampling --- one-shot devices --- finite population --- express delivery service --- last mile delivery --- pricing --- collaboration --- market share --- reverse supply chain --- collection strategy --- waste mobile phones --- evolutionary game theory --- evolution mechanism --- reward-penalty mechanism --- ammunition incineration --- down-cycling --- energetic material recycling --- industrial ecology --- life-cycle assessment --- cap-and-trade --- production --- carbon emissions reduction --- consumers’ environmental preferences --- newsvendor model --- Lean Manufacturing --- Industry 4.0 --- economic --- environmental --- and social --- structure equations modeling --- sustainable global supply chain --- single- and multi-objective optimization method --- sustainability design constraint --- software application --- real case study --- pulp and paper industry --- comparative index --- cross-country analysis --- JIT implementation --- suppliers in JIT --- operational benefits --- human factor in JIT --- material flow --- structural equation model --- carbon credit --- environmental cost accounting --- pyrolysis --- solid waste --- vendor selection --- product life cycle --- multi-objective linear programming --- multi-choice goal programming --- additive manufacturing --- social change --- social impacts --- 3D printing --- rapid prototyping --- recycling investment strategy --- demand uncertainty --- Stochastic nonlinear Programming --- Monte-Carlo based sample average approximation method --- memetic algorithm --- industrial symbiosis --- potential industrial symbiosis --- eco-industrial parks --- sustainable supply chain management --- research methods --- scientific production --- metrics --- indicators

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Sustainable industrial engineering addresses the sustainability issue from economic, environmental, and social points of view. Its application fields are the whole value chain and lifecycle of products/services, from the development to the end-of-life stages. This book aims to address many of the challenges faced by industrial organizations and supply chains to become more sustainable through reinventing their processes and practices, by continuously incorporating sustainability guidelines and practices in their decisions, such as circular economy, collaboration with suppliers and customers, using information technologies and systems, tracking their products’ life-cycle, using optimization methods to reduce resource use, and to apply new management paradigms to help mitigate many of the wastes that exist across organizations and supply chains. This book will be of interest to the fast-growing body of academics studying and researching sustainability, as well as to industry managers involved in sustainability management.

Technology: general issues --- information and communication technologies --- green supply chain --- update and sustainable --- sustainability --- green degree --- game model --- sustainable supplier selection --- DEMATEL --- ANP --- fuzzy VIKOR --- IVTFN --- hybrid information aggregation --- TBL theory --- energy intensity --- income --- education --- eco-efficiency --- circular economy --- equipment development task --- foreseeable rework --- hidden rework --- uncertainty --- complexity --- blockchain --- supply chain --- use cases --- applications --- quality level --- reliability demonstration test --- Bayesian approach --- conjugacy --- beta-binomial distribution --- sequential sampling --- one-shot devices --- finite population --- express delivery service --- last mile delivery --- pricing --- collaboration --- market share --- reverse supply chain --- collection strategy --- waste mobile phones --- evolutionary game theory --- evolution mechanism --- reward-penalty mechanism --- ammunition incineration --- down-cycling --- energetic material recycling --- industrial ecology --- life-cycle assessment --- cap-and-trade --- production --- carbon emissions reduction --- consumers’ environmental preferences --- newsvendor model --- Lean Manufacturing --- Industry 4.0 --- economic --- environmental --- and social --- structure equations modeling --- sustainable global supply chain --- single- and multi-objective optimization method --- sustainability design constraint --- software application --- real case study --- pulp and paper industry --- comparative index --- cross-country analysis --- JIT implementation --- suppliers in JIT --- operational benefits --- human factor in JIT --- material flow --- structural equation model --- carbon credit --- environmental cost accounting --- pyrolysis --- solid waste --- vendor selection --- product life cycle --- multi-objective linear programming --- multi-choice goal programming --- additive manufacturing --- social change --- social impacts --- 3D printing --- rapid prototyping --- recycling investment strategy --- demand uncertainty --- Stochastic nonlinear Programming --- Monte-Carlo based sample average approximation method --- memetic algorithm --- industrial symbiosis --- potential industrial symbiosis --- eco-industrial parks --- sustainable supply chain management --- research methods --- scientific production --- metrics --- indicators

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Most real-world search and optimization problems naturally involve multiple criteria as objectives. Generally, symmetry, asymmetry, and anti-symmetry are basic characteristics of binary relationships used when modeling optimization problems. Moreover, the notion of symmetry has appeared in many articles about uncertainty theories that are employed in multi-criteria problems. Different solutions may produce trade-offs (conflicting scenarios) among different objectives. A better solution with respect to one objective may compromise other objectives. There are various factors that need to be considered to address the problems in multidisciplinary research, which is critical for the overall sustainability of human development and activity. In this regard, in recent decades, decision-making theory has been the subject of intense research activities due to its wide applications in different areas. The decision-making theory approach has become an important means to provide real-time solutions to uncertainty problems. Theories such as probability theory, fuzzy set theory, type-2 fuzzy set theory, rough set, and uncertainty theory, available in the existing literature, deal with such uncertainties. Nevertheless, the uncertain multi-criteria characteristics in such problems have not yet been explored in depth, and there is much left to be achieved in this direction. Hence, different mathematical models of real-life multi-criteria optimization problems can be developed in various uncertain frameworks with special emphasis on optimization problems.

Information technology industries --- multiple-criteria decision-making --- underground mines --- mining methods --- expert knowledge --- failure mode and effects analysis --- solar panel systems --- step-wise weight assessment ratio analysis --- grey relational analysis --- Z-number theory --- B2C e-commerce factors --- website --- MCDM --- Fuzzy AHP --- TOPSIS-Grey --- China --- IoT --- platform selection --- multi criteria decision analysis (MCDA) --- AHP --- PROMETHEE-II --- Industry 4.0 --- data envelopment analysis --- conjoint analysis --- experimental design --- criteria importance --- weight restrictions --- subjective and objective teacher efficiency --- multi-objective planning --- reverse supply chain --- robust optimization --- uncertainty --- meta-heuristic algorithm --- steel making industry --- fuzzy PIPRECIA --- fuzzy EDAS --- railway --- multi-criteria decision-making --- transport policy --- Six Sigma (6σ) --- DMAIC --- vehicle fleet --- optimization --- text mining --- Multi-Attribute Decision Making (MADM), criteria selection --- weighting --- Prospective MADM --- Latent Semantic Analysis (LSA) --- SIMUS --- decision tree --- transport plan --- Laplace’s criterion --- Hurwitz’s criterion --- q-rung orthopair fuzzy numbers --- q-rung orthopair fuzzy prioritized weighted average operator --- q-rung orthopair fuzzy prioritized weighted geometric operator --- green supply chain management --- fuzzy theory --- sustainable development --- SCOR model --- FAHP --- PROMETHEE II --- textile and garments industry --- sustainable supplier selection --- MCDA --- efficiency --- DEA --- SFA --- classification --- dimensionality reduction --- q-ROFNs --- Einstein operators --- prioritized aggregation operators --- multi-criteria group decision making --- hazardous materials --- vehicle route model (VRP) --- uncertainty theory --- chance constrained programming model --- hybrid intelligent algorithm --- linear Diophantine fuzzy set --- linear Diophantine fuzzy soft rough set --- soft rough linear Diophantine fuzzy set --- upper reduct and lower reduct --- core set --- multi-criteria decision making --- q-Rung orthopair fuzzy sets --- geometric aggregation operators based on generalized and group-generalized parameters --- water loss management --- decision making --- intuitionistic fuzzy sets --- the COMET method --- service quality --- fuzzy set --- Jensen–Shannon divergence --- shapley function --- TODIM --- port-hinterland transportation system --- bi-objective programming --- intermodal transportation --- carbon emissions --- uncertain demand --- distributionally robust --- chance constraint --- Yangtze River Economic Belt --- multi-criteria decision-analysis --- MCDA benchmark --- normalization --- entropy --- decision-making methods --- multi-criteria problems --- evolutionary algorithms --- machine learning --- fuzzy logic --- uncertain data --- consistency weights --- fuzzy preference relation (FPR) --- hesitant fuzzy preference relation (HFPR) --- Łukasiewicz consistency --- normal hesitant fuzzy preference relation (NHFPR) --- multiple criteria decision-making (MCDM) --- outsourcing provider --- DEMATEL --- CRITIC --- TOPSIS --- comparison measure --- representation --- disjoint --- multiplicative preference relation (MPR) --- group decision-making (GDM) --- incomplete fuzzy preference relation (IFPR) --- TL-consistency --- cubic m-polar fuzzy set --- Dombi’s operations --- cubic m-polar fuzzy aggregation operators with P-order (R-order) --- SIR technique --- complex networks --- social networks --- viral marketing --- information propagation --- crisp probability --- interval probability --- influence diagrams --- circuit breakers --- granular computing --- interval-valued --- intuitionistic fuzzy set --- multiple granulation --- ordered information system