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The purpose of this Special Issue is to investigate topics related to sustainability issues in the new era, especially in Industry 4.0 or other new manufacturing environments. Under Industry 4.0, there have been great changes with respect to production processes, production planning and control, quality assurance, internal control, cost determination, and other management issues. Moreover, it is expected that Industry 4.0 can create positive sustainability impacts along the whole value chain. There are three pillars of sustainability, including environmental sustainability, economic sustainability, and social sustainability. This Special Issue collects 15 sustainability-related papers from various industries that use various methods or models, such as mathematical programming, activity-based costing (ABC), material flow cost accounting, fuel consumption model, artificial intelligence (AI)-based fusion model, multi-attribute decision model (MADM), and so on. These papers are related to carbon emissions, carbon tax, Industry 4.0, economic sustainability, corporate social responsibility (CSR), etc. The research objects come from China, Taiwan, Thailand, Oman, Cyprus, Germany, Austria, and Portugal. Although the research presented in this Special Issue is not exhaustive, this Special Issue provides abundant, significant research related to environmental, economic, and social sustainability. Nevertheless, there still are many research topics that require our attention to solve problems of sustainability.

carbon reduction --- PID controller --- n/a --- time study --- VIKOR --- life cycle cost analysis (LCCA) --- Activity-Based Costing (ABC) --- LS-ARIMAXi-ECM model --- DANP (DEMATEL based ANP) --- multi-attribute decision model (MADM) --- artificial intelligence --- white noise --- OECD --- integrated mathematical programming --- Activity-Based Standard Costing (ABSC) --- qualitative-empirical study --- energy efficiency --- multi-attribute value theory (MAVT) --- e-commerce platform --- decision making trial and evaluation laboratory (DEMATEL) --- colored noise --- carbon tax policy --- material flow cost accounting --- Manufacturing Execution System (MES) --- cap & trade --- manufacturing sustainability --- sustainability --- OEE --- mathematical programming --- aluminum-alloy wheel industry --- sustainable development --- return policy --- small and medium enterprises --- decision making --- Enterprise Resource Planning (ERP) --- tire industry --- footwear industry --- carbon tax --- electrical appliances --- niche inheritance --- carbon emission --- social sustainability --- material handling systems --- small and medium-sized enterprises --- product-mix decision --- internal control --- economic growth --- active suspension --- Industry 4.0 --- corporate social responsibility --- greenhouse gas --- carbon emissions --- succession plan --- digital transformation --- corporate social responsibility (CSR) --- fuel consumption --- agent-based control architecture --- sustainability performance --- activity-based costing (ABC) --- corporate characteristics --- firm value --- industry 4.0 --- digital platforms --- ISO14051 --- theory of constraints (TOC) --- long- and short-term --- NSGAII --- CO2 emissions --- family capital --- green production --- industrial internet of things --- multi-objective optimization --- family business --- exogenous variables

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A topic of utmost importance in civil engineering is finding optimal solutions throughout the life cycle of buildings and infrastructural objects, including their design, manufacturing, use, and maintenance. Operational research, management science, and optimization methods provide a consistent and applicable groundwork for engineering decision-making. These topics have received the interest of researchers and, after a rigorous peer-review process, eight papers have been published in this Special Issue. The articles in this Printed Edition demonstrate how solutions in civil engineering, which bring economic, social, and environmental benefits, are obtained through a variety of methodologies and tools. Usually, decision-makers need to take into account not just a single criterion, but several different criteria and, therefore, multi-criteria decision-making (MCDM) approaches have been suggested for application in five of the published papers; the rest of the papers apply other research methods. Most approaches suggested decision models under uncertainty, proposing hybrid MCDM methods in combination with fuzzy or rough set theory, as well as D-numbers. The application areas of the proposed MCDM techniques mainly cover production/manufacturing engineering, logistics and transportation, and construction engineering and management. We hope that a summary of the Special Issue as provided here will encourage a detailed analysis of the papers included in the Printed Edition.

railway wagon --- rough sets --- Additive Ratio Assessment (ARAS) --- neural network --- cost estimation --- boarding/deboarding strategies --- optimisation --- multi-criteria decision-making (MCDM) --- Step-Wise Weight Assessment Ratio Analysis (SWARA) --- ruled surface --- seat preference --- image processing --- risk management --- fuzzy sets --- supply chain --- Grasshopper --- experimental test --- parametric design --- rough Best–Worst Method (BWM) --- EDAS --- artificial neural networks --- 3D modelling --- civil engineering --- shovel machine --- interval-valued fuzzy Additive Ratio Assessment --- airplane turn time --- oil and gas well drilling projects --- MCDM --- roof shell --- consistent fuzzy preference relation (CFPR) --- DEMATEL --- tool-flank-wear monitoring --- analytical network process (ANP) --- logistics --- multi criteria decision making --- internal transport --- conceptual design --- hybrid MCDM --- structural analysis --- D number --- construction --- architecture --- multiple-criteria decision-making (MCDM) --- performance evaluation --- rough number --- construction project risk --- multi-attributive border approximation area comparison (MABAC) --- finite element method (FEM) --- manufacturing engineering --- transportation --- experimental testing --- hybrid model --- flexible manufacturing --- rough Simple Additive Weighting (SAW) --- D numbers --- multivariate regression

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The dynamics of systems have proven to be very powerful tools in understanding the behavior of different natural phenomena throughout the last two centuries. However, the attributes of natural systems are observed to deviate from their classical states due to the effect of different types of uncertainties. Actually, randomness and impreciseness are the two major sources of uncertainties in natural systems. Randomness is modeled by different stochastic processes and impreciseness could be modeled by fuzzy sets, rough sets, Dempster–Shafer theory, etc.

Research & information: general --- Mathematics & science --- Fuzzy MARCOS --- Fuzzy PIPRECIA --- traffic risk --- TFN --- MCDM --- dual-rotor --- multi-frequency excitation --- non-intrusive calculation --- metamodel --- NDSL model --- AHP --- criteria weights --- pairwise comparisons --- AES --- PC --- MIMO discrete-time system --- state feedback and output feedback --- parameter dependence --- D numbers --- fuzzy sets --- DEMATEL --- multi-criteria decision-making --- multi-criteria optimization --- RAFSI method --- performance comparison --- rank reversal --- Magnetic Resonance Imaging (MRI) --- wavelet transform --- GARCH --- LLA --- LDA --- KNN --- BWM --- BWM-I --- multi-criteria --- renewable energy --- the CCSD method --- the ITARA method --- the MARCOS method --- stackers --- logistics --- ensemble techniques --- data mining --- classification and discrimination --- linear regression --- applied mathematics general --- prediction theory --- theory of mathematical modeling --- medical applications --- empathic building --- fuzzy grey cognitive maps --- Thayer's emotion model --- artificial emotions --- affective computing

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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

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The pandemic period has caused severe socio-economic damage, but it is accompanied by environmental deterioration that can also affect economic opportunities and social equity. In the face of this double risk, future generations are ready to be resilient and make their contribution not only on the consumption side, but also through their inclusion in all companies by bringing green and circular principles with them. Policy makers can also favor this choice.

Technology: general issues --- mobility choice --- COVID-19 --- best–worst method --- multi-criteria decision making --- air pollution --- air quality --- health effects --- economic burden --- food system --- circular economy --- sustainability --- EU --- Twitter --- COVID-19 pandemic --- local community --- perception analysis --- econometric modeling --- data science --- reflexive governance --- climate change --- infrastructure --- urban resilience --- social sustainability --- economic sustainability --- environmental sustainability --- China --- business --- innovation ecosystem --- innovation strategy --- electric vehicle --- dominant design --- crisis --- pandemic --- higher education --- digitalization --- distance learning --- Covid-19 outbreak --- resilience --- n/a --- strategic resilience --- multi-domain resilience --- strategic agility --- change --- sustainability strategy --- financialization --- TFP --- innovation --- resilience of city --- infectious disease --- urban planning --- supply chain resilience --- IT disruptions --- efficiency measurement --- warehouse logistics --- DEA --- resilient supply chains --- external capital --- customer–supplier relationship --- circular network --- cyber-security --- e-commerce --- Europe --- supply chain collaboration --- small- and medium-sized enterprises --- grey DEMATEL --- fuzzy best-worst method --- agrivoltaic system --- solar photovoltaics --- agronomic management --- crop production --- Food-Energy-Water nexus --- sustainable integration --- women’s leadership --- America Latina --- small and medium-sized enterprises --- renewable energy --- sustainable electricity production --- socio-economic sustainability --- sustainable development goals --- emission level --- levelized cost --- gross domestic product --- pig farmers --- adoption willingness of IoT traceability technology --- Unified Theory of Acceptance and Use of Technology --- Latent Moderate Structural Equations --- biomethane --- natural gas grid --- bioenergy --- biogas --- gas supply decarbonization --- incentives --- competences --- digitization --- digital transformation --- Asia Pacific --- CO2 emission --- demand shock --- hypothetical extraction method --- input–output model --- sectoral linkage --- emerging cities --- sustainable operations --- case studies --- the Asian region --- resilience decisions --- cybersecurity --- consumers’ awareness --- methodology --- best-worst method --- customer-supplier relationship --- women's leadership --- input-output model --- consumers' awareness