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Decision making --- Mathematical models --- Mathematical models. --- multicriteria decision-making --- decision making --- ahp --- anp --- analytic hierarchy process --- analytic network process
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The focus of this reprint is on environmental planning and modeling. It examines articles on green consumption, biodiversity, and household waste recycling, as well as presenting a review of the trend in publications on household waste recycling. A number of country-based applications are presented and models are used to show how multiple perspectives can be considered in policy making. This reprint will be of special interest to researchers and readers involved in sustainability management. Further, although some chapters present models to solve sustainability problems, they also share policy and decision-making frameworks for applying such models.
bibliometric analysis --- bibliometrix --- household recycling --- research trends --- science mapping --- waste management --- analytic hierarchy process (AHP) --- ecosystem management --- expert opinion --- environmental planning and modeling --- rights-based tool --- multi-criteria decision making --- optimisation --- sustainability --- SWAT model --- water quality --- hydrology --- fertilizer application --- Songkhla Lake Basin --- green consumption --- environmental change --- environmental regulation --- social welfare --- APEX --- open-source software --- QGIS --- QAPEX --- best management practice --- LDC --- n/a
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Despite the ongoing impact of the COVID-19 pandemic, the challenge of realizing sustainability across the triple bottom line of social, environmental, and economic development remains an urgent priority. If anything, it is now imperative that we work towards achieving the United Nations Sustainable Development Goals (SDGs). However, the global challenges are significant. Many of the societal challenges represent complex problems that require multifaceted solutions drawing on multidisciplinary approaches.Engineering management involves the management of people and projects related to technological or engineering systems—this includes project management, engineering economy and technology management, as well as the management and leadership of teams. Systems engineering involves the design, integration and management of complex systems over the full life cycle—this includes requirements capture and integrated system design, as well as modelling and simulation. In addition to the theoretical underpinnings of both disciplines, they also provide a range of tools and techniques that can be used to address technological and organisational complexity. The disciplines of engineering management and systems engineering are therefore ideally suited to help tackle both the challenges and the opportunities associated with realising a sustainable future for all.This book provides new insights on how engineering management and systems engineering can be utilised as part of the journey towards sustainability. The book includes a discussion of a broad range of different approaches to investigate sustainability through utilising quantitative, qualitative and conceptual methodologies. The book will be of interest to researchers and students focused on the field of sustainability as well as practitioners concerned with devising strategies for sustainable development.
Technology: general issues --- sustainability --- project success --- business–society --- business models --- Sustainable Development Goals (SDGs) --- sustainable development --- infrastructure project --- fuzzy analytic hierarchy process --- project selection --- sustainable projects --- multi-criteria decision making --- COVID-19 --- food and beverage --- manufacturing --- complexity theory --- engineering management --- management --- conceptual --- carbon neutral --- electric vehicle --- vehicle-to-grid --- renewable energy --- smart charging --- net-zero --- circular economy --- design methods --- whole systems thinking --- data centre industry --- n/a --- business-society
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The focus of this reprint is on environmental planning and modeling. It examines articles on green consumption, biodiversity, and household waste recycling, as well as presenting a review of the trend in publications on household waste recycling. A number of country-based applications are presented and models are used to show how multiple perspectives can be considered in policy making. This reprint will be of special interest to researchers and readers involved in sustainability management. Further, although some chapters present models to solve sustainability problems, they also share policy and decision-making frameworks for applying such models.
Research & information: general --- Environmental economics --- bibliometric analysis --- bibliometrix --- household recycling --- research trends --- science mapping --- waste management --- analytic hierarchy process (AHP) --- ecosystem management --- expert opinion --- environmental planning and modeling --- rights-based tool --- multi-criteria decision making --- optimisation --- sustainability --- SWAT model --- water quality --- hydrology --- fertilizer application --- Songkhla Lake Basin --- green consumption --- environmental change --- environmental regulation --- social welfare --- APEX --- open-source software --- QGIS --- QAPEX --- best management practice --- LDC --- n/a
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Despite the ongoing impact of the COVID-19 pandemic, the challenge of realizing sustainability across the triple bottom line of social, environmental, and economic development remains an urgent priority. If anything, it is now imperative that we work towards achieving the United Nations Sustainable Development Goals (SDGs). However, the global challenges are significant. Many of the societal challenges represent complex problems that require multifaceted solutions drawing on multidisciplinary approaches.Engineering management involves the management of people and projects related to technological or engineering systems—this includes project management, engineering economy and technology management, as well as the management and leadership of teams. Systems engineering involves the design, integration and management of complex systems over the full life cycle—this includes requirements capture and integrated system design, as well as modelling and simulation. In addition to the theoretical underpinnings of both disciplines, they also provide a range of tools and techniques that can be used to address technological and organisational complexity. The disciplines of engineering management and systems engineering are therefore ideally suited to help tackle both the challenges and the opportunities associated with realising a sustainable future for all.This book provides new insights on how engineering management and systems engineering can be utilised as part of the journey towards sustainability. The book includes a discussion of a broad range of different approaches to investigate sustainability through utilising quantitative, qualitative and conceptual methodologies. The book will be of interest to researchers and students focused on the field of sustainability as well as practitioners concerned with devising strategies for sustainable development.
Technology: general issues --- sustainability --- project success --- business–society --- business models --- Sustainable Development Goals (SDGs) --- sustainable development --- infrastructure project --- fuzzy analytic hierarchy process --- project selection --- sustainable projects --- multi-criteria decision making --- COVID-19 --- food and beverage --- manufacturing --- complexity theory --- engineering management --- management --- conceptual --- carbon neutral --- electric vehicle --- vehicle-to-grid --- renewable energy --- smart charging --- net-zero --- circular economy --- design methods --- whole systems thinking --- data centre industry --- n/a --- business-society
Choose an application
The focus of this reprint is on environmental planning and modeling. It examines articles on green consumption, biodiversity, and household waste recycling, as well as presenting a review of the trend in publications on household waste recycling. A number of country-based applications are presented and models are used to show how multiple perspectives can be considered in policy making. This reprint will be of special interest to researchers and readers involved in sustainability management. Further, although some chapters present models to solve sustainability problems, they also share policy and decision-making frameworks for applying such models.
Research & information: general --- Environmental economics --- bibliometric analysis --- bibliometrix --- household recycling --- research trends --- science mapping --- waste management --- analytic hierarchy process (AHP) --- ecosystem management --- expert opinion --- environmental planning and modeling --- rights-based tool --- multi-criteria decision making --- optimisation --- sustainability --- SWAT model --- water quality --- hydrology --- fertilizer application --- Songkhla Lake Basin --- green consumption --- environmental change --- environmental regulation --- social welfare --- APEX --- open-source software --- QGIS --- QAPEX --- best management practice --- LDC --- n/a
Choose an application
Despite the ongoing impact of the COVID-19 pandemic, the challenge of realizing sustainability across the triple bottom line of social, environmental, and economic development remains an urgent priority. If anything, it is now imperative that we work towards achieving the United Nations Sustainable Development Goals (SDGs). However, the global challenges are significant. Many of the societal challenges represent complex problems that require multifaceted solutions drawing on multidisciplinary approaches.Engineering management involves the management of people and projects related to technological or engineering systems—this includes project management, engineering economy and technology management, as well as the management and leadership of teams. Systems engineering involves the design, integration and management of complex systems over the full life cycle—this includes requirements capture and integrated system design, as well as modelling and simulation. In addition to the theoretical underpinnings of both disciplines, they also provide a range of tools and techniques that can be used to address technological and organisational complexity. The disciplines of engineering management and systems engineering are therefore ideally suited to help tackle both the challenges and the opportunities associated with realising a sustainable future for all.This book provides new insights on how engineering management and systems engineering can be utilised as part of the journey towards sustainability. The book includes a discussion of a broad range of different approaches to investigate sustainability through utilising quantitative, qualitative and conceptual methodologies. The book will be of interest to researchers and students focused on the field of sustainability as well as practitioners concerned with devising strategies for sustainable development.
sustainability --- project success --- business–society --- business models --- Sustainable Development Goals (SDGs) --- sustainable development --- infrastructure project --- fuzzy analytic hierarchy process --- project selection --- sustainable projects --- multi-criteria decision making --- COVID-19 --- food and beverage --- manufacturing --- complexity theory --- engineering management --- management --- conceptual --- carbon neutral --- electric vehicle --- vehicle-to-grid --- renewable energy --- smart charging --- net-zero --- circular economy --- design methods --- whole systems thinking --- data centre industry --- n/a --- business-society
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This book is a Printed Edition of the Special Issue that covers research on symmetric and asymmetric data that occur in real-life problems. We invited authors to submit their theoretical or experimental research to present engineering and economic problem solution models that deal with symmetry or asymmetry of different data types. The Special Issue gained interest in the research community and received many submissions. After rigorous scientific evaluation by editors and reviewers, seventeen papers were accepted and published. The authors proposed different solution models, mainly covering uncertain data in multicriteria decision-making (MCDM) problems as complex tools to balance the symmetry between goals, risks, and constraints to cope with the complicated problems in engineering or management. Therefore, we invite researchers interested in the topics to read the papers provided in the book.
Information technology industries --- COVID-19 --- criteria importance through inter-criteria correlation (CRITIC) --- combined compromise solution (CoCoSo) --- gray values --- temporary hospital --- location selection --- ARAS --- interval-valued triangular fuzzy numbers --- e-learning courses --- MCDM --- neutrosophic sets --- quadripartitioned bipolar neutrosophic sets --- similarity measure --- decision making --- multiple-criteria decision-making --- neutrosophic --- single-valued neutrosophic sets --- TOPSIS --- Hamming distance --- Euclidean distance --- e-commerce development strategies --- Symmetry --- bibliometric analysis --- Web of Science --- co-citation --- burst detection analysis --- supply chain --- DANP-mV model --- performance analysis --- asymmetric underactuated --- rehabilitation --- robotic exoskeleton --- symmetric and asymmetric trajectory --- Bowden cable --- video processing data --- EOQ --- Wilson’s formulation --- lot size --- reordering time --- visual analogue scales (VAS) --- criteria weighting --- matrix question --- survey --- WASPAS-SVNS --- entropy --- direct rating --- rehabilitation device --- electromyogram --- symmetry --- window parameters --- feature extraction --- pattern recognition --- sensitivity analysis --- reliability --- failure probability --- quantile --- civil engineering --- limit states --- mathematical model --- uncertainty --- cost overrun --- construction project --- fuzzy sets --- earned value management (EVM) --- artificial neural networks (ANNs) --- multiple regression analysis --- road industry --- buckling --- safety --- superquantile --- subquantile --- aerial imagery --- lossy compression --- qualitative evaluation --- WASPAS --- neutrosophic set --- Analytic Hierarchy Process --- fuzzy Analytic Hierarchy Process --- symmetric and asymmetric fuzzy numbers --- stability --- landscape --- micro factor --- macro factor --- real estate market --- Big Data analysis --- Big Data --- land price --- R and Python --- land Big Data --- symmetric data --- asymmetric data --- solution models
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This book is a Printed Edition of the Special Issue that covers research on symmetric and asymmetric data that occur in real-life problems. We invited authors to submit their theoretical or experimental research to present engineering and economic problem solution models that deal with symmetry or asymmetry of different data types. The Special Issue gained interest in the research community and received many submissions. After rigorous scientific evaluation by editors and reviewers, seventeen papers were accepted and published. The authors proposed different solution models, mainly covering uncertain data in multicriteria decision-making (MCDM) problems as complex tools to balance the symmetry between goals, risks, and constraints to cope with the complicated problems in engineering or management. Therefore, we invite researchers interested in the topics to read the papers provided in the book.
COVID-19 --- criteria importance through inter-criteria correlation (CRITIC) --- combined compromise solution (CoCoSo) --- gray values --- temporary hospital --- location selection --- ARAS --- interval-valued triangular fuzzy numbers --- e-learning courses --- MCDM --- neutrosophic sets --- quadripartitioned bipolar neutrosophic sets --- similarity measure --- decision making --- multiple-criteria decision-making --- neutrosophic --- single-valued neutrosophic sets --- TOPSIS --- Hamming distance --- Euclidean distance --- e-commerce development strategies --- Symmetry --- bibliometric analysis --- Web of Science --- co-citation --- burst detection analysis --- supply chain --- DANP-mV model --- performance analysis --- asymmetric underactuated --- rehabilitation --- robotic exoskeleton --- symmetric and asymmetric trajectory --- Bowden cable --- video processing data --- EOQ --- Wilson’s formulation --- lot size --- reordering time --- visual analogue scales (VAS) --- criteria weighting --- matrix question --- survey --- WASPAS-SVNS --- entropy --- direct rating --- rehabilitation device --- electromyogram --- symmetry --- window parameters --- feature extraction --- pattern recognition --- sensitivity analysis --- reliability --- failure probability --- quantile --- civil engineering --- limit states --- mathematical model --- uncertainty --- cost overrun --- construction project --- fuzzy sets --- earned value management (EVM) --- artificial neural networks (ANNs) --- multiple regression analysis --- road industry --- buckling --- safety --- superquantile --- subquantile --- aerial imagery --- lossy compression --- qualitative evaluation --- WASPAS --- neutrosophic set --- Analytic Hierarchy Process --- fuzzy Analytic Hierarchy Process --- symmetric and asymmetric fuzzy numbers --- stability --- landscape --- micro factor --- macro factor --- real estate market --- Big Data analysis --- Big Data --- land price --- R and Python --- land Big Data --- symmetric data --- asymmetric data --- solution models
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With the advent of disruptive digital technologies, companies are facing unprecedented challenges and opportunities. Advanced manufacturing systems are of paramount importance in making key enabling technologies and new products more competitive, affordable, and accessible, as well as for fostering their economic and social impact. The manufacturing industry also serves as an innovator for sustainability since automation coupled with advanced manufacturing technologies have helped manufacturing practices transition into the circular economy. To that end, this Special Issue of the journal Applied Sciences, devoted to the broad field of Smart Sustainable Manufacturing Systems, explores recent research into the concepts, methods, tools, and applications for smart sustainable manufacturing, in order to advance and promote the development of modern and intelligent manufacturing systems. In light of the above, this Special Issue is a collection of the latest research on relevant topics and addresses the current challenging issues associated with the introduction of smart sustainable manufacturing systems. Various topics have been addressed in this Special Issue, which focuses on the design of sustainable production systems and factories; industrial big data analytics and cyberphysical systems; intelligent maintenance approaches and technologies for increased operating life of production systems; zero-defect manufacturing strategies, tools and methods towards online production management; and connected smart factories.
n/a --- sensitivity analysis --- customized demand --- dynamic supply chain design --- additive manufacturing --- sensor function --- deteriorating systems --- big data --- connected smart factories --- operations management --- kernel density estimation --- development --- efficiency --- hybrid laminate --- managerial commitment --- productivity benefits --- particle map --- pace --- car-sharing --- particle defect management --- case study --- quality --- semiconductor manufacturing process --- open innovation --- circular economy --- remanufacturing --- sustainability evaluation --- multi-usable cloud service platform --- knowledge-based engineering --- sustainable manufacturing --- Dempster–Shafer evidence theory --- Transport Sustainability Index --- Industry 4.0 --- knowledge management --- collective intelligence --- analytic hierarchy process --- TPM --- flexibility --- manufacturing process innovation --- data collection and analytics --- smart factory --- intelligent machining --- computer-aided innovation --- implementation --- improvement --- piezoceramic compound --- sheet metal forming --- production planning --- impact detection --- maintenance --- Dempster-Shafer evidence theory
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