Modelling and Analysis of Sustainability Related Issues in New Era

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, qua...

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Year of Publication:2019
Language:English
Physical Description:1 electronic resource (350 p.)
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245 1 0 |a Modelling and Analysis of Sustainability Related Issues in New Era 
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520 |a 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. 
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653 |a VIKOR 
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653 |a LS-ARIMAXi-ECM model 
653 |a DANP (DEMATEL based ANP) 
653 |a multi-attribute decision model (MADM) 
653 |a artificial intelligence 
653 |a white noise 
653 |a OECD 
653 |a integrated mathematical programming 
653 |a Activity-Based Standard Costing (ABSC) 
653 |a qualitative-empirical study 
653 |a energy efficiency 
653 |a multi-attribute value theory (MAVT) 
653 |a e-commerce platform 
653 |a decision making trial and evaluation laboratory (DEMATEL) 
653 |a colored noise 
653 |a carbon tax policy 
653 |a material flow cost accounting 
653 |a Manufacturing Execution System (MES) 
653 |a cap & trade 
653 |a manufacturing sustainability 
653 |a sustainability 
653 |a OEE 
653 |a mathematical programming 
653 |a aluminum-alloy wheel industry 
653 |a sustainable development 
653 |a return policy 
653 |a small and medium enterprises 
653 |a decision making 
653 |a Enterprise Resource Planning (ERP) 
653 |a tire industry 
653 |a footwear industry 
653 |a carbon tax 
653 |a electrical appliances 
653 |a niche inheritance 
653 |a carbon emission 
653 |a social sustainability 
653 |a material handling systems 
653 |a small and medium-sized enterprises 
653 |a product-mix decision 
653 |a internal control 
653 |a economic growth 
653 |a active suspension 
653 |a Industry 4.0 
653 |a corporate social responsibility 
653 |a greenhouse gas 
653 |a carbon emissions 
653 |a succession plan 
653 |a digital transformation 
653 |a corporate social responsibility (CSR) 
653 |a fuel consumption 
653 |a agent-based control architecture 
653 |a sustainability performance 
653 |a activity-based costing (ABC) 
653 |a corporate characteristics 
653 |a firm value 
653 |a industry 4.0 
653 |a digital platforms 
653 |a ISO14051 
653 |a theory of constraints (TOC) 
653 |a long- and short-term 
653 |a NSGAII 
653 |a CO2 emissions 
653 |a family capital 
653 |a green production 
653 |a industrial internet of things 
653 |a multi-objective optimization 
653 |a family business 
653 |a exogenous variables 
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