Sustainable Manufacturing and Service Economics最新文献_第2页

The causal effect of carbon emission trading scheme on green TFP: Evidence from the Chinese transportation industry 碳排放交易计划对绿色全要素生产率的因果效应：来自中国交通运输业的证据

Sustainable Manufacturing and Service Economics Pub Date : 2024-01-01 DOI: 10.1016/j.smse.2024.100025

Jinli Wang , Kaiyin Zhong

{"title":"The causal effect of carbon emission trading scheme on green TFP: Evidence from the Chinese transportation industry","authors":"Jinli Wang , Kaiyin Zhong","doi":"10.1016/j.smse.2024.100025","DOIUrl":"10.1016/j.smse.2024.100025","url":null,"abstract":"<div><p>While industries globally strive to meet the 1.5-degree target set forth in the Paris Agreement, the transport sector, as the largest emitter of carbon, has yet to sufficiently reduce its emissions. This study utilizes panel data spanning from 2007 to 2022 in China and employs a time-varying difference-in-differences (DID) method to examine the causal impact of the carbon emission trading scheme (ETS) on green total factor productivity (GTFP) within the transport industry. Our empirical analysis yields several key findings: First, the implementation of the ETS policy significantly enhances GTFP in the transport sector within pilot areas. Second, decomposition of GTFP indicators reveals that the ETS primarily improves green scale efficiency and fosters green innovation, driven by technological advancements and optimal resource allocation. Third, heterogeneity analysis demonstrates a notably stronger positive effect of the ETS on transport sector GTFP in the eastern region, with insignificant impacts observed in the central and western regions. Through rigorous robustness tests, these conclusions are consistently upheld. In sum, this paper provides robust empirical evidence supporting the efficacy of ETS in reducing emissions and presents valuable policy implications for fostering the green transition of the transport sector.</p></div>","PeriodicalId":101200,"journal":{"name":"Sustainable Manufacturing and Service Economics","volume":"3 ","pages":"Article 100025"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667344424000082/pdfft?md5=c972850eccc71d5c53f4380e3500c142&pid=1-s2.0-S2667344424000082-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141630243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pivoting and pandemics: A game-theoretic framework for agile personal protective equipment supply chains 支点和大流行病：灵活个人防护装备供应链的博弈论框架

Sustainable Manufacturing and Service Economics Pub Date : 2024-01-01 DOI: 10.1016/j.smse.2024.100019

Hamid R. Sayarshad

{"title":"Pivoting and pandemics: A game-theoretic framework for agile personal protective equipment supply chains","authors":"Hamid R. Sayarshad","doi":"10.1016/j.smse.2024.100019","DOIUrl":"https://doi.org/10.1016/j.smse.2024.100019","url":null,"abstract":"<div><p>Supply chain models frequently tackle manufacturing issues but must also account for the distinctive nature of the disease. Conversely, most epidemiological models solely concentrate on the disease’s spread but must address logistical challenges. The medical supply chain encounters numerous problems during a pandemic, requiring adaptation through pivoting strategies. For instance, when the COVID-19 outbreak began, several nations prohibited the export of medical supplies, including personal protective equipment (PPE). Consequently, in times of crisis, many countries adopt a localization strategy that encourages domestic companies to adapt their operations and produce medical items. Nevertheless, an interconnected system is essential to align suppliers with the actual demand for medical supplies. This study focuses on the design of a game model for the supply chain that considers manufacturers’ equilibrium behaviors in response to the real demand for medical items. We propose a game model that incorporates both the medical supply chain and the unique characteristics of pandemics. Various decisions are taken into account, such as production volume, actual demand for medical products, price, distribution of medical supplies, and investment costs in manufacturing technologies. To determine the Nash Equilibrium solutions for the proposed game model, the Variational Inequality (VI) theory is implemented.</p></div>","PeriodicalId":101200,"journal":{"name":"Sustainable Manufacturing and Service Economics","volume":"3 ","pages":"Article 100019"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667344424000021/pdfft?md5=eb2cb58c5266d0021555bf4b2a80f6f2&pid=1-s2.0-S2667344424000021-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140103814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analyzing the critical success factors to implement green supply chain management in the apparel manufacturing industry: Implications for sustainable development goals in the emerging economies 服装制造业实施绿色供应链管理的关键成功因素分析:对新兴经济体可持续发展目标的启示

Sustainable Manufacturing and Service Economics Pub Date : 2023-04-01 DOI: 10.1016/j.smse.2023.100013

Binoy Debnath , Md Tanvir Siraj , Kh. Harun Or Rashid , A.B.M. Mainul Bari , Chitra Lekha Karmaker , Ridwan Al Aziz

{"title":"Analyzing the critical success factors to implement green supply chain management in the apparel manufacturing industry: Implications for sustainable development goals in the emerging economies","authors":"Binoy Debnath , Md Tanvir Siraj , Kh. Harun Or Rashid , A.B.M. Mainul Bari , Chitra Lekha Karmaker , Ridwan Al Aziz","doi":"10.1016/j.smse.2023.100013","DOIUrl":"https://doi.org/10.1016/j.smse.2023.100013","url":null,"abstract":"<div><p>Green supply chain management (GSCM) is an emerging concept of modern supply chain management (SCM) that integrates eco-friendly and ethical environmental concerns with the traditional supply chain by reducing the negative impacts of unsustainable manufacturing practices. Developed countries have already adopted different sustainable SCM practices. However, despite being one of the significant sources of export earnings in emerging economies like Bangladesh, the apparel manufacturing industry is still lagging in the case of GSCM implementation. This study, thereby, utilized an integrated multi-criteria decision-making (MCDM) approach, including gray theory and decision-making trial and evaluation laboratory (DEMATEL) method to identify, prioritize, and examine the relations among the critical success factors (CSFs) to implement GSCM practices in the Bangladeshi apparel manufacturing industry. The study initially identified the CSFs from the literature review. After expert validation, sixteen significant CSFs were finally analyzed by the gray-DEMATEL method. The findings revealed that 'demand from buyers', 'economic and tax benefits', and 'government rules and regulations' are the three most prominent CSFs to implement GSCM practices in the apparel manufacturing industry. The cause-effect relations among the CSFs were later explored, which indicated 'Economic and tax benefits' to be the most influencing and 'Supplier training and cooperation' to be the most influenced CSF. The study insights can potentially guide apparel industry managers in successfully implementing GSCM practices toward achieving long-term sustainability and sustainable development goals (SDGs).</p></div>","PeriodicalId":101200,"journal":{"name":"Sustainable Manufacturing and Service Economics","volume":"2 ","pages":"Article 100013"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49733294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Surviving major disruptions: Building supply chain resilience and visibility through rapid information flow and real-time insights at the “edge” 抵御重大干扰：通过 "边缘 "的快速信息流和实时洞察力建立供应链复原力和可视性

Sustainable Manufacturing and Service Economics Pub Date : 2023-04-01 DOI: 10.1016/j.smse.2022.100008

Shantanu Dey

{"title":"Surviving major disruptions: Building supply chain resilience and visibility through rapid information flow and real-time insights at the “edge”","authors":"Shantanu Dey","doi":"10.1016/j.smse.2022.100008","DOIUrl":"https://doi.org/10.1016/j.smse.2022.100008","url":null,"abstract":"<div><p>Disruptive events with damaging consequences afflict supply chains across industries. The survival of the business and its consequent recovery depend on the supply chain's resilience. This exploratory article discusses how technology-driven real-time decision-making in a connected supply chain achieves intended business outcomes of resilience, agility, and visibility. Based on an Integrative Literature Review and adopting a Design Science Research Methodology (DSRM), we propose a distributed approach for real-time inferencing in edge near the data sources for rapid autonomous decisioning and recovery planning under disruption. We develop a framework for building resilience in the supply chain using real-time distributed information sharing in a collaborative partner ecosystem. Visibility across the supply chain is ensured with a Digital Control Tower by making information available to any connected node for synchronized action. The important contribution of this research is building a real-time decision framework for sustainable resilience-building in resource-constrained organizations unable to invest in big data and enterprise systems. A set of design propositions following the CIMO framework is expected to help scholars and practitioners alike. A research agenda is provided for the researchers to take forward hypothesis formulation and empirical validation on the basis of the propositions. (194 words)</p></div>","PeriodicalId":101200,"journal":{"name":"Sustainable Manufacturing and Service Economics","volume":"2 ","pages":"Article 100008"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667344422000081/pdfft?md5=79396a52cb12d74d64ae5715ae1e0b6d&pid=1-s2.0-S2667344422000081-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138577798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Digital twin for smart manufacturing, A review 智能制造的数字孪生，综述

Sustainable Manufacturing and Service Economics Pub Date : 2023-04-01 DOI: 10.1016/j.smse.2023.100017

Mohsen Soori , Behrooz Arezoo , Roza Dastres

{"title":"Digital twin for smart manufacturing, A review","authors":"Mohsen Soori , Behrooz Arezoo , Roza Dastres","doi":"10.1016/j.smse.2023.100017","DOIUrl":"https://doi.org/10.1016/j.smse.2023.100017","url":null,"abstract":"<div><p>A virtual representation of a physical procedure or product is called digital twin which can enhance efficiency and reduce costs in manufacturing process. Utilizing the digital twin, production teams can examine various data sources and reduce the number of defective items to enhance production efficiency and decrease industrial downtime. Digital Twin can be utilized to visualize the asset, track changes, understand and optimize asset performance throughout the analysis of the product lifecycle. Also, the collected data from digital twin can provide the complete lifecycle of products and processes to optimize workflows of part production, manage supply chain, and manage product quality. The application of digital twin in smart manufacturing can reduce time to market by designing and evaluating the manufacturing processes in virtual environments before manufacture. Comprehensive simulation platforms can be presented using digital twins to simulate and evaluate product performances in terms of analysis and modification of produced parts. Commissioning time of a factory can also be significantly reduced by developing and optimizing the factory layout using the digital twin. Also, the productivity of part manufacturing can be enhanced by providing the predictive maintenance and data-driven root-cause analysis during part production process. In this paper, application of digital twin in smart manufacturing systems is reviewed to analyze and discuss the advantages and challenges of part production modification using the digital twin. So, the research field can advance by reading and evaluating previous papers in order to propose fresh concepts and approaches by using digital twins in smart manufacturing systems.</p></div>","PeriodicalId":101200,"journal":{"name":"Sustainable Manufacturing and Service Economics","volume":"2 ","pages":"Article 100017"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49723711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

The relationships between economic orientation, sustainable product design and innovation performance: Empirical evidence from the US manufacturing firms 经济导向、可持续产品设计与创新绩效的关系:来自美国制造业企业的实证证据

Sustainable Manufacturing and Service Economics Pub Date : 2023-04-01 DOI: 10.1016/j.smse.2023.100010

Sandeep Jagani

引用次数: 0

Smart warehouse: A bibliometric analysis and future research direction 智能仓库:文献计量学分析与未来研究方向

Sustainable Manufacturing and Service Economics Pub Date : 2023-04-01 DOI: 10.1016/j.smse.2023.100014

Saurabh Tiwari

{"title":"Smart warehouse: A bibliometric analysis and future research direction","authors":"Saurabh Tiwari","doi":"10.1016/j.smse.2023.100014","DOIUrl":"https://doi.org/10.1016/j.smse.2023.100014","url":null,"abstract":"<div><p>Warehouses are crucial components of the logistics industry because their operational efficiency determines the operational efficiency of the logistics. A warehouse was traditionally thought to be a location where inventory was stored and held before being shipped to customers or distributed to retailers for sale. With the introduction of Industry 4.0 technologies, the warehouse's role has changed dramatically, the scope of warehouse operation has expanded, and the concept of smart warehouse, which denotes increased automation of traditional warehouse functions, has been introduced. Smart warehouses aim to improve overall service quality, productivity, and efficiency while lowering costs and failures. It has emerged as a result of smart technologies, igniting a wave of industry transformation with the potential to bring about dramatic changes. We used the bibliometric analysis method in this paper to analyse and draw conclusions from 295 articles retrieved from the Scopus database between 2017 and June 2022. The methodology used in this paper is divided into four steps: data collection, data analysis, data visualisation, and interpretation. The current study aims to provide a comprehensive understanding of smart warehouses using the Bibliometric R-package and VOS viewer software.</p></div>","PeriodicalId":101200,"journal":{"name":"Sustainable Manufacturing and Service Economics","volume":"2 ","pages":"Article 100014"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49723707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

B2B firms’ supply chain resilience orientation in achieving sustainable supply chain performance B2B企业实现可持续供应链绩效的供应链弹性取向

Sustainable Manufacturing and Service Economics Pub Date : 2023-04-01 DOI: 10.1016/j.smse.2023.100011

Muhammad Sabbir Rahman , Mohammad Osman Gani , Bente Fatema , Yoshi Takahashi

{"title":"B2B firms’ supply chain resilience orientation in achieving sustainable supply chain performance","authors":"Muhammad Sabbir Rahman , Mohammad Osman Gani , Bente Fatema , Yoshi Takahashi","doi":"10.1016/j.smse.2023.100011","DOIUrl":"https://doi.org/10.1016/j.smse.2023.100011","url":null,"abstract":"<div><p>The present research investigates the influence of B2B firms' supply chain resilience orientation on achieving sustainable supply chain performance via firms' adaptive capability. Furthermore, this research also tests the moderating role of B2B firms' customer engagement between adaptive capability and sustainable supply chain performance. The proposed conceptual model was analyzed using Partial Least Squares (PLS)-Structured Equation Modeling (SEM) by applying survey data collected from 276 samples of 138 B2B firms. Our results indicate that B2B firms' supply chain resilience orientation positively and significantly influences sustainable supply chain performance via B2B firms' adaptive capability. Based on our analysis, the positive effect of B2B firms' adaptive capability on sustainable supply chain performance is evident only in high customer engagement. Drawing from the literature and theoretical paradigm, the first contribution of this study is the formation of a conceptual model of sustainable supply chain performance in the context of B2B firms. The second key contribution is examining how B2B firms' adaptive capability is influenced by both B2B firms' supply chain resilience orientation and sustainable supply chain performance. The outcome of this study also adds further theoretical insight by analyzing the moderating effect of B2B firms' customer engagement on the relationship between adaptive capability and sustainable supply chain performance. The findings from this research play a significant role in understanding the importance of next-generation supply chains that require B2B firms to invest considerable resources in achieving sustainable supply chain performance to remain competitive in their respective industry. Therefore, B2B firms need to embrace supply chain resilience orientation to achieve sustainable supply chain performance in response to the pandemic resulting from COVID-19.</p></div>","PeriodicalId":101200,"journal":{"name":"Sustainable Manufacturing and Service Economics","volume":"2 ","pages":"Article 100011"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49733257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Emerging technologies to sustainability: A comprehensive study on solar desalination for sustainable development 新兴技术促进可持续发展：太阳能海水淡化促进可持续发展综合研究

Sustainable Manufacturing and Service Economics Pub Date : 2023-04-01 DOI: 10.1016/j.smse.2022.100007

Anang Bhagwati , Manan Shah , Mitul Prajapati

{"title":"Emerging technologies to sustainability: A comprehensive study on solar desalination for sustainable development","authors":"Anang Bhagwati , Manan Shah , Mitul Prajapati","doi":"10.1016/j.smse.2022.100007","DOIUrl":"10.1016/j.smse.2022.100007","url":null,"abstract":"<div><p>Due to global warming and the salinity of drinkable natural resources, water scarcity has become a significant impediment to the development of many regions of the world, prompting the development of novel desalination techniques for brackish and seawater. The only way to satisfy society's freshwater demands is to transform abundant seawater into potable water by desalination. Numerous research efforts have been effective in establishing large desalination plants. However, significantly fewer attempts are made for dry regions where low-cost, maintenance-free, and low-operational-cost approaches are required. Both rapidly developing and underdeveloped nations struggle to provide their populations with pure drinking water. In the desalination sector, CO<sub>2</sub> emissions and significant ecological problems have increased. The desalination sector may be sustainable by integrating renewable energy and using proper brine disposal techniques. In this review, various desalination systems that incorporate renewable energy sources, with an emphasis on solar energy, are examined. The main objective of this paper is to explain what solar desalination is, why it is performed, and what techniques can be used to make desalination more structured and cost-effective. In addition, this study provides a comprehensive review of all the solar desalination systems, indirect and direct, along with plant-specific technical data. In addition, the efforts that have been made to evaluate the economic viability of each desalination technology and the elements that determine its cost are discussed.</p></div>","PeriodicalId":101200,"journal":{"name":"Sustainable Manufacturing and Service Economics","volume":"2 ","pages":"Article 100007"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266734442200007X/pdfft?md5=0c4bfbcd17efa93710ede210153d2766&pid=1-s2.0-S266734442200007X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75295269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Machine learning and artificial intelligence in CNC machine tools, A review 数控机床中的机器学习和人工智能，综述

Sustainable Manufacturing and Service Economics Pub Date : 2023-04-01 DOI: 10.1016/j.smse.2023.100009

Mohsen Soori , Behrooz Arezoo , Roza Dastres

{"title":"Machine learning and artificial intelligence in CNC machine tools, A review","authors":"Mohsen Soori , Behrooz Arezoo , Roza Dastres","doi":"10.1016/j.smse.2023.100009","DOIUrl":"10.1016/j.smse.2023.100009","url":null,"abstract":"<div><p>Artificial Intelligence (AI) and Machine learning (ML) represents an important evolution in computer science and data processing systems which can be used in order to enhance almost every technology-enabled service, products, and industrial applications. A subfield of artificial intelligence and computer science is named machine learning which focuses on using data and algorithms to simulate learning process of machines and enhance the accuracy of the systems. Machine learning systems can be applied to the cutting forces and cutting tool wear prediction in CNC machine tools in order to increase cutting tool life during machining operations. Optimized machining parameters of CNC machining operations can be obtained by using the advanced machine learning systems in order to increase efficiency during part manufacturing processes. Moreover, surface quality of machined components can be predicted and improved using advanced machine learning systems to improve the quality of machined parts. In order to analyze and minimize power usage during CNC machining operations, machine learning is applied to prediction techniques of energy consumption of CNC machine tools. In this paper, applications of machine learning and artificial intelligence systems in CNC machine tools is reviewed and future research works are also recommended to present an overview of current research on machine learning and artificial intelligence approaches in CNC machining processes. As a result, the research filed can be moved forward by reviewing and analysing recent achievements in published papers to offer innovative concepts and approaches in applications of artificial Intelligence and machine learning in CNC machine tools.</p></div>","PeriodicalId":101200,"journal":{"name":"Sustainable Manufacturing and Service Economics","volume":"2 ","pages":"Article 100009"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667344423000014/pdfft?md5=50e9c934b68668d085a95dbd33f1f0d8&pid=1-s2.0-S2667344423000014-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82456606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16