Sustainable Manufacturing and Service Economics最新文献

{"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}

{"title":"B2B firms’ supply chain resilience orientation in achieving sustainable supply chain performance","authors":"Muhammad Sabbir Rahman ,&nbsp;Mohammad Osman Gani ,&nbsp;Bente Fatema ,&nbsp;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}

{"title":"Emerging technologies to sustainability: A comprehensive study on solar desalination for sustainable development","authors":"Anang Bhagwati ,&nbsp;Manan Shah ,&nbsp;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, CO₂ 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}

{"title":"Machine learning and artificial intelligence in CNC machine tools, A review","authors":"Mohsen Soori ,&nbsp;Behrooz Arezoo ,&nbsp;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}

{"title":"Barriers and strategies for sustainable manufacturing implementation in SMEs: A hybrid fuzzy AHP-TOPSIS framework","authors":"Ahmad Abdullah,&nbsp;Shantanu Saraswat,&nbsp;Faisal Talib","doi":"10.1016/j.smse.2023.100012","DOIUrl":"https://doi.org/10.1016/j.smse.2023.100012","url":null,"abstract":"<div><p>Due to growing sustainability challenges, small and medium-sized enterprises (SMEs) are under tremendous pressure to implement sustainable practices in their operations. Studies in this regard show that in almost all cases, transition from a traditional approach to sustainable manufacturing is not at all a smooth experience as it is fraught with pitfalls on several counts at the implementation stage. Therefore, analyzing probable barriers and implementing right set of strategies duly addressing them becomes utmost crucial to successfully implementing the sustainable manufacturing practices. The study particularly aims at identifying and prioritizing such strategies to overcome the very barriers in the implementation phase. The study identified some twenty one odd barriers through an extensive literature review and expert opinions and classified them into four categories. In the same way, nine specific strategies were identified to address the barriers through a comprehensive literature review. An Integrated Fuzzy Analytical Hierarchy Process-Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FAHP-FTOPSIS) approach has been used to further prioritize the barriers and strategies for sustainable manufacturing implementation in Indian manufacturing SMEs. The result depicts that, “Ineffective enforcement of the law (B22)”, “Complexity in implementing 6Rs (B17)”, “Ineffective controlling and monitoring system (B24)”, “Need for a standardized approach to carbon auditing (B15)” and “Heavy dependence on fossil fuels (B14)” are the top five barriers that hamper smooth implementation of sustainable manufacturing whereas, out of the nine proposed strategies “Implementation of lean and green manufacturing techniques (S2)” and “Establishment of benchmark and performance measuring systems (S6)” were found to be the two most important strategies that should be employed to eliminate the identified barriers. The findings provide strategic insights into guiding decision-makers and practitioners of Indian manufacturing SMEs in regards to sustainable manufacturing implementation. Besides, this study also assists managers by way of providing them with a hierarchical list of strategies ranked in order of their effectiveness to potentially eliminate the implementation barriers.</p></div>","PeriodicalId":101200,"journal":{"name":"Sustainable Manufacturing and Service Economics","volume":"2 ","pages":"Article 100012"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49723705","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}

{"title":"Sustainability perspectives – a review of additive and subtractive manufacturing","authors":"Heshan Jayawardane ,&nbsp;Ian J. Davies ,&nbsp;J.R. Gamage ,&nbsp;Michele John ,&nbsp;Wahidul K. Biswas","doi":"10.1016/j.smse.2023.100015","DOIUrl":"https://doi.org/10.1016/j.smse.2023.100015","url":null,"abstract":"<div><p>The manufacturing industry contributes to the rapid development of world economy but generates substantial adverse impacts on the environment and society. This research paper explores the tools and methods used to evaluate the sustainability of additive and subtractive manufacturing. A systematic literature review has been conducted to carefully assess literature on part choice, material choice, technical assessment, environmental assessment, economic assessment, social implications, integrations, and sustainability performance comparisons. The study highlights that whilst sustainability performance of additive and subtractive manufactured parts and systems has been assessed, integration of technical feasibility to improve sustainability performance has not been adequately explored. The study concludes that technical feasibility integrated sustainability assessments of additive and subtractive manufactured parts should be followed to bridge the gap between technical and sustainability performance. Further, this review explores challenges to integrate technical and sustainability performance and to improve the overall sustainability aspects of additive and subtractive manufactured parts.</p></div>","PeriodicalId":101200,"journal":{"name":"Sustainable Manufacturing and Service Economics","volume":"2 ","pages":"Article 100015"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49732856","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}

{"title":"Circular Supplier Selection in the Construction Industry: A Sustainability Perspective for the Emerging Economies","authors":"Zulficar Niaz Tushar, A. Bari, M. Khan","doi":"10.1016/j.smse.2022.100005","DOIUrl":"https://doi.org/10.1016/j.smse.2022.100005","url":null,"abstract":"","PeriodicalId":101200,"journal":{"name":"Sustainable Manufacturing and Service Economics","volume":"111 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73459427","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}

{"title":"Buyer-Supplier Relationships and Environmental Sustainability in Developing Regions: Field Evidence from Zimbabwe's Private Telecommunication Sector","authors":"Tinotenda Fredrick Munyimi","doi":"10.1016/j.smse.2022.100004","DOIUrl":"https://doi.org/10.1016/j.smse.2022.100004","url":null,"abstract":"","PeriodicalId":101200,"journal":{"name":"Sustainable Manufacturing and Service Economics","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89801879","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}

{"title":"Supplier Sustainability: A Comprehensive Review and Future Research Directions","authors":"V. Patil, T. Tan, S. Rispens, S. Dabadghao, E. Demerouti","doi":"10.1016/j.smse.2022.100003","DOIUrl":"https://doi.org/10.1016/j.smse.2022.100003","url":null,"abstract":"","PeriodicalId":101200,"journal":{"name":"Sustainable Manufacturing and Service Economics","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86651784","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}

{"title":"Alternative shipment policies compared for an international supply chain model with stochastic exchange rate, carbon emission and imperfect quality items","authors":"H. Öztürk","doi":"10.1016/j.smse.2022.100002","DOIUrl":"https://doi.org/10.1016/j.smse.2022.100002","url":null,"abstract":"","PeriodicalId":101200,"journal":{"name":"Sustainable Manufacturing and Service Economics","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90133651","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}