{"title":"Does the transformation of high-tech zones into national innovation demonstration zones promote the urban green total factor productivity?","authors":"Zhang Tingting , Xie Jiaping , Xie Jiqing , Liang Ling , Bi Lingling","doi":"10.1016/j.susoc.2023.12.002","DOIUrl":"10.1016/j.susoc.2023.12.002","url":null,"abstract":"<div><p>The plan of \"transforming national high-tech zones into national innovation demonstration zones (hereinafter referred to as\" NIDZ\") launched in 2009 is an attempt to promote high-quality economic development in China. Based on the quasi-natural experiment of transforming national high-tech zones into NIDZ in 2009, this paper collected and sorted out the data of 51 cities where national high-tech zones were located in China from 2002 to 2018. Then we measured urban green total factor productivity by applying the SBM model and investigated the impact of transformation on urban green total factor productivity through the difference in difference (DID) method. The results show that: (1) Urban green total factor productivity has been improved by transforming into a NIDZ, and the results are relatively stable. (2) Mechanism analysis shows that the promotion of urban green total factor productivity by transformation is realized through green technology innovation and industrial agglomeration mechanism. (3)The heterogeneity analysis shows that the policy effects are better in the developed eastern regions and regions with lower levels of government efficiency, and have not been reflected in the less developed central and western regions and regions with higher levels of government efficiency.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 60-72"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412724000023/pdfft?md5=8af06cb5b7ae041f1cd90e475fdcb701&pid=1-s2.0-S2666412724000023-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139637149","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":"Calculation of embodied mercury emissions from international trade: An empirical study from China","authors":"Yao Qu, Xianhua Wu, Yuanjing Xu, Yiting Wang","doi":"10.1016/j.susoc.2024.09.001","DOIUrl":"10.1016/j.susoc.2024.09.001","url":null,"abstract":"<div><div>How to use the world input-output table to calculate the embodied mercury emissions from international trade is important for the determination of mercury emission sources and targeted reduction of mercury emissions. This paper first discusses the current situation of mercury emissions and the progress of academic research, and introduces the calculation methods and data sources of the world input-output table. Then, China's embodied mercury emissions caused by international trade are calculated using the 2019 world input-output table from the Carbon Emission Accounts and Datasets which includes detailed data for 134 sectors in 235 countries. The main conclusions are as follows: labor-intensive and energy-intensive industries have high embodied mercury emissions due to foreign final consumption demand, with the combined emissions from metal smelting, energy supply, and agriculture accounting for over 80 % of the total embodied mercury emissions. Moreover, the embodied mercury emissions caused by the final consumption demand of the United States, Japan, Germany, India, and South Korea are large, accounting for approximately 40 % of the total emissions.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 181-190"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142428786","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}
Mohammad Rafiqur Rashid , Sourav Kumar Ghosh , Md. Fahim Bin Alam , Mohammad Faizur Rahman
{"title":"A Fuzzy Multi-Criteria Model with Pareto Analysis for Prioritizing Sustainable Supply Chain Barriers in the Textile Industry: Evidence from an Emerging Economy","authors":"Mohammad Rafiqur Rashid , Sourav Kumar Ghosh , Md. Fahim Bin Alam , Mohammad Faizur Rahman","doi":"10.1016/j.susoc.2023.11.002","DOIUrl":"https://doi.org/10.1016/j.susoc.2023.11.002","url":null,"abstract":"<div><p>The textile industry supply chains (SC) face numerous risks and disruptions due to the changing dynamics of high demand and limited resources. The impact of epidemics and regional conflicts further complicates global business operations, especially in emerging economies. In this context, the textile sector in these economies must prioritize Sustainable Supply Chain Management (SSCM) to achieve cost reduction, enhance productivity, and improve profitability to sustain their business. Although research has examined several SSCM viewpoints, the barriers that prevent emerging economies from adopting SSCM in the textile sector to meet the Sustainable Development Goals (SDGs) are not sufficiently highlighted in the empirical literature that has already been published. This study analyzes different barriers and investigates how they are interconnected. From the literature research, 17 main barriers were first identified in the process. The barriers were then prioritized in order of significance using a combination of fuzzy theory, Pareto analysis, and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) framework. Finally, the cause-and-effect relationships among these barriers were established. A lack of commitment from the supplier's top management, insufficient financial incentives, and the absence of supportive government standards and regulations were identified as the three topmost significant barriers to SSCM adoption. For the textile sector, governments, and policymakers in emerging economies, the study's results are helpful since they will assist them create mitigation strategies to get rid of these barriers and achieve long-term sustainability.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266641272300017X/pdfft?md5=b8c915b7a77eb3a8fa9d0f05d3573999&pid=1-s2.0-S266641272300017X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139503783","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}
Seyed Sajjad Fazeli , Saravanan Venkatachalam , Jonathon M. Smereka
{"title":"Efficient algorithms for electric vehicles’ min-max routing problem","authors":"Seyed Sajjad Fazeli , Saravanan Venkatachalam , Jonathon M. Smereka","doi":"10.1016/j.susoc.2023.07.002","DOIUrl":"10.1016/j.susoc.2023.07.002","url":null,"abstract":"<div><p>An increase in greenhouse gases emission from the transportation sector has led companies and the government to elevate and support the production of electric vehicles (EV). With recent developments in urbanization and e-commerce, transportation companies are replacing their conventional fleet with EVs to strengthen the efforts for sustainable and environment-friendly operations. However, deploying a fleet of EVs asks for efficient routing and recharging strategies to alleviate their limited range and mitigate the battery degradation rate. In this work, a fleet of electric vehicles is considered for transportation and logistic capabilities with limited battery capacity and scarce charging station availability. We introduce a min-max electric vehicle routing problem (MEVRP) where the maximum distance traveled by any EV is minimized while considering charging stations for recharging. We propose an efficient branch and cut framework and a three-phase hybrid heuristic algorithm that can efficiently solve a variety of instances. Extensive computational results and sensitivity analyses are performed to corroborate the efficiency of the proposed approach, both quantitatively and qualitatively. Finally a data-driven simulation implemented with the robot operating system (ROS) middleware are performed to corroborate the efficiency of the proposed approach, both quantitatively and qualitatively.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412723000107/pdfft?md5=3b2952d55dead949d68fbd88581aa66d&pid=1-s2.0-S2666412723000107-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86604144","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":"3D printed medical surgical cotton fabric- poly lactic acid biocomposite: A feasibility study","authors":"Mohd Shoeb, Lokesh Kumar, Abid Haleem","doi":"10.1016/j.susoc.2023.07.001","DOIUrl":"https://doi.org/10.1016/j.susoc.2023.07.001","url":null,"abstract":"<div><p>Fused Deposition Modeling (FDM) 3D printing is an advanced Additive Manufacturing (AM) method for developing thermoplastic-based parts. Researchers studied FDM-based 3D printing of PLA with whole biomass and biomass resources such as lignin, hemicellulose, and cellulose. These composites are environmentally friendly, sustainable and have wide applications in healthcare. There is scope for developing the 3D printing of biocomposite with medical surgical cotton fabric, where PLA is unique for such manufacturing. The development and characterisation of FDM 3D printed medical surgical cotton fabric- PLA biocomposite is the primary objective of this work. Experimental methods used for the development of biocomposites involve the use of three types of cotton fabric of pore sizes 0.6 mm x 0.6 mm, 0.8 mm x 0.8 mm, and 1.0 mm x 1.0 mm with three different 3D printing pore sizes 0.5 mm x 0.5 mm, 1.0 mm x 1.0 and 1.5 mm x 1.5 mm. The development of biocomposites is found feasible. Breaking strength, percentage extension, and water absorption capacity increased in 3D printing pore sizes and pore wall width for each fabric. The maximum 235.40 N and minimum 123.20 N breaking strength, maximum 2.288 % and minimum 1.506 % extension, and maximum 7.63 % and minimum 3.57 % absorption capacity have been observed for the developed biocomposite. The behaviours of these biocomposites are adequate for healthcare applications and may be used as a bandage in wound healing. The present work is limited to the feasibility study of the unique biocomposite. Analysis of other properties and testing of biocomposite on animals and humans may be carried out in future work.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"4 ","pages":"Pages 130-146"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49730286","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}
Abid Haleem , Mohd Javaid , Ravi Pratap Singh , Rajiv Suman , Shahbaz Khan
{"title":"Management 4.0: Concept, applications and advancements","authors":"Abid Haleem , Mohd Javaid , Ravi Pratap Singh , Rajiv Suman , Shahbaz Khan","doi":"10.1016/j.susoc.2022.10.002","DOIUrl":"https://doi.org/10.1016/j.susoc.2022.10.002","url":null,"abstract":"<div><p>Management 4.0 assists businesses in evolving, surviving and performing in the competitive and dynamic world. This fourth revolution uses advanced technologies like Artificial Intelligence (AI), Virtual Reality (VR), Internet of Things (IoT), Robotics, Holography, Additive Manufacturing etc., for the proper management systems. These technologies facilitate working personnel and make it more appealing to complete their duties efficiently and accurately. The main aim of this paper is to understand the concept of Management 4.0, its technologies and applications for proper management systems. As Management 4.0 enhances process control, the chance of human error is reduced, leading to increased efficiency. It enables rapid and intelligent decision-making, reduces costs, accelerates growth, and raises profitability. Management 4.0 technologies and advanced data analytics are helpful to make smart supply chain management well suited to fulfil industry 4.0. Thus, to overcome various obstacles and effectively deploy Management 4.0 technologies in manufacturing industries, top management must establish a clear asset performance management plan with the help of process engineers familiar with industrial system failure occurrences and what operators need to improve. Management 4.0 involves advanced technologies, system connectivity, data collection & analysis at the organisation level. Management 4.0 is expected to be a critical component in the long-term survival of any business, either manufacturing or service-providing organisations. This paper explores the development of Management 4.0 and its dimensions and transformations through Management 4.0 perspectives. Finally, the significant role of Management 4.0 for appropriate private management system in manufacturing industries are identified. Organisations require a system that seamlessly meets the company's expectations, consumers, investors, and other stakeholders to remain competitive, and Management 4.0 will enable this. Many businesses strive to integrate technologies and upskill their personnel to adapt to the new job duties and attract more workers with the necessary abilities.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"4 ","pages":"Pages 10-21"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49730815","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":"An investigation of the customer baseline load (CBL) calculation for industrial demand response participants –A regional case study from Iran","authors":"Abolfazl Ghasemi , Merdad Hojjat , Javad Saebi , Hamid Reza Neisaz , Mohammad Reza Hosseinzade","doi":"10.1016/j.susoc.2023.03.003","DOIUrl":"https://doi.org/10.1016/j.susoc.2023.03.003","url":null,"abstract":"<div><p>In today's power systems, performing demand response (DR) programs is considered a solution for sustainable operation, carbon reduction, and facilitating renewable energy integration. Currently in Iran, several DR programs are available to industrial customers. Moreover, the design of a market-based DR has recently been considered by the power system operator. In DR programs, customer baseline load (CBL) is used to determine the level of customers’ demand reduction and is key to the billing process; thus, the CBL calculation methodology can directly affect the efficiency of these programs. This paper investigates the current CBL calculation method in Iran's power system and, as its main contribution, proposes some effective methods to reduce the probable incentives for CBL manipulation. In order to show the effectiveness of the methods, a real study case is considered based on the historical load data of the industries in the Khorasan region.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"4 ","pages":"Pages 88-95"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49756778","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}
Xiaogang Ma , Haibo Guo , Xiaodong Tang , Xueying Gao , Xiaoran Wang
{"title":"Emergency traffic distribution and related traffic organization method under natural disasters","authors":"Xiaogang Ma , Haibo Guo , Xiaodong Tang , Xueying Gao , Xiaoran Wang","doi":"10.1016/j.susoc.2022.09.001","DOIUrl":"https://doi.org/10.1016/j.susoc.2022.09.001","url":null,"abstract":"<div><p>The frequent occurrence of natural disasters caused by human activities and environmental pollution has forced people to pay attention to environmental protection. Of course, emergency rescue after natural disasters is also a great component of research. Emergency rescue often generates a large number of emergency evacuation and rescue traffic needs. In the face of scarce road resources, how to allocate limited road resources for emergency traffic needs reasonably to improve the efficiency of emergency rescue has important practical significance. This paper studies the emergency traffic distribution method and the traffic organization method of the emergency traffic network. First, on the basis of the existing traffic distribution method based on Logit model, combined with the characteristics of emergency traffic flow, an emergency multi-path traffic distributed method based on the second modified Logit model is proposed. As well as the emergency lane reversal implementation strategy is proposed according to the actual situation. Finally, an example is proposed to comprehensively verify the emergency traffic distribution method and emergency lane reversal strategy proposed in this paper. The experimental results show that the proposed method can cope with the complex scenarios of multiple emergency traffic flows and is helpful to improve the overall efficiency of emergency traffic flow.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"4 ","pages":"Pages 1-9"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49730590","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":"Barriers towards blockchain adoption in seafood exports","authors":"M.S. Meera , Chakrabarti Deepankar , Totakura Bangar Raju , Jahnavi Haldiya","doi":"10.1016/j.susoc.2023.12.001","DOIUrl":"https://doi.org/10.1016/j.susoc.2023.12.001","url":null,"abstract":"<div><p>Blockchain is a new technology that is seen to be transforming businesses across various industries. This technology provides transparency under all levels of business and it supports traceability across various supply chains which older technologies could not reach. This research explores various factors affecting the adoption of blockchain technology in seafood towards sustainable supplychain for exports. Based on feedback from seven companies, technique for order performance by similarity to ideal solution is deployed to identify important factors for sustainable supply chain solutions. Regulatory uncertainity emerges as the major factor, which calls for reforms in regulatory compliance. Implementation costs rank second and need to be reduced for better adoption of the technology.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"4 ","pages":"Pages 192-199"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266641272300020X/pdfft?md5=60b9fdc449548892e3d68f7552e9dc71&pid=1-s2.0-S266641272300020X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138656402","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}