Sustainable Operations and Computers最新文献

{"title":"Designing a reliable aggregate production planning problem during the disaster period","authors":"Ernesto DR. Santibanez Gonzalez ,&nbsp;Sina Abbasi ,&nbsp;Mahsa Azhdarifard","doi":"10.1016/j.susoc.2023.08.004","DOIUrl":"10.1016/j.susoc.2023.08.004","url":null,"abstract":"<div><p>The purpose of this research is to introduce a Bi-Objective (BO) model for dealing with Aggregate Production Planning (APP) for a multi-product and multi-period Supply Chain Network (SCN) that incorporates multiple suppliers, factories, and demand points. One of the goals of the model is to minimize the total cost of this network during the disaster period. The other goal is to account for probabilistic lead times to maximize the minimum level of producers' reliability during the COVID-19 pandemic. They are done to ameliorate the system's performance and improve the reliability of production plans. Finally, considering that the mentioned problem is NP-hard, a Multi-Objective Imperialist Competitive Algorithm (MOICA) based on Pareto is used to solve the proposed model, and a Non-Dominated Sorting Genetic Algorithm II (NSGA-II) is also utilized to measure the performance of the mentioned algorithm. The generated experimental problems' results demonstrate the proposed algorithm's power in finding Pareto solutions. According to innovation, this is the first paper on these topics considering the conditions of the COVID-19 disaster.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"4 ","pages":"Pages 158-171"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412723000144/pdfft?md5=a9c152ee9a158d054da5ca34d9c8b8b3&pid=1-s2.0-S2666412723000144-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75038918","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":"Comparison of the response efficiency between the fractal and traditional emergency organizations based on system dynamic simulation","authors":"Zu Fuhao ,&nbsp;Zhao Qiuhong","doi":"10.1016/j.susoc.2022.12.001","DOIUrl":"https://doi.org/10.1016/j.susoc.2022.12.001","url":null,"abstract":"<div><p>The fractal emergency organization is a new kind of organization form with plenty of advantages compared with the traditional emergency organization. A system dynamic (SD) simulation model was built to test its effectiveness in this paper. In the developed model, the emergency organization form plays the premier role in the whole response process by influencing the pattern of local control, information transmission, and decision-makers hierarchy. The comparison analysis results show that the fractal emergency organization could finish the emergency response process in a more efficient way, making the supply chain of emergency resources more agile and the resources' organization more efficient. And when the situation deteriorates, and the demand surges, the advantages of fractal emergency organizations are more significant.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"4 ","pages":"Pages 29-38"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49730518","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 adaptive ant colony algorithm for crowdsourcing multi-depot vehicle routing problem with time windows","authors":"Siping Xue","doi":"10.1016/j.susoc.2023.02.002","DOIUrl":"https://doi.org/10.1016/j.susoc.2023.02.002","url":null,"abstract":"<div><p>Logistics distribution faces difficulties such as increasing delivery demands, demanding delivery time and lower delivery costs. However, the routing optimization for logistic distribution is not a simple vehicle routing problem (VRP). This study focuses on crowdsourcing multi-depot vehicle routing problem with time windows (MDVRPTW) problem, permitting one crowdsourcing driver to deliver multiple customers, which has not been covered yet. To quickly distribute many delivery tasks within a certain time, this paper proposes a two-stage MDVRPTW framework. The first stage is the division stage in which a k-means algorithm based on the elbow method is used to transform the multi-depot problem into several single-depot problems. Then a crowdsourcing VRPTW model is developed, which is a mixed-integer linear programming model. The second stage is the optimization stage, for which an adaptive ant colony (ADACO) algorithm is proposed to determine the most reasonable distribution routes for each distribution center. Solomons classic VRP data is then used to validate the models’ effectiveness, with the results confirming that the crowdsourcing MDVRPTW strategy could save 10.02% costs than traditional MDVRPTW strategy. By comparison, the ADACO algorithm could significantly improve the ACO’s weakness of falling into a local optimum, and would be more suitable for solving large-scale vehicle routing problems than the GUROBI solver.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"4 ","pages":"Pages 62-75"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49757472","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, emission trading system and carbon leakage: An approach based on neural networks and multicriteria analysis","authors":"Idiano D'Adamo ,&nbsp;Massimo Gastaldi ,&nbsp;Caroline Hachem-Vermette ,&nbsp;Riccardo Olivieri","doi":"10.1016/j.susoc.2023.08.002","DOIUrl":"https://doi.org/10.1016/j.susoc.2023.08.002","url":null,"abstract":"<div><p>Two transitions, green and digital, are changing the operations and strategies of industrial systems. At the same time, businesses are challenged to be globally competitive. Europe has a very ambitious agenda as it aims to be the first climate-neutral continent in 2050. The european emissions trading scheme (EU ETS) has proven to have facilitated the reduction of significant amounts of greenhouse gas emissions, but the risk of carbon leakage is present. This work seeks to explore these issues and their relationships. Through the use of a long short-term memory (LSTM) neural network, a model is built to determine the price of european union allowance (EUA) as a function of different financial energy futures. The results show that the model is very robust and the EUA tends to vary between 78 and 91 €/tCO₂. In addition, a multi-criteria decision analysis (MCDA) is applied to identify the best policy alternatives to enable businesses subject to the EU ETS to be competitive in global markets. The analysis is carried out with the help of academic and industrial experts and it emerges that the criteria considered most relevant are two: (i) public expenditure and its expected benefits and (ii) the industrial ecosystem. The policy implications identify that bonuses should be provided to businesses for innovative solutions that protect both the energy and raw material components. The framework of the 3E (Energy Efficiency, Renewable Energy, and Circular Economy) are critical to businesses' long-term strategies, flanked by digital development.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"4 ","pages":"Pages 147-157"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49757185","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":"Analysis of the factors influencing the stability of stored grains: Implications for agricultural sustainability and food security","authors":"Saifur Rahman Tushar ,&nbsp;Md. Fahim Bin Alam ,&nbsp;Sadid Md. Zaman ,&nbsp;Jose Arturo Garza-Reyes ,&nbsp;A.B.M. Mainul Bari ,&nbsp;Chitra Lekha Karmaker","doi":"10.1016/j.susoc.2023.04.003","DOIUrl":"https://doi.org/10.1016/j.susoc.2023.04.003","url":null,"abstract":"<div><p>The recent unprecedented situations like the COVID-19 pandemic and the Russia-Ukraine war have severely impacted food security and grain production in emerging economies. These countries can try to import grains to enhance secure food security, but this will strain their dollar reserve and endanger their financial stability. Under such circumstances, the adoption of sustainable grain storage practices is essential to reducing the unusual gap between grain production and grain availability. This research, therefore, explores the key factors that may affect the stability of stored grains to promote agricultural sustainability and food security in emerging economies. First, the study identifies the significant factors that influence the stability of stored grains from an emerging economy perspective. Then, the study employs an integrated approach consisting of Pareto analysis, fuzzy-based Total Interpretive Structural Modeling (TISM), and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis. Based on the literature review and expert feedback, nineteen factors were initially identified. After employing Pareto analysis, the top thirteen factors have been further analyzed using fuzzy TISM- fuzzy MICMAC to examine their interrelationships. The study findings indicate that “Proper training on advanced storage operations” is the most significant factor influencing sustainable grain storage operations. The study insights can help practitioners to focus more on the crucial aspects of the grain storage operation and can assist the policymakers and industry leaders of emerging economies in strategic decision-making to achieve agricultural sustainability and thus improve food security.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"4 ","pages":"Pages 40-52"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49730668","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":"Identifying the feasibility of ‘travelator roads’ for modern-era sustainable transportation and its prototyping using additive manufacturing","authors":"Sakshi Dhall ,&nbsp;Shanay Rab ,&nbsp;Saibal K. Pal ,&nbsp;Mohd Javaid ,&nbsp;Abid Ali Khan ,&nbsp;Abid Haleem","doi":"10.1016/j.susoc.2023.08.001","DOIUrl":"https://doi.org/10.1016/j.susoc.2023.08.001","url":null,"abstract":"<div><p>With the rising human population, travelling on static roads is insufficient to meet modern mobility demands. The global economy loses hundreds of billions of dollars yearly due to traffic inefficiencies, including accidents, pollution etc. We undertake an idea engineering exercise to propose a new concept of travelator roads for future sustainable transportation which has been unexplored for vehicular mobility and is thus the novelty of this work.</p><p>The proposal offers a paradigm shift from static roads and provides a more generic solution than other advanced transportation technologies. It caters to various United Nations Sustainable Development Goals and provides a safer, self-sustainable, energy-efficient &amp; environment-friendly solution for overcoming traffic violations, jams, road accidents etc. Travelator roads offer easy &amp; quick installation for transportation in rugged terrains &amp; congested areas thereby finding applications in diverse setups like defence, urban &amp; smart cities.</p><p>Design model and possible calculations are provided to evaluate it as a solution addressing various transportation-related issues. The research methodology in this work entails a review of the literature on current and contemporary transport technologies, followed by an idea engineering exercise to construct a new concept of Travelator roads from an interdisciplinary viewpoint. Further, we propose the application of Additive Manufacturing (AM) for adapting this concept into reality. An AM technology-based prototype for a travelator road can be manufactured to provide a better idea for its effective adaptation in transportation system because AM offers flexibility in design, the opportunity for shape optimization, simplicity in making modifications, shortened time to market, cheap capital needs. Due to material-efficient designs, less waste, and a decreased requirement for production tools, moulds, and dies, AM is projected to result in a significant reduction of raw materials and overall cost involved in actually realizing the concept of travelator roads for future sustainable transportation. Although, there are a number of potential technical issues with AM-based technologies, such as the durability of materials generated by AM for roads, the amount of time required to build sizable amounts of roads, and the upkeep and repair of these roads, which must be addressed.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"4 ","pages":"Pages 119-129"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49730824","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":"Identification of benefits, challenges, and pathways in E-commerce industries: An integrated two-phase decision-making model","authors":"Srikant Gupta ,&nbsp;Pooja.S. Kushwaha ,&nbsp;Usha Badhera ,&nbsp;Prasenjit Chatterjee ,&nbsp;Ernesto D.R. Santibanez Gonzalez","doi":"10.1016/j.susoc.2023.08.005","DOIUrl":"10.1016/j.susoc.2023.08.005","url":null,"abstract":"<div><p>The e-commerce industry has seen significant growth over the past decade as it focuses on convenience and accessibility, leading to a surge in online shopping with more and more consumers opting for it. At the same time, the e-commerce industry faces various challenges. In order to fully harness the potential of this industry, it is important to identify its benefits and challenges and focus on pathways to mitigate the challenges and harness its growth. This study utilizes the Delphi approach and involves experts from the e-commerce domain to get their opinions to identify the top ten benefits, challenges, and pathways for the e-commerce industry. Analytic Hierarchy Process (AHP) and Criteria Importance Through Intercriteria Correlation (CRITIC) methods are subsequently, employed to prioritize the identified factors. Results of the study revealed that factors such as affordable advertising &amp; marketing; availability and product variety; and Global reachability are the most important benefits, while technological upgradation; returns or refunds; and counterfeit products posed the greatest challenges for the industry. Government compliance check; better relationship with delivery partners; and strong data privacy and online security policies emerged as the best pathways. This study also provides valuable insights to businesses, policymakers, and researchers in the e-commerce industry on how to navigate the benefits, challenges, and pathways of this rapidly growing sector.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"4 ","pages":"Pages 200-218"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412723000156/pdfft?md5=b136724bd48709f0693691d55b7c067d&pid=1-s2.0-S2666412723000156-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85295588","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":"Applying blockchain technology for vaccination in the context of COVID-19 pandemic: a systematic review and meta-analysis","authors":"Ghanim.Hamid. Al-Khattabi","doi":"10.1016/j.susoc.2023.11.003","DOIUrl":"https://doi.org/10.1016/j.susoc.2023.11.003","url":null,"abstract":"<div><p>Blockchain, one of these new digital technologies, has special qualities like immutability, decentralization, and transparency that can be helpful in many different areas including managing electronic medical data and access rights, as well as mobile health. We reviewed all COVID-19-related and unrelated blockchain applications in the healthcare industry. MEDLINE, SpringerLink, Institute of Electrical and Electronics Engineers Xplore, ScienceDirect, arXiv, and Google Scholar were searched for pertinent reports up to July 29, 2021. There were articles with both technical and clinical designs, with or without prototype development. A total of 85 375 articles were assessed, and 415 full-length reports—37 of which were connected to COVID-19 and 378 of which were unrelated—were ultimately incorporated into the study. The three primary COVID-19-related applications that were reported were contact tracing, monitoring of immunity or vaccination passports, and pandemic control and surveillance. Management of electronic medical records, internet of things (such as remote monitoring or mobile health), and supply chain monitoring were the top three non-COVID-19-related applications. The majority of publications (277 [667 %] of 415] focused on the technical performance of blockchain prototype systems, whereas nine (2 %) research indicated actual clinical use and uptake. Only technical studies (129 [311 %] of 415) made up the remaining investigations. The most popular platforms were Hyperledger and Ethereum. Numerous COVID-19-related and unrelated health care applications of blockchain technology are possible. The necessity to adapt fundamental blockchain technology for use in healthcare settings is highlighted by the fact that the majority of current research is still in the technical stage and only a small number offers practical clinical applications.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"4 ","pages":"Pages 183-191"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412723000181/pdfft?md5=073e6ad201f87146aca8d9e6be48d3bf&pid=1-s2.0-S2666412723000181-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138549257","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":"Exploration of the drivers influencing the growth of hybrid electric vehicle adoption in the emerging economies: Implications towards sustainability and low-carbon economy","authors":"Mohammad Hossain Limon,&nbsp;Binoy Debnath,&nbsp;A. B. M. Mainul Bari","doi":"10.1016/j.susoc.2023.04.002","DOIUrl":"https://doi.org/10.1016/j.susoc.2023.04.002","url":null,"abstract":"<div><p>The heavy reliance of the transportation and power generation sector on fossil fuels is seriously impacting the environment. Transitioning towards more sustainable transportation modes is necessary to reduce this dependency on fossil fuels. Even though shifting toward electric vehicles (EVs) can reduce harmful emissions, due to the lack of adequate charging infrastructures, underdeveloped power transmission systems, and increased cost of power generation, it is difficult for a developing country to adopt and rely heavily on EVs. However, developing countries like Bangladesh can adopt a different strategy to address this issue. Harmful emission reduction is also possible by transitioning from conventional internal combustion engine (ICE) vehicles to hybrid electric vehicles (HEVs). The drivers that can promote the expansion of HEV adoption have not been extensively studied to date, which inspired the proposed study. This study explores the drivers for the growth of HEV adoption in emerging economies. First, the study identifies seventeen drivers from the literature review and expert feedback. Then the identified drivers were assessed using the Bayesian Best-Worst method (BWM). The study findings indicate that no requirement for a charging station, incentivizing consumers through policy measures, and enhanced fuel efficiency are the top three drivers influencing the growth of HEV adoption in developing or emerging economies. This study can help the decision-makers and end users in developing counties to gradually shift towards a low-carbon emission-based economy and ensure a greener and more sustainable future.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"4 ","pages":"Pages 76-87"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49760917","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":"A systematic analysis of machine learning and deep learning based approaches for identifying and diagnosing plant diseases","authors":"Imtiaz Ahmed,&nbsp;Pramod Kumar Yadav","doi":"10.1016/j.susoc.2023.03.001","DOIUrl":"https://doi.org/10.1016/j.susoc.2023.03.001","url":null,"abstract":"<div><p>In agriculture, one of the most challenging tasks is the early detection of plant diseases. It is essential to identify diseases early in order to boost agricultural productivity. This problem has been solved with machine learning and deep learning techniques using an automated method for detecting plant diseases on large crop farms which is beneficial because it reduces monitoring time. In this paper, we used the dataset \"Plant Village\" with 17 basic diseases, with a display of four bacterial diseases, two viral illnesses, two mould illnesses, and one mite-related disease. A total of 12 crop species are also shown with images of unaffected leaves. The machine learning approaches viz support vector machines (SVMs), gray-level co-occurrence matrices (GLCMs), and convolutional neural networks (CNNs) are used for the development of prediction models. With the development of backpropagation ANNs, artificial intelligence for classification has also evolved. A K-mean clustering operation is also used to detect disease based on the real-time leaf images collected.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"4 ","pages":"Pages 96-104"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49760925","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}