Sustainable Operations and Computers最新文献

{"title":"A systematic review of life cycle assessments of 3D concrete printing","authors":"Arash Motalebi,&nbsp;Mohammad Abu Hasan Khondoker,&nbsp;Golam Kabir","doi":"10.1016/j.susoc.2023.08.003","DOIUrl":"10.1016/j.susoc.2023.08.003","url":null,"abstract":"<div><p>The construction industry plays a crucial role in shaping our built environment, and it is imperative to adopt more sustainable and innovative practices, technologies, and tools to minimize the environmental impact. Recently, 3D printing technology has emerged as the main element of the fourth industrial revolution, Industry 4.0 which offers numerous benefits in manufacturing, including complete design freedom, savings in materials and time, enhanced efficiency, and so on. This novel technology is positively impacting various industries, including automotive, aerospace, biomedical, and now the construction industry as well. The present study aims to investigate the ecological impacts of 3D concrete printing (3DCP) by conducting a comprehensive literature review of the published articles that focused on the life cycle assessment of 3DCP-processed units. The objective was to identify current trends, areas of study that require further attention, and opportunities to lower energy consumption and environmental impacts. The literature review found that 3DCP associates with a significant reduction in global warming potential when compared to traditional construction using ordinary Portland cement-based concrete. From the life cycle analysis for 3D printed concrete performed in some articles, this review has identified opportunities to enhance the durability of 3DCP by using non-traditional materials. Additionally, improving the energy efficiency of the printing system and optimizing the structural design of printed structures can further enhance their environmental performance.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 41-50"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412723000132/pdfft?md5=2e7462e2254f48c8102561f0dba8d5f6&pid=1-s2.0-S2666412723000132-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83440764","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":"A systematic literature review to examine the role of additive manufacturing in achieving sustainable development goals","authors":"Abdul Faheem ,&nbsp;Mohd Asif Hasan ,&nbsp;Gaurav Kumar Badhotiya ,&nbsp;Syed Mithun Ali","doi":"10.1016/j.susoc.2024.08.001","DOIUrl":"10.1016/j.susoc.2024.08.001","url":null,"abstract":"<div><div>This study is an exhaustive investigation into the role of additive manufacturing in achieving sustainable development goals (SDGs). Due to its compatibility with intricate structures, additive manufacturing is widely utilised in a variety of industry sectors. This paper intends to examine the various opportunities and significance of additive manufacturing for the advancement of the SDGs. In addition, a number of engineering materials referred to as metals and alloys, ceramics, polymers, and composites are the subject of extensive research to enhance the role of additive manufacturing in the attainment of SDGs. This study demonstrates that sustainable development via additive manufacturing can be achieved through the route of: (a) circular economy, (b) life cycle assessment, (c) environmental aspects, and (d) recycled materials. Preferred Reporting Items for Systematic Reviews and Meta Analysis (PRISMA) framework is utilized to perform a systematic literature review. Despite the fact that the research demonstrates a clear improvement in waste reduction, environmental friendliness, and energy consumption reduction, it cannot be denied that significant progress remains to be made in these areas.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 216-226"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142428783","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":"Joint production and sustainability investment decisions for a risk-averse manufacturer under a Cap-and-trade policy","authors":"Hongling Lu ,&nbsp;Qingguo Bai ,&nbsp;Fanwen Meng","doi":"10.1016/j.susoc.2024.06.003","DOIUrl":"https://doi.org/10.1016/j.susoc.2024.06.003","url":null,"abstract":"<div><p>This study considers a risk-averse manufacturer that invests in sustainability technology to reduce carbon emissions under a cap-and-trade policy. In this study, stochastic demand is initially modeled as a linear function of both the sales price and sustainability level. Employing the newsvendor model framework, the objective of the risk-averse manufacturer is assessed using a mean-variance approach. By analyzing serval optimal properties of the joint operational decisions, this study provides the closed-form solutions of the sales price and sustainability level. This study further provides several numerical examples to illustrate the theoretical results and investigates the impacts of the major parameter on the operations of the risk-averse manufacturer.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 131-140"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412724000084/pdfft?md5=88cef5d455e8d7dfab2c7fb14a273a0e&pid=1-s2.0-S2666412724000084-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141606391","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":"Green technology innovation guiding policies under the synergy of government and financial institutions","authors":"Yanhong Ma ,&nbsp;Hui Zhao","doi":"10.1016/j.susoc.2024.09.003","DOIUrl":"10.1016/j.susoc.2024.09.003","url":null,"abstract":"<div><div>Guiding enterprises towards green technology innovation (GTI) is a pivotal strategy for mitigating pollution and energy wastage, thereby facilitating the transition towards a green and low-carbon economy. In order to solve the single irrationality of the existing guidance policy and improve its implementation effect, parameters of environmental regulation and green credit policy are hereby introduced to construct a tripartite evolutionary game model of the government, financial institutions, and enterprises. The evolutionary stability of the government and financial institutions in guiding enterprises' GTI is analyzed. Simulation analysis method is used to visualize the evolution path of the game system under different policy options. The study results show that increasing interest rate subsidies can promote the financial institutions and the government to formulate GTI guidance policies. Besides, there is a significant synergistic effect between interest rate subsidies and green credits, which can efficiently foster GTI within enterprises and decrease their innovation costs. Building on this foundation, further increasing the carbon tax rate can lead to a reduction in government subsidy expenditures, improve the evolution rate of the ideal strategy, and expedite the realization of a green, low-carbon transformation.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 269-277"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701101","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":"Sustainable CNC machining operations, a review","authors":"Mohsen Soori ,&nbsp;Fooad Karimi Ghaleh Jough ,&nbsp;Roza Dastres ,&nbsp;Behrooz Arezoo","doi":"10.1016/j.susoc.2024.01.001","DOIUrl":"10.1016/j.susoc.2024.01.001","url":null,"abstract":"<div><p>To minimize the quantities of carbon emissions produced by the production process, sustainable manufacturing should be implemented. CNC machining operations can be made more sustainable by optimizing machining parameters to reduce material waste and energy consumption. In order to achieve sustainable CNC machining operations, cutting tool paths can be optimized. Investing in energy-efficient CNC machines can significantly reduce energy consumption to minimize the negative impact of CNC machining operations. Virtual simulation and analysis of CNC machining operations can be used to identify areas where sustainable practices can be implemented in order to reduce waste and improve efficiency during machining operations. The study aims to provide a comprehensive overview of the current state of sustainable CNC machining practices by summarizing the latest research and developments in this field. It identifies the economic and environmental benefits of sustainable CNC machining, such as reduced operational costs, improved resource utilization, and compliance with environmental regulations. It offers insights into the latest advancements, practices, and future prospects, encouraging manufacturers to embrace sustainable CNC machining as a pivotal step towards a greener and more efficient manufacturing ecosystem. Thus, the efficiency and product safety of the process of producing parts with CNC machine tools can be improved.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 73-87"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412724000035/pdfft?md5=91c54d2865aed7587785e70b1d60ccfb&pid=1-s2.0-S2666412724000035-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139639223","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":"Balancing core enterprises’ triple bottom line challenge: Considering the involvement of NGOs","authors":"Qianzhou Deng ,&nbsp;Xiukun Zhao ,&nbsp;Lipan Feng ,&nbsp;Fangchao Xu","doi":"10.1016/j.susoc.2024.09.002","DOIUrl":"10.1016/j.susoc.2024.09.002","url":null,"abstract":"<div><div>In light of the triple bottom line (TBL) challenges of the core enterprise in promoting sustainable supply chains, we examine how non-governmental organisations’ (NGOs) involvement influences on the motivation and decision-making of core enterprises in supply chains. We analyse the optimal decisions when the price of a unit product is endogenous and exogenous. We find that the core enterprise considering NGO involvement may set a higher price but make a lower eco-effort. We further determine which features of the market are the least affected by NGOs and which features of the core enterprise have the most motivation to lead sustainable innovations. Using numerical examples, we further extend our results by differentiating the diverse types of core enterprises as market players. We find that a hybrid market composed of multiple players appears to have more certain sustainable policy. We provide decision-making implications for core enterprises to operate sustainable supply chains and contribute further knowledge in terms of collaborative sustainable governance to balance the TBL challenge. We hope to provide further insights into the link between the operation of supply chains and the public involvement of NGOs and consumers.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 257-268"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701100","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":"Mapping the evolution of industry 4.0 and sustainability research: A comprehensive bibliometric study","authors":"Pooja Mishra","doi":"10.1016/j.susoc.2024.07.003","DOIUrl":"10.1016/j.susoc.2024.07.003","url":null,"abstract":"<div><div>In recent years, there has been a notable expansion and increased interest in the realms of Industry 4.0 (I4.0) and sustainability, capturing the attention of scholars and practitioners on a global scale. This research conducted an extensive review of 256 research papers published in 97 Scopus-indexed journals between 2016 and 2022, also examining the growth of Industry 4.0 (I4.0) and sustainability. Data was collected from the Scopus database using relevant keywords, VOSviewer and Biblioshiny tools were employed for bibliometric analysis, encompassing citation trends, authorship patterns, and keyword analysis. The findings of this study reveal a surge in literature since 2016, with noteworthy keywords such as sustainability, industry 4.0, circular economy, industrial development, and decision-making gaining prominence. This study offers a comprehensive evaluation of existing scholarly work in the field of sustainability reporting, highlighting emerging trends and proposing future research directions in I4.0 and corporate sustainability. Furthermore, it provides practical implications for organizations, policymakers, and stakeholders, bridging the gap between theory and practice and enhancing the practical value of research.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 227-238"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142428784","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":"Efficient resource allocation in cloud environment using SHO-ANN-based hybrid approach","authors":"Sanjeev Sharma,&nbsp;Pradeep Singh Rawat","doi":"10.1016/j.susoc.2024.07.001","DOIUrl":"10.1016/j.susoc.2024.07.001","url":null,"abstract":"<div><p>The cloud computing paradigm provides services to users in an on-demand fashion using high-speed Internet. This Internet-based computing paradigm provides resources on a rent basis without any fault. Virtual machine resource allocation is one of the challenging concerns in a cloud computing environment. The existing static, dynamic, and Meta-Heuristic approaches provide the solution to the virtual machine allocation problem. These techniques stuck with the local optimal solution. The slow convergence rate leads to the optimal solution locally and fails to provide the optimal solution Globally. This manuscript proposes a hybrid Spotted Hyena optimizer and artificial neural network, named the SHO-ANN technique, to provide a solution to the virtual machine assignment problem. The presented hybrid technique is evaluated and analyzed using performance metrics “Energy Consumption (Kwh) (8.54%), Host Utilization (24.8%), Average Execution Time(ms) (26.33%), SLA Violations (1.33%), and Number of Migrations (Counts) (19.73%)”. The spotted hyena optimizer is used to provide the vast data set to the ANN model for better accuracy. The hybrid approach provides an optimal solution globally with high convergence. The experimental results exhibit that the SHO-ANN outperforms the IqMc, SHO, and Genetic approaches using real workload scenarios and fabricated scenarios.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 141-155"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412724000114/pdfft?md5=a7adb3626c54bd4cabf3f0823bdbed94&pid=1-s2.0-S2666412724000114-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141853378","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":"Improving power output wind turbine in micro-grids assisted virtual wind speed prediction","authors":"Maryam Ozbak ,&nbsp;Mahdi Ghazizadeh-Ahsaee ,&nbsp;Mahmoud Ahrari ,&nbsp;Mohammadreza Jahantigh ,&nbsp;Sadegh Mirshekar ,&nbsp;Mirpouya Mirmozaffari ,&nbsp;Ali Aranizadeh","doi":"10.1016/j.susoc.2024.06.004","DOIUrl":"https://doi.org/10.1016/j.susoc.2024.06.004","url":null,"abstract":"<div><p>Wind energy is an alternative form of energy easily obtainable in the landscape. However, the main challenge is to extract electrical power from varying wind speeds. Wind energy can be a significant production resource for power electronics technologies, converters, and electrical generators. Due to their dependence on wind speed, the output power from wind turbines experiences severe fluctuations with the change in wind speed, and ripples increase the output power from the wind turbine. Therefore, the engineers’ critical research prediction will smooth these extraction fluctuations. Several speed prediction methods have been used to reduce the changes in the output power of wind turbines. One of these wind speed prediction methods is a fast energy storage system that can be charged and discharged in seconds. Applying wind speed prediction to overcome the slowness of the wind source will be the primary approach considered in this article. Also, a wind turbine with a nominal power of 50 kW and an ultra-capacitor storage system are determined, and these sources are made in MATLAB/SIMULINK softwareIn this study, the control signal for adjusting the turbine pitch angle is derived from both actual and predicted data. The signal from actual data undergoes a multiplication by 0.8, while the signal from predicted data is multiplied by 0.2. This approach serves two purposes: firstly, it helps prevent overshooting of turbine power at the initial stages, ensuring a smoother transition. Secondly, it aids in maintaining a consistent power output of 50 kW during subsequent moments. By combining actual and predicted data in this weighted manner, the control system achieves a balanced response, effectively managing turbine power dynamics. Finally, the results show that utilizing wind speed prediction to improve output wind turbine in Micro-grids (MGs) will reduce fluctuations in the wind source's output power and the ultra-capacitor storage.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 119-130"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412724000102/pdfft?md5=c6f396075cae51c2da7ced5fd9320e34&pid=1-s2.0-S2666412724000102-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141542943","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":"A multi-objective grey wolf optimizer for energy planning problem in smart home using renewable energy systems","authors":"Sharif Naser Makhadmeh ,&nbsp;Mohammed Azmi Al-Betar ,&nbsp;Feras Al-Obeidat ,&nbsp;Osama Ahmad Alomari ,&nbsp;Ammar Kamal Abasi ,&nbsp;Mohammad Tubishat ,&nbsp;Zenab Elgamal ,&nbsp;Waleed Alomoush","doi":"10.1016/j.susoc.2024.04.001","DOIUrl":"https://doi.org/10.1016/j.susoc.2024.04.001","url":null,"abstract":"<div><p>This paper presents the energy planning problem (EPP) as an optimization problem to find the optimal schedules to minimize energy consumption costs and demand and enhance users’ comfort levels. The grey wolf optimizer (GWO), One of the most powerful optimization methods, is adjusted and adapted to address EPP optimally and achieve its objectives efficiently. The GWO is adapted due to its high performance in addressing NP-complex hard problems like the EPP, where it contains efficient and dynamic parameters that enhance its exploration and exploitation capabilities, particularly for large search spaces. In addition, new energy and real-world resources based on solar renewable energy systems (RESs) are combined with the proposed GWO to enhance its performance and ensure the optimisation of EPP objectives. Furthermore, EPP is presented as a multi-objective planning problem to optimize all objectives simultaneously. To efficiently investigate the proposed method performance, the results obtained by the GWO with the RESs are compared in three stages: comparison with original methods without RESs, comparison with methods using RESs, and comparison with state-of-the-art. The obtained results proved the robust performance of the proposed method in handling EPP and optimizing its objectives.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 88-101"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412724000059/pdfft?md5=99ddaa3ce29e67f140751215f612b41b&pid=1-s2.0-S2666412724000059-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140906095","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}