Lakshmi P. Dinesh, Nameer Al Khafaf, Brendan McGrath
{"title":"A short term multistep forecasting model for photovoltaic generation using deep learning model","authors":"Lakshmi P. Dinesh, Nameer Al Khafaf, Brendan McGrath","doi":"10.1016/j.susoc.2024.11.003","DOIUrl":"10.1016/j.susoc.2024.11.003","url":null,"abstract":"<div><div>Developed countries have substantial investments in renewable energy currently, particularly Photovoltaics (PV), for achieving net-zero emissions. But PV generation is highly volatile and hence achieving supply-demand balance is challenging. Robust forecasting models will help PV integration and penetration into the grid, making sure that there is an adequate supply to match the demand, ensuring reliability and stability of power systems. In this paper, a deep learning model is developed for PV generation multistep forecasting using a small subset of weather variables with a 15-minute resolution, with very low computation time. The forecasts very closely align with the actual generation, with a Normalized Mean Absolute Error (nMAE) of 0.04, much less than 1 kWh in terms of error in forecast generation. Direct and multioutput forecasting are combined here. Comparisons with Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU) show performance improvement, by <span><math><mo>∼</mo></math></span>15% compared to LSTM and <span><math><mo>∼</mo></math></span>17% compared to GRU in terms of average nMAE. The model can be used in urban environments for short term forecasting. Also, if an accurate forecast is available, PV asset owners can plan their generation better when they export power back into the grid, make better bids in the energy markets, increase their revenues and eventually increase the share of renewables in the energy market.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"6 ","pages":"Pages 34-46"},"PeriodicalIF":0.0,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142748299","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}
Francesco Bonesso , Idiano D'Adamo , Massimo Gastaldi , Marco Giannini
{"title":"Green hydrogen as a sustainable operations strategy: A socio-economic perspective","authors":"Francesco Bonesso , Idiano D'Adamo , Massimo Gastaldi , Marco Giannini","doi":"10.1016/j.susoc.2024.11.002","DOIUrl":"10.1016/j.susoc.2024.11.002","url":null,"abstract":"<div><div>Hydrogen is an energy carrier that can support the development of sustainable and flexible energy systems. However, decarbonization can occur when green sources are used for energy production and appropriate water use is manifested. This work aims to propose a socio-economic analysis of hydrogen production from an integrated wind and electrolysis plant in southern Italy. The estimated production amounts to about 1.8 million kg and the LCOH is calculated to be 3.60 €/kg in the base scenario. Analyses of the alternative scenarios allow us to observe that with a high probability the value ranges between 3.20–4.00 €/kg and that the capacity factor is the factor that most affects the economic results. Social analysis, conducted through an online survey, shows a strong knowledge gap as only 27.5 % claim to know the difference between green and grey hydrogen. There is a slight propensity to install systems near their homes, but this tends to increase due to increased knowledge on the topic. Respondents state sustainable behaviours, and this study suggests that these aspects should also be transformed into the energy choices that are implemented every day. The study suggests information to policy-makers, businesses and citizens as it outlines that green hydrogen is an operations strategy that moves toward sustainable development.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"6 ","pages":"Pages 1-14"},"PeriodicalIF":0.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142748297","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 stochastic sustainable Closed-Loop Supply Chain Networks for used solar photovoltaic systems: Meta-heuristic comparison and real case study","authors":"Peiman Ghasemi , Syed Mithun Ali , Milad Abolghasemian , Reza Ahmadi Malakoot , Adel Pourghader Chobar","doi":"10.1016/j.susoc.2024.11.001","DOIUrl":"10.1016/j.susoc.2024.11.001","url":null,"abstract":"<div><div>This research presents a novel approach to setting up a sustainable Closed-Loop Supply Chain (CLSC) network for used solar photovoltaic (PV) systems, addressing end-of-life product waste from solar panel installations and manufacturing centers. The model accounts for uncertainties in PV systems and aims to efficiently collect, refurbish, and recycle used solar PV systems, promoting a circular and environmentally responsible waste management strategy. The supply chain network comprises vendors, collection centers, hybrid centers, distribution centers, and manufacturing centers, with objectives to maximize total profit, minimize environmental risk, and maximize service levels by demonstrating the profitable reuse of used solar photovoltaic systems by manufacturers. The epsilon-constraint method is utilized to handle the model's multi-objectiveness and identify Pareto optimal solutions. A case study in Iran is conducted to validate the methodology's performance, comparing results obtained from three meta-heuristic methods: Non-Dominated Sorting Genetic Algorithm-II (NSGA-II), Multi-Objective Particle Swarm Optimization (MOPSO), and Multi-Objective Gray Wolf Optimization (MOGWO). The average error rates are 0.0358 for MOGWO, 0.1248 for MOPSO, and 0.2066 for NSGA-II. Sensitivity analysis highlights the significant impact of demand variations on all objective functions. Lastly, the numerical results are discussed to provide managerial insights for informed decision-making.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"6 ","pages":"Pages 15-33"},"PeriodicalIF":0.0,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142748298","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}
Reza Rajabi, Elham Shadkam, Seyed Mohammad Khalili
{"title":"Design and optimization of a pharmaceutical supply chain network under COVID-19 pandemic disruption","authors":"Reza Rajabi, Elham Shadkam, Seyed Mohammad Khalili","doi":"10.1016/j.susoc.2024.04.002","DOIUrl":"10.1016/j.susoc.2024.04.002","url":null,"abstract":"<div><p>Efficient management of pharmaceutical supply chains during the COVID-19 pandemic is critical to mitigate material and human losses. This paper addresses the design of a pharmaceutical supply chain network under pandemic disruption, introducing a novel bi-objective mathematical model. Traditional supply chain management strategies often fall short in the face of sudden disruptions, necessitating the development of resilient systems. Our model seeks to minimise economic costs and shortages as primary objectives, addressing the specific challenge of sudden surges in demand for pharmaceuticals. To enhance resilience, we propose solutions including the establishment of temporary distribution points and the creation of backup inventory. We employ a scenario-based, discrete, and linear modelling approach, solving the model using goal-planning methods and validating its efficacy through numerical examples. Additionally, we conduct a case study in the metropolitan area of Mashhad, further demonstrating the applicability and effectiveness of our approach. This research contributes to the advancement of resilient supply chain design in the pharmaceutical sector, offering insights that can inform improved management practices and bolster resilience in pharmaceutical supply chains.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 102-111"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412724000060/pdfft?md5=73a46da91cc1b5e95810c1a51e1439bd&pid=1-s2.0-S2666412724000060-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141137289","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}
Gaoxiang Lou , Ying Zhang , Haicheng Ma , Xuechen Tu , Yi-Ming Wei
{"title":"Eco-label strategy selection for green product development in supply chain","authors":"Gaoxiang Lou , Ying Zhang , Haicheng Ma , Xuechen Tu , Yi-Ming Wei","doi":"10.1016/j.susoc.2023.12.003","DOIUrl":"10.1016/j.susoc.2023.12.003","url":null,"abstract":"<div><p>In a supply chain where a supplier and a manufacturer engage in green innovation activities, we apply the Stackelberg game to investigate the influence of consumer trust and consumer green awareness on supply chain performance when employing self-labeling and certification label strategies. Our research delves into the optimal eco-label strategy through comparative analysis, resulting in the following key points: (1) Under the certification label strategy, the manufacturer and supply chain profits may decrease in consumer green awareness. (2) The manufacturer tends to choose self-labeling strategy, but the supplier has higher profits under certification label strategy. (3) The social welfare under the certification label is greater than that of self-labeling when the cost of certification and consumer trust are low. Further, we extend the certification label from single level to multi-level, and found that when the cost coefficient of manufacturer's green investment is high, a high-level certification may be disadvantageous for the manufacturer. In addition, when consumer trust and cost coefficient of manufacturer's green investment are both low, the manufacturer is more likely to preferentially choose multi-level certification label over self-labeling.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 51-59"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412724000011/pdfft?md5=dd461acc856094ee76c52c05d4e817f3&pid=1-s2.0-S2666412724000011-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139540027","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}
Arash Motalebi, Mohammad Abu Hasan Khondoker, Golam Kabir
{"title":"A systematic review of life cycle assessments of 3D concrete printing","authors":"Arash Motalebi, Mohammad Abu Hasan Khondoker, 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":"Joint production and sustainability investment decisions for a risk-averse manufacturer under a Cap-and-trade policy","authors":"Hongling Lu , Qingguo Bai , 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}
Abdul Faheem , Mohd Asif Hasan , Gaurav Kumar Badhotiya , Syed Mithun Ali
{"title":"A systematic literature review to examine the role of additive manufacturing in achieving sustainable development goals","authors":"Abdul Faheem , Mohd Asif Hasan , Gaurav Kumar Badhotiya , 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":"Green technology innovation guiding policies under the synergy of government and financial institutions","authors":"Yanhong Ma , 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 , Fooad Karimi Ghaleh Jough , Roza Dastres , 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}