Sustainable Operations and Computers最新文献

{"title":"Data driven multi-objective optimization of sustainable aviation emergency network for forest fire rescue","authors":"Jun Huang ,&nbsp;Qiuhong Zhao","doi":"10.1016/j.susoc.2025.04.001","DOIUrl":"10.1016/j.susoc.2025.04.001","url":null,"abstract":"<div><div>Forest fires occur abruptly and can be detrimental, posing significant threats to human safety, forest resources, and the overall environment. Timely detection and effective response are important to fight against forest fires. Aviation emergency rescue plays an increasingly important role in forest fire response due to the characteristics of fast response speed, low terrain requirements and less fire site restrictions. At present, forest fire aviation emergency has been paid more attention in the world, however, current researches provide limited support to actual situation due to the lack of systematization and pertinently. In this paper, based on remote sensing information and other multi-party data, a two-stage multi-objective stochastic optimization model of sustainable aviation emergency network for forest fire rescue is presented. The proposed model aims to minimize the maximum of effective operational distance for aerial emergency rescue efforts and the total cost, which includes ecological losses caused by forest fires. To solve the model, an algorithm incorporating the NSGA-II algorithm and SAA method is proposed. Further, a case of Hainan Province in China is studied, guiding the application of the proposed theoretical methods. The findings demonstrate considerable value in addressing forest fires and safeguarding forest resources, thereby contributing to the sustainable development of both the environment and society.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"6 ","pages":"Pages 116-129"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143898815","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":"Enhancing circular economy through industrial symbiosis: An agent-based simulation analysis of supply chain dynamics","authors":"Rebecca Fussone ,&nbsp;Caterina Sammatrice ,&nbsp;Salvatore Cannella ,&nbsp;Roberto Dominguez","doi":"10.1016/j.susoc.2025.03.002","DOIUrl":"10.1016/j.susoc.2025.03.002","url":null,"abstract":"<div><div>Industrial Symbiosis is recognized in the international context as a useful approach to move toward a Circular Economy. Here, the use of resources in industrial systems is improved, since waste and by-products generated by a firm are upcycled and used as input by other firms, reducing raw material extraction and waste sent to landfills. This work presents an analysis of the dynamic performance when an industrial symbiosis is implemented between two supply chains, where one represents the supplier of the other. Specifically, using the agent-based modeling simulation approach, the behavior and dynamics of the symbiotic supply chain are evaluated in different scenarios by adopting key performance indicators, such as the efficiency of symbiotic exchange, the environmental index, and the bullwhip effect. Based on our analysis, we provide useful managerial suggestions to create supportive and collaborative supply chains to support the Circular Economy.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"6 ","pages":"Pages 130-139"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144131060","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":"Sustainable economic production quantity optimization (SEPQ) considering food waste emission and water waste emission using genetic algorithm","authors":"Windy Puspika ,&nbsp;Ilyas Masudin ,&nbsp;Thomy Eko Saputro ,&nbsp;Salman Alfarisi ,&nbsp;Dian Palupi Restuputri ,&nbsp;S. Sarifah Radiah Shariff","doi":"10.1016/j.susoc.2025.05.003","DOIUrl":"10.1016/j.susoc.2025.05.003","url":null,"abstract":"<div><div>This study presents a novel approach for optimizing Sustainable Economic Production Quantity (SEPQ) by incorporating food waste and water waste emissions into the production planning process through the use of a Genetic Algorithm (GA). The objective is to minimize the environmental impacts while maximizing output volumes and decreasing total production costs. The Genetic Algorithm was utilized in a small and medium-sized firm that specializes in the multi-products food manufacturing sector. The GA was applied to systematically seek solutions that were close to optimal through 100 simulations. By implementing the optimized parameters in a case study of the SME industry, the production quantities for the two products were determined optimally with minimal total annual costs. The sensitivity analysis has shown that the SEPQ model remains strong and unaffected by changes in warehouse capacity, costs of solid waste disposal, and costs of liquid waste sales. This highlights the significance of waste management in attaining cost-effectiveness. The study offers helpful insights into the equilibrium between economic efficiency and environmental sustainability in production systems, hence contributing to the continuous advancement of sustainable manufacturing strategies.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"6 ","pages":"Pages 140-152"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144221124","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":"Decisions and coordination of authorized remanufacturing supply chain considering power structures and carbon tax policy","authors":"Yanpei Cheng ,&nbsp;Xiqiang Xia ,&nbsp;Yanliang Zhang ,&nbsp;Jingrui Zhang","doi":"10.1016/j.susoc.2025.01.001","DOIUrl":"10.1016/j.susoc.2025.01.001","url":null,"abstract":"<div><div>The exponential expansion of the remanufacturing industry is propelled by a dual impetus of environmental conservation and economic advantages. Numerous original equipment manufacturers (OEMs) opt to entrust remanufacturing operations to authorized remanufacturers (ARs). Recognizing the power differences between an OEM and an AR, this paper establishes a game model based on three power structures: namely, OEM-led Stackelberg (NS model), AR-led Stackelberg (RS model) and Vertical Nash (VN model). We explore the effect of various power structures on pricing decisions and coordination in the authorized remanufacturing supply chain. Through equilibrium comparison, the following conclusions can be drawn: (1) In the RS model, the lowest authorized fee contributes to maximizing the market share of remanufactured products. However, the OEM's intellectual property is not adequately protected. In the VN model, heightened market competition will result in the lowest profit for both manufacturers. Furthermore, due to the latecomer advantage, the OEM achieves the highest profit in the RS model, while the AR earns the highest profit in the NS model. (2) In either model, implementing the carbon tax policy leads to an increase in price of both products, a decrease in the production of new products, an increase in the production of remanufactured products, and an overall reduction in carbon emissions. Notably, it is the NS model that exhibits the greatest environmental improvement. Conversely, the extent of environmental improvements in the VN and RS models depends on the consumers’ preferences for remanufactured products. (3) Through a cost-sharing contract, in which the AR collaborates with the OEM to share recycling costs, both the recovery rate of discarded products and the sales of remanufactured products increase significantly. A Pareto improvement in profits is observed when the sharing ratio exceeds a certain threshold. However, it's crucial to acknowledge that the overall profits of the supply chain do not reach the level that can be achieved through centralized decision-making. Based on this insight, a cost-sharing fixed authorized fee contract is introduced. In this arrangement, the AR compensates the OEM for its share of recycling costs by paying a fixed authorized fee, thereby facilitating supply chain coordination.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"6 ","pages":"Pages 85-103"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143821306","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":"Carbon information disclosure mechanism considering extended producer responsibility and low carbon preference under outsourcing remanufacturing","authors":"Xiukun Zhao ,&nbsp;Yajiao Liu ,&nbsp;Jinhui Zou ,&nbsp;Qianzhou Deng ,&nbsp;Rong Han","doi":"10.1016/j.susoc.2025.02.001","DOIUrl":"10.1016/j.susoc.2025.02.001","url":null,"abstract":"<div><div>The implementation of EPR information disclosure responsibility is one of the four key tasks in the implementation of EPR. In order to explore the impact mechanism of carbon information disclosure behavior of manufacturers and remanufacturers considering extended producer responsibility (EPR) and low-carbon preference on corporate profits of outsourced remanufacturing closed-loop supply chain, this study constructs a two-level supply chain composed of manufacturers and remanufacturers. This paper integrates corporate carbon disclosure with recycling and remanufacturing activities and develop four models according to whether enterprises fulfill EPR information disclosure responsibilities. This study analyzes the equilibrium strategies of manufacturers and remanufacturers in four modes through Stackelberg game and finds that: Firstly, the implementation of EPR is more conducive to enhancing the overall profitability of enterprises compared to a scenario without EPR. Concurrently, enterprises will focus more on consumer low-carbon preferences and market dynamics when implementing EPR policies, thereby striving to enhance their competitive edge. Secondly, manufacturers and remanufacturers should collaborate actively in carbon information disclosure activities to achieve coordinated development between upstream and downstream enterprises. Such collaboration is beneficial for increasing the product recovery rate of remanufacturers. Lastly, social welfare is maximized under a full EPR scenario. The state of social welfare varies with changes in cost subsidy disclosure and consumer low-carbon preferences. Notably, the disclosure efforts of remanufacturers contribute more significantly to social welfare than those of manufacturers.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"6 ","pages":"Pages 71-84"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143821305","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":"Effects of the buy-online-and-assemble-in-store approach: Implications for firms, consumers, and environment","authors":"Guanxiang Zhang,&nbsp;Xiangzhen Meng,&nbsp;Lipan Feng,&nbsp;Qi Kou","doi":"10.1016/j.susoc.2025.03.001","DOIUrl":"10.1016/j.susoc.2025.03.001","url":null,"abstract":"<div><div>The buy-online-and-assemble-in-store (BOAS) approach has been implemented by different contemporary firms (i.e. IKEA and TUHU); however, the implications of BOAS for firms, consumers, and environment remain unclear. To fill this gap, this study considers a monopolistic firm selling products that require consumers’ post-processing assembly for effective use. Two distinct consumer segments exist in the market, including professional and amateur consumers, each with unique product needs and processing capabilities. Furthermore, this study analyses two strategies in which the BOAS channel is introduced or not. We build a game-theoretic model to analyse the impact of the BOAS channel on firms’ optimal decisions, profits and consumer surplus. The findings demonstrate that implementing the BOAS channel in some circumstances will reduce the total demand for the product, although it may increase demand from professional or amateur consumers independently. Moreover, introducing the BOAS channel has various effects on the firm and consumer surplus depending on some critical parameters, including the distribution of consumer types and product handling costs. Particularly, a larger proportion of professional consumers can incentivise firms to adopt the BOAS channel, while higher handling or travelling costs may lead firms to avoid its use. In terms of consumer surplus, although the introduction of BOAS channels appears to enhance amateur consumers’ experience, it may hurt the total consumer surplus in some cases. Finally, we also discussed the impact of BOAS on sustainable operations and found that by centralising the final assembly or customisation of products, the introduction of the BOAS channel can optimise the use of resources, reduce material wastage and improve efficiency. This study significantly contributes to the existing body of knowledge by elucidating the nuanced effects of BOAS on firm strategies and sustainability, providing actionable insights for practitioners navigating the complex omni-channel landscape.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"6 ","pages":"Pages 47-56"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143815163","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":"Consideration of quantity loss in packaging strategies for the fresh agricultural products supply chain","authors":"Zhonghua Ma,&nbsp;Rufei Li","doi":"10.1016/j.susoc.2025.03.003","DOIUrl":"10.1016/j.susoc.2025.03.003","url":null,"abstract":"<div><div>Fresh food waste represents both a market inefficiency and an environmental failure. While packaging can reduce losses or waste of fresh products, it also contributes to carbon emissions. This study constructs a mathematical model that comprehensively considers fresh product loss rates, consumer attitudes, packaging costs, and related investment decisions to explore the impact of different packaging strategies on loss reduction, profit, and sustainability in the fresh agricultural products supply chain. Our research delves into the optimal packaging strategy through comparative analysis, resulting in the following key points: (1) The NP strategy leads to higher loss rates and lower profits. (2) When packaging costs are properly controlled, both the SP and RP strategies can enhance profits while increasing demand and extending supply duration, contributing positively to social sustainability. (3) Regarding environmental sustainability, the NP strategy results in the least carbon emissions when the loss rate is very low, while the SP strategy is suitable for long supply chains and high loss rates, and the RP strategy is appropriate for products with significant demand fluctuations and high value.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"6 ","pages":"Pages 104-115"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143843462","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":"Sustainable evaluation of ecotourism in the Yangtze River delta urban agglomeration: A system coordination perspective","authors":"Jiqiang Zhao ,&nbsp;Jian Pan ,&nbsp;Ling Tan","doi":"10.1016/j.susoc.2025.01.002","DOIUrl":"10.1016/j.susoc.2025.01.002","url":null,"abstract":"<div><div>The coordinated development of the ecosystem (ES) and the tourism system (TS) is crucial for the sustainable ecotourism of urban agglomerations. From the perspective of the coordinated sustainable development of the ecotourism system (ETS), this study introduces a novel approach to evaluate the sustainable ecotourism performance of urban agglomeration in the Yangtze River Delta (YRDUA). By employing network the slack-based measure (SBM) and coordination coupling degree (CCD) models, using the support vector machine recursive feature elimination (SVM-RFE) method, the study identifies the efficiency of the ETS, the coordination between ES and TS, as well as key factors affecting the sustainability of ecotourism. The findings reveal an annual increase in the coordination between the ES and TS, although COVID-19 has significantly impacted their coupling and efficiency. Despite this, the efficiency of the ES has remained relatively stable. It is worth noting that the transportation sector and the tertiary industry have become core drivers of ETS sustainable development, with contribution a rate of 39.5 % and 27.05 % respectively.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"6 ","pages":"Pages 57-70"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143815164","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 short term multistep forecasting model for photovoltaic generation using deep learning model","authors":"Lakshmi P. Dinesh,&nbsp;Nameer Al Khafaf,&nbsp;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}

{"title":"Green hydrogen as a sustainable operations strategy: A socio-economic perspective","authors":"Francesco Bonesso ,&nbsp;Idiano D'Adamo ,&nbsp;Massimo Gastaldi ,&nbsp;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}