Wood flooring digital workshops are energy-intensive industrial production systems with coupled electricity and heat demands. Their production processes, such as drying, hot pressing, machining, sanding, coating, ventilation, and thermal conditioning, create flexible but strongly time-dependent energy requirements. With the increasing penetration of distributed renewable energy, these workshops can be coordinated with local energy stations and energy storage through virtual power plant aggregation. However, existing virtual power plant management mechanisms often rely on simplified purchase–sale relationships or two-stage settlement structures, which are insufficient to coordinate multiple stakeholders, multi-energy flows, renewable-energy uncertainty, and demand-side flexibility. To address these issues, this study proposes a game-theoretic virtual power plant optimization method for wood flooring digital workshops. The proposed framework integrates an improved integrated demand response mechanism, a tri-stage market settlement mechanism, and a distributed solution algorithm based on nested quadratic programming. The virtual power plant operator coordinates distributed energy station resources and industrial workshop load resources through a vertical Stackelberg game that represents the leader-follower pricing and response relationship, while the price competition among distributed energy station resources is modeled as a horizontal non-cooperative game. A 24-hour case study is conducted to verify the proposed method. The results show that the proposed model improves renewable energy accommodation, reduces load fluctuation, enhances the economic benefits of distributed energy resources, and lowers the energy cost of the wood flooring digital workshop.
In the present era of scientific and technological advancements, the balance among the pillars of sustainability; economy, environment, and society has become a crucial concern for achieving sustainable goals. Modern manufacturing and tech-based sectors are increasingly adopting green policies to optimize environmental degradation while restoring economic progress and social well-being. Among all these sectors connecting to production and manufacturing, the energy sector is one of the most influential, as it plays a vital role in global development and sustainability. A significant shift has been observed in energy sector, moving away from dependence on non-renewable energy sources toward cleaner energy sources including solar, wind, hydro, and bioenergy. These green practices by the manufacturer attract a section of customers, who are environmentally conscious and prefer products, manufactured by following the norms of sustainability. These practices need to be advertise by the company to attract those customer and so the demand function proposed in this model is dependent on price, green investment boosted by advertisement cost. In this paper, an EPQ model is proposed with energy transition strategy considering investments on digital technologies to advertise the green practices of the company. The novelty of the proposed research emphasizes in integrating energy transition as one of the green policy in the EPQ model with a portion of investment to advertise the green practices of the company. The result suggests that profit earn by the company increases as the rate of transition from non-renewable to renewable source of energy increases. Investing 10.4
The fashion industry is one of the most polluting sectors globally, and a key challenge it faces is the integration of sustainable practices into green product design. In this study, we examine a two-echelon green supply chain (GSC) model, assuming both environmentally conscious members and consumers. We consider that the customer’s utility depends on maximum tendency to pay for traditional item, price of eco-friendly and traditional items and their quality levels. Moreover buyers are influenced by both the environmental and functional qualities of products. Thus, demand for eco-friendly and traditional items is shaped by retail price, green and functional quality, marketing efforts, and consumer reference behaviors. We analyze this scenario across five models: decentralized, centralized, cost-sharing, revenue-sharing, and two-part tariff contracts. Closed-form solutions for optimal green marketing efforts, green and traditional quality levels, and wholesale and retail prices are obtained for all cases. Furthermore, we employ Nash bargaining processes to set contractual parameters for each contract. Our computational analysis reveals that the proposed two-part tariff contract simultaneously enhances environmental and economic outcomes, showing that there is no trade-off between improvements in green and functional quality when an appropriate contract is used to coordinate the supply chain.
Adopting circular rice supply chains requires addressing interrelated technological, technical, regulatory, economic, organisational, operational, market, and social barriers. Existing research provides limited integration of relevance screening, priority weighting, and structural relationship mapping. This study examines these functions together to inform intervention planning in Malang district, East Java, Indonesia. The framework combines the Fuzzy Delphi Method, Fuzzy Analytical Hierarchy Process, Interpretive Structural Modelling, and MICMAC analysis. Three experts assessed 36 literature-derived barriers, of which 25 met the relevance threshold. Regulatory and economic barriers received the highest dimensional weights. High investment costs had the highest global priority, followed by lack of tax incentives. Low circular-economy awareness and absence of reverse logistics shared the next-highest weight. The ISM hierarchy contained eight levels. Lack of government support and low circular-economy awareness occupied Level 8, while supply-chain complexity was another source barrier at Level 7. Low return on investment and inaccurate waste estimates were terminal barriers with the highest dependence scores. MICMAC classified ten barriers as independent, two as linkage, nine as dependent, and four as autonomous. The findings show that perceived importance and structural influence provide different information for intervention planning. The integrated framework supports coordinated consideration of institutional support, investment, capabilities, and recovery arrangements. Its empirical results remain conditional on the three-expert panel and local context; applications elsewhere require renewed relevance assessment, weighting, and structural analysis.
The urgent need for supply chain decarbonization has intensified interest in industrial symbiosis as a circular economy strategy. This study prioritizes industrial symbiosis-based carbon reduction strategies in agro-industries, represented by the food and beverage, tobacco, and paper sectors, which are interlinked through biomass, packaging, water, and logistics flows. An integrated DEMATEL–BWM–MARCOS framework was employed, drawing on evaluations from an 11-member expert panel with expertise spanning sustainability, supply chain management, circular economy, logistics, and environmental engineering. Eight factors emerged as causal drivers, led by workforce capacity, managerial support, and technological readiness. Digital Traceability and Monitoring, Technological Readiness and Process Integration, and Investment Feasibility received the highest weights, jointly accounting for 31.4
