Multi-Technology Driven R&D Cost Improvement Scheme and Application Utility of EESP in Energy-Intensive Manufacturing Industry

Facing the sustainable use of electric power resources, many countries in the world focus on the R&D investment and application of electrochemical energy storage projects (i.e., EESP). However, the high R&D cost of EESP has been hindering large-scale industrial promotion in the energy-intensive manufacturing industry represented by the tobacco industry. Reducing and controlling the R&D cost has become an urgent problem to be solved. In this context, this paper innovatively proposes a multi-technology driven R&D cost improvement scheme, which integrates WBS (i.e., Work Breakdown Structure), EVM (i.e., Earned Value Method), BD (i.e., Big Data), and ML (i.e., Machine Learning) methods. Especially, the influence of R&D cost improvement on EESP application performance is discussed through mathematical model analysis. The research indicates that reducing EESP R&D costs can significantly improve the stability of EESP power supply, and ultimately improve the application value of EESP in energy-intensive manufacturing industries. The R&D cost management scheme and technical method proposed in this paper have important theoretical guiding values and practical significance for accelerating the large-scale application of EESP

Optimal Pricing and Green Product Design Strategies in a Sustainable Supply Chain Considering Government Subsidy and Different Channel Power Structures

Green product design is a vital measure to support sustainable development in a circular economy era. This paper studies the multi-product pricing and green product design strategies under different supply chain structures and government subsidy strategies. Considering different channel leadership, we establish the centralized (C), manufacturer-led (MS), and retailer-led (RS) supply chain models, respectively. By applying a game-theoretical approach, corresponding equilibrium pricing, green product design, and government subsidy decisions under different supply chain structures are obtained. Through comparison and numerical analysis, we find that: (1) the different subsidy strategies of the government have an important impact on green product development. When the government provides a uniform subsidy strategy, a RS supply chain can bring greener product, more market demands, more profit, and more social welfare; (2) when the government provides a differentiated subsidy strategy, MS and RS supply chain structures can bring greener product and more market demand than the centralized supply chain. They can also bring the same social welfare and the same product to the green design level. However, the MS supply chain structure can bring more profit for the firm; (3) the consumers’ green awareness positively impacts the design and development of green product. Therefore, it is beneficial for the firm to adopt reasonable measures to boost the environmental awareness of consumers in order to realize the sustainable development of our society