This paper focuses on the principal problems in the actual transaction of decommissioned power batteries such as the asymmetry of information, huge risk and difficult issues such as recovery and trace. And constructed a new energy vehicle decommissioned power battery recycling platform based on the big data technology. Integrated characteristics of big data information, this paper analyzes the operating mechanism of the Big-Data-Based power battery recovery platform. The functional module on this platform is designed and investigated for the functional requirements of users and shared information based on big data. Based on the analysis of traffic big data, a traction battery dangerous goods transportation optimization system is established by using Baidu map application program interface (API). The improved ant algorithm was used to obtain the shortest path model and decrease the transportation costs and risks, besides, it boosts the value of information resources maximum and gives impetus to the power battery recycling industrial transformation and upgrading.

End of life vehicle (ELV) is a significant renewable resource with enormous economic value and environmental value. New regulation promulgated by the State Council of PRC has been implemented since June 2019, allows main assemblies of ELV can be sold to remanufacture enterprises, which dramatically prompts more enterprises to invest in the recycling industry. According to the technological recovery characteristics of ELV, the system layout design (SLP) method is briefly applied to arrange the plant facility layout of ELV recycling and disassembly enterprise. The relationship between logistics and non-logistics was firstly analyzed, and the operating unit correlation diagram of location and area were presented correspondingly. Then, through further modification and adjustment, the feasible layout scheme was obtained, and the reasonable general layout of the plant area was determined by using the weighted factor method. As a critical functional unit of the factory area, the detailed planning and design of the disassembly and shredding workshop were further presented. A detailed facility layout and logistics route of the disassembly and shredding workshop are finally proposed according to the obtained correlation diagram of the operating unit area based SLP, which has been implemented in a recycling company in Changsha, a typical case in China. Combined with the theoretical techniques of statistics, intelligent algorithms, and logistics analysis under the background of modern green production and sustainable manufacturing, this work can provide a new approach for plant layout design and optimization for ELV recycling and disassembly industry.

Increasingly, cities worldwide are striving for green travel and slow traffic, and vigorously developing people-oriented urban pedestrian traffic with sustainability has become a fixture in recent discourse. This paper comprehensively considers the sidewalk’s facilities environment and the status of pedestrian traffic flow; divides the urban pedestrian road system (UPRS) into five subsystems around the underpass, overpass, crosswalk, sidewalk, and road crosswalk; and introduces the basic structure as well as the function of each system. Then, the indicators are classified into two types of crosswalk facilities and sidewalk facilities, and a comprehensive pedestrian road indicator system with the combination of subjective and objective is established. Consequently, the integration of the fuzzy AHP and DEA-based symmetrical technique for the subjective evaluation indicator combined with pedestrian traffic characteristics is developed. A nine-step semantics scale of relative importance was used so that the symmetry of the response of pedestrian satisfaction was maintained. Fuzzy evaluation based on AHP is further modeled, and the DEA is employed to achieve an overall evaluation of the quality of service (QoS) for UPRS. The applicability of the established evaluation system is finally verified through a real case study in Harbin, China. The serviceability assessment method in this paper provides a new idea for planners to conduct sustainability evaluation for UPRS in future urban renewal development.

In the evolving landscape of perishable goods management, where the balance between minimizing waste and maximizing profitability is paramount, this work introduces an innovative approach to pricing and inventory decisions for products with limited shelf lives, focusing on vegetables in supermarkets. The contribution lies in its integration of an automated pricing and restocking decision model that leverages autoregressive integrated moving average (ARIMA) forecasting techniques alongside dynamic pricing strategies tailored to the goods’ freshness and remaining shelf life. The study uses a comprehensive sales, spoilage rates, and customer demand dataset to apply ARIMA forecasting for optimal restocking and adjusts prices dynamically based on product freshness, promoting competitive pricing and waste reduction. The results demonstrate the model’s effectiveness, reducing spoilage rates by up to 30% and increasing profitability margins by about 15%, highlighting its practical utility in real-world scenarios. The research highlights the potential for supermarkets to improve perishable goods inventory management, leading to significant economic benefits and reduced food waste. This study contributes to sustainable retail practices aligning with global responsible consumption and production initiatives, offering a scalable economic efficiency and environmental stewardship solution.

End of life vehicle (ELV) is a significant renewable resource with enormous economic value and environmental value. This paper introduced a novel approach that combines the gray correlation and Decision Making Trial and Evaluation Laboratory (DEMATEL) with an interactive technique in order to consider both quantitative and qualitative features simultaneously in ELV plant facility layout problem. The gray interval number of gray correlation is used as the expert's evaluation score of the impact factor of the ELV dismantling plant, DEMATEL constructs a direct impact matrix by analyzing the causal relationship between various influencing factors in the system. The proposed approach is applied to the case of a realistic ELV dismantling plant, and the evaluation framework for an ELV plant layout alternatives and design assessment analysis also conducted. The results show that it provides a systematic decision support tool and a feasible approach for evaluation of ELV disassembly plant layout alternatives.