With today’s high product variety and shorter life cycles in automobile manufacturing, every new car design must be adapted to existing production facilities so that these facilities can be used for the manufacturing of several car models. In order to ensure this, collaboration between engineering design and production engineering has to be supported. Sharing information is at the core of colla...

High profitability and customer satisfaction are of supreme importance for any business. To achieve both objectives, an organisation must design a structured approach. To achieve profitability, organisations look to principles of lean manufacturing and techniques such as EFQM, business excellence. This paper reviews such methodologies across different industries, comparing techniques and elemen...

Due to environmental pollution and national energy security, China, which has successively issued many policies on new vehicles, entered a period of rapid development in the automobile manufacturing field. There have been enterprises with good prospects Chinese market. NIO is representative vehicle companies. In this paper, PEST model employed analyze external factors NIO. Using analysis Porter...

With smart sensors and embedded drivers, today’s automotive industry has taken a giant leap in emerging technologies like Machine learning, Artificial intelligence, the Internet of things started to build data-driven decision-making strategies compete global manufacturing. This paper proposes novel design framework that uses Federated learning-Artificial intelligence (FAI) for Smart Contract (S...

In order to evaluate the relationship between the concentration of welding fumes and cigarette smoke on the bronchopulmonary system function, a comparative study of spirometric measurements in 100 welders and 50 healthy volunteers was performed in an automobile manufacturing company. Two groups of workers were matched according to their age, height, smoking habit, years of service and soci...

The assessment and selection of green supplier development programs are an intriguing and functional research subject. This paper proposes a group decision-making approach considering possibilistic statistical concepts under uncertainty to assess green supplier development programs (GSDPs) via interval-valued fuzzy sets (IVFSs). Possibility theory is employed to regard uncertainty by IVFSs. A n...