“Passive” convergence of knowledge and technologies has had an important effect on manufacturing development. Manufacturing enterprises have evolved for the most part as centralized and concentrated urban complexes, primarily driven by the need to minimize manufacturing costs. Examples include the automobile industry of southeastern Michigan and the electronics manufacturing complex in Shenzhen...

Battery technology is the basis for electrification of mobility and key to a sustainable future. Herein, lithium‐ion battery (LIB) cells are experiencing increasing demand, especially in automotive industry. To meet rising needs, highly productive cost‐efficient processes cell production need be available. Within joint project HoLiB—High Throughput Processes Lithium Ion Manufacturing, continuou...

Currently, the manufacturing industry is experiencing a data-driven revolution. There are multiple processes in the manufacturing industry and will eventually generate a large amount of data. Collecting, analyzing and storing a large amount of data are one of key elements of the smart manufacturing industry. To ensure that all processes within the manufacturing industry are functioning smoothly...

Today’s manufacturing industry requires product data management system (PDM) for efficient product development and production. Manufacturing industries must deal with competition, time to market, reduction of the cost of doing business, and rapid development of new services and products. To address these requirements industries must constantly reconsider and optimize the way they do business an...

This paper presents an introductory review of CBM practice applied in manufacturing industry, focusing the technical constituents within condition monitoring. The empirical base for the study is a case study of two major manufacturing sites in Sweden, complemented with a brief benchmark of data from two reference manufacturing sites from France and Brazil. The data from the main studies were co...

Aiming at industrial organization multi-objective optimization problem in Equipment Manufacturing Industry, The paper proposes a new type of double layer evolutionary cultural particle swarm optimization algorithm. The algorithm combines the advantages of the particle swarm optimization algorithm and cultural algorithm. It not only revises the problem that the particles are easy to “premature”,...

This paper presents a mathematical programming model for dynamic cell formation to minimize changeover-related costs (i.e., machine relocation costs and machine setup cost) and inter-cell material handling cost to cope with the volatile production environments in apparel manufacturing industry. The model is formulated through findings of a comprehensive literature review. Developed model is val...

Article history: Received 24 February 2009 Revised 25 March 2009 Accepted 25 March 2009 In this work, we for the first time study the inter-industrial clustering behaviors of integrated circuit (IC) industry fromTaiwan toChinavia amountof foreigndirect investment (FDI). According to themutual dependence among IC design,manufacturing and packaging-and-testing industries, Lotka–Volterra model is ...