Small and Medium Enterprises in Japan: Surviving the Long-Term Recession

The relationship between large enterprises (LEs) and small and medium enterprises (SMEs) in Japan has undergone major changes during the long-term recession since 1991. While SMEs still play the important role of supplying parts and components to LEs through subcontracting, many LEs have started to reduce the number of their suppliers and the components they use in manufacturing. While efficient SMEs selected by LEs were able to expand their businesses, inefficient SMEs lost customers. The regression results in this study suggest that the decrease in number of establishments—specifically, the exit of inefficient SMEs—might improve total factor productivity growth rates. The traditional business model of being dependent on certain LEs and doing business within the cluster is not functioning as well as it used to. Heavy dependence on certain industries and highly segmented and specialized production processes prevent the clusters from adjusting to the new business environment. Some SMEs are still able to create new business by taking advantage of more flexible divisions of labor. SME policies must encourage diversification and collaboration that cut across traditional industry groupings to form a flexible division of labor.japan sme recession; japan sme restructuring

Contextual impacts on industrial processes brought by the digital transformation of manufacturing: a systematic review

The digital transformation of manufacturing (a phenomenon also known as "Industry 4.0" or "Smart Manufacturing") is finding a growing interest both at practitioner and academic levels, but is still in its infancy and needs deeper investigation. Even though current and potential advantages of digital manufacturing are remarkable, in terms of improved efficiency, sustainability, customization, and flexibility, only a limited number of companies has already developed ad hoc strategies necessary to achieve a superior performance. Through a systematic review, this study aims at assessing the current state of the art of the academic literature regarding the paradigm shift occurring in the manufacturing settings, in order to provide definitions as well as point out recurring patterns and gaps to be addressed by future research. For the literature search, the most representative keywords, strict criteria, and classification schemes based on authoritative reference studies were used. The final sample of 156 primary publications was analyzed through a systematic coding process to identify theoretical and methodological approaches, together with other significant elements. This analysis allowed a mapping of the literature based on clusters of critical themes to synthesize the developments of different research streams and provide the most representative picture of its current state. Research areas, insights, and gaps resulting from this analysis contributed to create a schematic research agenda, which clearly indicates the space for future evolutions of the state of knowledge in this field

Expanding production perspectives by collaborating learning factories-perceived needs and possibilities

Collaboration across organizational, business and technological borders receives growing emphasis in industrial production due to the evolution of production networks, as well as the growing integration of different product life cycle stages. These demands receive growing attention in the learning factory community, and can be answered by the combination of courses and collaboration across several sites. The paper gives an in-progress report on such an initiative: on perceived needs and opportunities of collaboration spanning the learning factory site at TU Wien, and the premises of MTA SZTAKI in Gyor and Budapest. Special emphasis is put on several collaboration types crucial to design and production in an enterprise network, such as parallel and collaborative product development, or transparency across organizational levels of different degrees of abstraction. (C) 2018 The Authors. Published by Elsevier B.V

Improving The Planning Quality Through Model-Based Factory Planning In BIM

In recent years, Building Information Modelling (BIM), which originated in the construction industry, is increasingly finding its way into the planning of factories and production environments. In the scientific assessment of this change and possible future scenarios regarding BIM, the research mostly focuses on the planning process and the influence that the use of BIM has on it. However, improving the outcome of a factory planning project enjoys priority over optimizing the planning process itself regardless of whether BIM is being used or not. This paper therefore aims to build a bridge from a process-side view to the planning result. The concept of BIM is to be explained from a technical point of view establishing a reference to the concept of synergetic factory planning. For this purpose, the process view and the spatial view will be examined and the BIM model will be characterized with regard to different levels of development in the planning process. The goal is to show how the use of BIM in factory planning can ultimately improve the planning result. For this purpose, the factory targets are considered and their optimizability through the use of BIM is investigated

digitalization technologies for industrial sustainability

Abstract Digital technologies are shown to perform a potential role in developing a resource efficient industrial base. The effective adoption of them can help to deliver reduced costs and improve the flexibility and sustainability of manufacturing systems. However, these positive benefits are far from guaranteed and the way in which digital technologies favor the transition towards sustainable manufacturing systems has not been analyzed in detail yet, so more conceptual and empirical investigations are required in this field. This paper develops a conceptual framework, which explains the potential significance of using digital technologies toward efficiency, resilience and sustainability. It also includes evidence from various case studies, which illustrate the core technologies which can potentiality contribute to a sustainable industrial future. The findings show some impressive results concerning the sustainable implications of the digitalization of manufacturing processes. If the predicted benefits can be achieved through digital technologies, they could massively impact on sustainability

Enabling effective operational decision making on a Combined Heat and Power System using the 5C architecture

The use of Cyber Physical Systems (CPS) to optimise industrial energy systems is an approach which has the potential to positively impact on manufacturing sector energy efficiency. The need to obtain data to facilitate the implementation of a CPS in an industrial energy system is however a complex task which is often implemented in a non-standardised way. The use of the 5C CPS architecture has the potential to standardise this approach. This paper describes a case study where data from a Combined Heat and Power (CHP) system located in a large manufacturing company was fused with grid electricity and gas models as well as a maintenance cost model using the 5C architecture with a view to making effective decisions on its cost efficient operation. A control change implemented based on the cognitive analysis enabled via the 5C architecture implementation has resulted in energy cost savings of over €7400 over a four-month period, with energy cost savings of over €150,000 projected once the 5C architecture is extended into the production environment