7 Formation Opportunities of Agro-Industrial Clusters for the Purpose of Increasing Competitiveness (Case Study: Abkhazia)

2020 ◽  
pp. 71-80
Keyword(s):  
Industrial Clusters

Das Finanzzentrum – ein Cluster?

2009 ◽  
Vol 53 (1-2) ◽  
Author(s):  
Eike W. Schamp
Keyword(s):  
Industrial Sector ◽  
Industrial Clusters ◽  
Urban Agglomeration ◽  
Cluster Approach ◽  
Financial Centre ◽  
Financial Products ◽  
Knowledge Based ◽  
Financial Geography ◽  
Financial Economy

The financial centre - a cluster? A multiscalar approach and evidence from a case study of Frankfurt/Main: The cluster approach has recently been applied in various studies of financial centres, for example of London or Frankfurt. Its current use in financial geography, however, seems to be more metaphorical than analytical. This paper firstly discusses specific sectoral characteristics which make it difficult to simply apply a concept which was developed for the industrial sector to the financial economy. Secondly, value networks in the production processes of financial products indicate that only certain parts of the production process, i.e. knowledge-based, non-repetitive transactions in the network, require local proximities. Following Gordon/McCann in their reasoning on industrial clusters, it is argued that the cluster approach to financial centres calls for a multi-scalar perspective combining the juridical national territory, the advantages of a large urban agglomeration, and, finally, the network externalities of a district within the urban agglomeration, i.e. the “financial district”. This is demonstrated using the example of the financial centre of Frankfurt/RhineMain, a term which stands for the larger urban agglomeration.

Towards Chinese smart manufacturing ecosystem in the context of the one belt one road initiative

2018 ◽  
Vol 11 (3) ◽  
pp. 291-310 ◽  
Author(s):  
Rafif Al-Sayed ◽  
Jianhua Yang
Keyword(s):  
Industrial Revolution ◽  
Structured Interview ◽  
Industrial Clusters ◽  
Added Value ◽  
Smart Manufacturing ◽  
Content Type ◽  
Factors Affecting ◽  
Industrial Sectors ◽  
Regional Collaboration

Purpose The purpose of this paper is to examine empirically China’s determined thrust to attain a high level of technological innovation and the factors affecting moving towards a smart and sophisticated manufacturing ecosystem in conjunction with the Belt and Road Initiative (OBOR). Design/methodology/approach This research provides empirical determination of the factors affecting moving towards smart manufacturing ecosystems in China. The method is based on combining two approaches: semi-structured interview and questionnaire-based with academics, experts and managers in various Chinese industrial sectors. The results are based on the multivariate analysis of the collected data. A case study of the current manufacturing ecosystem was also analyzed, in order to understand the present state as well as the potential for China’s competitive edge in the developed OBOR countries. Findings The results illustrate the importance of the infrastructure dimension comprising variables related to ecosystems, industrial clusters and Internet of Things IoT and other advanced technologies. A case study of the city of Shenzhen’s transformation into a smart cluster for innovative manufacturing points out how China’s OBOR initiative for regional collaboration will further transform the regional smart clusters into an ultra-large innovation based smart ecosystem. Originality/value This research is the first to study China’ policies towards playing a prominent role in the Fourth Industrial Revolution 4IR in the context of the OBOR initiative, through empirically defining the factors affecting moving towards a knowledge-intensive smart manufacturing ecosystem where the added value is mostly innovation based.

scholarly journals An Optimal-Control Scheme for Coordinated Surplus-Heat Exchange in Industry Clusters

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1877 ◽  
Author(s):  
Brage Rugstad Knudsen ◽  
Hanne Kauko ◽  
Trond Andresen
Keyword(s):  
Optimal Control ◽  
Heat Exchange ◽  
Industrial Clusters ◽  
Industry Clusters ◽  
Industry Cluster ◽  
Heat Demand ◽  
Control Scheme ◽  
Optimal Control Scheme ◽  
And Control

Industrial plants organized in clusters may improve their economics and energy efficiency by exchanging and utilizing surplus heat. However, integrating inherently dynamic processes and highly time-varying surplus-heat supplies and demands is challenging. To this end, a structured optimization and control framework may significantly improve inter-plant surplus-heat valorization. We present a Modelica-based systems model and optimal-control scheme for surplus-heat exchange in industrial clusters. An industry-cluster operator is assumed to coordinate and control the surplus-heat exchange infrastructure and responsible for handling the surplus heat and satisfy the sink plants’ heat demands. As a case study, we use an industry cluster consisting of two plants with surplus heat available and two plants with heat demand. The total surplus heat and heat demand are equal, but the availability and demand are highly asynchronous. By optimally utilizing demand predictions and a thermal energy storage (TES) unit, the operator is able to supply more than 98% of the deficit heat as surplus heat from the plants in the industry cluster, while only 77% in a corresponding case without TES. We argue that the proposed framework and case study illustrates a direction for increasing inter-plant surplus-heat utilization in industry clusters with reduced use of peak heating, often associated with high costs or emissions.

Resilience to economic sanctions; case study: hospital equipment cluster of Tehran (HECT)

2020 ◽  
Vol 12 (1) ◽  
pp. 13-28
Author(s):  
Mohammad Saeed Taslimi ◽  
Aryan Azimi ◽  
Mohsen Nazari
Keyword(s):  
Complex Adaptive System ◽  
Field Research ◽  
Economic Sanctions ◽  
Industrial Clusters ◽  
Local Policy ◽  
Cultural Economic ◽  
Content Type ◽  
Complex Adaptive ◽  
Hospital Equipment

Purpose The purpose of this study is to investigate factors contributing to the development of resilience capacity and capability of industrial clusters in order for them to mitigate, absorb and adapt to the impacts of Iran’s economic sanctions. Design/methodology/approach The Hospital Equipment Cluster of Tehran (HECT) was selected as the case study for the research. The data were collected using the library and field research and analyzed using the thematic analysis method. Findings The key dimensions of resilience were grouped into socio-cultural, economic, technical-organizational and institutional–infrastructural categories. Based on the “complex adaptive system” theory, each of the abovementioned dimensions were investigated on different levels of analysis, including individual, enterprise, cluster, government and environment. Eventually, recommendations were made by considering required capacities and capabilities of resilience of the hospital equipment sector toward economic sanctions. Originality/value The resilience toward economic sanctions, as an extensive disaster, is a considerably new subject and few studies have been performed in the field. This research provides practical solutions for local policy-makers, authorities and enterprise managers.

Driving Model of Implementing Mass-Customization Manufacturing in Cluster Supply Chain

2014 ◽  
Vol 697 ◽  
pp. 478-481
Author(s):  
Chun Ling Liu ◽  
Shuang Shuang Liu
Keyword(s):  
Supply Chain ◽  
Mass Customization ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Driving Model ◽  
Using Data ◽  
Push Model

To explore the attributes of cluster supply chain, and provide its driving model (2P&2BP) for more effective and more efficient way in implementing mass customization. The paper analyzes cluster supply chain driving model for implementing mass customization manufacturing using data from case study from 8 garment and IT industrial clusters. In process of implementing mass customization, we found that cluster supply chain has supplying level, marketing level and supplementing level to support its driving model (2P&2BP: Pull/push/burst power/bottleneck press) rather than conventional pull\push model. thus SMEs (small and medium-sized enterprises) in industrial cluster would have chances to extensively participate cooperate with core companies in the form of supply chain, thus expanding gradually.

scholarly journals Virtual Incubation in Industrial Clusters: A Case Study in Pakistan

2012 ◽  
Vol 48 (3) ◽  
pp. 377-392 ◽  
Author(s):  
Babur Wasim Arif ◽  
Tetsushi Sonobe
Keyword(s):  
Industrial Clusters
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