Production Networks and Learning-by-Networking

2020 ◽  
Author(s):  
Nuriye Melisa Bilgin
Keyword(s):  
2019 ◽  
Vol 114 (3) ◽  
pp. 101-104 ◽  
Author(s):  
Thomas Friedli ◽  
Günther Schuh ◽  
Gisela Lanza ◽  
Dominik Remling ◽  
Andreas Gützlaff ◽  
...  

Author(s):  
Tim Bartley

Social scientists have theorized the rise of transnational private authority, but knowledge about its consequences remains sparse and fragmented. This chapter builds from a critique of “empty spaces” imagery in several leading paradigms to a new theory of transnational governance. Rules and assurances are increasingly flowing through global production networks, but these flows are channeled and reconfigured by domestic governance in a variety of ways. Abstracting from the case studies in this book, a series of theoretical propositions specify the likely outcomes of private regulation, the influence of domestic governance, the special significance of territory and rights, and several ways in which the content of rules shapes their implementation. As such, this theory proposes an explanation for differences across places, fields, and issues, including the differential performance of labor and environmental standards.


Author(s):  
Tim Bartley

A vast new world of transnational standards has emerged, covering issues from human rights to sustainability to food safety. This chapter develops a framework for making sense of this new global order. It is tempting to imagine that global rules can and should bypass corrupt, incapacitated, or illegitimate governments in poor and middle-income countries. This assumption must be rejected if we want to understand the consequences of global rules and the prospects for improvement. After showing how a combination of social movements, global production networks, and neoliberalism gave rise to transnational private regulation, the chapter builds the foundations for the comparative approach of this book. The book’s comparative analysis of land and labor in Indonesia and China sheds light on two key fields of transnational governance, their implications in democratic and authoritarian settings, and the problems of governing the global economy through private regulation.


Emerging Markets are the primary source of growth for business in the 21st century. This makes an understanding of managing businesses in emerging markets a fundamental building block for competing in today's global economy. This book's approach is to identify key elements of the business systems and competition in emerging markets around the world, and then to look at competitive strategies of local and multinational companies going into and coming out of these countries. Specific focus is offered on a selection of countries/regions. These emphases should serve both researchers and managers interested in knowing more about managing firms in emerging markets in general and in specific countries in particular. The essays highlight the tension between local and global knowledge, that is, views of business that apply everywhere around the world versus views that are particular to emerging markets. The essays also explore the role of local and international firms operating in emerging markets within global value chains or production networks.


2021 ◽  
Vol 1 ◽  
pp. 2127-2136
Author(s):  
Olivia Borgue ◽  
John Stavridis ◽  
Tomas Vannucci ◽  
Panagiotis Stavropoulos ◽  
Harry Bikas ◽  
...  

AbstractAdditive manufacturing (AM) is a versatile technology that could add flexibility in manufacturing processes, whether implemented alone or along other technologies. This technology enables on-demand production and decentralized production networks, as production facilities can be located around the world to manufacture products closer to the final consumer (decentralized manufacturing). However, the wide adoption of additive manufacturing technologies is hindered by the lack of experience on its implementation, the lack of repeatability among different manufacturers and a lack of integrated production systems. The later, hinders the traceability and quality assurance of printed components and limits the understanding and data generation of the AM processes and parameters. In this article, a design strategy is proposed to integrate the different phases of the development process into a model-based design platform for decentralized manufacturing. This platform is aimed at facilitating data traceability and product repeatability among different AM machines. The strategy is illustrated with a case study where a car steering knuckle is manufactured in three different facilities in Sweden and Italy.


2021 ◽  
Vol 13 (10) ◽  
pp. 5495
Author(s):  
Mihai Andronie ◽  
George Lăzăroiu ◽  
Roxana Ștefănescu ◽  
Cristian Uță ◽  
Irina Dijmărescu

With growing evidence of the operational performance of cyber-physical manufacturing systems, there is a pivotal need for comprehending sustainable, smart, and sensing technologies underpinning data-driven decision-making processes. In this research, previous findings were cumulated showing that cyber-physical production networks operate automatically and smoothly with artificial intelligence-based decision-making algorithms in a sustainable manner and contribute to the literature by indicating that sustainable Internet of Things-based manufacturing systems function in an automated, robust, and flexible manner. Throughout October 2020 and April 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “Internet of Things-based real-time production logistics”, “sustainable smart manufacturing”, “cyber-physical production system”, “industrial big data”, “sustainable organizational performance”, “cyber-physical smart manufacturing system”, and “sustainable Internet of Things-based manufacturing system”. As research published between 2018 and 2021 was inspected, and only 426 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 174 mainly empirical sources. Further developments should entail how cyber-physical production networks and Internet of Things-based real-time production logistics, by use of cognitive decision-making algorithms, enable the advancement of data-driven sustainable smart manufacturing.


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