How do Public Demonstration Projects Promote Green-Manufacturing Technologies? A Case Study from China

2015 ◽  
Vol 23 (4) ◽  
pp. 217-231 ◽  
Author(s):  
Yuan Zhou ◽  
Guannan Xu ◽  
Tim Minshall ◽  
Peng Liu
2017 ◽  
Vol 27 (1) ◽  
pp. 46-73 ◽  
Author(s):  
Yuan Zhou ◽  
Meijuan Pan ◽  
Dillon K. Zhou ◽  
Lan Xue

The Chinese government attempts to use market-oriented measures, such as energy performance contracts (EPCs) rather than mere policy mandates, to encourage manufacturers to voluntarily adopt green technologies. However, the low use rate of EPCs in existing diffusion projects calls for an in-depth examination. This article, therefore, aims to investigate the adoption risks that thwart key stakeholders, as well as the stakeholders' trust that may mitigate the aforementioned risks, through a case study of the national-level diffusion project. Using network analysis, this study identifies four critical risks that are associated to key stakeholders, that is, information asymmetry, funding support, payback period savings potential, and technical competences. Furthermore, it discloses the linkages between stakeholders' trust perceptions and the aforementioned risks. This outcome gives us new insights about what can be improved to better promote EPCs in diffusion projects on a national scale.


2020 ◽  
Author(s):  
Gun Nanda Tian Purnama ◽  
Sawarni Hasibuan ◽  
Zulfa Fitri Ikatrinasari

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.


Author(s):  
Nazrul Islam

This chapter aims to provide a new readiness matrix called ‘innovative manufacturing readiness levels (IMRLs)’ to evaluate and assess the areas of micro and nanotechnology maturity including their performance. The study employs a case study approach through which the practicability and applicability of the IMRLs conceptual matrix were verified and confirmed. A case study with laser-based manufacturing technologies explores the stages of micro and nano technologies (MNTs)’ maturity, including the key issues and performances that contributed to the development of a new assessment tool. Concerning intense global R&D competition in MNTs, this study exhibits a forward-looking approach in assessing MNTs maturity and performance. A generic conclusion is reached by which product designers and technology managers position themselves and take into account risk reduction exercises related to MNTs. The novelty of the research could be that organizations, which develop and use MNTs, have an opportunity in applying such a specific assessment matrix to quantify the technology readiness of unreleased MNTs.


2020 ◽  
pp. 416-422
Author(s):  
Saurabh Sen ◽  
Ruchi L. Sen

The manufacturing sector has greater responsibility for conducting and operating its business. The primary objective of every unit is to maximize profits. The manufacturing sector is the key driver of energy consumption and if an automobile consumes high fuel or if the resources are under-utilized, it is definitely the fault of the manufacturer. If we seriously need a solution to these problems, we need to change the way we design, manufacture, and sell the products. The manufacturing sector must use energy and resources efficiently. ‘Green Manufacturing' or sustainable industrial activity is the need of the hour and the Government of India requires the manufacturing sector to play a bigger role in the country's economy. This paper focuses on the initiative taken by the industries to make the environment eco-friendly. The paper further will emphasize upon a case study of Hero MotoCop.


2019 ◽  
Vol 11 (5) ◽  
pp. 837-862 ◽  
Author(s):  
Diamantino Torres ◽  
Carina Pimentel ◽  
Susana Duarte

Purpose The purpose of this study intends to make a characterization of a shop floor management (SFM) system in the context of smart manufacturing, through smart technologies and digital shop floor (DSF) features. Design/methodology/approach To attain the paper objective, a mixed method methodology was used. In the first stage, a theoretical background was carried out, to provide a comprehensive understanding on SFM system in a smart manufacturing perspective. Next, a case study within a survey was developed. The case study was introduced to characterize a SFM system, while the survey was made to understand the level of influence of smart manufacturing technologies and of DSF features on SFM. In total, 17 experts responded to the survey. Findings Data analytics is the smart manufacturing technology that influences more the SFM system and its components and the cyber security technology does not influence it at all. The problem solving (PS) is the SFM component more influenced by the smart manufacturing technologies. Also, the use of real-time digital visualization tools is considered the most influential DSF feature for the SFM components and the data security protocols is the least influential one. The four SFM components more influenced by the DSF features are key performance indicator tracking, PS, work standardization and continuous improvement. Research limitations/implications The study was applied in one multinational company from the automotive sector. Originality/value To the best of the authors’ knowledge, this work is one of the first to try to characterize the SFM system on smart manufacturing considering smart technologies and DSF features.


2019 ◽  
Vol 20 (2) ◽  
pp. 186
Author(s):  
Madhawee Jayarathne ◽  
Jayasena Dissanayake ◽  
Asankha Pallegedara

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