Dynamic Game Analysis of Technology Diffusion and Innovation Performance: Case Study of China’s Automotive Industry

2019 ◽  
pp. 73-85
Author(s):  
Shenglan Li ◽  
Yun Zhang ◽  
Rui Feng
Keyword(s):  
Automotive Industry ◽  
Technology Diffusion ◽  
Dynamic Game ◽  
Innovation Performance ◽  
Game Analysis

QUALITY IMPROVEMENT BY USING SIX SIGMA IN AN AUTOMOTIVE INDUSTRY: A CASE STUDY

2018 ◽  
Vol 11 (2) ◽  
Author(s):  
Amit Yadav ◽  
Dr. VK Sukhwani
Keyword(s):  
Quality Improvement ◽  
Automotive Industry ◽  
Six Sigma

scholarly journals The Role of Industry 4.0 and BPMN in the Arise of Condition-Based and Predictive Maintenance: A Case Study in the Automotive Industry

2021 ◽  
Vol 11 (8) ◽  
pp. 3438
Author(s):  
Jorge Fernandes ◽  
João Reis ◽  
Nuno Melão ◽  
Leonor Teixeira ◽  
Marlene Amorim
Keyword(s):  
Business Process ◽  
Automotive Industry ◽  
Industry 4.0 ◽  
Process Model ◽  
Business Process Management ◽  
Process Management ◽  
Predictive Maintenance ◽  
The Evolution Of Industry

This article addresses the evolution of Industry 4.0 (I4.0) in the automotive industry, exploring its contribution to a shift in the maintenance paradigm. To this end, we firstly present the concepts of predictive maintenance (PdM), condition-based maintenance (CBM), and their applications to increase awareness of why and how these concepts are revolutionizing the automotive industry. Then, we introduce the business process management (BPM) and business process model and notation (BPMN) methodologies, as well as their relationship with maintenance. Finally, we present the case study of the Renault Cacia, which is developing and implementing the concepts mentioned above.

scholarly journals Organisational Constraints in Data-driven Maintenance: a case study in the automotive industry

2020 ◽  
Vol 53 (3) ◽  
pp. 95-100
Author(s):  
P Savolainen ◽  
J Magnusson ◽  
M. Gopalakrishnan ◽  
E. Turanoglu Bekar ◽  
A. Skoogh
Keyword(s):  
Automotive Industry ◽  
Data Driven

The Analysis of Willingness to Cooperate for Farmers to Participate in Water Management Based on Game Theory

2013 ◽  
Vol 448-453 ◽  
pp. 1002-1010
Author(s):  
Cong Liu
Keyword(s):  
Water Management ◽  
Game Theory ◽  
Dynamic Game ◽  
Collective Rationality ◽  
Game Analysis ◽  
Static Game ◽  
Free Riders ◽  
Evolution Analysis ◽  
Prisoners Dilemma ◽  
Willingness To Cooperate

To analyze the willingness to cooperate of farmers to participate in water management, we base on game theory and first carry on single static game analysis of willingness to cooperate for farmers to participate in water management, and find that farmers are into a Prisoners Dilemma in a single game, individual rationality comes into conflict with collective rationality, at this time farmers have a tendency to "free riders", so it is difficult to achieve cooperation between the farmers. Then trying to break the prisoners' dilemma, we carry on the farmers repeated dynamic game, the analysis is carried on in the context of incomplete information and limited rationality, we carry on game evolution analysis for willingness to cooperate for farmers to participate in water management. In order to guarantee the rationality of the study, we conduct a survey of willingness to cooperate of farmers to participate in water management in province of Zhejiang and finally confirm that the study is reasonable. And through the analysis of the full text, we conclude six important conclusions.

The benefits of international cooperation under climate uncertainty: a dynamic game analysis

2018 ◽  
Vol 23 (4) ◽  
pp. 452-477
Author(s):  
Xiao-Bing Zhang ◽  
Magnus Hennlock
Keyword(s):  
Global Warming ◽  
International Cooperation ◽  
Dynamic Game ◽  
Stochastic Dynamic ◽  
Game Analysis ◽  
Climate Uncertainty ◽  
Expected Payoffs

AbstractThis paper investigates the benefits of international cooperation under uncertainty about global warming through a stochastic dynamic game. We analyze the benefits of cooperation both for the case of symmetric and asymmetric players. It is shown that the players’ combined expected payoffs decrease as climate uncertainty becomes larger, whether or not they cooperate. However, the benefits from cooperation increase with climate uncertainty. In other words, it is more important to cooperate when facing higher uncertainty. At the same time, more transfers will be needed to ensure stable cooperation among asymmetric players.

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