scholarly journals Research on Collaborative Efficiency Evaluation of Complex Supplier Network under the Background of Intelligent Manufacturing

Processes ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 2158
Author(s):  
Minghao Zhang ◽  
Li Shi ◽  
Xiangzhi Zhuo ◽  
Yuan Liu
Keyword(s):  
Evaluation Model ◽  
Scoring Function ◽  
Intelligent Manufacturing ◽  
Measurement Tool ◽  
Efficiency Evaluation ◽  
Complex Network Theory ◽  
Manufacturing Enterprises ◽  
Multi Level ◽  
Collaborative Evaluation ◽  
Relationship Of

Supplier network collaborative efficiency evaluation is important content in the transformation and upgrading of intelligent manufacturing enterprises. Aiming at the shortcomings of existing methods, this paper proposes a new method to evaluate the collaborative efficiency of internal members of a complex supplier network based on complex network theory. Based on the analysis of the characteristics of the complex supplier network, from the perspective of the system, the macro supplier network is divided into multiple multi-level supplier micro subsystems with manufacturing enterprises as the core. In order to reasonably quantify the collaboration relationship of members in the subsystem structure model, the collaboration entropy is introduced as a measurement tool, and combined with the hesitation fuzzy scoring function, and the collaborative evaluation model of the complex supplier network is constructed. By quantifying the collaboration relationship among the members in the subsystem and summarizing it step by step and iteratively, the collaborative efficiency evaluation of the complex supplier network from local to overall is realized. Finally, taking a large battery manufacturing enterprise in China as an example, the proposed method is used to calculate the collaboration entropy, collaborative efficiency, and collaboration ratio of members at different supplier network levels. The results verify the effectiveness of the model.

scholarly journals Neuro-inspired Framework for Cognitive Manufacturing Control

2021 ◽  
Vol 16 (6) ◽  
Author(s):  
Ioan Dumitrache ◽  
Simona Iuliana Caramihai ◽  
Dragos Constantin Popescu ◽  
Mihnea Alexandru Moisescu ◽  
Ioan Stefan Sacala
Keyword(s):  
Problem Solving ◽  
Intelligent Manufacturing ◽  
Smart Manufacturing ◽  
Software Modeling ◽  
Manufacturing Enterprises ◽  
Data Flows ◽  
New Vision ◽  
Generation Mechanisms ◽  
And Behavior ◽  
High Degree

There are currently certain categories of manufacturing enterprises whose structure, organization and operating context have an extremely high degree of complexity, especially due to the way in which their various components interact and influence each other. For them, a series of paradigms have been developed, including intelligent manufacturing, smart manufacturing, cognitive manufacturing; which are based equally on information and knowledge management, management and interpretation of data flows and problem solving approaches. This work presents a new vision regarding the evolution of the future enterprise based on concepts and attributes acquired from the field of biology. Our approach addresses in a systemic manner the structural, functional, and behavioral aspects of the enterprise, seen as a complex dynamic system. In this article we are proposing an architecture and management methodology based on the human brain, where the problem solving is achieved by Perception – Memory – Learning and Behavior Generation mechanisms. In order to support the design of such an architecture and to allow a faster learning process, a software modeling and simulation platform was developed and is briefly presented.

Influence of technological innovation capabilities on product competitiveness

2016 ◽  
Vol 116 (5) ◽  
pp. 883-902 ◽  
Author(s):  
Lijun Liu ◽  
Zuhua Jiang
Keyword(s):  
New Product Development ◽  
Technological Innovation ◽  
Quantitative Research ◽  
Yangtze River Delta ◽  
Equation Model ◽  
Organizational Capabilities ◽  
Organizational Strategies ◽  
Content Type ◽  
Knowledge Resources ◽  
Manufacturing Enterprises

Purpose – The purpose of this paper is to shed light on how technological innovation capabilities (TICs) influence the product competitiveness of Chinese manufacturing enterprises and identify the key technological innovation components. Design/methodology/approach – Quantitative research setting was applied in Chinese Yangtze River Delta. Survey was carried out with 166 responses. Findings – The study reveals that the firm’s strategies capabilities, knowledge resources, fundamental research, application R & D, and manufacturing capabilities have significant influence on the new product development performance and product competitiveness of Chinese manufacturing enterprises. Interestingly, firm’s organizational capabilities and human, finance, and material resource have no significant correlation with the product competitiveness. Practical implications – From a practical perspective, the relationships among TICs enablers, processes, and product competitiveness may provide a clue regarding how firms can promote technological innovation to sustain their competitive advantage. Moreover, the key factors of TICs found in the study are useful for policy makers and managers of Chinese firms to make decision. Originality/value – This study is one of the first studies to apply the structure equation model method to measure the relationship between TICs and product competitiveness under the background of Chinese manufacturing. The results provide a new framework on the how technological innovation capability influence product competitiveness of Chinese manufacturing firms. From a managerial perspective, this study identifies several crucial TICs factors to support product competitiveness, and discusses the implications of these factors for developing organizational strategies that encourage technological innovation.

scholarly journals SOCIAL INNOVATION: TOWARDS A NEW INNOVATION PARADIGM

2016 ◽  
Vol 17 (6) ◽  
pp. 20-44 ◽  
Author(s):  
JÜRGEN HOWALDT ◽  
DMITRI DOMANSKI ◽  
CHRISTOPH KALETKA
Keyword(s):  
Technological Innovation ◽  
Social Innovation ◽  
Social Needs ◽  
Systematic Analysis ◽  
Empirical Results ◽  
Innovation Research ◽  
High Dependency ◽  
Social Innovations ◽  
Global Mapping ◽  
Methodological Aspects

ABSTRACT Purpose: Against the backdrop of clear paradoxes and confusion in prevailing innovation policies, the contours of a new innovation paradigm, as elaborated in this paper, are becoming visible and causing social innovation to grow in importance. Originality/gap/relevance/implications: However, innovation research is still lacking sustained and systematic analysis of social innovation, its theories, characteristics, and impacts. The purpose of this paper is to focus on a theoretically sound concept of social innovation as a precondition for an integrated theory of socio-technological innovation in which social innovation is more than an appendage of technological innovation. Key methodological aspects: The paper presents first empirical results of the global research project "SI-DRIVE: Social Innovation - Driving Force of Social Change" and introduces key findings of a global mapping of social innovation initiatives. This quantitative mapping is based upon 1.005 social innovation initiatives. Summary of key results: The mapping underlines the broad range of actors involved in the mapped initiatives and thereby confirms the need for a cross-sectoral concept of social innovation. It reveals a high diversity of social needs and societal challenges addressed by the initiatives as well as a high dependency on networks. The results also show that 90% of the initiatives are scaling. Key considerations/conclusions: Finally, on the basis of these empirical results, a recourse to Gabriel Tarde's social theory allows us to widen a perspective which was narrowed to economic and technological innovations by Schumpeter and after him by the sociology of technology, and to include social innovations in all their diversity.

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