Research on the Impact Factors of Quality Risk in the Mobile Supply Chain of Intelligent Manufacturing

2020 ◽  
pp. 84-93
Author(s):  
Caihong Liu ◽  
June Wei
Keyword(s):  
Supply Chain ◽  
Intelligent Manufacturing ◽  
Impact Factors ◽  
Quality Risk ◽  
The Impact

scholarly journals Influencing Factors and Evaluation Model of Quality Risks in Intelligent Manufacturing Mobile Supply Chain

2020 ◽  
Vol 53 (6) ◽  
pp. 953-961
Author(s):  
Yujie He
Keyword(s):  
Supply Chain ◽  
Influencing Factors ◽  
Time Management ◽  
Evaluation Model ◽  
Intelligent Manufacturing ◽  
Risk Identification ◽  
Evaluation Index System ◽  
Factors Affecting ◽  
Four Dimensions ◽  
Quality Risk

The intelligent manufacturing (IM) supply chain (SC) involves multiple distributed agents. The mobile supply chain (MSC) technology supports the real-time management of key information resources in the supply chain of IM products. This paper explores the influencing factors and evaluation model of quality risks in IM MSC, trying to make realistic evaluation of the actual quality risks of the enterprise. Firstly, the authors constructed a quality risk identification framework for IM MSC, and a hierarchical evaluation index system (EIS) based on the factors affecting quality risks. Besides, the features and attributes of four dimensions of quality risks were specified, and the corresponding intuitive triangular fuzzy numbers were given. Next, an evaluation model was established for the quality risks of IM MSC based on backpropagation neural network (BPNN). After the evaluation of quality risks, a contract model was designed for the quality risk control in IM MSC. The proposed EIS and models were proved effective through experiments.

Modeling enablers of supply chain quality risk management: a grey-DEMATEL approach

2019 ◽  
Vol 32 (5) ◽  
pp. 1059-1076
Author(s):  
Anupama Prashar ◽  
Shikha Aggarwal
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Empirical Study ◽  
Early Stage ◽  
Content Type ◽  
Quality Risk Management ◽  
Automotive Supply Chain ◽  
Quality Risk ◽  
Automotive Supply ◽  
The Impact

Purpose The purpose of this paper is to recognize and model the enablers of supply chain quality risk management (SCQRM) through an empirical study in the Indian automotive companies. Design/methodology/approach A systematic literature review was conducted to extract the key enablers of quality management (QM) and risk management in the context of manufacturing supply chains. A grey-based DEMATEL method was employed to identify and model the key enablers of SCQRM. Findings The results of empirical study showed that the effectiveness of QM and risk management systems for automotive supply chain is driven by a set of common enablers that could be employed for developing dedicated SCQRM systems. The common causal factors in the model such as the involvement of top leaders, inter-firm communication and strategic-level alignment between supply chain members on both these issues clearly state that there is a need for a broader policy at an early stage. Practical implications It is crucial for the automotive companies to develop and implement structured systems for SCQRM keeping in view the impact of any unaddressed quality risk on missed production targets, vehicle recalls and safety hazards. Originality/value This study ascertains the key enablers of SCQRM with emblematic focus on automotive industry and identifies if there are commonalities in these enablers.

scholarly journals Aquaculture promotion through Agricultural Technology Management Agency - a case study in Kerala

2016 ◽  
Vol 63 (3) ◽  
Author(s):  
Nisha Elizabeth Joshua ◽  
S.N. Ojha
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Technology Management ◽  
Fish Farming ◽  
Agricultural Technology ◽  
Impact Factors ◽  
Chain Management ◽  
Management Agency ◽  
The Impact

 　Agricultural Technology Management Agency (ATMA) is an autonomous body that has linkage with all the line departments, like Department of Fisheries (DoF), that works towards raising farmer’s income and involved in formulation of suitable strategies for empowering the farmers. In this study, ATMA impact factors among fish farmers were reviewed and discussed with the local officers. The impact factors considered were the types of culture, number of species cultured, yield disposition, marketing and expenditure in fish farming. It was observed, from a sample of 225 fish farmers, that Alappuzha, Ernakulam and Kollam districts responded more towards ‘type of culture’ and less towards ‘marketing’, whereas Kottayam and Thrissur districts responded more towards marketing. Among all the impact factors, expenditure on aquaculture was found to be significantly associated with income in all the five districts. This was followed by marketing (4 districts), yield disposition (3 districts), fish species cultured (3 districts) and type of culture (2 districts). On the contrary, it was observed that ATMA support was not similarly associated with these factors, especially for yield disposition and marketing in aquaculture. Therefore, suitable strategies are recommended to strengthen the supply chain management through ATMA.

scholarly journals Investigating the Impact Factors of the Logistics Service Supply Chain for Sustainable Performance: Focused on Integrators

2019 ◽  
Vol 11 (2) ◽  
pp. 538 ◽  
Author(s):  
Yingjie Ju ◽  
Yue Wang ◽  
Ye Cheng ◽  
Jun Jia
Keyword(s):  
Supply Chain ◽  
Service Providers ◽  
Impact Factors ◽  
Opportunistic Behavior ◽  
Logistics Industry ◽  
Logistics Service ◽  
Sustainable Performance ◽  
Service Supply Chain ◽  
Logistics Services ◽  
The Impact

The overall scale of China’s logistics industry is growing rapidly, and the environment and conditions for its development are constantly improving, which lays a solid foundation for further accelerating the development of the logistics industry. However, logistics services are characterized by subordination, immediacy, demand volatility, and substitutability. Low-level integrated management of logistics services seriously hinders the development of the logistics service supply chain (LSSC) for sustainable performance. Many studies have been limited to the performance evaluation of LSSCs, and the factors affecting LSSC performance have generally been ignored. This study focuses on integrated LSSCs by using an integrator’s opportunistic behavior as the entry point of research and investigates the factors that affect the sustainability of LSSC performance. On the basis of relevant theories, a model for a hypothesis is constructed and eight hypotheses are subsequently proposed. Moreover, 271 survey responses from functional logistics service providers (research object) are utilized to develop a structural equation model for empirical research. Findings show that integrators with opportunistic behavior inhibit the information-sharing behavior of supply chain members. Consequently, the integration capability and agility of LSSCs are reduced, which affects the overall performance of LSSCs. The findings of this study can provide management insights into the behaviors of supply chain members and governments.

The Impact of Anglicizing Former German-Language Psychology Journals on Authorship and Citation Frequencies

2012 ◽  
Vol 17 (3) ◽  
pp. 190-198 ◽  
Author(s):  
Günter Krampen ◽  
Thomas Huckert ◽  
Gabriel Schui
Keyword(s):  
Side Effects ◽  
English Language ◽  
General Trend ◽  
Native Language ◽  
Impact Factors ◽  
German Language ◽  
Journal Articles ◽  
Number Of Citations ◽  
The Impact ◽  
Number Of Authors

Exemplary for other than English-language psychology journals, the impact of recent Anglicization of five former German-language psychology journals on (1) authorship (nationality, i.e., native language, and number of authors, i.e., single or multiple authorships), (2) formal characteristics of the journal (number of articles per volume and length of articles), and (3) number of citations of the articles in other journal articles, the language of the citing publications, and the impact factors (IF) is analyzed. Scientometric data on these variables are gathered for all articles published in the four years before anglicizing and in the four years after anglicizing the same journal. Results reveal rather quick changes: Citations per year since original articles’ publication increase significantly, and the IF of the journals go up markedly. Frequencies of citing in German-language journals decrease, citing in English-language journals increase significantly after the Anglicization of former German-language psychology journals, and there is a general trend of increasing citations in other languages as well. Side effects of anglicizing former German-language psychology journals include the publication of shorter papers, their availability to a more international authorship, and a slight, but significant increase in multiple authorships.

The Impact of a Potential Public/Private Initiative on a Defined Region of the South Suburban Chicago Metropolitan Area

2019 ◽  
pp. 14-32
Keyword(s):  
Supply Chain ◽  
Economic Impact ◽  
Impact Analysis ◽  
Census Data ◽  
Economic Benefits ◽  
Local Economy ◽  
Market Area ◽  
State And Local ◽  
The University ◽  
The Impact

The university is considered one of the engines of growth in a local economy or its market area, since its direct contributions consist of 1) employment of faculty and staff, 2) services to students, and supply chain links vendors, all of which define the University’s Market area. Indirect contributions consist of those agents associated with the university in terms of community and civic events. Each of these activities represent economic benefits to their host communities and can be classified as the economic impact a university has on its local economy and whose spatial market area includes each of the above agents. In addition are the critical links to the University, which can be considered part of its Demand and Supply chain. This paper contributes to the field of Public/Private Impact Analysis, which is used to substantiate the social and economic benefits of cooperating for economic resources. We use Census data on Output of Goods and Services, Labor Income on Salaries, Wages and Benefits, Indirect State and Local Taxes, Property Tax Revenue, Population, and Inter-Industry to measure economic impact (Implan, 2016).

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