supply chain management
Mostafa Ziyaei Hajipirlu; Houshang Taghizadeh; Mortaza Honarmand Azimi
Abstract
The purpose of this study is to design supply chains' upstream structure evaluation model in the automotive industry with spectral clustering based on the theory of complex adaptive systems. In this research, a method for evaluating the intersectionalities related to the structural complexity (horizontal, ...
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The purpose of this study is to design supply chains' upstream structure evaluation model in the automotive industry with spectral clustering based on the theory of complex adaptive systems. In this research, a method for evaluating the intersectionalities related to the structural complexity (horizontal, vertical, and spatial) of supply chains by considering the functional characteristics of its components based on the resilience paradigm is presented. In this regard, a set of algebraic calculations and computational algorithms have been adapted to evaluate the structural design from the perspective of complex components. In the structural design evaluation model through spectral clustering, it is possible to enter information about supply chains in terms of interactions between components in the form of a network as a comprehensive model called similarity graph. According to the field findings, supply chain characteristics in terms of complexity can have interaction with component processing performance. This means that according to the concept of entanglement, the lack of a favorable environmental structure in supply chains can also negatively affect the resilience performance of its components. Findings from the perspective of achieving a supply chain evaluation model as an integrated whole have provided a suitable practical tool for evaluation and pathology of supply chains from the perspective of risk management.
mohammad reza nematollah; majid zamaheni; mohammad reza daraei; amirhossein amirkhani
Abstract
Today, the automotive industry has turned to scientific achievements for employing knowledge management One of them is the lack of attention to the work experience and skills of experienced people. The main goal of this research is to determine the framework for transforming tacit knowledge into explicit ...
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Today, the automotive industry has turned to scientific achievements for employing knowledge management One of them is the lack of attention to the work experience and skills of experienced people. The main goal of this research is to determine the framework for transforming tacit knowledge into explicit knowledge. The research methodology is applicable in terms of how to collect information from a survey type is . For this purpose, after reviewing the literature and analyzing the research gap, using the Delphi method and a survey of experts to identify possible dimensions in tacit knowledge has been discussed. The statistical population was a combination of university experts and automotive industry, and a sample of judiciary was conducted. The sample size consisted of 30 faculty members and specialists. The 4-dimensional and 4-dimensional questionnaire was extracted and 30 indicators were extracted from a 5-point Likert scale. In the first stage, all dimensions based on the literature and theoretical foundations of the research were ranked based on the obtained average and the incidence The panel members' opinion was reached, and in the second phase of the Delphi agreement, the same agreement as the first stage was created among panel members, and the survey was stopped according to theoretical saturation. The research findings show that, in terms of experts in four organizational dimensions, planning and project startup, conquer And modeling of tacit knowledge and explicit knowledge of documentary knowledge can be used as a framework for the transformation of tacit knowledge Explicit knowledge is named.