Research on Equipment Procurement Supply Chain Quality Performance Evaluation Based on Improved EAHP

Author(s):  
Dubo He ◽  
Dong Huang ◽  
Songsong Zhao
2020 ◽  
Vol 214 ◽  
pp. 03036
Author(s):  
He Dubo ◽  
Huang Dong

Aiming at the ambiguity and uncertainty in subjective group decision-making of supply chain quality performance evaluation, the traditional preference ranking organization methods for enrichment evaluation (PROMETHEE) is extended to a fuzzy environment, and a new intuitive fuzzy PROMETHEE model is proposed. The model uses intuitionistic fuzzy numbers to express the decision-maker’s semantic evaluation information, and establishes a trust function based on the evaluation information to determine the decision-maker’s weight. Then, use the method of maximizing the net flow to obtain the attribute weight. Finally, gather the evaluation information to obtain the decision group’s pros and cons. The validity and feasibility of the model is verified by an example.


2014 ◽  
Vol 635-637 ◽  
pp. 1771-1775 ◽  
Author(s):  
Hui Min Jia ◽  
Kai Chao Yu ◽  
Jin Chang Zhang

Leagile supply chain integrates lean supply chain and agile supply chain. In this paper, the theory of lean production and agile manufacturing are compared and analyzed, and then the leagile supply chain model and the performance evaluation system based on DEA are established. Based on the above, this paper provides an example of the evaluation system to verify the operability and effectiveness, which can provide the reference for enterprises to improve operating mode of the supply chain or develop a new leagile supply chain.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sanjana Mondal ◽  
Kaushik Samaddar

PurposeThe paper aims to explore the various dimensions of human factor relevant for integrating data-driven supply chain quality management practices (DDSCQMPs) with organizational performance. Keeping the transition phase from “Industry 4.0” to “Industry 5.0” in mind, the paper reinforces the role of the human factor and critically discusses the issues and challenges in the present organizational setup.Design/methodology/approachFollowing the grounded theory approach, the study arranged in-depth interviews and focus group sessions with industry experts from various service-oriented firms in India. Dimensions of human factor identified from there were grouped together through a morphological analysis (MA), and interlinkages between them were explored through a cross-consistency matrix.FindingsThis research work identified 20 critical dimensions of human factor and have grouped them under five important categories, namely, cohesive force, motivating force, regulating force, supporting force and functional force that drive quality performance in the supply chain domain.Originality/valueIn line with the requirements of the present “Industry 4.0” and the forthcoming “Industry 5.0”, where the need to collaborate human factor with smart system gets priority, the paper made a novel attempt in presenting the critical human factors and categorizing them under important driving forces. The research also contributed in linking DDSCQMPs with organizational performance. The proposed framework can guide the future researchers in expanding the theoretical constructs through initiating further cross-cultural studies across industries.


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