The Integration of Fuzzy-ISM, Fuzzy-AHP, and Fuzzy-MICMAC Approach under Trapezoid Fuzzy Linguistic to Analyze Enablers of The Logistics Outsourcing Relationship: Mekong Delta, Vietnam Rice Supply Chain Context

Abstract

The purpose of this paper is to analyze the effects of the factors and determine the importance of these factors to the LO relationship with the desire to improve the efficiency in logistics activities of the supply chain. An integrated approach including Fuzzy Interpretation Structure Model (FISM), Fuzzy Cross-Impact Matrix Multiplication Applied to Classification (FMICMAC) analysis, Fuzzy Analytic Hierarchy Process (FAHP) is structured in reaching this purpose. Specifically, the impact of factors on the LO relationship will be determined through the FISM-FMICMAC method, then FAHP will use the results from this FISM-FMICMAC analysis step to perform the determination of the level of importance of contributing factors to the LO relationship. The fuzzy number formats of this paper are all in trapezoidal format. To evaluate the proposed framework, a typical example of logistics activity in the Mekong Delta Rice Supply Chain (SuC) was selected. The results have shown the impact level of 14 factors on the LO relationship under 4 clusters (Dependent, Linkage, Independent Autonomous). Finally, only the 10 most outstanding of the 14 factors were used to conduct FAHP analysis to find the global weightages which contribute to the LO relationship by each factor.

Risk Analysis of Military Logistics Outsourcing Under The Background of Informatization And Big Data of Logistics

“…The reasons for using the AHP method [7] for risk measurement in the paper are as follows: (1) AHP is a scientific method combining qualitative and quantitative methods, which is suitable for some evaluation and trade-offs without structural characteristics; (2) The structure of AHP method is highly similar to the hierarchical model structure of military logistics outsourcing risk;…”

“…Many studies are biased towards qualitative research. A few scholars have summarized the quantitative evaluation methods of military logistics outsourcing risk, such as the fuzzy comprehensive evaluation method [1], analytic hierarchy process (AHP) [7], structural entropy weight method [8], etc; However, from the perspective of risk influencing factors, on the one hand, the analysis is not comprehensive and reasonable, such as outsourcing subject risk, outsourcing object risk, outsourcing environment risk, etc. [2] but does not include others; on the other hand, the existing research is not detailed enough, and there are few specific, practical and quantitative studies.…”

Determining the Tiers of a Supply Chain Using Machine Learning Algorithms

“…Liu and Li [16] used blockchain technology in the supply chain and suggested that blockchain technology can improve the efficiency of the supply chain while securing the reliability of information to correct abnormal data in the supply chain. Loi et al [17] used an integrated approach including a fuzzy interpretation structure model (FISM), fuzzy cross-impact matrix multiplication applied to classification (FMICMAC) analysis, and fuzzy analytic hierarchy process (FAHP) to the rice supply chain and explained that the logistics activities of the supply chain are improved through their use. Sakai [18] proposed an integrated human management system for the strategic operation of global production to realize "simultaneous start-up and same quality" around the world and proved its efficiency by applying it in the field.…”