.png){kind=icon}
返回
A Risk Analysis-Based Multi-Attribute Decision-Making Framework for Supply Chain Management Using Hypersoft Mappings
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2024.3441717.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Opting for the right supplier is critical for a firm's prosperity due to the impact of decisions made on uncertainty in symmetrical decision factors like pricing, manufacturing, service efficiency, and client satisfaction. Deciding on an appropriate supplier can be problematic because there are many considerations to consider, and they occasionally contradict each other. The supplier selection problem (SuSP) has been discussed in the literature in various situations while considering different considerations. Under the symmetry of uncertainty, operational risk analysis is nevertheless inadequate. This study is accomplished in two phases. In the first phase, we delve into the notions, basic properties, and theorems associated with hypersoft mapping (HypSM). These basic features are indispensable, as they endow the theoretical base essential for the subsequent phase. In the second phase, we leverage the aggregations of HypSM to develop a robust decision-assisted mechanism. This mechanism, which incorporates the robust algorithm and SuSP analysis, is constructed directly upon the insights and aggregations explored in the first phase, revealing the practical use of HypSM in decision-making. Concerning soft mapping (SOM), HypSM is more adaptable since its approximate function takes into account multiple argument domains to help decision-makers handle convoluted structural challenges involving uncertainty. Additionally, the proposed decision system considers various operational risks, like material quality-based risks, service quality-based risks, supplier's market profile-based risks, and deep-rooted cooperation-based risks, for the approximation and evaluation of appropriate suppliers. This approach is expected to enhance decision-making by comprehensively evaluating supplier risks.
Keyword:
Risk analysis
Decision making
Uncertainty
Supply chain management
Reliability
Costs
Companies
Optimization methods
Hypersoft set
operational risks
uncertainties
supplier selection
decision making
optimization
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
分享收藏A Framework for Susceptibility Analysis of Brain Tumours Based on Uncertain Analytical Cum Algorithmic Modeling.png)
BIOENGINEERING-BASEL
OAAI
BIOENGINEERING-BASELIF3.7
OAAI分享收藏分享收藏A novel supplier selection method that integrates the intuitionistic fuzzy weighted averaging method and a soft set with imprecise data一种新的供应商选择方法，该方法集成了直觉模糊加权平均方法和具有不精确数据的软集
PREAI
分享收藏
查看更多内容