Principles and Methods of Model-Based Decision-Making in the Supply Chain

2017 ◽  
pp. 91-114
Author(s):  
Dmitry Ivanov
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Model Based

The Application of a Multi-Attribute Group Decision Making Model Based on Linguistic Extended VIKOR for Quantifying Risks in a Supply Chain Under a Fuzzy Environment

2020 ◽  
Vol 13 (2) ◽  
pp. 27-46
Author(s):  
Muhammad Nazam ◽  
Liming Yao ◽  
Muhammad Hashim ◽  
Sajjad Ahmad Baig ◽  
Muhammad Kashif Khan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Group Decision Making ◽  
Financial Risk ◽  
Group Decision ◽  
Risk Index ◽  
Aviation Industry ◽  
Practical Case ◽  
Supply Chain Risk ◽  
Model Based

In this research, the quantification of supply chain risk has been investigated from the perspectives of the buyer. The objective of this research article is to investigate numerous risks that affect the aviation supply chain (ASC) performance and to develop a proposed framework to measure the overall supply chain risk index by considering the importance of each risk. Aviation industry is at higher level of risks, that's why the researchers have identified the most serious 10 supply chain risks (SCRs) in this industry. In order to tackle with this key problem, an indexing system for comprehensive risk evaluation has been developed, which captures the ratings and weights for risk factors, namely occurrence probability, severity of impact, and ease of mitigation, encountered by a holistic supply chain in a given scenario. In this context, to quantify the risks in a supply chain, the researchers have formulated as a fuzzy multi-attribute group decision making (FMAGDM) model, based on fuzzy FMEA and extended VIKOR methods to analyze the most feasible solution according to the selected risk parameters as per situation. The results of the present study depicted that disruption risk, financial risk, and legal/political regulations are the most significant and typical risk (ASC). A practical case study in an aviation sector of Pakistan is piloted to check the practicability of the suggested methodology. Finally, the effectiveness of the proposed model has been discussed by ranking risk alternatives in descending order. In order to check the robustness of results, a sensitivity analysis has been conducted.

Blockchain in Supply Chain: Case Study of Lottemart Ciputat

2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Information Asymmetry ◽  
New Technology ◽  
Business Case ◽  
Analysis Method ◽  
Chain Management ◽  
Production Processes

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.

Post COVID-19 Potentials and Innovation: The Future Supply Chain

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1054-1057
Author(s):  
Bindu Swetha Pasuluri ◽  
Anuradha S G ◽  
Manga J ◽  
Deepak Karanam
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
World Health Organization ◽  
World Wide ◽  
World Health ◽  
Future Supply ◽  
Entire World ◽  
Health Organization

An unanticipated outburst of pneumonia of inexperienced in Wuhan, , China stated in December 2019. World health organization has recognized pathogen and termed it COVID-19. COVID-19 turned out to be a severe urgency in the entire world. The influence of this viral syndrome is now an intensifying concern. Covid-19 has changed our mutual calculus of ambiguity. It is more world-wide in possibility, more deeply , and much more difficult than any catastrophe that countries and organizations have ever faced. The next normal requires challenging ambiguity head-on and building it into decision-making. It is examined that every entity involved in running supply chains would require through major as employee, product, facility protocols, and transport would have to be in place. It is an urgent need of structuring to apply the lessons well-read for our supply chain setup. With higher managers now being aware of the intrinsic hazards in their supply chain, key and suggestions-recommendations will help to guide leader to commit to a newly planned, more consistent supply chain setup. Besides, the employees’ mental health is also a great concern.

scholarly journals Decision-making for Green Supply Chain Considering Fairness Concern Based on Trade Credit

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Haoxiong Yang ◽  
Enlu Shao ◽  
Yuanyuan Gong ◽  
Xiaolin Guan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Trade Credit ◽  
Green Supply Chain ◽  
Fairness Concern

scholarly journals Extended VIKOR-QUALIFLEX Method Based on Trapezoidal Fuzzy Two-Dimensional Linguistic Information for Multiple Attribute Decision-Making with Unknown Attribute Weight

Mathematics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 37
Author(s):  
Ye Li ◽  
Yisheng Liu
Keyword(s):  
Decision Making ◽  
Qualitative Evaluation ◽  
Multiple Attribute Decision Making ◽  
Two Dimensional ◽  
Linguistic Variables ◽  
Linguistic Information ◽  
Attribute Weight ◽  
Model Based ◽  
Subjective Weight ◽  
Multiple Attribute

Considering the advantages of trapezoid fuzzy two-dimensional linguistic variables (TrF2DLVs), which can not only accurately describe the qualitative evaluation but also use qualitative linguistic variables (LVs) to describe the confidence level of this evaluation in the second dimension, this paper proposes a novel method based on trapezoidal fuzzy two-dimensional linguistic information to solve multiple attribute decision-making (MADM) problems with unknown attribute weight. First, a combination weight model is constructed, which covers a subjective weight determination model based on the proposed trapezoidal fuzzy two-dimensional linguistic best-worst method (TrF2DL-BWM) and an objective weight determination model based on the proposed CRITIC method. Then, in order to accurately rank the alternatives, an extended VIKOR-QUALIFLEX method is proposed, which can measure the concordance index of each ranking combination by means of group utility and individual maximum regret value of each evaluation alternative. Finally, a practical problem of lean management assessment for industrial residential projects is solved by the proposed method, and the effectiveness and advantages of the method are demonstrated by comparative analysis and discussion.

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