The Financial Risk Assessment of Manufacturing Firms under the Supply Chain Environment

2013 ◽  
Vol 433-435 ◽  
pp. 2367-2372
Author(s):  
Li Jun Li ◽  
Meng Tan Si
Keyword(s):  
Supply Chain ◽  
Financial Risk ◽  
Evaluation Method ◽  
Research Direction ◽  
Manufacturing Firms ◽  
Fuzzy Evaluation ◽  
Supply Chain Risk ◽  
Risk Valuation ◽  
Risk Transformation ◽  
New Research

Supply chain brings about many kinds of risk, as well as the competitive and marginal advantage. The financial risk of supply chain combines both supply chain risk and financial risk and leads the new research direction of supply chain management. Through analyzing the characteristics of manufacturing firms and concluding characteristic of financial risk transformation, the financial risk of manufacturing firms is classified. After the industry-based financial risk valuation index system is built, the Multi-level Fuzzy Evaluation method is used to evaluate it.

scholarly journals Logistics Informatization of Industrial Enterprises Based on Big Data and Its Application in Industrial Supply Chain Management

CONVERTER ◽  
2021 ◽  
pp. 693-701
Author(s):  
Ke Wang
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Fuzzy Evaluation ◽  
Digital Information ◽  
Chain Management ◽  
Industrial Enterprises

In the current digital information age, logistics is no longer the isolated transportation and storage of enterprises, nor is it the appendage of enterprise production and sales. This paper studies the logistics informatization of industrial enterprises and its application in industrial supply chain management under the background of big data. By analyzing the formation mechanism and covering modules of logistics informatization, this paper constructs the evaluation index system of logistics enterprise informatization. Based on the fuzzy evaluation method and the specific data of logistics information modernization of Chinese enterprises, this paper gives an application example of the evaluation model. Finally, this paper puts forward a reasonable analysis of the information construction of China's logistics enterprises in the future. The results show that this method can improve the efficiency of logistics informatization and supply chain management of industrial enterprises, and has certain reference significance for the research of logistics intelligence of industrial enterprises.

scholarly journals COMPLEXITIES IN A FLEXIBLE SUPPLY CHAIN AND THE ROLE OF KNOWLEDGE TRANSFER

2019 ◽  
Vol 7 (2) ◽  
pp. 531-538
Author(s):  
Kittisak Jermsittiparsert ◽  
Supamit Srisawat
Keyword(s):  
Supply Chain ◽  
Manufacturing Firms ◽  
Supply Chain Risk ◽  
Statistical Tool ◽  
Chain Flexibility ◽  
Knowledge Based ◽  
Supply Chain Flexibility ◽  
Supply Chain Agility ◽  
Internal Knowledge

Purpose: The current study is interested in exploring the nexus between product complexities, external and internal knowledge and supply chain flexibility of Indonesian manufacturing firms. Methodology: The study has employed the knowledge-based view to conceptualize the relationship between product complexities, external and internal knowledge and supply chain flexibility of Indonesian manufacturing firms. The complexity of manufacturing flexibility has made this concept difficult to comprehend yet delimit. To date, agreement on how to practice this concept has not yet been resolved. Employing the survey-based methodology, the SEM-PLS technique is used to test the hypothesized relationships. So, the current study has used SEM-PLS as a statistical tool to answer the research questions raised in this study and research objectives envisaged in the current study. Results: The findings of the study have provided support to the theoretical foundation and proposed hypothesis of the current study. Current study will be helpful for policymakers and practitioners in understanding the issues related to supply chain risk, supply chain integration and supply chain agility. In the author's knowledge this is among very few pioneering studies on this issue.

Application Research of Fuzzy Evaluation on Direct Trust Evaluation in the Supply Chain

2014 ◽  
Vol 687-691 ◽  
pp. 5136-5141
Author(s):  
Jing Chun Niu ◽  
Li Min Shen
Keyword(s):  
Supply Chain ◽  
Evaluation Method ◽  
Trust Model ◽  
Fuzzy Evaluation ◽  
Satisfaction Level ◽  
Corporate Fraud ◽  
Direct Trust ◽  
Trust Level ◽  
Satisfaction Evaluation ◽  
Speculative Behavior

In order to accurately and effectively evaluate the trust level between enterprises whose supply chain exists in direct transactions, this paper proposed a trust level evaluation method based on reputation, this method by introducing corporate transactions satisfaction level, corporate transaction amount, corporate transactions time, corporate transactions number and rewards and punishments factor five factors, which make description and measurement of corporate reputation more accurate. Meanwhile, in order to improve the measurement accuracy of corporate transactions satisfaction level, this paper proposes a transaction satisfaction evaluation method based on fuzzy evaluation, the transaction satisfaction were evaluated from product quality, product cost and completion time three aspects. Simulation results show that the model proposed by this paper can effectively evaluate the direct trust level of supply chain enterprises by the reputation. Compared with similar existing trust model, this model evaluates direct trust between enterprises more accurately and objectively. It also effectively reduces the occurrence of corporate fraud and speculative behavior.

scholarly journals Cross-Border E-Commerce Supply Chain Risk Evaluation with FUZZY-ISM Model

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Zhiqi Fang ◽  
Qifeng Wang
Keyword(s):  
Supply Chain ◽  
Foreign Trade ◽  
Risk Evaluation ◽  
Evaluation Method ◽  
Structural Model ◽  
Evaluation Index System ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Cross Border ◽  
The Cross

As a main new business model of Internet plus foreign trade, cross-border e-commerce has become an important way and breakthrough for China creating new foreign trade requirements in Internet economy. Cross-border supply chain management is one of the most important supports for cross-border e-commerce. Compared with domestic e-commerce, the supply chain of cross-border e-commerce faces more risks. In order to effectively identify and avoid the operational risks in the cross-border e-commerce supply chain, this article firstly analyzes the cross-border e-commerce supply chain risks from the operation process of the cross-border e-commerce supply chain. The risks include product selection management risks, cross-border transaction risks, and customs clearance risks that exist in the operation of cross-border e-commerce. Secondly, the cross-border e-commerce supply chain risk evaluation index system is established based on the risk elements. Finally, the risk evaluation is carried out through the FUZZY-ISM evaluation method, and the internal connection of each risk factor and the risk generation mechanism are revealed through structural model analysis, which provides a theoretical reference for cross-border e-commerce enterprise supply chain risk management.

Modelling the supply chain risk variables using ISM: a case study on Indian manufacturing SMEs

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Harish Babu ◽  
Prabhas Bhardwaj ◽  
Anil K. Agrawal
Keyword(s):  
Supply Chain ◽  
Financial Risk ◽  
Small And Medium Enterprises ◽  
Complex Structure ◽  
Significant Risk ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Content Type ◽  
Multiple Partners

Purpose In the Indian manufacturing SMEs context, supply chains have a complex structure having multiple echelons, multiple partners and multiple locations. Due to these complexities, most of the Indian manufacturing SMEs face several types of supply chain risks. This paper aims to identify the dominant risk variables and to develop the interrelationship among these risk variables. Design/methodology/approach Based on the literature review and experts’ opinion, nine dominant risk variables faced by an Indian manufacturing SMEs have been identified. An interpretive structural modelling (ISM) approach has been adopted to establish the interrelationship among the risk variables. These risk variables have been classified by using MICMAC analysis. Based on ISM-MICMAC approach, a case study on three Indian manufacturing SMEs has been carried out. Findings This study would help the supply chain managers to understand and prioritize the significant risk variables. Nine significant risks variables of Indian manufacturing small and medium enterprises (SMEs) have been studied. External risk, information technology risk and financial risk have identified as most influencing risk variables, while delay risk and market risk have emerged as the most dependent risk variables. These results will provide a guideline to supply chain managers for implementation of supply chain risk management (SCRM). Research limitations/implications In this study, an ISM-based model is developed based on the opinion of experts from a group of Indian manufacturing SMEs; as such, this model may be biased and limited to a selected company. This framework can be extended further by adding more risk variables and sub-risk variables from the other sectors/organizations. Originality/value Many SCRM models are available in past literature, but no model has been proposed for the Indian Manufacturing SMEs. This research finding can be useful for managers to understand the characteristics and interrelationships among the risk variables for building a robust supply chain. These results will also help the supply chain managers in making proactive plans for SCRM, especially in the Indian SMEs context.

Supply Chain Risk Assessment in the Ornamental Fish Supply Chain

2019 ◽  
Vol 8 (2) ◽  
pp. 36-50
Author(s):  
Mohammed C. Iqbal ◽  
Shalij P.R
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Supply Chain ◽  
Conceptual Framework ◽  
Financial Risk ◽  
Ornamental Fish ◽  
Supply Chain Risk ◽  
Supply Risk ◽  
Clear View ◽  
Significant Difference

Systematic risk management plays a key role in confronting the emerging challenges of business. A conceptual framework is presented here for the evaluation of risks in the ornamental fish supply chain. With a prolonged study and deliberations with field experts, various types of risks are brought out of the ornamental fish supply chain. From the study, the types of risks associated are clustered into six categories, namely macro level risk, demand risk, supply risk, quality risk, risk on asset and infrastructure and financial risk, to find out the major risks in this supply chain. Friedman's ranked data test is applied to find the significant difference in various risks clustered in the categories. The study allows a supply chain member to develop a clear view of risk related to the entire supply chain. The article can help the members of the ornamental fish supply chain to make use of the study and information to make more efficient and effective supply chain.

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.

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