scholarly journals A Study of Supply Chain Risk Factors of the Large- Scale Apparel Manufacturing Companies – Sri Lanka

2021 ◽  
Vol 54 (3) ◽  
pp. 49
Author(s):  
P. T. Ranil. S. Sugathadasa ◽  
S. W. Senadheera ◽  
A. Thibbotuwawa
Keyword(s):  
Risk Factors ◽  
Supply Chain ◽  
Sri Lanka ◽  
Large Scale ◽  
Manufacturing Companies ◽  
Supply Chain Risk ◽  
Apparel Manufacturing

scholarly journals Identifying the Supply Chain Risk Factors in Cinnamon Export Industry in Sri Lanka

2021 ◽  
Vol 3 (1) ◽  
pp. 81
Author(s):  
P. T. R. S. Sugathadasa ◽  
H. N. Perera ◽  
H. C. Hewage ◽  
S. P. A. V. S. Samarakoon
Keyword(s):  
Risk Factors ◽  
Supply Chain ◽  
Sri Lanka ◽  
Supply Chain Risk ◽  
Export Industry

scholarly journals Highlighting the Importance of Considering the Impacts of Both External and Internal Risk Factors on Operational Parameters to Improve Supply Chain Risk Management

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 49297-49315 ◽  
Author(s):  
Abdullah Salamai ◽  
Omar K. Hussain ◽  
Morteza Saberi ◽  
Elizabeth Chang ◽  
Farookh Khadeer Hussain
Keyword(s):  
Risk Factors ◽  
Risk Management ◽  
Supply Chain ◽  
Supply Chain Risk Management ◽  
Operational Parameters ◽  
Supply Chain Risk ◽  
Improve Supply Chain

scholarly journals Reverse logistics risk management: identification, clustering and risk mitigation strategies

2020 ◽  
Vol 58 (7) ◽  
pp. 1449-1474 ◽  
Author(s):  
Hamidreza Panjehfouladgaran ◽  
Stanley Frederick W.T. Lim
Keyword(s):  
Risk Factors ◽  
Risk Management ◽  
Supply Chain ◽  
Reverse Logistics ◽  
Risk Mitigation ◽  
Mitigation Strategies ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Content Type ◽  
Risk Mitigation Strategies

PurposeReverse logistics (RL), an inseparable aspect of supply chain management, returns used products to recovery processes with the aim of reducing waste generation. Enterprises, however, seem reluctant to apply RL due to various types of risks which are perceived as posing an economic threat to businesses. This paper draws on a synthesis of supply chain and risk management literature to identify and cluster RL risk factors and to recommend risk mitigation strategies for reducing the negative impact of risks on RL implementation.Design/methodology/approachThe authors identify and cluster risk factors in RL by using risk management theory. Experts in RL and supply chain risk management validated the risk factors via a questionnaire. An unsupervised data mining method, self-organising map, is utilised to cluster RL risk factors into homogeneous categories.FindingsA total of 41 risk factors in the context of RL were identified and clustered into three different groups: strategic, tactical and operational. Risk mitigation strategies are recommended to mitigate the RL risk factors by drawing on supply chain risk management approaches.Originality/valueThis paper studies risks in RL and recommends risk management strategies to control and mitigate risk factors to implement RL successfully.

Key risks in the supply chain of large scale engineering and construction projects

2018 ◽  
Vol 23 (4) ◽  
pp. 336-350 ◽  
Author(s):  
Christian A. Rudolf ◽  
Stefan Spinler
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Construction Projects ◽  
Large Scale ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Content Type ◽  
New Perspective ◽  
Risk Taxonomy ◽  
Supply Chain Risks

Purpose Large-scale projects are the typical delivery model in the engineering and construction industry, with their very own characteristics. Even though well established, only 1 in 1,000 large-scale projects is successful (Flyvbjerg, 2011). A lack of effective supply chain risk management (SCRM) has repeatedly been identified as one of the main causes. While the SCRM body of knowledge seems increasingly well established, a lack of effective methods meeting the specific requirements of large-scale projects can be observed. Design/methodology/approach This paper presents a structured and prioritized view on the supply chain risk portfolio in this sector: first, the authors identified and categorized the key supply chain risks in the recent literature. Next, the authors surveyed large-scale project managers across multiple industries, mainly coming from the domains of supply chain management and project management. Finally, the authors provide a contextualized risk taxonomy for engineering, procurement and construction (EPC) projects. Findings The identified risk portfolio deviates from generic projects significantly and shows a very high inherent risk exposure of large-scale projects. In particular, behavioral risks are identified as crucial. Additionally, a bias to considerably underestimate risks at project beginning is found. Originality/value The contextualized SCRM taxonomy offers a systematic and structured view on the key supply chain risks in EPC large-scale projects. The identified risks are considerably different in their characteristics compared to generic projects or classical SCRM approaches. The authors thus provide a new perspective on SCRM in this specific setting and complement traditional risk and project risk management techniques.

Development of a supply chain risk index for manufacturing supply chains

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aswin Alora ◽  
Mukesh K. Barua
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Emerging Market ◽  
Risk Index ◽  
Fuzzy Topsis ◽  
Extensive Literature ◽  
Manufacturing Companies ◽  
Supply Chain Risk ◽  
Content Type ◽  
Supply Chain Risks

PurposeThe purpose of this paper is to identify, classify and prioritize supply chain risks faced by Indian micro small and medium manufacturing companies and to develop a comprehensive supply chain risk index.Design/methodology/approachPrimary data has been collected from 354 Indian micro small and medium enterprises on the different supply chain risks faced by them. An extensive literature review followed by expert's interview has been carried out in order to finalize the supply chain risks. A hybrid methodology consists of AHP and Fuzzy TOPSIS is applied for the data analysis. A sensitivity analysis has been done to check the robustness and consistency of the results.FindingsResults depict the importance of supply side and financial side risks faced by manufacturing supply chains, thus adding to the ongoing academic debate on the importance of supply chain finance solutions.Research limitations/implicationsStudy is limited to the scope of an emerging market. Generalization of results needs more systematic studies around the world in different supply chains.Practical implicationsSupply chain managers can consider the benchmark framed in this study in order to identify the health of their supply chain and to efficiently employ supply chain risk management strategies.Originality/valueThe current study is novel in developing a supply chain risk index using a hybrid AHP-Fuzzy TOPSIS methodology with a comprehensive list of 26 supply chain risks under 5 categories for an MSME supply chain. To the best of the authors’ knowledge, this is the first study incorporating financial risks in the development of a supply chain risk index.

Studies on Risk Pre-Warning and Emergency Treatment of Thermal Coal Supply Chain

2011 ◽  
Vol 97-98 ◽  
pp. 648-652
Author(s):  
Jing Lu ◽  
Jie Chen ◽  
Shi Long Qi
Keyword(s):  
Risk Factors ◽  
Supply Chain ◽  
Large Scale ◽  
Decision Makers ◽  
Thermal Coal ◽  
Chain Link ◽  
Svm Model ◽  
Coal Supply ◽  
Coal Enterprises ◽  
And Control

With the influence of many factors such as policy, economy and natural environment, large-scale coal enterprises face kinds of risk. The way how to identify and control the risk is becoming the focus of them. From the angle of supply chain link, with the method of questionnaire and on-the-spot investigation, twenty kinds of risk factors are identified and determined. A set of index system of coal supply chain evaluation is established. And the SVM model is used to evaluate the harm degree of risk factors. Risk control solutions-“three-level inventory” risk pre-warning and emergency response mechanism is formulated. The index of evaluation roundly considers risk factors in every link of supply chain. The “three-degree inventory” risk pre-warning and emergency treatments mechanism can provide effective reference for decision-makers.

Analysis and Ranking of Critical Supply Chain Risk Factors in Small & Medium Scale Industries Using QFD

2015 ◽  
Vol 14 ◽  
pp. 67-75
Author(s):  
S. Nallusamy ◽  
P. Ambedkar
Keyword(s):  
Risk Factors ◽  
Supply Chain ◽  
Quality Function Deployment ◽  
Tamil Nadu ◽  
Small And Medium Enterprises ◽  
Small Scale ◽  
Supply Chain Risk ◽  
Industrial Base ◽  
Medium Scale ◽  
Medium Enterprises

The small scale sector is a symptom of India’s socio-economic development model and has met with the country’s long term expectations in terms of contribution to Gross Domestic Product (GDP), industrial base, employment and exports. This sector forms a major part of Indian industrial base. Small and Medium scale industries contribute about 10% of total GDP. The Small and Medium Scale Industries (SMSI) are supported by the government and financial institutions like Micro Small and Medium Enterprises (MSME), Tamil Nadu Industrial Investment Corporation (TIIC), State Bank of India (SBI) etc., in terms of technical and financial assistance. Even then Micro and Small Enterprises (MSE) are lagging in infrastructure, skilled labour. In order to analyse the various risk factors in SMSI, the survey was conducted in 20 small and medium scale industries who are supplying their product to many Tier 1 companies and leading automobile companies of Original Equipment Manufacturer (OEM) in India. This paper brings out most critical supply chain risk factors exist in every business processes inside and outside the Small and Medium Enterprises (SME). Quality Function Deployment (QFD) is used to prioritize supply chain risk factors and also the SMSI owners and managers are advised to focus from the highest ranking critical factors to improve their technical and financial performance.

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