scholarly journals Modeling Supply Chain Sustainability-Related Risks and Vulnerability: Insights from the Textile Sector of Pakistan

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Muhammad Hashim ◽  
Muhammad Nazam ◽  
Muhammad Zia-ur-Rehman ◽  
Muhammad Abrar ◽  
Sajjad Ahmad Baig ◽  
...  
Keyword(s):  
Risk Factors ◽  
Supply Chain ◽  
Large Scale ◽  
Risk Mitigation ◽  
Sustainable Manufacturing ◽  
Manufacturing Industries ◽  
Sustainable Supply Chain ◽  
Effect Analysis ◽  
Pareto Analysis ◽  
Textile Supply Chain

Abstract Sustainability-related risk and vulnerability management have attained significant attention from academia and industry. Manufacturing industries in developing countries such as Pakistan are under severe economic pressure and striving to boost sustainable supply chain practices for achieving business excellence. In this context, the objectives of the present research are to examine the critical supply chain risks associated with sustainable development goals, namely social, economic, and environmental factors. The failure mode and effect analysis (FMEA) technique is employed for categorizing the risk factors and Pareto analysis for highlighting the more crucial and risky factors. For this purpose, a large-scale survey was carried out in the textile industries of Pakistan to develop a risk mitigation model for sustainability-related risks and vulnerability in a textile supply chain (TSC). It captures the input expressions of experts for risk factors, namely severity (s), occurrence (o), and detection (d) for calculating the risk priority numbers (RPNs) of identified alternatives. The results depict that endogenous environmental risks categorize as the most significant for the textile manufacturing industries, and the interfaces between the various risks associated with sustainability-related are also found very high. This study would be a toolkit for the industrial managers and policy-makers for creating sustainable manufacturing culture on organizational premises.

scholarly journals An Empirical Study of Supply Chain Frangibility and Risk Management in Indian Automobile Industry

2021 ◽  
Author(s):  
Arora Ankit ◽  
Rajagopal Rajesh
Keyword(s):  
Risk Factors ◽  
Supply Chain ◽  
Automobile Industry ◽  
Lead Time ◽  
Risk Mitigation ◽  
Transportation Network ◽  
Demand Forecasting ◽  
Bullwhip Effect ◽  
Effect Analysis ◽  
Supply Chain Efficiency

Abstract The automobile sector in India is one the key segment of Indian economy as it contributes to 4% of India’s GDP and 5% of India’s Industrial production. The supply chain of any firm is generally dependent on six driving factors out of which three are functional (information, inventory, and facilities) and 3 are logistic (sourcing, pricing, and transportation). The risk causing factors in supply chains consists of various levels of sub-factors under them. Say for instance, under supply risk, the sub-factors can be poor logistics at supplier end, poor material quality etc., under demand risk, the sub-factors can be inaccurate demand forecasting, fluctuating demand, bullwhip effect, and under logistics risk, the sub-factors can be poor transportation network, shorter lead time, stock outs. Through this study, we observe to find the effect of these factors in the supply chain. We use Failure Mode and Effect Analysis (FMEA) technique to prioritize the various types of risk into zones namely high, medium and low risk factors. Also, we use the Best Worst Method (BWM), a multi-criteria decision-making technique to find out the overall weightings of different risk factors. The combination of these methods can help an organization to prioritize various risk factors and proposing a proper risk mitigation strategy leading to increase in overall supply chain efficiency and responsiveness.

Evaluation of risks in foodgrains supply chain using failure mode effect analysis and fuzzy VIKOR

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rishabh Rathore ◽  
J. J. Thakkar ◽  
J. K. Jha
Keyword(s):  
Risk Factors ◽  
Decision Making ◽  
Supply Chain ◽  
Failure Mode ◽  
Risk Mitigation ◽  
Supply Chain System ◽  
Effect Analysis ◽  
Content Type ◽  
Fuzzy Vikor ◽  
Multiple Attribute

PurposeThis paper investigates the risks involved in the Indian foodgrain supply chain (FSC) and proposes risk mitigation taxonomy to enable decision making.Design/methodology/approachThis paper used failure mode and effect analysis (FMEA) for risk estimation. In the traditional FMEA, risk priority number (RPN) is evaluated by multiplying the probability of occurrence, severity and detection. Because of some drawbacks of the traditional FMEA, instead of calculating RPN, this paper prioritizes the FSC risk factors using fuzzy VIKOR. VIKOR is a multiple attribute decision-making technique which aims to rank FSC risk factors with respect to criteria.FindingsThe findings indicate that “technological risk” has a higher impact on the FSC, followed by natural disaster, communication failure, non-availability of procurement centers, malfunctioning in PDS and inadequate storage facility. Sensitivity analysis is performed to check the robustness of the results.Practical implicationsThe outcomes of the study can help in deriving detailed risk mitigation strategy and risk mitigation taxonomy for the improved resilience of FSC.Originality/valueSpecifically, this research investigates the risks for foodgrains supply chain system for a developing country such as India, an area which has received limited attention in the present literature.

scholarly journals An Exploration of the Critical Risk Factors in Sustainable Telecom Services: An Analysis of Indian Telecom Industries

2021 ◽  
Vol 13 (2) ◽  
pp. 445
Author(s):  
Wen-Kuo Chen ◽  
Venkateswarlu Nalluri ◽  
Suresh Ma ◽  
Mei-Min Lin ◽  
Ching-Torng Lin
Keyword(s):  
Risk Factors ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Service Providers ◽  
Telecommunications Industry ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
The Impact ◽  
The Relationship

Different sources of risk factors can occur in sustainable supply chain management due to its complex nature. The telecommunication service firm cannot implement multiple improvement practices altogether to overcome the risk factors with limited resources. The industries should evaluate the relationship between risk factors and explore the determinants of improvement measures. The purpose of the present study is to identify and analyze critical risk factors (CRFs) for enhancing sustainable supply chain management practices in the Indian telecommunication industry using interpretive structural modelling (ISM). Risk factors are identified through a literature survey, and then with the help of experts, nine CRFs are identified using a fuzzy Delphi method (FDM). The relationship among these CRFs has been analyzed using ISM, and the driving and the dependence power of those CRFs are analyzed. Results indicate that both “government policies (laws and regulations)” and “the impact of rapid change in technology” are independent or key factors that affect the sustainability of the telecommunications supply chain. In addition, results provide significant managerial implications, including enhanced sustainability, and the government should build justice, fairness, open laws, certainties, and regulations to prevent risk in the telecommunications industry supply chain; service providers should monitor the rapidly evolving technologies and focus on technical learning and organizational capacity development to overcome the impact of technological changes. The contribution of this study is using a novel approach to establish a hierarchical structural model for an effective understanding of CRFs relationships and to explore decisive risk factors that can help telecom service providers to better plan and design effective improvement strategies to enhance sustainability supply chain management.

Structural Decisions of Sustainable Manufacturing Strategy with Fuzzy Analytic Network Process (FANP)

2015 ◽  
Vol 6 (2) ◽  
pp. 12-27 ◽  
Author(s):  
Lanndon Ocampo ◽  
Eppie Clark ◽  
Kae Vines Tanudtanud
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Sustainable Manufacturing ◽  
Analytic Network Process ◽  
Linguistic Variables ◽  
Sustainable Supply Chain ◽  
Manufacturing Strategy ◽  
Network Process ◽  
Fuzzy Analytic Network Process ◽  
Relevant Component

This paper proposes the use of fuzzy analytic network process (FANP) in identifying the content of the structural decisions of manufacturing strategy that integrates sustainability and the classical manufacturing strategy framework, considering firm size as a relevant component in decision-making. Fuzzy set theory elucidates judgment through linguistic variables while analytic network process (ANP) handles the complexity of the decision-making brought about by subjectivity and relationships among components in the decision problem. A group of experts in manufacturing was tasked to elicit judgment in pairwise comparisons following in the methodology of the ANP. Results also show that structural decisions that support sustainability integrate backward supply chain. This supports existing approaches particularly on sustainable supply chain and green purchasing. The contribution of this work lies in adopting a multi-criteria decision-making (MCDM) framework that identifies the content of the structural decisions of a sustainable manufacturing strategy.

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.

Strategic Barriers and Operational Risks in Sustainable Supply Chain Management in the Indian Context

2019 ◽  
pp. 238-259
Author(s):  
R. Sridharan ◽  
E. N. Anilkumar ◽  
C. R. Vishnu
Keyword(s):  
Risk Factors ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Sustainable Supply Chain ◽  
Sustainable Practices ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
Sustainable Supply Chains ◽  
Operational Risks ◽  
Indian Manufacturing Sector

Research on sustainable supply chain management (SSCM) has attracted increased attention in the recent years all over the world. Unlike an ordinary supply chain, sustainable supply chains confront two major hurdles in the planning as well as in the operational stage, namely barriers and risks. Barriers are usually associated with technical, economic, and marketing infeasibilities, whereas risks induce disruptions and uncertainties. These factors demotivate the organizations from adopting sustainable practices in supply chain operations. The chapter consolidates the significant barriers and risk factors influential in the current Indian business environment. The analysis is based on the expert survey conducted in the South Indian manufacturing sector. Furthermore, the above barriers are ranked utilizing the grey relational analysis method in an intuitionistic fuzzy setting. Finally, the effects of the risk factors induced by sustainable practices are also discussed to facilitate selection of proactive strategies for the success of sustainable business in India.

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 of risk factors in sustainable supply chain management in an emerging economy of leather industry

2021 ◽  
Vol 283 ◽  
pp. 124641 ◽  
Author(s):  
Md. Abdul Moktadir ◽  
Ashish Dwivedi ◽  
Nadia Sultana Khan ◽  
Sanjoy Kumar Paul ◽  
Sharfuddin Ahmed Khan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Emerging Economy ◽  
Sustainable Supply Chain ◽  
Leather Industry ◽  
Chain Management ◽  
Sustainable Supply Chain Management
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