Fuzzy Hybrid FMEA for Risk Assessment in Service Industry

Kabadayı, Nihan

doi:10.4018/978-1-7998-7564-2.ch003

Cited by 5 publications

(2 citation statements)

References 28 publications

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“…Analyzed credit risk of electricity retailers using Intuitionistic fuzzy AHP. Kabadayi (2021) Assessment of risk in service sector using Intuitionistic fuzzy AHP. Alimohammadlou and Khoshsepehr (2021) Investigation of sustainable development of organization using Intuitionistic fuzzy AHP.…”

Section: Yu Et Al (2021)mentioning

confidence: 99%

Enhancing the performance of Indian micro, small and medium enterprises by implementing supply chain finance: challenges emerging from COVID-19 pandemic

Sahoo

Thakur

2022

BIJ

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PurposeThe already scarce financial resources coupled with the current COVID-19 pandemic have created the worst scenario for Indian micro, small and medium enterprises (MSMEs). The application of supply chain finance (SCF) solutions to MSMEs can enhance the performance and growth of the sector. But, the implementation of SCF solutions faces various obstacles which restrict the MSMEs' ability to meet their financial requirements. The purpose of this paper is to explore and prioritize the various important barriers hindering SCF application in Indian MSMEs.Design/methodology/approachLiterature on SCF and MSMEs are critically reviewed and barriers affecting the SCF application in Indian MSMEs are scrutinized with the consultation of the experts. The present study applies intuitionistic fuzzy-analytic hierarchy process (IF-AHP) methodology to prioritize the identified barriers and thereafter, the sensitivity analysis is also done to observe the identified barriers under different situations.FindingsThe results of the study have revealed that poor cash flow management and working capital management disruption are acting as the most prioritized barriers of SCF. The external factor of cultural challenges has been prioritized as the minimum-influence factor that has least negative influence on the operations of SCF in MSMEs.Practical implicationsThe present study bears an important practical and managerial implication to solve real world problems of financial constraints of MSMEs. The managers should emphasize upon the importance smooth flow of cash and working capital management across the supply chains by which better SCF solution can be implemented in MSMEs.Originality/valueThe study conducted is an effort to address the barriers of SCF in Indian MSMEs during the COVID-19 pandemic. The implementation of IF-AHP and sensitivity analysis would help managers and policymakers to comprehend and resolve the prioritized barriers and sub-barriers of SCF in the MSMEs.

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Section: Yu Et Al (2021)mentioning

confidence: 99%

Enhancing the performance of Indian micro, small and medium enterprises by implementing supply chain finance: challenges emerging from COVID-19 pandemic

Sahoo

Thakur

2022

BIJ

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“…Besides, all the processes tact time at the production line must be balanced in order to eliminate production wastes such as waiting time, over production, defects and movement wastes [3]. Various lean and six sigma tools could be selected as guidelines for actions taken either by reducing the process variations (improve six sigma level) or by eliminating the production wastes from the production line [4] [5]. Line Balancing Chart (LBC) is one of the best methods that could be applied for analysing the processes' tact time at the production line.…”

Section: Introductionmentioning

confidence: 99%

Development of Variable-Line Balancing Chart by Risk Assessment Using Monte Carlo Simulation

Ismail,

Ishak,

Yahaya

et al. 2023

J. Phys.: Conf. Ser.

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Line Balancing Chart is one of the most used lean tools for determining cycle time (CT) and lead time (LT) in the production line processes flow, from raw material input until finished product output. However, for traditional Line Balancing Chart, only the average (mean) CT and LT are considered which causing inconsistent performance of the actual production line throughput rate (productivity). In this study, Variable-Line Balancing Chart (V-LBC) is introduced by considering the dynamic CT and LT in a form of (Minimum, Most Likely (mean), Maximum) for each process involved in the production line. The risk assessment for Value-added (VAA) and non-value added (NVAA) events in the flow are also considered for this V-LBC. A Monte Carlo simulation by using @Risk software is utilized to simulate each process CT distribution capability. As a result, each process in the V-LBC could be represented in horizontal and vertical time variables that involve a variable CT (VAA and NVAA) and risk assessment using Risk Assessment-Failure Mode and Effect Analysis (RA-FMEA) approach. The actual root cause led to the process variation also could be identified more accurately from the V-LBC. Hence the correct action could be taken in order to reduce the variation which indirectly increase the production line productivity.

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A Monte Carlo simulation for a variable-value stream mapping (V-VSM) and risk assessment - Failure mode and effect analysis (RA-FMEA); A case study

Ismail¹,

Hussain²

2023

Advances in Material Science and Manufacturing Engineering

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Fuzzy Hybrid FMEA for Risk Assessment in Service Industry

Cited by 5 publications

References 28 publications

Enhancing the performance of Indian micro, small and medium enterprises by implementing supply chain finance: challenges emerging from COVID-19 pandemic

Enhancing the performance of Indian micro, small and medium enterprises by implementing supply chain finance: challenges emerging from COVID-19 pandemic

Development of Variable-Line Balancing Chart by Risk Assessment Using Monte Carlo Simulation

A Monte Carlo simulation for a variable-value stream mapping (V-VSM) and risk assessment - Failure mode and effect analysis (RA-FMEA); A case study

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