Human error identification and risk prioritization in overhead crane operations using HTA, SHERPA and fuzzy VIKOR method

Mandal, Saptarshi; Singh, Karmveer; Behera, R.K.; Sahu, Santosh Kumar; Raj, Navneet; Maiti, J.

doi:10.1016/j.eswa.2015.05.033

Cited by 76 publications

(56 citation statements)

References 48 publications

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“…Table 13, presented the VIKOR papers addressed within Risk and Financial management based on author (s) and year, technique and approach, type of study, application area and scope and study purpose. Liu et al [204] used the fuzzy VIKOR and TOPSIS for evaluation of risks based on FMEA, Shen and Tzeng [205] combined VIKOR, ANP and DEMATEL for improving financial performance, Lee and Yang [206] combined the VIKOR and ANP for selection of convertible bonds, Peng et al [207] combined the VIKOR, TOPSIS and PROMETHEE for financial risk prediction, Kou et al [208] ranked and selected popular clustering algorithms in analysis of financial risk, Mandal et al [209] utilized the fuzzy VIKOR for identifying and ranking of human error and risk in overhead crane operations, Ginevičius and Podvezko [210] applied VIKOR to assess the financial problems in construction enterprises. There are14 past papers used the VIKOR technique in fields of Risk and Financial management fields which presented in Table 13.…”

Section: Risk and Financial Managementmentioning

confidence: 99%

VIKOR Technique: A Systematic Review of the State of the Art Literature on Methodologies and Applications

Mardani

Zavadskas

Govindan³

et al. 2016

Sustainability

284

137

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Abstract:The main objective of this paper is to present a systematic review of the VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) method in several application areas such as sustainability and renewable energy. This study reviewed a total of 176 papers, published in 2004 to 2015, from 83 high-ranking journals; most of which were related to Operational Research, Management Sciences, decision making, sustainability and renewable energy and were extracted from the "Web of Science and Scopus" databases. Papers were classified into 15 main application areas. Furthermore, papers were categorized based on the nationalities of authors, dates of publications, techniques and methods, type of studies, the names of the journals and studies purposes. Theresults of this study indicated that more papers on VIKOR technique were published in 2013 than in any other year. In addition, 13 papers were published about sustainability and renewable energy fields. Furthermore, VIKOR and fuzzy VIKOR methods, had the first rank in use. Additionally, the Journal of Expert Systems with Applications was the most significant journal in this study, with 27 publications on the topic. Finally, Taiwan had the first rank from 22 nationalities which used VIKOR technique.

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Section: Risk and Financial Managementmentioning

confidence: 99%

VIKOR Technique: A Systematic Review of the State of the Art Literature on Methodologies and Applications

Mardani

Zavadskas

Govindan³

et al. 2016

Sustainability

284

137

View full text Add to dashboard Cite

show abstract

“…Fuzzy aggregation has been applied into the subjective weight calculation of each criterion and the Shannon entropy concept is used for the objective weight calculation [46]. In addition, the FVIKOR method has contributed to the calculation of the ranking priority of each alternative candidate based on the maximum group utility concept and the minimum individual regret value [53]. The hybrid MCDM method integrating the above-mentioned techniques has been depicted as illustrated in Figure 3.…”

Section: The Hybrid Mcdm Methods Integrating Fuzzy Aggregation Shannomentioning

confidence: 99%

ELV Recycling Service Provider Selection Using the Hybrid MCDM Method: A Case Application in China

et al. 2016

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Abstract:With the rapid depletion of natural resources and undesired environmental changes globally, more interest has been shown in the research of green supply chain practices, including end-of-life vehicle (ELV) recycling. The ELV recycling is mandatory for auto-manufacturers by legislation for the purpose of minimizing potential environmental damages. The purpose of the present research is to determine the best choice of ELV recycling service provider by employing an integrating hybrid multi-criteria decision making (MCDM) method. In this research, economic, environmental and social factors are taken into consideration. The linguistic variables and trapezoidal fuzzy numbers (TFNs) are applied into this evaluation to deal with the vague and qualitative information. With the combined weight calculation of criteria based on fuzzy aggregation and Shannon Entropy techniques, the normative multi-criteria optimization technique (FVIKOR method) is applied to explore the best solution. An application was performed based on the proposed hybrid MCDM method, and sensitivity analysis was conducted on different decision making scenarios. The present study provides a decision-making approach on ELV recycling business selection under sustainability and green philosophy with high robustness and easy implementation.

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“…At the moment, there are more than a dozen HRA methods for HEP in different systems, such as THERP (10), ASEP (11,12), ATHEANA (13), SHERPA (14), CREAM (15), SPAR-H (16), and new methods are being developed. Today, various HRA methods have been utilized in multiple engineering applications (17)(18)(19)(20)(21)(22). For example, Mandal et al (18) identified probability of human error through overhead crane operation tasks using SHERPA methodology.…”

Section: Introductionmentioning

confidence: 99%

Human Reliability Analysis (HRA) Using Standardized Plant Analysis Risk-Human (SPAR-H) and Bayesian Network (BN) for Pipeline Inspection Gauges (PIG) Operation: A Case Study in a Gas Transmission Plant

et al. 2019

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Background: Pigging operation is one of the maintenance activities that is used to check pipeline functionality in operational conditions using a PIG device and high pressure of liquid/gas, which is potentially hazardous. Objectives: The present study aimed at customizing SPAR-H methodology for the pigging operation using Bayesian networks (BNs). It also aimed at identifying and analyzing human errors in pigging operation in a gas transmission company. Methods: The current article was composed of two main steps. In the first step, the SPAR-H BN model was developed using expertelicited prior probabilities of pigging operation applied to Bayesian network. In this step, CPTs of PSF nodes are constructed using prior probabilities, which are achieved from expert opinion. The CPT of error node is developed using coding process of SPAR-H formula in a simulation node. In the second step, a descriptive study was carried out to estimate the probability of human errors in pigging operation in a gas transmission plant in Iran. First, hierarchical task analysis (HTA) was conducted by walking through the pigging operation and interviews with workers. Next, the SPAR-H BN model was utilized for estimation of human error probability. Results: The developed model was tested on the pigging operation subtasks. In the considered case study, the mean probability of human error was estimated as 0.184. The highest probability of human error was related to "opening the kicker valve for enhancing pressure" subtask. Conclusions: The BNs were helpful to adapt the SPAR-H methodology to the pigging operation using dedicated prior probabilities. Beside that, the probabilities of human error can be updated taking into account the more realistic operational and environmental conditions.

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Human error identification and risk prioritization in overhead crane operations using HTA, SHERPA and fuzzy VIKOR method

Cited by 76 publications

References 48 publications

VIKOR Technique: A Systematic Review of the State of the Art Literature on Methodologies and Applications

VIKOR Technique: A Systematic Review of the State of the Art Literature on Methodologies and Applications

ELV Recycling Service Provider Selection Using the Hybrid MCDM Method: A Case Application in China

Human Reliability Analysis (HRA) Using Standardized Plant Analysis Risk-Human (SPAR-H) and Bayesian Network (BN) for Pipeline Inspection Gauges (PIG) Operation: A Case Study in a Gas Transmission Plant

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