Human Error Assessment and Management in Port Operations using Fuzzy AHP

2006 ◽  
Vol 40 (1) ◽  
pp. 73-86 ◽  
Author(s):  
S. T. Ung ◽  
V. Williams ◽  
H. S. Chen ◽  
S. Bonsall ◽  
J. Wang
Keyword(s):  
Human Error ◽  
Significant Contribution ◽  
Fuzzy Ahp ◽  
Test Case ◽  
Relative Importance ◽  
Error Assessment ◽  
Cargo Handling ◽  
Marine Accidents ◽  
Error Risk ◽  
Hierarchy Process

Human error makes a significant contribution to marine accidents. There has been a growing commitment to attempt to tackle this problem. In this study, following a brief discussion of Human Reliability Assessment (HRA), a new method of human error assessment and management using fuzzy set theory and analytical hierarchy process is proposed. In assessing the human error risk using the proposed method, the steps in each mission are compared to each other in terms of the likelihood, failure consequence probability, and severity criteria to determine the relative importance and overall risk priority. The method is demonstrated using a test case of an oil cargo handling process in port, and is effective in avoiding the criticism raised when using traditional HRA techniques as well as evaluating the effectiveness of the risk control options (RCOs) identified.

A fuzzy AHP and TOPSIS methodology to evaluate 3PL in a supply chain

2012 ◽  
Vol 7 (3) ◽  
pp. 287-303 ◽  
Author(s):  
Pravin Kumar ◽  
Rajesh K. Singh
Keyword(s):  
Supply Chain ◽  
Service Providers ◽  
Fuzzy Ahp ◽  
Integrated Approach ◽  
Third Party ◽  
Preference Ranking ◽  
Relative Importance ◽  
Content Type ◽  
Logistics Service Providers ◽  
Hierarchy Process

PurposeThe purpose of this paper is to provide an insight into the use of an integrated approach of fuzzy analytical hierarchy process (fuzzy AHP) and TOPSIS in evaluating the performance of global third party logistics service providers for effective supply chain management.Design/methodology/approachIn this study, the integration of fuzzy AHP with TOPSIS is proposed in determining the relative importance (weight) of criteria and then ranking of 3PLs.FindingsFindings show that the logistics cost and service quality are two most important criteria for performance rating of 3PLs. Deciding the relative importance of various criteria for 3PLs evaluation is a complex task. The superiority of one criterion over the other varies from person to person and firm to firm. Therefore, to capture the variability in decision fuzzy extended AHP is very useful tool. Finally, the preference raking of alternatives are found using TOPSIS.Research limitations/implicationsFuzzy AHP is a complex methodology and requires more numerical calculations than the traditional AHP and hence it increases the effort. But in this paper single stage fuzzy AHP is used to simplify the process. Fuzzy AHP is integrated with TOPSIS for preference ranking of 3PL, which provides a good methodology to rank 3PLs.Originality/valueThere is a lack of research in the literature to deal directly with the uncertainty of human decisions in evaluating the relative importance of multiple criteria. Therefore, fuzzy AHP is an appropriate methodology to find the relative importance of the criteria to rank the 3PLs using TOPSIS.

Intuitionistic Fuzzy AHP and its Application in Evaluation of Ecological Architecture

2012 ◽  
Vol 518-523 ◽  
pp. 4466-4472 ◽  
Author(s):  
Hao Zhang ◽  
Wei Xia Li ◽  
Cheng Yi Zhang
Keyword(s):  
Fuzzy Ahp ◽  
Relative Importance ◽  
Analytic Hierarchy ◽  
Additive Consistency ◽  
Intuitionistic Fuzzy ◽  
Judgement Matrix ◽  
The Matrix ◽  
Addition And Subtraction ◽  
Definition Of ◽  
Hierarchy Process

In this paper, the definition of additive consistent intuitionistic fuzzy complementary judgement matrix (ACIFCJM) was given; The addition and subtraction algorithms of intuitionistic fuzzy value representing the relative importance degree in the matrix were given, then the definition of the scale transition matrix of intuitionistic fuzzy complementary judgement matrix (IFCJM) was given; The additive consistency recursive iterative adjustment algorithm about the IFCJM was given, then priority vectors formula of IFCJM was introduced; At last, the steps of intuitionistic fuzzy analytic hierarchy process (IFAHP) were introduced, then the method was applied in actual examples, and its effectiveness was verified.

Human Error Assessment and Reduction Technique for Reducing the Number of Marine Accidents in Indonesia

2018 ◽  
Vol 874 ◽  
pp. 199-206 ◽  
Author(s):  
Ludfi Pratiwi Bowo ◽  
Masao Furusho
Keyword(s):  
Human Factors ◽  
Nuclear Power ◽  
Qualitative Method ◽  
Human Error ◽  
Reduction Technique ◽  
Error Assessment ◽  
Human Reliability Analysis ◽  
Marine Industry ◽  
Marine Accidents

Human factors is playing an important role in every accident, particularly marine accidents. Hence, a lot of researches were conducted to analyze the human factors involvement in the accidents. Since the development of marine industry shows progressively increasing nowadays, especially in Indonesia, as Indonesia vision to be a global maritime axis of the world for marine industry, the awareness of safety life at sea has to be increase as well. Human reliability analysis (HRA) consist of many methodologies to analyze the accidents, the basic steps of HRA is qualitative method and quantitative method, one of the HRA methodology is Human Error Assessment and Reduction Technique (HEART) methodology which has been established in 1982 to assess nuclear power plant. HEART methodology is applied in this study to analyze the cause of marine accidents by human factors. The aims of this study are to know the main cause of accidents by human factors, to increase the awareness of safety at sea especially, and furthermore to improve the quality of ergonomics at sea. There are 93 EPC which discovered in this study for analyzing marine accidents in Indonesia.

scholarly journals Dynamic Human Error Assessment in Emergency Using Fuzzy Bayesian CREAM

2020 ◽  
Vol 20 (1) ◽  
pp. e00468-e00468 ◽  
Author(s):  
Marzieh Abbassinia ◽  
Omid Kalatpour ◽  
Majid Motamedzade ◽  
Alireza Soltanian ◽  
Iraj Mohammadfam
Keyword(s):  
Petrochemical Industry ◽  
Human Error ◽  
Fuzzy Ahp ◽  
Cross Sectional Study ◽  
Control Mode ◽  
Error Assessment ◽  
Storage Unit ◽  
Cross Sectional ◽  
Emergency Condition ◽  
Emergency Scenarios

Background: Human error is one of the major causes of accidents in the petrochemical industry. Under critical situation, human error is affected by complex factors. Managing such a situation is important to prevent losses and injury. This study aimed to develop a dynamic model of human error assessment in emergencies in the petrochemical industry. Study design: A cross-sectional study. Methods: Fuzzy Bayesian network was used to improve the capabilities of the method for determining the control mode. Fuzzy-AHP-TOPSIS method was also used to prioritize emergency scenarios and human error assessment was applied for the most important emergency condition. Results: Fire in a chemical storage unit was recognized as the most important emergency condition. Common Performance Conditions (CPCs) were determined based on the opinions of a panel of 30 experts and specialists and 7 CPCs were selected for emergencies; then, based on the results of AHP method the relative weights were determined. Finally, membership functions, inputs, and outputs of fuzzy sets, CPC values in 8 emergency response tasks, and the probability of control modes were determined using Bayesian Cognitive Reliability and Error Analysis Method (CREAM) method. Conclusion: This method could be applied to overcome the weaknesses of traditional methods, provide a repeatable method for human error assessment, and manage human error in an emergency.

Human Error Assessment and Decision Making for Fishing Vessels Using Analytical Hierarchy Processing

2001 ◽  
Author(s):  
A. Pillay ◽  
J. Wang
Keyword(s):  
Decision Making ◽  
Human Error ◽  
Test Case ◽  
Error Assessment ◽  
Ahp Method ◽  
Human Errors ◽  
Risk Levels ◽  
Fishing Vessels ◽  
Operational Phase ◽  
Machine Interaction

Abstract An approach to integrate human error assessment and decision-making using the Analytical Hierarchy Processing (AHP) method is proposed. The aim of this approach is to reduce the probability of occurrence and severity of human error during the operational phase of a fishing vessel. It utilises AHP theory to rank the impacts of human error and further integrates the available control options (to minimise these errors) within the analysis. The result obtained from the analysis reflects the most favoured control option that will address all the possible human errors within the system to a satisfactory level. A test case, which considers the shooting operation of a beam trawler, is used to demonstrate the proposed approach. Each step involved in the shooting operation is assessed for its vulnerability to human error with respect to the equipment being operated and this captures the operator-machine interaction. The AHP method integrates the evaluation of solutions to reduce risk levels within the human error assessment and this reduces the complexity of the analysis that is present in traditional methods.

A Novel Process Model for Marine Accident Analysis by using Generic Fuzzy-AHP Algorithm

2014 ◽  
Vol 68 (1) ◽  
pp. 162-183 ◽  
Author(s):  
Bekir Sahin ◽  
Yunus Emre Senol
Keyword(s):  
Process Model ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Accident Analysis ◽  
Human Judgment ◽  
The Past ◽  
Judgment Process ◽  
Marine Accidents ◽  
Hierarchy Process

Marine accident analysis is a sophisticated and complex official interpretation that requires a professional and fair judgment. For accidents such as a collision, contact and other incidents in the maritime field, the judgment mechanism of the courts depends on the decision process of the field experts. Field experts define the “Fraction Defectives” (FDs) of the vessels for the intended case based on the existing evidence and navigational specifications. However, evaluation of human judgment can be limited and problematic in analysing many aspects of a case. In this paper, a pairwise comparison method is used to simplify and clarify the judgment process. We aim to assess marine accidents in a stepwise approach that is inaccurately carried out in a holistic perspective by the field experts. A real accident that occurred in the past is simulated in front of the field experts. After conducting an expert consultation, FDs are re-calculated to compare both the regular judgment and the results in our suggested Generic Fuzzy Analytical Hierarchy Process (GF-AHP) approach.

Penilaian Kinerja Dosen Dengan Menggunakan Metode AHP Studi Kasus di STIE Ahmad Dahlan Jakarta

Liquidity ◽  
2018 ◽  
Vol 2 (1) ◽  
pp. 100-109
Author(s):  
Ellya Sestri
Keyword(s):  
Decision Making ◽  
Performance Appraisal ◽  
Technological Progress ◽  
Pairwise Comparison ◽  
Relative Importance ◽  
Faculty Performance ◽  
Business World ◽  
The Face ◽  
Hierarchy Process ◽  
Rule Out

An increasingly rapid technological progress in the era of globalization in the business world, so do not rule out the possibility that a decision-making is something that is very vital in determining the decisions to be taken in the face of competitive business world. Decision making can be influenced by several aspects, this can affect the speed of decision making by the decision maker in which decisions must be quick and accurate. Lecturer Performance Assessment Using the Analytical Hierarchy Process is a decision support system that aims to assess faculty performance according to certain criteria. This system of faculty performance appraisal criteria to map a hierarchy, where each hierarchy will be performed pairwise comparison, the pairwise comparisons between criteria, so to get a comparison of the relative importance of criteria with each other. The results of this comparison is then analyzed to obtain the priority of each criterion. Once completed and performed an assessment of alternative options to be compared and calculated to obtain the best alternatives according to established criteria.

A Study on Marine Accidents involving Fishing Vessel Caused by Human Error

2019 ◽  
Vol 31 (4) ◽  
pp. 205-236
Author(s):  
Myeong -Kyu Lee ◽  
Koji Yoshimoto
Keyword(s):  
Human Error ◽  
Fishing Vessel ◽  
Marine Accidents

On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria

2016 ◽  
Vol 2 (3) ◽  
pp. 54
Author(s):  
G. Marimuthu ◽  
G. Ramesh
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Decision Models ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Comparison Model ◽  
Hierarchy Process

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.

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