An advanced human error assessment approach: HEART and AV‐DEMATEL

Abstract

Human error assessment and reduction technique (HEART) is one of the most commonly used human error assessment approaches which computes human error probability (HEP) to prioritize errors related to human actions. HEART is a powerful tool considering error producing conditions (EPCs) which increase the HEP for generalized task versions named as generic task types (GTTs). HEART can give a solution including prevention of human-related errors (HREs) and reduction of the HREs' impacts via implementing additional controls. However, it has many shortcomings for real-life error assessments. In this context, this study aims to improve effective usage of HEART through an advanced version of decision-making trial and evaluation laboratory (AV-DEMATEL). The reason to perform AV-DEMATEL is to show the complex effect relations between main tasks (MTs), subtasks (STs), and EPCs in a process. For this aim, an integrated effect relation matrix is proposed for DEMATEL and importance weights of MTs, STs, and EPCs are computed based on this matrix. In addition, not only HREs are considered but also machine-related errors (MREs) are taken into account to make error assessment for the process. The proposed approach also provides flexibility to categorize STs in different GTTs. Finally, a new term "process error probability" including HREs' probabilities and MREs' probabilities is recommended to compute error probability in an integrated manner for the process. To utilize the proposed approach, an example of a steam boiler daily control process is given.

The Integration of Human Factors to Warehousing and Manual Order Picking Operations

“…Origin and Applied Domain-HEART was initially proposed based on data collected in a nuclear power plant by Williams, (1988) to evaluate HEP based on human performance associated with PIFs. This method has been applied in both manufacturing (chemical, aviation, and railway) (Can and Delice, 2020;Casamirra et al, 2009;Pratiwi et al, 2019) and medical sectors (Aalipour et al, 2016;Can and Delice, 2020;Kirwan, 1997;Lyons et al, 2004;Kumar, Rajakarunakaran, and Prabhu, 2017).…”

“…Reported Validation-Studies have reported this model was validated by Kirwan, (1997) at the same UK nuclear power plant that the model was proposed. Different studies were validated the HEART model by trying in different industries such as maintenance of the production process (Aalipour et al, 2016), steam boiler control process (Can and Delice, 2020), railway maintenance , and in the experimental nuclear physic facility (Giardina et al, 2019).…”

Implementation of Heart and Dematel Integration to Steam Boiler Working Process

“…Can [5] and Delice [6] first proposed integrated effect matrix for DEMATEL to advance HEART for steam boiler working process. Can and Delice [22] suggested HEART and advanced version of DEMATEL (AV-DEMATEL) integration to evaluate machine related errors and human related errors in a steam boiler working process. They also advanced a new aggregating operator to compute PEP.…”

Human Error Probability Determination in Blasting Process of Ore Mine Using a Hybrid of HEART and Best-Worst Methods

“…The human error assessment and reduction technique (HEART) is one of the most widespread techniques because it is easy to learn, reliable, and has a straightforward mechanism but has a moderate accuracy [ 17 , 18 , 24 ]. This technique is flexible and has been used to estimate the HEP in many industries, including railways [ 18 , 19 ], shipping [ 20 , 21 ], manufacturing [ 22 ], and information [ 23 ]. The HEP obtained by the HERAT has three parts including, Generic Task Type (GTT), Error-Producing Conditions (EPC), and Assessed Proportion of Affect (APOA).…”

“…Many studies tried to improve the certainty of the HERAT technique. Fuzzy-HEART [ [24] , [25] , [26] ], a hybrid HEART based on AHP [ 20 ], Fuzzy analytic network process [ 27 ], HEART and AV-DEMATEL [ 22 ], HEART combined with improved analytic hierarchy process [ 28 ]. The classical fuzzy approach does not consider the self-confidence of experts and has an uncertainty in the extracted human opinions [ 29 , 30 ].…”