Considering human error in optimizing production and corrective and preventive maintenance policies for manufacturing systems

Emami-Mehrgani, Behnam; Neumann, Patrick; Nadeau, Sylvie; Bazrafshan, Majid

doi:10.1016/j.apm.2015.08.013

Cited by 31 publications

(15 citation statements)

References 46 publications

(57 reference statements)

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“…As noted in previous studies [24] [27], LOTO should be included in system planning as a whole rather than treated as an add-on to maintenance. This According to CNESST reports for the years 1999 to 2003, machinery was involved in more than 63,000 accidents and more than 100 deaths [65].…”

Section: Discussionmentioning

confidence: 96%

See 1 more Smart Citation

A Mathematical Model: A Flexible Manufacturing System, Prone to Error, Making Two Products Each with Stochastic Demand Schedules

Diop¹,

Nadeau²,

Emami-Mehrgani³

2019

AJIBM

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Lockout/tagout (LOTO) is practiced in manufacturing facilities to ensure safety during machinery maintenance procedures. In flexible manufacturing systems, human error (HE) is a major source of accidents and process deviations. Special measures are needed to minimize occupational risk and increase operational efficiency. In this article, we study a production planning problem involving a failure-prone production system meeting two types of demand and we discuss the associated decision-making process. The aim is to develop an optimal, robust and flexible control strategy that facilitates the integration of LOTO into corrective maintenance (CM) and ultimately into production. The influence of HE on flexible manufacturing systems (FMS) is viewed in terms of production and maintenance planning. The frequency of machine repair depends largely on HE. The intrinsic costs of shortage, inventory and CM are optimized over an unbounded planning horizon. Analytical formalism is combined with discrete event simulation, as well as design of experiments (DOE) and a genetic algorithm (GAs) to identify the optimal planning of production and CM with mandatory LOTO. An illustration and sensitivity analysis are proposed to express, in quantitative terms, the usefulness and efficiency of the proposed approach.

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Section: Discussionmentioning

confidence: 96%

“…2) taking LOTO into account in maintenance activities [24] [25] and 3) taking human factors and human error (HE) into account [26] [27]. The number of studies in this third category is small.…”

Section: Literature Reviewmentioning

confidence: 99%

A Mathematical Model: A Flexible Manufacturing System, Prone to Error, Making Two Products Each with Stochastic Demand Schedules

Diop¹,

Nadeau²,

Emami-Mehrgani³

2019

AJIBM

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“…In the first dimensions of Human Factors, concerning on aviation personnel and their interactions with hardware such as correct equipment, tools and parts available, is first in the weight order of the Hardware dimension. Confucius stated that it is necessary to have effective tools, equipment, and proper aircraft parts to do a good job [9]. However, in many first-line maintenance units, such as line maintenance or maintenance stations, aviation personnel cannot use or obtain the appropriate tools for their job due to equipment or parts shortages, unfinished checkups, or workplace limitations.…”

Section: Discussionmentioning

confidence: 99%

The contributions of human factors on human error in Malaysia aviation maintenance industries

Padil

Said

Azizan

2018

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. Aviation maintenance is a multitasking activity in which individuals perform varied tasks under constant pressure to meet deadlines as well as challenging work conditions. These situational characteristics combined with human factors can lead to various types of human related errors. The primary objective of this research is to develop a structural relationship model that incorporates human factors, organizational factors, and their impact on human errors in aviation maintenance. Towards that end, a questionnaire was developed which was administered to Malaysian aviation maintenance professionals. Structural Equation Modelling (SEM) approach was used in this study utilizing AMOS software. Results showed that there were a significant relationship of human factors on human errors and were tested in the model. Human factors had a partial effect on organizational factors while organizational factors had a direct and positive impact on human errors. It was also revealed that organizational factors contributed to human errors when coupled with human factors construct. This study has contributed to the advancement of knowledge on human factors effecting safety and has provided guidelines for improving human factors performance relating to aviation maintenance activities and could be used as a reference for improving safety performance in the Malaysian aviation maintenance companies.

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“…These types of maintenance, applied in the manufacturing environments, require a detailed optimisation of the production planning and control in order to avoid a potential slow down or shut down of the production lines, poor operational activities, potential risk of injury of the workers, flaws in the raw material flow, which will increase the cost of work-inprocess. Proper planning should include cost-based, availability-based and reliability-based approaches, in order to proper schedule the number of interventions and the optimum maintenance interval [13], [14], [15]. Condition-Based Maintenance (CBM) is an industrial program that puts forward strategic maintenance actions upon data acquired through Condition Monitoring (CM), that is related to the acquisition and processing of information and data that indicate the state of a machine over time [8].…”

Section: Introductionmentioning

confidence: 99%

Condition-Based Maintenance Model for the Optimization of Smart Manufacturing Processes

et al. 2019

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The research focused on the elaboration of the Condition-Based Maintenance (CBM) for the optimization of Smart Manufacturing Processes (SMP) using three types of condition monitoring (CM). The paper presents some considerations regarding the Smart Manufacturing Processes (SMP), especially focused on the Additive Manufacturing (AM) process, by Fused Deposition Modelling (FDM) technology and the way in which the CM and mathematical and probabilistic models can be used, for achieving CBM. The experiments focused on testing three different types of CM: vibration (by vibrometers), sound (by sound level meters) and temperature (by thermal camera and infrared thermography). The experiments and results were analysed, data were processed and a probabilistic model was designed, based on statistical methods, using features/key indicators and their thresholds values. Furthermore, a specific model based on Bayesian network was developed, for achieving CBM of the SMP, specifically to the AM/FDM process. This technique and approach can represent a successful integration of a large number of data monitoring sets and complex modelling and analysis capabilities which can lead in the end to an optimisation of the SMP.

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Considering human error in optimizing production and corrective and preventive maintenance policies for manufacturing systems

Cited by 31 publications

References 46 publications

A Mathematical Model: A Flexible Manufacturing System, Prone to Error, Making Two Products Each with Stochastic Demand Schedules

A Mathematical Model: A Flexible Manufacturing System, Prone to Error, Making Two Products Each with Stochastic Demand Schedules

The contributions of human factors on human error in Malaysia aviation maintenance industries

Condition-Based Maintenance Model for the Optimization of Smart Manufacturing Processes

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