Developing a Model of Equipment Maintenance and Repair Process at Service Repair Company Using Agent-based Approach

Пантелеев, В. В.; Камаев, В. А.; Kizim, A.V.

doi:10.1016/j.protcy.2014.10.121

Cited by 11 publications

(4 citation statements)

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“…where elements, considering TFNs, are obtained as follows (Eqs. 8 and 9): In (8) and 9, ' I is the subset of criteria to be maximized, ' ' I is the subset of criteria to be minimized, whereas * j c and  j a are computed as follows (Eqs. 10 and 11):…”

Section: Numerical Values Verbal Pairwise Comparisonsmentioning

confidence: 99%

“…Obviously, maintenance activities must be integrated and scheduled within the life cycle of the system under investigation and need to take into consideration the reliability features required by the system itself. Panteleev et al [8] emphasize the role of the maintenance and repair organization (MRO) and highlight the importance of implementing and planning periodic maintenance actions on machines to positively impact their life cycle. The importance of maintenance scheduling is also emphasized by Certa et al [9] who deal with the problem of selecting the elements of a repairable and stochastically deteriorating multi-component system to be replaced during each scheduled and periodic system stop within a finite optimization cycle.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

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A combined multi-criteria approach to support FMECA analyses: A real-world case

Carpitella

Certa

Izquierdo

et al. 2018

Reliability Engineering & System Safety

166

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The paper proposes an approach that combines reliability analyses and multi-criteria decision methods to optimize maintenance activities of complex systems. A failure mode, effects, and criticality analysis (FMECA) is initially performed and the fuzzy TOPSIS (FTOPSIS) method is then applied to rank previously identified failure modes. For prioritization, failure modes are assessed against three evaluation criteria that differ from those traditionally involved in risk priority number (RPN) computation (i.e. severity, occurrence and detection). Two criteria refer to the maintenance management reflecting the operational time taken by the maintenance activity performed after the occurrence of a specific fault, and the way such an action is executed. The third criterion reflects the classical frequency of the occurrence of faults. To further develop previous research, the analytic hierarchy process (AHP) is herein applied to weight evaluation criteria and a group of experts is involved with aspects associated with the considered criteria. The approach is applied to a real-world case study, showing that the obtained results represent a significant driver in planning maintenance activities. To test the influence of criteria weights on ranking results, a sensitivity analysis is carried out by varying the vector of criteria weights obtained from the group decision process.

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Section: Numerical Values Verbal Pairwise Comparisonsmentioning

confidence: 99%

Section: Introduction and Literature Reviewmentioning

confidence: 99%

A combined multi-criteria approach to support FMECA analyses: A real-world case

Carpitella

Certa

Izquierdo

et al. 2018

Reliability Engineering & System Safety

166

View full text Add to dashboard Cite

show abstract

“…Feng et al (2014) described a multi-agent based fleet maintenance personnel configuration method in order to solve the mission oriented aircraft fleet maintenance personnel configuration problem, and the proposed method could deduce optimal maintenance strategies. Panteleev et al (2014) developed a model of equipment maintenance and repair process of a service repair company based on agent-based approach, increasing the efficiency of using the available maintenance funds, and reducing the load on specialists. Most published papers in terms of maintenance modeling based on the agent-based modeling technique are developed for optimization of maintenance/repair processes, while not considering the problem of modeling maintenance decisions, component failure processes, and system availability.…”

Section: Introductionmentioning

confidence: 99%

Agent-based modeling of availability for complex multiple units systems

Wang

et al. 2017

JQME

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Purpose The purpose of this paper is to propose an availability modeling method of complex multiple units system (CMUS) based on the multi-agent technique. Design/methodology/approach Based on the multi-agent technique, this paper describes the availability model structure for CMUS and develops agent-based models of components, maintenance policies, maintenance tools, maintenance fields, and maintenance staff, as well as the communication method among the different agents. On the basis of the agent-based availability modeling theory, the availability simulation scheme of CMUS is given using MATLAB. Thus, the availability modeling theory of CMUS and its simulation method are developed. To demonstrate the applicability of the proposed availability modeling method, a numerical example is given. Findings The proposed agent-based modeling method is applicable to availability modeling of CMUS, including the modeling of component failure, maintenance tools/fields/staff, maintenance policy, and structural/economic dependence among components. Practical implications As a bottom-top, modular, expandable, and reusable modeling theory, the agent-based modeling method might be useful for availability modeling of different CMUSs in reality. Originality/value The multi-agent technique is introduced into availability modeling of multi-component systems in this paper. Thus, it is possible to model failure of many components, maintenance policies, maintenance tools, maintenance fields, and maintenance staff together for availability analysis of complex systems of equipment.

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“…Maintenance activities must be integrated and scheduled within the life cycle of the system under investigation, and take into consideration the reliability features required by the system itself. Panteleev et al (2014) The simultaneous minimization of both the total expected maintenance cost and system unavailability is ensured by means of a mathematical programming-based approach. In (Certa et al, 2012), the authors formulate a constrained mathematical model to determine both the optimal number of periodic inspections within a finite time frame and the system elements to be replaced during each scheduled inspection.…”

Section: Organisation Of Maintenance Actionsmentioning

confidence: 99%

Multi-criteria decision methods to support the maintenance management of complex systems

Carpitella¹

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A thesis under a co-tutelle agreement between UNIPA and UPV within their respective programmes of doctorates in "PROF. ALFREDO PERIS (UPV) THE TUTORS PROF. ANTONELLA CERTA (UNIPA) PROF. JULIO BENÍTEZ (UPV) PROF. JOAQUÍN IZQUIERDO (UPV)To my father, my mother and Nino The rock upon which I stand ACKNOWLEDGMENTS Three years ago I undertook a long and difficult, but beautiful journey, called a double PhD. It has been so challenging and undoubtedly the most important personal achievement of my whole life so far. I compared myself with something I thought was much bigger than me. Actually, in order to accomplish it successfully, I just needed to fully involve my heart. I did it without saving my strengths. What I have learnt during my doctorate will remain with me forever. Not only did I further develop my professional skills and my attitude to scientific research, but above all I made real my passion for discovery. Discovering the world, meeting new people, appreciating diversity, considering various manners of working and living, learning new languages, facing my weaknesses and getting over them. All of the things listed above unquestionably influenced my personal development. And personal growth is an endless process. It goes without saying that this doctoral thesis is the result of all my efforts and love. I dedicate it… To my father and my mother, the most important people in my life. I wish I could be even half as good person and engineer as they are. All that I am I owe to my parents. To my brother Nino, who is for me the best example of courage and who has had right answers to my doubts since we were just children. To my grandma Wilma, a great woman to whom I owe most of my personality. To all my family, especially to my grandparents Maria and Mario, and to my cousins/sisters Paola, Luisa and Carla. To Antonella and Joaquín, my "academic parents" and continuous sources of inspiration, who have transmitted me all their passion for this incredible job and taken care of my personal and professional growth in every possible way. They made my horizon larger and pushed me to continuously challenge myself. I consider them as a true family, more life-mentors rather than professors, and I will be always aware of the fundamental part they play in my life. To Julio, who has been indispensable to carry out this thesis and carefully followed all the stages of its development, with endless competence and kindness. It has been a true privilege to work with such a source of knowledge as Julio is. To Professor Giacomo Galante, who first believed in me when I was an undergraduate student and, after having supervised my master thesis, introduced me to the University world. To Professor Mario Enea, who kindly and fully supported me during the whole duration of my doctorate studies. To Manu and Idel, who treat me as I was their little sister, giving me a lot of attention and dedicating a lot of their priceless time (days, weeks, months) to teach me loads of things. They guided me across unforgettable and thought-provoking internat...

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Developing a Model of Equipment Maintenance and Repair Process at Service Repair Company Using Agent-based Approach

Cited by 11 publications

References 1 publication

A combined multi-criteria approach to support FMECA analyses: A real-world case

A combined multi-criteria approach to support FMECA analyses: A real-world case

Agent-based modeling of availability for complex multiple units systems

Multi-criteria decision methods to support the maintenance management of complex systems

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