Development of opportunistic maintenance policy towards optimal maintenance system (OPTOMS) model

2019 ◽  
Vol 26 (1) ◽  
pp. 129-165
Author(s):  
Hasnida Ab-Samat ◽  
Shahrul Kamaruddin
Keyword(s):  
Support System ◽  
Model Development ◽  
Maintenance Policy ◽  
Opportunistic Maintenance ◽  
Effect Analysis ◽  
Content Type ◽  
Maintenance System ◽  
Machine Reliability ◽  
Optimal Maintenance

Purpose Opportunistic maintenance (OM) policy is a prospective maintenance approach that instigates for a more effective and optimized system. The purpose of this paper is to provide the steps and methods used in model development processes for the application of the OM policy. Design/methodology/approach Dubbed as opportunistic principle toward optimal maintenance system (OPTOMS) for OM policy toward optimal maintenance system, the model is devised as a decision support system model and contains five phases. The motivation and focus of the model resolve around the need for a practical framework or model of maintenance policy for the application in an industry. In this paper, the OPTOMS model was verified and validated to ensure that the model is applicable in the industry and robust as a support system in decision making for the optimal maintenance system. Findings From the verification steps conducted in a case study company, it was found that the developed model incorporated simple but practical tools like check sheet, failure mode and effect analysis (FMEA), control chart that has been commonly used in the industry. Practical implications This paper provides the general explanations of the developed model and tools used for each phase in implementing OM to achieve an optimal maintenance system. Based on a case study conducted in a semiconductor company, the OPTOMS model can align and prepare the company in increasing machine reliability by reducing machine downtime. Originality/value The novelty of this paper is based on the in-depth discussion of all phases and steps in the model that emphasize on how the model will become practical theories in conducting an OM policy in a company. The proposed methods and tools for data collection and analysis are practical and commonly used in the industry. The framework is designed for practical application in the industry. The users would be from the Maintenance and Production Department.

Maintenance policy selection model – a case study in the palm oil industry

2014 ◽  
Vol 25 (3) ◽  
pp. 415-435 ◽  
Author(s):  
Siew-Hong Ding ◽  
Shahrul Kamaruddin ◽  
Ishak Abdul Azid
Keyword(s):  
Palm Oil ◽  
Selection Process ◽  
Oil Industry ◽  
Second Phase ◽  
Maintenance Policy ◽  
Content Type ◽  
Policy Selection ◽  
Optimal Maintenance ◽  
Optimal Maintenance Policy

Purpose – An optimal maintenance policy is key to the improvement of the availability and reliability of a system at an acceptable level without a significant increase in investment. However, the selection process is a complicated task because it requires in-depth knowledge on maintenance policies and on the technical requirements of maintenance. The difficulties and complexity of the selection process arise from the combination of conflicting maintenance constraints such as available spares, size of workforce, and maintenance skills. The paper aims to discuss these issues. Design/methodology/approach – The proposed maintenance policy selection (MPS) model is separated into three major phases. The first phase identifies the critical system (CS) based on failure frequency. The failure mechanism in the CS is then analyzed by using a failure mode and effect analysis in the second phase. In the third phase, a multi-criteria decision making method, called the technique for order of preference by similarity to ideal solution, is adopted to identify an optimal maintenance policy that can minimize the failures. Findings – Through a case study, preventive maintenance was selected as the optimal maintenance policy for the reduction of system failures. The results obtained from the case study not only provide evidence of the feasibility and practicability of the developed model, but also test the acceptability and rationale of the developed model from the industry perspective. Valuable knowledge and experience from employees were extracted and utilized through the proposed model to rank the optimal maintenance policy based on the capability to reduce failure. Originality/value – The practicality of the MPS model is justified through an implementation in the palm oil industry. The application of the MPS model can also be extended to other manufacturing industries.

Opportunistic maintenance (OM) as a new advancement in maintenance approaches

2014 ◽  
Vol 20 (2) ◽  
pp. 98-121 ◽  
Author(s):  
Hasnida Ab-Samat ◽  
Shahrul Kamaruddin
Keyword(s):  
Current Trend ◽  
Replacement Policy ◽  
Practical Significance ◽  
Clear Understanding ◽  
Maintenance Policy ◽  
Opportunistic Maintenance ◽  
Content Type ◽  
Research Areas ◽  
Optimal Maintenance ◽  
Optimal Maintenance Policy

Purpose – This paper reviews the literature on opportunistic maintenance (OM) as new advance maintenance approach and policy. The purpose of this paper is to conceptually identify common principle and thereby provide absolute definition, concept and characteristics of this policy. Design/methodology/approach – A conceptual analysis was conducted on various literatures to clarify a number of principle and concepts as a method for understanding information on OM. The analysis involves the process of separating the compound terms used in the literatures into a few parts, analyse them and then recombining them to have more clear understanding of the policy. Findings – The paper discussed the maintenance approach, genealogy, principle, concept and applications of OM both in numerical analysis and real industry. OM policy is developed based on combination of age replacement policy and block replacement policy and in practical; OM is applied as the combination of corrective maintenance which is applied when any failure occurred, with preventive maintenance (PM) – a planned and scheduled maintenance approach to prevent failure to happen. Any machine shutdown or stoppages due to failure is the “opportunity” to conduct PM even though it is not as planned. The characterization of OM was provided in order to present its theoretical novelty for researchers and practical significance for industries. Practical implications – To date, there is no publication that reviews the OM in-depth and provides clear understanding on the topic. Therefore, this paper aims to show lineage of OM and the current trend in researches. This discussion will pave the way of new research areas on this optimal maintenance policy. Clear definition and principle of OM provided in this paper will trigger interest in its practicality as well as aid industries to understand and conduct OM in operation plant. Originality/value – This paper discussed the available literature about OM in various perspectives and scopes for further understanding of the topic by maintenance management professionals and researchers. Therefore, OM can be widely studied and applied in real industry as it is an effective and optimal maintenance policy.

Imperfect maintenance model for estimating aircraft fleet availability

2017 ◽  
Vol 89 (2) ◽  
pp. 338-346 ◽  
Author(s):  
Aleksandar Knezevic ◽  
Ljubisa Vasov ◽  
Slavisa Vlacic ◽  
Cedomir Kostic
Keyword(s):  
Intermediate Level ◽  
Imperfect Maintenance ◽  
Maintenance Policy ◽  
Content Type ◽  
Reliability Parameters ◽  
Optimal Maintenance ◽  
Maintenance Policies ◽  
Optimal Maintenance Policy ◽  
Maintenance Model

Purpose The purpose of this paper is to define conditions under which improved availability of fleet of G-4 jet trainers is obtained, and optimization of intermediate-level maintenance through imperfect maintenance model application. This research has been conducted based on available knowledge, and experience gained by performing intermediate-level maintenance of Serbian Air Force aircrafts. Design/methodology/approach Analysis of the data collected from daily maintenance reports, and the analysis of maintenance technology and organization, was performed. Based on research results, a reliability study was performed. Implementation of imperfect maintenance with its models of maintenance policies (especially a quasi-renewal process and its treating of reliability and optimal maintenance) was proposed to define new maintenance parameters so that the greater level of availability could be achieved. Findings The proposed methodology can potentially be applied as a simple tool to estimate the present maintenance parameters and to quickly point out some deficiencies in the analyzed maintenance organization. Validation of this process was done by conducting a reliability case study of G-4 jet trainer fleet, and numerical computations of optimal maintenance policy. Research limitations/implications The methodology of the availability estimation when reliability parameters were not tracked by the maintenance organization, and optimization of intermediate-level maintenance, has so far been applied on G-4 jet trainers. Moreover, it can be potentially applied to other aircraft types. Originality/value Availability estimation and proposed optimization of intermediate maintenance is based on a survey of data for three years of aircraft fleet maintenance. It enables greater operational readiness (due to a military rationale) with possible cost reduction as a consequence but not as a goal.

The role of maintenance in improving company's competitiveness and profitability

2014 ◽  
Vol 25 (4) ◽  
pp. 441-456 ◽  
Author(s):  
Damjan Maletič ◽  
Matjaž Maletič ◽  
Basim Al-Najjar ◽  
Boštjan Gomišček
Keyword(s):  
Gap Analysis ◽  
Research Problem ◽  
Maintenance Policy ◽  
Content Type ◽  
Potential Benefits ◽  
Points Of View ◽  
Potential Improvement ◽  
Practical Implications

Purpose – The purpose of this paper is to examine the role of maintenance in improving company's competitiveness and profitability. In the first part the paper aims to discuss the potential improvement areas from the company perspective. Second part of this paper examines maintenance impact on company's business. Design/methodology/approach – An empirical case study was utilized aiming to provide an understanding of the role of maintenance in improving company's business. The empirical data for this study were collected from a Slovenian textile company. A gap analysis was used in order to address the research problem and to identify potential improvement areas. Findings – Based on the gap analysis, the results suggest that from respondents’ points of view, maintenance practices related to condition-based maintenance approach represent the highest opportunity for improvement. The most notable empirical results of the case study showed that around 3 per cent of additional profit could be generated at weaving machine, especially if all unplanned stoppages and loss of quality due to decrease in the productivity would be prevented. Practical implications – This paper demonstrates to managers the potential benefits of maintenance policy in terms of productivity, quality and profitability. In this regard, this paper builds on a premise that company can gain higher performance benefits using more effective maintenance policy. Originality/value – The proposed conceptual model contributes to the existing literature by showing the interactions between maintenance and company's competitiveness and profitability. Empirical findings of this study therefore, acknowledge maintenance's potential of increasing the overall profit. In addition this study advances prior studies by utilizing a gap analysis which is rare in this type of research.

Condition-based opportunistic maintenance policy for a series–parallel hybrid system with economic dependence

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aiping Jiang ◽  
Zhenni Huang ◽  
Jiahui Xu ◽  
Xuemin Xu
Keyword(s):  
Hybrid Systems ◽  
Hybrid System ◽  
Maintenance Policy ◽  
Economic Dependence ◽  
Opportunistic Maintenance ◽  
Content Type ◽  
Cost Rate ◽  
Parallel Hybrid ◽  
In Series ◽  
Redundant Structure

PurposeThe purpose of this paper is to propose a condition-based opportunistic maintenance policy considering economic dependence for a series–parallel hybrid system with a K-out-of-N redundant structure, where a single component in series is denoted as subsystem1, and K-out-of-N redundant structure is denoted as subsystem2.Design/methodology/approachBased on the theory of Residual Useful Life (RUL), inspection points are determined, and then different maintenance actions are adopted in the purpose of minimizing the cost rate. Both perfect and imperfect maintenance actions are carried out for subsystem1. More significantly, regarding economic dependence, condition-based opportunistic maintenance is designed for the series–parallel hybrid system: preemptive maintenance for subsystem1, and both preemptive and postponed maintenance for subsystem2.FindingsThe sensitivity analysis indicates that the proposed policy outperforms two classical maintenance policies, incurring the lowest total cost rate under the context of both heterogeneous and quasi-homogeneous K-out-of-N subsystems.Practical implicationsThis model can be applied in series–parallel systems with redundant structures that are widely used in power transmission systems in electric power plants, manufacturing systems in textile factories and sewerage systems. Considering inconvenience and high cost incurred in the inspection of hybrid systems, this model helps production managers better maintain these systems.Originality/valueIn maintenance literature, much attention has been received in repairing strategies on hybrid systems with economic dependence considering preemptive maintenance. Limited work has considered postponed maintenance. However, this paper uses both condition-based preemptive and postponed maintenance on the issue of economic dependence bringing opportunities for grouping maintenance activities for a series–parallel hybrid system.

Interval type-2 fuzzy inference-based failure mode and effect analysis model in a group decision-making setting

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
İlker Gölcük
Keyword(s):  
Failure Modes ◽  
Fuzzy Inference ◽  
Real Life ◽  
Effect Analysis ◽  
Inference System ◽  
Content Type ◽  
Proposed Model ◽  
Interval Type

PurposeThis paper proposes an integrated IT2F-FMEA model under a group decision-making setting. In risk assessment models, experts' evaluations are often aggregated beforehand, and necessary computations are performed, which in turn, may cause a loss of information and valuable individual opinions. The proposed integrated IT2F-FMEA model aims to calculate risk priority numbers from the experts' evaluations and then fuse experts' judgments using a novel integrated model.Design/methodology/approachThis paper presents a novel failure mode and effect analysis (FMEA) model by integrating the fuzzy inference system, best-worst method (BWM) and weighted aggregated sum-product assessment (WASPAS) methods under interval type-2 fuzzy (IT2F) environment. The proposed FMEA approach utilizes the Mamdani-type IT2F inference system to calculate risk priority numbers. The individual FMEA results are combined by using integrated IT2F-BWM and IT2F-WASPAS methods.FindingsThe proposed model is implemented in a real-life case study in the furniture industry. According to the case study, fifteen failure modes are considered, and the proposed integrated method is used to prioritize the failure modes.Originality/valueMamdani-type singleton IT2F inference model is employed in the FMEA. Additionally, the proposed model allows experts to construct their membership functions and fuzzy rules to capitalize on the experience and knowledge of the experts. The proposed group FMEA model aggregates experts' judgments by using IT2F-BWM and IT2F-WASPAS methods. The proposed model is implemented in a real-life case study in the furniture company.

scholarly journals A decision support system to assure high-performance maintenance service

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Giuseppe Aiello ◽  
Julio Benítez ◽  
Silvia Carpitella ◽  
Antonella Certa ◽  
Mario Enea ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Preventive Maintenance ◽  
Programming Model ◽  
Laboratory Method ◽  
Maintenance Management ◽  
Maintenance Policy ◽  
Content Type ◽  
Blockchain Technology

PurposeThis study aims to propose a decision support system (DSS) for maintenance management of a service system, namely, a street cleaning service vehicle. Referring to the information flow management, the blockchain technology is integrated in the proposed DSS to assure data transparency and security.Design/methodology/approachThe DSS is designed to efficiently handle the data acquired by the network of sensors installed on selected system components and to support the maintenance management. The DSS supports the decision makers to select a subset of indicators (KPIs) by means of the DEcision-MAaking Trial and Evaluation Laboratory method and to monitor the efficiency of performed preventive maintenance actions by using the mathematical model.FindingsThe proposed maintenance model allows real-time decisions on interventions on each component based on the number of alerts given by sensors and taking into account the annual cost budget constraint.Research limitations/implicationsThe present paper aims to highlight the implications of the blockchain technology in the maintenance field, in particular to manage maintenance actions’ data related to service systems.Practical implicationsThe proposed approach represents a support in planning, executing and monitoring interventions by assuring the security of the managed data through a blockchain database. The implications regard the monitoring of the efficiency of preventive maintenance actions on the analysed components.Originality/valueA combined approach based on a multi-criteria decision method and a novel mathematical programming model is herein proposed to provide a DSS supporting the management of predictive maintenance policy.

University budgeting: internal versus external transparency

2020 ◽  
Vol 17 (4) ◽  
pp. 589-617
Author(s):  
Maria C. Conesa Carril ◽  
Nieves Gómez Aguilar ◽  
Manuel Larrán Jorge
Keyword(s):  
Key Management ◽  
Model Development ◽  
Management Tool ◽  
Budget Process ◽  
The Novel ◽  
Content Type ◽  
Documentary Analysis ◽  
The University ◽  
Budgeting Process

Purpose The analysis intends to clarify whether higher education institutions place as much value on internal transparency as on external transparency. This study aims to analyze the university budgeting process as a reflection of internal transparency. It also aims to identify the weaknesses of the budgeting process regarding transparency in order to improve decision-making. Design/methodology/approach A case study that applies mixed methods – documentary analysis, observations and interviews – has been conducted. To study internal transparency, the model of three levels of transparency of Biondi and Lapsley (2014) has been applied to the budgeting process of a university. Then, the results have been compared to the external transparency of this institution. Findings While external transparency is achieved, internal transparency in the budgeting process is far from optimal in the case of study. An improvement in transparency of the budget process can promote the engagement of stakeholders in the process and achieve better governance. Research limitations/implications The general inductive approach is not as strong as other approaches in the area of theory or model development. However, it does provide a simple approach for deriving findings linked to this research’s questions. Practical implications Trust issues and external accountability appear to be more relevant than internal transparency for universities. However, improving the three levels of transparency along the budgeting process could motivate collegiate members to reinforce accountability, as it requires them to effectively communicate their actions and decisions to their represented. Originality/value This paper seeks to situate transparency as an attribute of university governance, contributing to the scarce literature on transparency, internal and external, in the university. The study compares the approach of this university to external transparency – which relates to accountability – with internal transparency – a concept that links to corporate governance. This study uses the novel lens of Biondi and Lapsley model (2014) to study internal transparency, focussing on university budgeting as a key management tool.

Developing building information models (BIM) for building handover, operation and maintenance

2019 ◽  
Vol 17 (3) ◽  
pp. 301-316 ◽  
Author(s):  
Marjan Sadeghi ◽  
Jonathan Weston Elliott ◽  
Nick Porro ◽  
Kelly Strong
Keyword(s):  
Information Exchange ◽  
Model Development ◽  
Information Model ◽  
Content Type ◽  
Operation And Maintenance ◽  
Information Models ◽  
Building Information ◽  
Essential Input ◽  
Construction Operation

PurposeThis paper aims to represent the results of a case study to establish a building information model (BIM)-enabled workflow to capture and retrieve facility information to deliver integrated handover deliverables.Design/methodology/approachThe Building Handover Information Model (BHIM) framework proposed herein is contextualized given the Construction Operation Information Exchange (COBie) and the level of development schema. The process uses Autodesk Revit as the primary BIM-authoring tool and Dynamo as an add-in for extending Revit’s parametric functionality, BHIM validation, information retrieval and documentation in generating operation and maintenance (O&M) deliverables in the end-user requested format.FindingsGiven the criticality of semantics for model elements in the BHIM and for appropriate interoperability in BIM collaboration, each discipline should establish model development and exchange protocols that define the elements, geometrical and non-geometrical information requirements and acceptable software applications early in the design phase. In this case study, five information categories (location, specifications, warranty, maintenance instructions and Construction Specifications Institute MasterFormat division) were identified as critical for model elements in the BHIM for handover purposes.Originality/valueDesign- and construction-purposed BIM is a standard platform in collaborative architecture, engineering and construction practice, and the models are available for many recently constructed facilities. However, interoperability issues drastically restrict implementation of these models in building information handover and O&M. This study provides essential input regarding BIM exchange protocols and collaborative BIM libraries for handover purposes in collaborative BIM development.

Capture and evaluation of innovative ideas in early stages of product development

2019 ◽  
Vol 31 (6) ◽  
pp. 908-927 ◽  
Author(s):  
Peter Madzík
Keyword(s):  
Product Development ◽  
Innovation Process ◽  
Kano Model ◽  
Effect Analysis ◽  
Content Type ◽  
Factors Affecting ◽  
Early Stages ◽  
Structured Analysis ◽  
Idea Evaluation

Purpose The purpose of this paper is to propose a structured procedure for the capture and evaluation of innovative ideas in the early stages of product development. The procedure is designed to take account of internal and external factors affecting the value of innovative ideas. Design/methodology/approach The proposed procedure is based on divergent and convergent approaches to innovation. Ideas are generated and captured using targeted questions and subsequently evaluated using modifications of the Kano model and failure mode and effect analysis (FMEA). Idea evaluation considers four criteria – delight, originality, market share potential and simplicity – which are used to compute an “idea priority number”. Findings A case study looking at innovations in swimming goggles verified the validity of the proposed procedure. The procedure also supports fact-based decision making and applies a structured perspective to the innovation process that makes it easier to manage. Research limitations/implications The case study made use of a pilot survey in which 32 customers participated. Although the case study was only intended as a demonstration of the method’s use, such a sample size could lead to unreliable results in certain cases. Originality/value Applications of standard or expanded FMEA do not add value to a product because the main purpose of the approach is to prevent failure. The proposed inversion of FMEA logic combined with customer view via the Kano model offers a method for the structured analysis of product innovations. No similar approach to the evaluation of innovations has so far appeared in the literature.

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