A Framework to Determine the Effectiveness of Maintenance Strategies Lean Thinking Approach

The purpose of this paper is to provide a framework that can identify and evaluate the effectiveness of a given maintenance strategy and to rank components of maintenance system. The framework is developed using DEMATEL method on maintenance strategy as a guideline. To gain a richer understanding of the framework, a questionnaire is constructed and answered by experts. Then the DEMATEL method is applied to analyze the importance of criteria and the casual relations among the criteria are constructed. The scope of the paper is limited to performance measurement of maintenance strategies. It is found that the framework is applicable and useful for the strategic management of the maintenance function. It is observed that the influencing and preferred infrastructures for designing Learning and Training are three components, that is, optimal maintenance, CMMS, and RCM which are interdependent on each other and are the fundamental components to realize the designed goals of maintenance process. This paper provides an overview of research and developments in the measurement of maintenance performance. Many tools and techniques have been developed in other fields. However, the applicability of those tools to maintenance function has never been tried. In that respect this topic is novel. It helps in managing maintenance more effectively.

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COMPARATIVE STUDY OF DIFFERENT MAINTENANCE STRATEGIES

Collection of scientific works of the Military Institute of Kyiv National Taras Shevchenko University ◽

10.17721/2519-481x/2020/68-02 ◽

2020 ◽

pp. 14-22

Author(s):

I.V. Tolok ◽

G.V. Banzak ◽

E.S. Lenkov ◽

L.M. Vozikova

Keyword(s):

Technical Condition ◽

Cost Structure ◽

Maintenance Strategy ◽

Optimal Parameters ◽

Maintenance Strategies ◽

Reliability Indicators ◽

Wear And Tear ◽

Optimal Maintenance ◽

The Cost ◽

Maintenance Process

A characteristic feature of complex technical objects for special purposes is the presence in their composition of a large number (tens, hundreds of thousands) of various types component parts, which have different levels of reliability, different patterns of their wear and tear processes. This feature requires a more subtle approach to the organization and planning of maintenance in course of their operation. The problem is that in the development of such facilities, all issues related to maintainability and maintenance should be addressed already at the early stages of facility design. If you do not provide in advance the necessary hardware and software for the built-in monitoring of technical condition (TC) of the object, do not develop and "build" the maintenance technology into the object, then it will not be possible to realize in the future a possible gain in the reliability of the object due to maintenance. Since all these issues must be resolved at the stage of object creation (when the object does not yet exist), mathematical models of the maintenance process are needed, with the help of which it would be possible to calculate the possible gain in the level of reliability the facility due to maintenance, to estimate the cost costs required for this. Then, on the basis of such calculations, make a decision on the need for maintenance for this type of objects and, if such a decision is made, develop the structure of the maintenance system, choose the most acceptable maintenance strategy, and determine its optimal parameters. The article shows that the optimal parameters of various maintenance strategies significantly depend on both the reliability and cost structure of the facility and specified requirements for the facility's reliability . The higher the specified value , the more serviced items should be included in the optimal maintenance strategy. It has also been proven that the effectiveness of various maintenance strategies depends significantly on the reliability and cost structure of object. If the distribution of cost restored (including serviced) elements is closely correlated with the distribution of their reliability indicators, difference in effectiveness of different maintenance strategies is reduced. This is clearly seen in the example of Test-2 object, for which the least reliable elements are also the most expensive.

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Study on in-Service Bridge LCC Decision Model Based on Maintenance Management System

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.255-260.3933 ◽

2011 ◽

Vol 255-260 ◽

pp. 3933-3937

Author(s):

Yu Meng Wu ◽

Jun Chang

Keyword(s):

Life Cycle ◽

Life Cycle Cost ◽

Decision Model ◽

Management Strategies ◽

Maintenance Management ◽

Management Decision ◽

Maintenance Strategy ◽

Maintenance Strategies ◽

Bridge Maintenance ◽

Optimal Maintenance

In this paper, decision-making tree and Markov process are used to select maintenance strategies of in-service bridges with the minimum LCC (life-cycle cost). Other costs in life cycle are considered comprehensively when establish the model to find the optimal maintenance strategy. Finally, an example is given to verify the efficiency of the model. The research methodology can provide effective support to bridge maintenance management decision-maker for making management strategies.

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The role of maintenance strategy in metastatic colorectal cancer (mCRC): A systematic review and meta-analysis.

Journal of Clinical Oncology ◽

10.1200/jco.2019.37.15_suppl.3524 ◽

2019 ◽

Vol 37 (15_suppl) ◽

pp. 3524-3524

Author(s):

Mohamad Bassam Sonbol ◽

Luke Mountjoy ◽

Belal Firwana ◽

Diana Almader-Douglas ◽

Kabir Mody ◽

...

Keyword(s):

Maintenance Therapy ◽

Meta Analysis ◽

Random Effects Model ◽

Maintenance Strategy ◽

Maintenance Strategies ◽

Randomized Controlled ◽

Induction Regimen ◽

Optimal Maintenance ◽

Indirect Comparisons

3524 Background: In mCRC, induction combination chemotherapy with targeted agents is considered the mainstay of treatment. This is typically followed by maintenance therapy vs. observation which had been examined in various trials. However, it remains unclear how best optimize maintenance strategy. We aim to evaluate comparative effectiveness to support best maintenance strategy. Methods: We searched PubMed, Embase, and Cochrane CENTRAL for randomized controlled trials (RCT) evaluating different maintenance strategies in previously untreated mCRC patients (pts): observation (obs), bevacizumab (bev), fluoropyrimidine (FP), FP+bev, or continuing induction regimen (CTX). Outcomes of interest included OS and PFS. The overall effect was pooled using the DerSimonian random effects model. We conducted network meta-analysis based on White’s multivariate meta-regression to pool evidence from direct and indirect comparisons. Agents were ranked using surface under the cumulative ranking (SUCRA) probabilities. Higher SUCRA scores correspond to greater efficacy. Results: Twelve trials at low risk of bias (5540 pts) were included. Network meta-analysis shows no benefit of CTX over obs in terms of PFS (HR 0.7; 95% CI 0.46-1.09) and OS (HR 0.95; 95% CI 0.85-1.07). Compared to obs, maintenance therapy shows PFS benefit (HR 0.58; 95% CI 0.43-0.77) with only a trend in OS (HR 0.91; 95% CI 0.83-1.009). All maintenance strategies (FP, FP+bev, and bev) show significant improvement in PFS over obs. On SUCRA analysis, maintenance treatment (FP or FP+bev) has the highest likelihood of achieving better PFS (67.1% for FP and 99.8% for FP+bev) and OS (81.3% for FP and 73.2% for FP+bev). Conclusions: A maintenance strategy with at least a FP with or without the addition of bevacizumab is preferred. However, given the lack of a clear OS benefit, obs is an acceptable alternative. Optimal maintenance strategies should be dependent on factors including patient preferences, cost and toxicities. [Table: see text]

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Proactive maintenance strategy for harbour crane operation improvement

Robotica ◽

10.1017/s0263574702004824 ◽

2003 ◽

Vol 21 (3) ◽

pp. 313-324 ◽

Cited By ~ 14

Author(s):

B. Iung ◽

G. Morel ◽

J.B. Léger

Keyword(s):

Enterprise System ◽

Maintenance Strategy ◽

Modeling Framework ◽

Maintenance System ◽

Intelligent Maintenance ◽

Quay Cranes ◽

Technical Issues ◽

Maintenance Process ◽

Intelligent Maintenance System ◽

Proactive Maintenance

Quay cranes are particular transportation devices for which operation's safety and CRAMP parameters (Cost, Reliability, Availability, Maintainability, and Productivity) should be fulfilled with regard to a harbor maintenance strategy. The maintenance process is first considered within a holistic modeling framework in order to cope with the current practices of treating strategic, operational and engineering maintenance issues independently without taking into account their interactions within an entire Enterprise System. Proactive maintenance is then highlighted as a new model aiming to globally optimize the components operation parameters throughout three interacting prognosis, diagnosis and monitoring processes. Technical issues related to Intelligent Maintenance System are finally proposed in order to support proactive maintenance operations at the enterprise field level and applied to quay cranes in a particular site within the frame of the European Eureka ‘Robcrane' project.

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A Framework of Knowledge Based System for Integrated Maintenance Strategy and Operation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.564.619 ◽

2014 ◽

Vol 564 ◽

pp. 619-624 ◽

Cited By ~ 4

Author(s):

M. Milana ◽

Mohammed Khurshid Khan ◽

J. Eduardo Munive

Keyword(s):

Manufacturing Process ◽

Logistic Function ◽

Maintenance Strategy ◽

Business Partner ◽

Knowledge Based System ◽

Knowledge Based ◽

Optimal Maintenance ◽

Maintenance Decisions ◽

Maintenance Performance

The dependency of maintenance as a manufacturing logistic function has made the considerations and constrains of maintenance decisions complex in nature. The rapid growth of automation in manufacturing process has also increased the role of maintenance as an inseparable business partner. As consequence, maintenance strategy and operations should always be aligned with business and manufacturing perspectives within a holistic and integrated manner to achieve competitive advantage. This paper presents a framework of Knowledge Based System for Integrated Maintenance Strategy and Operation (KBIMSO) linked to business and manufacturing perspectives. The KBIMSO framework has novelty of simultaneously highlighting the elements of business, manufacturing and maintenance perspectives which contribute to direct maintenance performance and can be used by the companies to evaluate their existing maintenance system in relation to business competitive priorities and manufacturing process requirements in order to gain optimal maintenance performance as the competitive driver.

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The Effects of Individual Differences and Training on Paced and Unpaced Aircraft Visual Inspection Performance

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/154193120004401214 ◽

2000 ◽

Vol 44 (12) ◽

pp. 2-491-2-494 ◽

Cited By ~ 1

Author(s):

Stacey Chen ◽

Anand Gramopadhye ◽

Brian Melloy

Keyword(s):

Individual Differences ◽

Visual Inspection ◽

Air Transportation ◽

Large Individual ◽

Critical Step ◽

Maintenance System ◽

Maintenance Process ◽

Human Inspection ◽

Inspection Performance ◽

And Training

The aircraft maintenance system is a complex one with many interrelated human and machine components. Inspection is the first critical step in locating and identifying non-conformities that are later removed or fixed as part of maintenance. Thus, inspection constitutes a critical step in the overall maintenance process. Significantly, 90% of all inspection, which is visual, is conducted by human inspectors. Moreover aircraft inspection is often performed under varying pacing conditions. If we are to provide the general public with a safe and reliable air transportation system, inspection must be performed effectively, efficiently and consistently over time. However, past studies in human inspection have reported large individual differences in inspection performance. Even though it is difficult to eliminate errors completely, continuing emphasis must be placed on identifying interventions to reduce errors and improve consistency in performance.

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JUSTIFICATION OPTIMAL PARAMETERS OF REGULATED MAINTENANCE STRATEGY

Collection of scientific works of the Military Institute of Kyiv National Taras Shevchenko University ◽

10.17721/2519-481x/2020/69-02 ◽

2020 ◽

pp. 13-22

Author(s):

S.V. Lienkov ◽

I.V. Tolok ◽

G.V. Banzak ◽

R.Yu. Koltsov ◽

E.S. Lenkov ◽

...

Keyword(s):

Technical Condition ◽

Complex Model ◽

Maintenance Strategy ◽

Optimal Parameters ◽

Maintenance System ◽

Different Types ◽

Wear And Tear ◽

The Cost ◽

Maintenance Process ◽

Different Levels

A characteristic feature of complex technical objects for special purposes is the presence in their composition of a large number (tens, hundreds of thousands) of different types component parts that have different levels of reliability, different patterns of their wear and tear processes. This feature requires a more subtle approach to the organization and planning maintenance in the course of their operation. The problem is that in the development of such facilities, all issues related to maintainability and maintenance should be addressed already at the early stages of facility design. If you do not provide in advance the necessary hardware and software for the built-in monitoring of the technical condition (TC) of the facility, do not develop and “build” the maintenance technology into facility, then it will not be possible to realize in the future a possible gain in the reliability of the facility due to maintenance. Since all these issues must be resolved at the stage of object creation (when object does not yet exist), mathematical models of the maintenance process are needed, with the help of which it would be possible to calculate the possible gain in the level of reliability facility due to maintenance, estimate the cost costs required for this. Then, based on such calculations, make a decision on the need for maintenance given type of objects and, if such a decision is made, develop the structure of the maintenance system, choose the most acceptable maintenance strategy, and determine its optimal parameters. The paper shows that the model for the regulated maintenance strategy is an improved version of the already known models and is introduced into the complex model for the purpose of comparative assessment of various maintenance strategies. In addition, it should be borne in mind that in practice, some cases, a regulated maintenance strategy may be preferable to MCC strategies.

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Bayesian maintenance decision optimisation based on computing the information value from condition inspections

Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability ◽

10.1177/1748006x20978127 ◽

2021 ◽

pp. 1748006X2097812

Author(s):

Guang Zou ◽

Kian Banisoleiman ◽

Arturo González

Keyword(s):

Decision Making ◽

Structural Integrity ◽

Fatigue Cracking ◽

Cost Effective ◽

Offshore Structures ◽

Information Value ◽

Bayesian Decision ◽

Maintenance Strategies ◽

Optimal Maintenance ◽

Maintenance Decision

A challenge in marine and offshore engineering is structural integrity management (SIM) of assets such as ships, offshore structures, mooring systems, etc. Due to harsh marine environments, fatigue cracking and corrosion present persistent threats to structural integrity. SIM for such assets is complicated because of a very large number of rewelded plates and joints, for which condition inspections and maintenance are difficult and expensive tasks. Marine SIM needs to take into account uncertainty in material properties, loading characteristics, fatigue models, detection capacities of inspection methods, etc. Optimising inspection and maintenance strategies under uncertainty is therefore vital for effective SIM and cost reductions. This paper proposes a value of information (VoI) computation and Bayesian decision optimisation (BDO) approach to optimal maintenance planning of typical fatigue-prone structural systems under uncertainty. It is shown that the approach can yield optimal maintenance strategies reliably in various maintenance decision making problems or contexts, which are characterized by different cost ratios. It is also shown that there are decision making contexts where inspection information doesn’t add value, and condition based maintenance (CBM) is not cost-effective. The CBM strategy is optimal only in the decision making contexts where VoI > 0. The proposed approach overcomes the limitation of CBM strategy and highlights the importance of VoI computation (to confirm VoI > 0) before adopting inspections and CBM.

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