Reliability-based advanced maintenance modelling to enhance rolling stock manufacturers’ objectives

Erguido, Asier; Márquez, Adolfo Crespo; Castellano, Eduardo E.; Flores, José Luis Martínez; Gallego‐Fernández, Juan B.

doi:10.1016/j.cie.2020.106436

Cited by 15 publications

(12 citation statements)

References 69 publications

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“…They used the multiple risk matrix, Failure Mode and Effects Analysis (FMEA), Analytic Hierarchy Process (AHP), and Fuzzy Borda Count methods to do their research. Reliability-based maintenance modelling was also employed to enhance the rolling stock objectives of manufacturers [26]. Similarly, Yavuz [27] confirmed the effectiveness of the RCM approach in the food industry.…”

Section: Literature Reviewmentioning

confidence: 75%

Critical Success Factors of the Reliability-Centred Maintenance Implementation in the Oil and Gas Industry

et al. 2020

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Reliability-Centred Maintenance (RCM) is a strategic process to improve the maintenance planning of companies which contributes to sustainable production. This method has been applied by numerous industries to achieve an efficient maintenance process, but many have not fully completed their goals. The reason for this failure is that RCM implementation is complex, and organisations need to have adequate preparations before they implement it. In the pre-implementation phase, it is necessary to know the number of Critical Success Factors (CSFs) as a critical measure for implementing the RCM method successfully. Therefore, it is important for practitioners to apply a symmetric mechanism involving fuzzy systems to achieve the desired RCM implementation. There are a limited number of studies that have observed these factors regarding the characteristics of oil and gas companies, especially in the pre-implementation phase. Addressing RCM pre-implementation issues is of high importance from the economic perspective of sustainability for oil and gas organisations. The objective of this study is to investigate significant items in RCM pre-implementation through a combination of quantitative and qualitative analyses. The Nominal Group Technique (NGT) method is applied by gaining the opinion of experts to determine the factors and prioritising them using mathematical modelling. A group of related experts from the oil and gas industry were initially interviewed and surveyed to determine the critical success factors. These identified factors were then analysed using quantitative analysis to identify the important degrees and scored using Fuzzy Analytic Network Process (FANP). Fifteen major factors affecting the criticality of successful RCM implementation have been identified and prioritised, based on their weights. The model proposed in this study could be used as a guideline for assessing CSFs in other countries. To apply the proposed model in different contexts, it needs to be modified according to the needs, policies, and perspectives of each country.

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Section: Literature Reviewmentioning

confidence: 75%

Critical Success Factors of the Reliability-Centred Maintenance Implementation in the Oil and Gas Industry

et al. 2020

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“…To provide manufacturers' with insights to define the contracts according to their business objectives. Authors' related work [72] If rolling stock manufacturers were to offer a profitable and successful result-oriented PSS, they should not only be able to estimate their products' performance during the life cycle, but to identify how their decisions affect such performance as well (TC1, TC3). To this respect, as illustrated in Figure 8, the simulation-based optimisation module of the management framework provides valuable insights, identifying the operational expenditure and service level to which the optimal maintenance strategies lead within the boundaries of the designed PSS (see case study characterization in Table II).…”

Section: Framework Objectivementioning

confidence: 99%

“…Authors' related work [72] Besides the maintenance-related decision-making process, the management framework proposed allows facilitating other AM decisions to enhance the PSS performance, facing TC1 and TC4. Such enhancements in the PSS, which are analysed in the decision support module based on the optimised PSS, might have diverse sources: changes in assets' portfolio and/or technology, new terms in relationships with providers, modifications in supply chain processes, etc.…”

Section: Framework Objectivementioning

confidence: 99%

Asset Management Framework and Tools for Facing Challenges in the Adoption of Product-Service Systems

Erguido

Márquez

Castellano

et al. 2022

IEEE Trans. Eng. Manage.

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Servitisation is recognized as a key business strategy for Original Equipment Manufacturers willing to move up the value chain. However, several barriers have to be overcome in order to successfully integrate products and services. Many of these barriers are caused by the technical challenges associated with the design and management of the product-service systems, such as life cycle service level and cost estimation, risk management, or the system design and pricing.Asset management presents itself as a key research area in order to overcome these barriers as well as to integrate product-service systems within the manufacturers' operations management. It is the scope of this paper to provide theoretical and practical insights with regards to the alignment of asset management and product-service system research areas. To support the alignment between both areas, a management framework which gathers specific technologies, including reliability analysis, simulation modelling and multi-objective optimisation algorithms, is presented. The purpose of the framework is to provide manufacturers with a decision-support tool that facilitates the main managerial challenges faced when implementing a servitisation strategy.The paper contributions are successfully applied to case studies in the railway and wind energy sectors based on real field data, thereby demonstrating their suitability for both facilitating manufacturer's decisionmaking process and better satisfying stakeholders' interests. MANAGERIAL RELEVANCE STATEMENTShifting from product-oriented to service-oriented business models could become critical for those manufacturers aiming at moving up the value chain for a better future market position. However, such business models imply to assume the ownership of the products that they used to sell, and in rather unknown scenarios. Thus, products become manufacturers' assets, which need to be managed for them to provide value to their businesses over their entire life cycle.The lack of asset management capabilities at manufacturers' side may develop a serious risk that is further translated into barriers hindering service-oriented business models adoption. Such barriers are related to difficulties, for instance, to properly define the product-service system contracts or to fulfil stakeholders' requirements during the system life cycle in highly uncertain scenarios.In this context, the present paper proposes a management framework to provide manufacturers some of the capabilities needed to overcome above mentioned barriers, helping them to design and manage successful 2 product-service systems.The framework designed consists of analytical and empirical models providing advanced capabilities for product-service systems management. Likewise, the paper helps manufacturers understand the managerial insights that such capabilities may provide them along their different decision processes, which are further illustrated through wind energy and railway case studies. AbstractServitisation is recognized as a key business strategy f...

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“…Recently, RS systems and their associated components have undergone incredible transformations to accommodate the increasing need for speed and passenger comfort [1]. Although such transformations have significantly enhanced customer satisfaction, they have also increased the overall system complexity, uncertainty, and risk profiles of most critical components [2]- [5]. One of these critical components is the semi-permanent coupler, which is designed to guarantee permanent mechanical and pneumatic linkage between the individual cars in a typical RS system.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Hybrid Model for Comprehensive Risk Assessment: A Case Study of Train Derailment Due to Coupler Failure

Appoh

Yunusa‐Kaltungo

2022

IEEE Access

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Comprehensive risk assessment plays a significant role in railway rolling stock safety planning to prevent accidents, including rail derailment and collision. Several methods of evaluating individual sources of railway system risk, ranging from human factors to inherent system failure and environmental hazards, exist in the literature. However, the lack of a hybrid technique to integrate these multiple sources of risk holistically, including their interdependent effects, as a single framework for robust, accurate, and comprehensive risk assessment can limit risk perception and risk mitigation actions. This report proposes a dynamic hybrid model (DHM) that incorporates the Bayesian convolutional factorization and elimination method as a compound aggregation of frequency and severity distributions. The DHM validates predicted risk using Bayesian expectation-maximization machine learning with evidenced-based propagation from expert knowledge and learned data. It also incorporates sensitivity analysis to improve the predicted risk further by prioritizing the hazards with the maximum impact on the estimated risk due to organization resource constraints. A railway case study in the UK revealed that risk prediction using the DHM provided a holistic view of the risk. The results showed that the quantitative risk prediction using the DHM was significantly more robust, accurate, and holistic than that of the conventional risk-assessment method based on the inherent failure rate. This research will facilitate the comprehensive development of risk-mitigation strategies, such as improvements in staff training and wiring insulation, to decrease the likelihood of train derailment caused by semi-permanent coupler failure.INDEX TERMS Bayesian factorization and elimination, expectation-maximization, railway safety, risk assessment, sensitivity analysis, train derailment FIGURE 1. Typical three-car EMU with exploded view of a semi-permanent coupler and its associated major components [6], [7].

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Reliability-based advanced maintenance modelling to enhance rolling stock manufacturers’ objectives

Cited by 15 publications

References 69 publications

Critical Success Factors of the Reliability-Centred Maintenance Implementation in the Oil and Gas Industry

Critical Success Factors of the Reliability-Centred Maintenance Implementation in the Oil and Gas Industry

Asset Management Framework and Tools for Facing Challenges in the Adoption of Product-Service Systems

Dynamic Hybrid Model for Comprehensive Risk Assessment: A Case Study of Train Derailment Due to Coupler Failure

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