lnu.sePublications
Change search
Link to record
Permanent link

Direct link
BETA
Al-Najjar, Basim
Publications (10 of 159) Show all publications
Al-Najjar, B. & Algabroun, H. (2018). A Model for Increasing Effectiveness and Profitability of Maintenance Performance: A Case Study. In: Engineering Asset Management 2016: roceedings of the 11th World Congress on Engineering Asset Management. Paper presented at The 11th World Congress on Engineering Asset Management WCEAM), Jiuzhaigou, China, 25–28 July, 2016 (pp. 1-12). Switzerland: Springer
Open this publication in new window or tab >>A Model for Increasing Effectiveness and Profitability of Maintenance Performance: A Case Study
2018 (English)In: Engineering Asset Management 2016: roceedings of the 11th World Congress on Engineering Asset Management, Switzerland: Springer, 2018, p. 1-12Conference paper, Published paper (Refereed)
Abstract [en]

In today’s market, companies strive to achieve the competitive advantages.Failing in achieving these goals could threaten the companies’ existence.Failures in the operative level impact negatively on achieving these goals. In orderto record these failures for better actions planning, special systems are often usedfor counting the number of failures, the duration of machines downtime and uptimefor assessing the total downtime and classifying problems/failures in categories thatare decided in advance. In this study, we develop a model to break down thecontents of a company failure databases, prioritize failures, assess economic lossesdue to failure impact on the competitive advantages and suggest a method of howmaintenance actions should be rank-ordered cost-effectively. The model is testedusing real data. The major results showed that losses are mainly due to twocategories i.e. “Bad quality” and “Less profit margin”, where failures of “Gear”,“Bearing” and “Raw materials quality” cause most of the losses. It is concluded thatthis model will enable the user to quickly identify and prioritize maintenance andimprovement efforts cost-effectively.

Place, publisher, year, edition, pages
Switzerland: Springer, 2018
Series
Lecture notes in Mechanical Engineering, ISSN 2195-4356
Keywords
Failures impact • Failure classification • Maintenance impact on competitive advantages • Maintenance decision making • Maintenance performance enhancement
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-70421 (URN)10.1007/978-3-319-62274-3_1 (DOI)978-3-319-62274-3 (ISBN)
Conference
The 11th World Congress on Engineering Asset Management WCEAM), Jiuzhaigou, China, 25–28 July, 2016
Available from: 2018-02-02 Created: 2018-02-02 Last updated: 2018-05-16Bibliographically approved
Al-Najjar, B. (2018). CBM Today and Tomorrow: A Model for Digitalised, Automated and Intelligent CBM Exemplified for VBM. Journal of Maintenance Engineering, 2, 243-256
Open this publication in new window or tab >>CBM Today and Tomorrow: A Model for Digitalised, Automated and Intelligent CBM Exemplified for VBM
2018 (English)In: Journal of Maintenance Engineering, Vol. 2, p. 243-256Article in journal (Refereed) Published
Abstract [en]

Industry strives towards developing and implementing digitalised and automated production process, Industry 4.0. This states hard terms and conditions to develop new concept-based maintenance to meet the new production process demands. Intelligent and automated condition-based maintenance (CBM) exempli-fied in vibration-based maintenance (VBM) is one of the most suitable techniques for developing a maintenance concept fulfilling the demands stated by Industry 4.0. In this paper, we identified today´s VBM-process activities and their applica-tion, and introduced and discussed their status. In addition, we developed a model that describes future VBM, Cognitive VBM. Then, we compared cognitive VBM with the currently available VBM. The major conclusions are the potential benefit of applying Cognitive VBM is the continuous enhancement of company internal effectiveness in a cost-effective way.

Place, publisher, year, edition, pages
UK: ShieldCrest Publishing Aylesbury, Buckinghamshire, 2018
Keywords
Condition-based Maintenance (CBM); Vibration-based Maintenance (VBM); Cognitive VBM; Digitalised and Automated Maintenance
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-77711 (URN)
Note

Ej belagd 181003

Available from: 2018-09-13 Created: 2018-09-13 Last updated: 2018-10-03Bibliographically approved
Ingwald, A. & Al-Najjar, B. (2018). EcoCon: A System for Monitoring Economicand Technical Performance of Maintenance. In: Engineering Asset Management 2016: Proceedings of the 11th World Congress on Engineering Asset Management. Paper presented at The 11th World Congress on Engineering Asset Management (WCEAM), Jiuzhaigou, China, 25–28 July, 2016 (pp. 85-97). Switzerland: Springer
Open this publication in new window or tab >>EcoCon: A System for Monitoring Economicand Technical Performance of Maintenance
2018 (English)In: Engineering Asset Management 2016: Proceedings of the 11th World Congress on Engineering Asset Management, Switzerland: Springer, 2018, p. 85-97Conference paper, Published paper (Refereed)
Abstract [en]

Maintenance has been treated as a cost-center although it has obviousdirect impact on company production, delivery on time, product quality andconsequently company business. In this paper we develop and test a new system(EcoCon) for monitoring and assessing the economic impact of maintenance on aproduction process. EcoCon is tested using real industrial data collected over3 years. The main findings are that by using EcoCon it is possible to assessmaintenance economic impact on a production process. Also, EcoCon providesdata for analyzing causes behind deviations in maintenance and production performance.It can be applied on companies of similar production process/machine. But,in some cases, the system demands marginal accommodation to suit the differencesin the maintenance economic related factors among companies. EcoCon providesproduction and maintenance mangers reliable overview of maintenance importancethrough monitoring maintenance economic impact by linking technical productionperformance, e.g. downtime, to economic savings/losses generated due to maintenanceperformance and other activities.

Place, publisher, year, edition, pages
Switzerland: Springer, 2018
Series
Lecture notes in Mechanical Engineering, ISSN 2195-4356
Keywords
Maintenance management • Cost-effectiveness • Decision support
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-70422 (URN)10.1007/978-3-319-62274-3_8 (DOI)978-3-319-62274-3 (ISBN)
Conference
The 11th World Congress on Engineering Asset Management (WCEAM), Jiuzhaigou, China, 25–28 July, 2016
Available from: 2018-02-02 Created: 2018-02-02 Last updated: 2018-02-09Bibliographically approved
Algabroun, H., Iftikhar, M. U., Al-Najjar, B. & Weyns, D. (2018). Maintenance 4.0 Framework using Self: Adaptive Software Architecture.. Journal of Maintenance Engineering, 2, 280-293
Open this publication in new window or tab >>Maintenance 4.0 Framework using Self: Adaptive Software Architecture.
2018 (English)In: Journal of Maintenance Engineering, Vol. 2, p. 280-293Article in journal (Refereed) Published
Abstract [en]

With the recent advances of manufacturing technologies, referred to as Industry 4.0, maintenance approaches have to be developed to fulfill the new de-mands. The technological complexity associated to Industry 4.0 makes designing maintenance solutions particularly challenging. This paper proposes a novel maintenance framework leveraging principles from self-adaptation and software architecture. The framework was tested in an operational scenario where a bearing condition in an electrical motor needs to be managed, the results showed a proper operation. As a conclusion, the proposed framework could be used to develop maintenance systems for Industry 4.0.

Place, publisher, year, edition, pages
UK: ShieldCrest Publishing Aylesbury, Buckinghamshire, 2018
Keywords
Maintenance 4.0, Maintenance framework, Self-adaptation, Software architecture.
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-77713 (URN)
Note

Ej belagd 181003

Available from: 2018-09-13 Created: 2018-09-13 Last updated: 2018-10-03Bibliographically approved
Maletič, D., Maletič, M., Al-Najjar, B. & Gomišček, B. (2017). Asset life cycle management: towards improving operational performance. In: Su Mi Dahlgaard-Park and Jens J. Dahlgaard (Ed.), 20th QMOD-ICQSS Conference 2017, 4-7 August, 2017, Helsingör: . Paper presented at 20th QMOD-ICQSS Conference 2017, 4-7 August, 2017, Helsingör (pp. 1-7). Lund, Sweden: Lund University Library Press
Open this publication in new window or tab >>Asset life cycle management: towards improving operational performance
2017 (English)In: 20th QMOD-ICQSS Conference 2017, 4-7 August, 2017, Helsingör / [ed] Su Mi Dahlgaard-Park and Jens J. Dahlgaard, Lund, Sweden: Lund University Library Press , 2017, p. 1-7Conference paper, Published paper (Refereed)
Abstract [en]

Purpose – The purpose of this paper is to analyse the links between physical asset management policy and strategy, life cycle management of physical assets and operational performance. Even though there is some empirical evidence that physical asset management practices associate with performance outcomes of an organization, there is a need to further explore the interrelationship between physical asset management practices and organizational performance outcomes.Methodology/Approach – The data used in this study were obtained from a research project conducted by a team of international researchers in the field of maintenance and asset management. The target survey population consisted of international e-mail lists of managers across a wide range of functions. In total, 138 usable responses were collected during the given time window. The questionnaire was responded by organizations that are located in located in Slovenia, Poland, Greece, Sweden, Turkey and Slovakia, in portion of 31.9%, 34.1%, 16.7%, 6.5%, 5.8% and 5.1%, respectively. In terms of organizational size (following the guidelines of the Statistical Office of the Republic of Slovenia), 12.2% of the sample was composed of micro-enterprises having five or fewer employees, 17.4% were small-sized organizations employing 50 or less employees, 31.3% were medium sized organizations, employing 51–250 employees, 21.7% organizations were with 251–500 employees and 12.2% organizations were with more than 500 employees. Based upon Slovenian Standard Industrial Classification Codes (SIC), most respondents (39.3%) indicated that their organization is in the manufacturing industry.We applied the Partial Least Squares Path Modeling (PLS-PM) using the R package plspm to assess measurement and structural model (Sanchez, 2013). The method is suitable for studying complex multivariate relationships among observed and latent variables. PLS-PM uses an iterative algorithm that firstly provides weights, loadings and other relevant statistics for estimation of the blocks of the measurement model. Subsequently, PLS-PM algorithm estimates the path coefficients in the structural model (Esposito Vinzi et al., 2010).Findings – Within the scope of PLS-PM measurement model (outer model) assessment, loadings and communalities were checked. As suggested by Sanchez (2013) loadings should be above the value of 0.7. The outer model assessment results (loadings, weights and communalities) for studied constructs are presented in Appendix 1 and 2. According to the results, characteristics of measurement model appears to be suitable for further analysis of PLS-PM. There were a few indicators with loadings just below the recommended value of 0.7, however, they were kept in the measurement model due to content considerations.

Place, publisher, year, edition, pages
Lund, Sweden: Lund University Library Press, 2017
Keywords
Asset life cycle, operational performance
National Category
Business Administration
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-77428 (URN)
Conference
20th QMOD-ICQSS Conference 2017, 4-7 August, 2017, Helsingör
Available from: 2018-08-28 Created: 2018-08-28 Last updated: 2018-10-15Bibliographically approved
Al-Najjar, B. (2017). CBM Today and Tomorrow: A Model for Digitalised, Automated and Intelligent CBM Exemplified for VBM. In: Jyoti K. Sinha (Ed.), Proceedings of 2nd International Conference on Maintenance Engineering, IncoME-II 2017.The University of Manchester, UK, The University of Manchester, UK , 2017: . Paper presented at 2nd International Conference on Maintenance Engineering, IncoME-II 2017.The University of Manchester, UK, The University of Manchester, UK , 2017 (pp. 262-273). Manchester, UK: The University of Manchester, UK, Article ID ME2017_1132.
Open this publication in new window or tab >>CBM Today and Tomorrow: A Model for Digitalised, Automated and Intelligent CBM Exemplified for VBM
2017 (English)In: Proceedings of 2nd International Conference on Maintenance Engineering, IncoME-II 2017.The University of Manchester, UK, The University of Manchester, UK , 2017 / [ed] Jyoti K. Sinha, Manchester, UK: The University of Manchester, UK , 2017, p. 262-273, article id ME2017_1132Conference paper, Published paper (Refereed)
Abstract [en]

Industry strives towards developing and implementing digitalised and automated production process, Industry 4.0. This states hard terms and conditions to develop new concept-based maintenance to meet the new production process demands. Intelligent and automated condition-based maintenance (CBM) exempli-fied in vibration-based maintenance (VBM) is one of the most suitable techniques for developing a maintenance concept fulfilling the demands stated by Industry 4.0. In this paper, we identified today´s VBM-process activities and their applica-tion, and introduced and discussed their status. In addition, we developed a model that describes future VBM, Cognitive VBM. Then, we compared cognitive VBM with the currently available VBM. The major conclusions are the potential benefit of applying Cognitive VBM is the continuous enhancement of company internal effectiveness in a cost-effective way.

Place, publisher, year, edition, pages
Manchester, UK: The University of Manchester, UK, 2017
Keywords
Condition-based Maintenance (CBM); Vibration-based Maintenance (VBM); Cognitive VBM; Digitalised and Automated Maintenance.
National Category
Other Mechanical Engineering
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-71802 (URN)
Conference
2nd International Conference on Maintenance Engineering, IncoME-II 2017.The University of Manchester, UK, The University of Manchester, UK , 2017
Funder
VINNOVA, 2015-04497
Note

Ej belagd 180405

Available from: 2018-03-26 Created: 2018-03-26 Last updated: 2018-04-05Bibliographically approved
Maletic, D., Maletic, M., Al-Najjar, B., Gotzamani, K., Gianni, M., Kalinowski, T. B. & Gomiscek, B. (2017). Contingency Factors Influencing Implementation of Physical Asset Management Practices. Organizacija, 50(1), 3-16
Open this publication in new window or tab >>Contingency Factors Influencing Implementation of Physical Asset Management Practices
Show others...
2017 (English)In: Organizacija, ISSN 1318-5454, E-ISSN 1581-1832, Vol. 50, no 1, p. 3-16Article in journal (Refereed) Published
Abstract [en]

Purpose: The purpose of this empirical study is to examine the role of two contingency factors, i.e. uncertainty andcompetitiveness in relation to physical asset management (PAM) practices as well as to maintenance key performanceindicators. The research is based on a premise that PAM, which was defined by risk management practices,performance assessment practices, life cycle management practices, and policy & strategy practices, has becomean indispensable element of strategic thinking of asset owners as well as maintenance and asset managers. Thepurpose of this study is to advance the understanding of how organizations that face high or low level of uncertaintyand competitiveness respond in terms of PAM deployment.Methodology/Approach: This study employed a data set based on a large-scale survey among organizations insix European countries (i.e. Slovenia, Poland, Greece, Sweden, Turkey and Slovakia). Data were collected from 138organizations located in the above-mentioned countries to conduct the study.Findings: The results show that organizations that are faced with high level of uncertainty and competitiveness aremore engaged in the deployment of PAM practices. Moreover, results show that when organizations are facing highlevels of competitiveness they are using KPIs to a greater extent than organizations under low levels of competitiveness.Originality/value: From a theoretical perspective, this study contributes to the contingency theory by providingempirical evidence whether a context-dependent approach to PAM is needed. The findings also provide insights formanagers on how to respond to the competitive pressure as well as how to customize PAM practices in order to adaptto the changes in dynamic organizational environment.

Place, publisher, year, edition, pages
Walter de Gruyter, 2017
Keywords
Physical asset management, maintenance, uncertainty, competitiveness, maintenance key performance indicators, empirical study
National Category
Business Administration Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-61316 (URN)10.1515/orga-2017-0003 (DOI)000418151100001 ()
Available from: 2017-03-13 Created: 2017-03-13 Last updated: 2018-04-04Bibliographically approved
Algabroun, H., Iftikhar, M. U., Al-Najjar, B. & Weyns, D. (2017). Maintenance 4.0 Framework Using Self-Adaptive Software Architecture. In: Proceedings of 2nd International Conference on Maintenance Engineering, IncoME-II 2017.The University of Manchester, UK: . Paper presented at 2nd International Conference on Maintenance Engineering, IncoME-II 2017.The University of Manchester, UK. The University of Manchester, UK
Open this publication in new window or tab >>Maintenance 4.0 Framework Using Self-Adaptive Software Architecture
2017 (English)In: Proceedings of 2nd International Conference on Maintenance Engineering, IncoME-II 2017.The University of Manchester, UK, The University of Manchester, UK , 2017, , p. 299-309Conference paper (Refereed)
Abstract [en]

With the recent advances of manufacturing technologies, referred to as Industry 4.0, maintenance approaches have to be developed to fulfill the new de-mands. The technological complexity associated to Industry 4.0 makes designing maintenance solutions particularly challenging. This paper proposes a novel maintenance framework leveraging principles from self-adaptation and software architecture. The framework was tested in an operational scenario where a bearing condition in an electrical motor needs to be managed, the results showed a proper operation. As a conclusion, the proposed framework could be used to develop maintenance systems for Industry 4.0.

Place, publisher, year, edition, pages
The University of Manchester, UK, 2017. p. 299-309
Keywords
Maintenance 4.0, Maintenance framework, Self-adaptation, Software architecture.
National Category
Reliability and Maintenance
Research subject
Computer Science, Software Technology; Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-71804 (URN)
Conference
2nd International Conference on Maintenance Engineering, IncoME-II 2017.The University of Manchester, UK
Note

Ej belagd 180405

Available from: 2018-03-26 Created: 2018-03-26 Last updated: 2018-04-05Bibliographically approved
Maletic, D., Maletic, M., Al-Najjar, B. & Gomiscek, B. (2017). On a design of a maintenance performance measurement system: A sustainability persprctives. In: Iztok Podbregar (Ed.), 36th International Conference on Organizational Science Development: Responsible Organization. Paper presented at 36th International Conference on Organizational Science Development: Responsible Organization (pp. 509-518). University of Maribor Press
Open this publication in new window or tab >>On a design of a maintenance performance measurement system: A sustainability persprctives
2017 (English)In: 36th International Conference on Organizational Science Development: Responsible Organization / [ed] Iztok Podbregar, University of Maribor Press , 2017, p. 509-518Conference paper, Published paper (Refereed)
Abstract [en]

Measuring maintenance performance is important for companiesto monitor whether their planned objectives are achieved or not. It isessential to have a good overview about the performance of maintenanceprocesses in order to align maintenance objectives with the manufacturingand company’s objectives. This can be attained through a propermaintenance performance measurement system which is consisted ofindicators for measuring and monitoring the important elements of themaintenance function. A framework for maintenance performancemeasurement based on sustainability aspects is proposed. Additionally, anoverview of maintenance indicators is presented. The relevant elementsthat are needed to develop a maintenance performance measurementsystem are discussed in this study as well. Findings derived from this studyhave relevant practical implications as measuring and monitoring ofmaintenance performance measures is vital in detecting the deviations, aswell as to take timely actions, and nevertheless to achieve the desiredobjectives. In this regard, presented maintenance performance indicatorscan be useful for asset managers to develop an effective maintenanceperformance measurement system.

Place, publisher, year, edition, pages
University of Maribor Press, 2017
Keywords
maintenance, performance measurement, performance indicators, maintenance performance measurement system
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-61929 (URN)10.18690/978-961-286-020-2.42 (DOI)978-961-286-020-2 (ISBN)
Conference
36th International Conference on Organizational Science Development: Responsible Organization
Available from: 2017-03-28 Created: 2017-03-28 Last updated: 2017-05-10Bibliographically approved
Al-Najjar, B. (2016). A method and an apparatus for predicting the condition of amachine or a component of the machine. us 09476803.
Open this publication in new window or tab >>A method and an apparatus for predicting the condition of amachine or a component of the machine
2016 (English)Patent (Other (popular science, discussion, etc.))
Abstract [en]

The present invention relates to a methodand an apparatus for predicting the condition of a machine or a component of the machine based on measurements of a condition monitoring parameter. The apparatus comprising a data storage for storing a moving window including measurement values of the condition monitoring parameter, a monitoring module configured to determine whena measurement value exceeds a potential failure level at which damage of the machine or component is considered initiated, and to determine the point in time (tP) when the monitoring parameter exceeded the potential failure level, a data cleaning module configured to discarda new measurement value if it is smaller than the latest stored measurement value inthe moving window, to determine an expected value for the measurement based on a defined pattern for the condition monitoring parameter, which pattern reflects an expected behavior of the monitoring parameter after damage has been initiated, and the time elapsed since the point in time the monitoring parameter exceeded the potential failure level, and to discard the new measurement value if it deviates too much from the expected value, and to store not discarded measurement values in the moving window, and a prediction module configured to predict the level of the condition monitoring parameter at a future point in time based on the measurement

National Category
Applied Mechanics
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-62175 (URN)
Patent
US 09476803 (2016-10-25)
Available from: 2017-04-10 Created: 2017-04-10 Last updated: 2017-05-31Bibliographically approved
Organisations

Search in DiVA

Show all publications