DECISION SUPPORT MODEL IN FAILURE-BASED COMPUTERIZED MAINTENANCE MANAGEMENT SYSTEM FOR SMALL AND MEDIUM INDUSTRIES

Maintenance decision support system is crucial to ensure maintainability and reliability of equipments in production lines. This thesis investigates a few decision support models to aid maintenance management activities in small and medium industries. In order to improve the reliability of resources in production lines, this study introduces a conceptual framework to be used in failure-based maintenance. Maintenance strategies are identified using the Decision-Making Grid model, based on two important factors, including the machines’ downtimes and their frequency of failures. The machines are categorized into three downtime criterions and frequency of failures, which are high, medium and low. This research derived a formula based on maintenance cost, to re-position the machines prior to Decision-Making Grid analysis. Subsequently, the formula on clustering analysis in the Decision-Making Grid model is improved to solve multiple-criteria problem. This research work also introduced a formula to estimate contractor’s response and repair time. The estimates are used as input parameters in the Analytical Hierarchy Process model. The decisions were synthesized using models based on the contractors’ technical skills such as experience in maintenance, skill to diagnose machines and ability to take prompt action during troubleshooting activities. Another important criteria considered in the Analytical Hierarchy Process is the business principles of the contractors, which includes the maintenance quality, tools, equipments and enthusiasm in problem-solving. The raw data collected through observation, interviews and surveys in the case studies to understand some risk factors in small and medium food processing industries. The risk factors are analysed with the Ishikawa Fishbone diagram to reveal delay time in machinery maintenance. The experimental studies are conducted using maintenance records in food processing industries. The Decision Making Grid model can detect the top ten worst production machines on the production lines. The Analytical Hierarchy Process model is used to rank the contractors and their best maintenance practice. This research recommends displaying the results on the production’s indicator boards and implements the strategies on the production shop floor. The proposed models can be used by decision makers to identify maintenance strategies and enhance competitiveness among contractors in failure-based maintenance. The models can be programmed as decision support sub-procedures in computerized maintenance management systems

A Review of Optimization Models and Techniques for Maintenance Decision Support Systems in Small and Medium Industries

There are not many sufficient studies made on the application of artificial intelligence techniques to access troubleshooting activities as it always taken into consideration in a verbal sense and yet is not dealt with mathematically. The proposed study extended Choy, John, Thomas & Yan [1] models using either semi-parametric or non-parametric approaches of reliability analysis to examine the relationship between repair time and various risk factors of interest. Then the models will be embedded to neural networks to provide better estimation of repairing parameters. The proposed models can be used by maintenance managers as a benchmarking to develope quality service to enhance competitiveness among service providers in corrective maintenance field. Also the models can be deployed farther to develop a computerized decision support syste

A Review of Optimization Models and Techniques for Maintenance Decision Support Systems in Small and Medium Industries

The research is based on the fact that decision support systems (DSSs) is needed for maintenance process in commonly industries. Many maintenance functions with varieties optimization models and techniques have been proposed for solving the problems. The aim of this research was to identify those optimization models and techniques to conduct maintenance decision support system in small and medium industries (SMIs). A systematic literature review was performed to gather relevant information. The results shown several trends related in the fields area. Next, the research direction has been suggested to develop the systems

Integrated Frameworks for Effective Multi-criteria Decision Making in Reliability Centred Maintenance of Industrial Machines

No abstract availabl

A business process reengineering framework using the analytic hierarchy process to select a traceability technology for spare parts management in capital-intensive industries

Thesis (MEng)--Stellenbosch University, 2016.ENGLISH ABSTRACT: demand forecasting for spare parts; and inventory warehousing management. Various aspects (including 29 best practices) of BPR are described in order to support the proposed framework. These include criteria for selecting processes to redesign, the role of Information Technology in BPR and typical barriers to eff ective implementation of BPR. The AHP (a multi-criteria decision-making method) is explained in detail, as it facilitates the selection of asset traceability technology. An overview of asset traceability technologies (speci fically barcode technology, Radio Frequency Identi cation (RFID) technology and Global Positioning System (GPS) technology) is also provided, including the description of certain characteristics of each technology. The proposed framework, based on the literature review, serves as a structured guide and consists of two primary parallel elements (referred to as streams), namely the BPR stream and the Change Management stream. The BPR stream encompasses six phases of BPR (Contextualise SPM, Business Process Redesign, Asset Traceability Technology, Decision-Making, Implement, and Monitor and Evaluate) while the Change Management stream consists of three stages (Unfreeze State, Change State and Refreeze State). The framework is validated through face validation via semi-structured interviews with participants forming a panel of experts involved in and familiar with SPM and asset traceability technology. According to the expert panel, the proposed framework satisfies achievement of the desired framework attributes, namely (i) Generic and adaptable, (ii) Holistic and comprehensive, (iii) Structured and objective- or outcome-oriented and (iv) Practical. In addition, the expert panel perceived the framework to be useful, easy to use and understandable. However, recommendations were proposed to further improve the framework, including the addition of a scoping and objectives section and the expansion of the Change Management element.AFRIKAANSE OPSOMMING: Onderdele is noodsaaklik vir die e ektiewe bedryf van 'n kapitaal-intensiewe organisasie en maak, tesame met materiaalverbruik, ongeveer 50% uit van 'n tipiese instandhoudingsbegroting. Ten spyte van die relatief groot hoeveelheid literatuur beskikbaar oor onderdele, pas min maatskappye egter ordentlike strukturele, feitlike en kwantitatiewe Onderdelebestuur toe. Geïntegreerde benaderings om onderdele te bestuur, sowel as om teoretiese modelle te ondersteun met praktiese riglyne, word benodig ten einde die gaping tussen navorsing en praktyk te oorbrug. Die studie het voortgevloei uit 'n geleentheid geïdenti seer om prosesse binne Onderdelebestuur te verbeter, spesi ek deur die gebruik van bate opspoorbaarheidstegnologie. 'n Raamwerk word voorgestel wat (i) die Besigheidsproses Hersiening lei deur prosesse binne Onderdelebestuur, met die inagneming van elemente van Veranderingsbestuur, en (ii) die keuse van opspoorbaarheidstegnologie lei vir integrasie binne Onderdelebestuur by kapitaal-intensiewe organisasies (deur die gebruik van die Analitiese Hiërargie Proses). Die navorsing bestaan uit 'n bespreking van Batebestuur, insluitend PAS 55 en ISO 55000 (twee belangrike Batebestuur dokumentreekse) en Veranderings-bestuur, wat 'n noodsaaklike aspek vir implementering is. Vervolgens word Onderdelebestuur, 'n onderafdeling van Batebestuur wat verband hou met onderdele en die fokuspunt van die studie is, aangespreek. Die volgende Onderdelebestuur aspekte word onder andere aangespreek: eienskappe van onderdele en hoe onderdele van ander algemene voorraad verskil; klassi seringskriteria en klassi seringstegnieke; vooruitskatting van die vraag na onderdele; en die bestuur van voorraadvlakke. Verskeie aspekte (insluitend 29 beste praktyke) van Besigheidsproses Hersiening word beskryf ten einde die voorgestelde raamwerk te ondersteun. Dit sluit kriteria in vir die keuse van herontwerpsprosesse, die rol van Inligtingstegnologie in Besigheidsproses Hersiening en tipiese struikelblokke vir die e ektiewe implementering van Besigheidsproses Hersiening. Die Analitiese Hiërargie Proses ('n multi-kriteria besluitnemingsmetode) word in detail verduidelik, aangesien dit die keuse van 'n bate opspoorbaarheidstegnolgie moet fasiliteer. 'n Oorsig van bate pspoorbaarheidstegnolgieë (spesi ek strepieskode tegnologie, Radiofrekwensie Identi kasie (RFID) tegnologie en Globale Posisioneringstelsel (GPS) tegnologie) word ook verskaf, insluitend die beskrywing van sekere eienskappe van elke tegnolgie. Die voorgestelde raamwerk, gebasseer op die literatuurstudie, dien as 'n gestruktureerde gids en bestaan uit twee primêre parallele elemente (wat na verwys word as strome), naamlik die Besigheidsproses Hersiening stroom en die Veranderingsbestuur stroom. Die Besigheidsproses Hersiening stroom vervat ses fases van Besigheidsproses Hersiening (Kontekstualiseer Onderdelebestuur, Besigheidsproses Hersiening, Bate Opspoorbaarheidstegnolgie, Besluitneming, Implementeer, en Monitor en Evalueer) terwyl die Veranderingsbestuur stroom bestaan uit drie stadiums (Ontvries Stadium, Verander Stadium en Hervries Stadium). Die voorgestelde raamwerk word bekragtig deur sigwaarde bekragtiging via semi-gestruktureerde onderhoude met deelnemers wat 'n paneel van deskundiges vorm wat betrokke en vertroud is met Onderdelebestuur en Bate Opspoorbaarheidstegnolgie. Volgens die paneel van deskundiges slaag die voorgestelde raamwerk daarin om die vereiste raamwerk kenmerke te bereik, naamlik (i) Generies en aanpasbaar, (ii) Holisties en omvattend, (iii) Gestruktureerd en doelof uitkomsgeöriënteerd en (iv) Prakties. Boonop het die paneel van deskundiges die raamwerk gesien as nuttig, maklik om te gebruik en verstaanbaar. Aanbevelings was egter voorgestel om die raamwerk verder te verbeter, insluitend die byvoeging van 'n bestek en doelwitte afdeling en die uitbreiding van die Veranderingsbestuur element

Establishment of a novel predictive reliability assessment strategy for ship machinery

There is no doubt that recent years, maritime industry is moving forward to novel and sophisticated inspection and maintenance practices. Nowadays maintenance is encountered as an operational method, which can be employed both as a profit generating process and a cost reduction budget centre through an enhanced Operation and Maintenance (O&M) strategy. In the first place, a flexible framework to be applicable on complex system level of machinery can be introduced towards ship maintenance scheduling of systems, subsystems and components.;This holistic inspection and maintenance notion should be implemented by integrating different strategies, methodologies, technologies and tools, suitably selected by fulfilling the requirements of the selected ship systems. In this thesis, an innovative maintenance strategy for ship machinery is proposed, namely the Probabilistic Machinery Reliability Assessment (PMRA) strategy focusing towards the reliability and safety enhancement of main systems, subsystems and maintainable units and components.;In this respect, the combination of a data mining method (k-means), the manufacturer safety aspects, the dynamic state modelling (Markov Chains), the probabilistic predictive reliability assessment (Bayesian Belief Networks) and the qualitative decision making (Failure Modes and Effects Analysis) is employed encompassing the benefits of qualitative and quantitative reliability assessment. PMRA has been clearly demonstrated in two case studies applied on offshore platform oil and gas and selected ship machinery.;The results are used to identify the most unreliability systems, subsystems and components, while advising suitable practical inspection and maintenance activities. The proposed PMRA strategy is also tested in a flexible sensitivity analysis scheme.There is no doubt that recent years, maritime industry is moving forward to novel and sophisticated inspection and maintenance practices. Nowadays maintenance is encountered as an operational method, which can be employed both as a profit generating process and a cost reduction budget centre through an enhanced Operation and Maintenance (O&M) strategy. In the first place, a flexible framework to be applicable on complex system level of machinery can be introduced towards ship maintenance scheduling of systems, subsystems and components.;This holistic inspection and maintenance notion should be implemented by integrating different strategies, methodologies, technologies and tools, suitably selected by fulfilling the requirements of the selected ship systems. In this thesis, an innovative maintenance strategy for ship machinery is proposed, namely the Probabilistic Machinery Reliability Assessment (PMRA) strategy focusing towards the reliability and safety enhancement of main systems, subsystems and maintainable units and components.;In this respect, the combination of a data mining method (k-means), the manufacturer safety aspects, the dynamic state modelling (Markov Chains), the probabilistic predictive reliability assessment (Bayesian Belief Networks) and the qualitative decision making (Failure Modes and Effects Analysis) is employed encompassing the benefits of qualitative and quantitative reliability assessment. PMRA has been clearly demonstrated in two case studies applied on offshore platform oil and gas and selected ship machinery.;The results are used to identify the most unreliability systems, subsystems and components, while advising suitable practical inspection and maintenance activities. The proposed PMRA strategy is also tested in a flexible sensitivity analysis scheme

EmC-ICDSST 2019: 5th International Conference on Decision Support System Technology - ICDSST 2019 & EURO Mini Conference 2019 on "Decision Support Systems: Main Developments & Future Trends"

info:eu-repo/semantics/publishedVersio

Development of an advanced artificial intelligent reliability analysis tool to enhance ship operations and maintenance activities

No Abstract availableNo Abstract availabl