A review of maintenance service for leasing equipment

Recent business trend focuses more on efficiency. One of the chosen ways is leased the capital equipment from other parties. The leasing option encourages both the lessee and lessor to discuss any consequences include responsibility for managing the equipment performance, rectifying failure during operation, maintenance option provided during leasing period, as well as the accompanying cost. The review and maping of publications are conducted based on the order in which the reference appears in the publication, in order to follow the development of thinking on the research topic of leasing, yet to identify the more recent development during the last decade. Several potential research ideas could be generated from the maping toward the fast and flexibel busines

A Two-dimensional Maintenance Service Contract Considering Availability and Maintenance Cost

In this paper, we study a two- dimensional Maintenance Service Contract (MSC) characterized by two limits (dimensions) of age and usage. It is considered that an agent offers a two-dimensional MSC by guaranteeing a certain level of equipment available to consumers. The agent needs to reduce the total maintenance cost to offer competitive MSC prices. Preventive maintenance actions (PM) are periodically carried out, and each PM action is considered to improve reliability modeled by reducing the failure rate function. Two decision variables (the PM interval (T) and the reduction in the intensity function  are obtained by considering two performance measures that are relevant to agents and consumers (i.e., availability and total maintenance cost). A numerical example is presented by considering three types of equipment usage rates: low, medium, and high. The optimization of the two performance measures can ensure availability targets and, at the same time, minimize total maintenance costs

The importance of preventative maintenance on flow measurement instrumentation

Abstract: Process plants need to produce more and more to keep up with growing demand. However,  these plants are also becoming eroded and dysfunctional due to the lack of maintenance, in  this case preventative maintenance (PM). PM is the schedule or periodic checking, to detect  the  degradation  of  equipment  on  a  plant.  Achieving  such  maintenance  efficiently  and  effectively is a vital activity to ensure good, safe, and high product quality on a plant. This  research considers the technical personnel’s perception towards conducting preventative  maintenance on flow measuring instruments on their respective plants.   This research looks at the preventative maintenance activities that are required on flow meter  instrumentation. It also considers the impact of not conducting such maintenance and the  importance of this maintenance as perceived by technical personnel responsible for the plant.    Through literature review, primary preventative maintenance activities are presented. All  these activities need to take place in order to keep instruments from failing abruptly in order  to avoid degradation, profit losses and to minimize downtime on the process plant. A survey  in the form of a questionnaire was distributed using snowball methodology. 101 technical  personal in three different industries across the SADC region responded to the questions.  Each participant indicated where they were from and they type of plant they worked on. The  participant’s responses also included if they conducted preventive maintenance proactively  or not, as well as the impact of not conducting such maintenance...M.Phil. (Engineering Management

A "DESIGN FOR AVAILABILITY" METHODOLOGY FOR SYSTEMS DESIGN AND SUPPORT

Prognostics and Health Management (PHM) methods are incorporated into systems for the purpose of avoiding unanticipated failures that can impact system safety, result in additional life cycle cost, and/or adversely affect the availability of a system. Availability is the probability that a system will be able to function when called upon to do so. Availability depends on the system's reliability (how often it fails) and its maintainability (how efficiently and frequently it is pro-actively maintained, and how quickly it can be repaired and restored to operation when it does fail). Availability is directly impacted by the success of PHM. Increasingly, customers of critical systems are entering into "availability contracts" in which the customer either buys the availability of the system (rather than actually purchasing the system itself) or the amount that the system developer/manufacturer is paid is a function of the availability achieved by the customer. Predicting availability based on known or predicted system reliability, operational parameters, logistics, etc., is relatively straightforward and can be accomplished using several methods and many existing tools. Unfortunately in these approaches availability is an output of the analysis. The prediction of system's parameters (i.e., reliability, operational parameters, and/or logistics management) to meet an availability requirement is difficult and cannot be generally done using today's existing methods. While determining the availability that results from a set of events is straightforward, determining the events that result in a desired availability is not. This dissertation presents a "design for availability" methodology that starts with an availability requirement and uses it to predict the required design, logistics and operations parameters. The method is general and can be applied when the inputs to the problem are uncertain (even the availability requirement can be represented as a probability distribution). The method has been demonstrated on several examples with and without PHM

Pengembangan Model Kebijakan Maintenance dengan Mempertimbangkan Perpanjangan Periode Lease

Harga beli dan biaya perawatan peralatan semakin mahal, sehingga perusahaan mempertimbangkan untuk lease peralatan daripada membelinya. Perpanjangan periode lease akan memberikan keuntungan lebih banyak, baik bagi pihak lessor (yang menyewakan) maupun pihak lessee (penyewa). Pada penelitian sebelumnya, perpanjangan periode lease ditawarkan pada awal kontrak. Bagi pihak lessee, model ini memiliki resiko dalam pembiayaan seperti ketidakpastian performansi peralatan dan tanggung jawab lessor. Oleh karena itu, penelitian ini mencoba untuk memodelkan kebijakan maintenance yang optimal dengan mempertimbangkan perpanjangan periode lease (extended lease) yang ditawarkan pada akhir masa kontrak. Tujuannya untuk menghilangkan resiko yang ada pada penelitian sebelumnya. Minimal repair dilakukan untuk memperbaiki peralatan gagal agar kembali ke kondisi operasional, sedangkan imperfect preventive maintenance untuk meningkatkan kondisi operasional peralatan ketika mencapai batas kontrol optimal agar terhindar dari kegagalan. Model matematika dibangun untuk menentukan batas kontrol, jumlah dan degree preventive maintenance, serta jumlah periode extended lease optimal. Pada bagian akhir, percobaan numerik diberikan untuk menunjukkan pengaruh panjang extended lease dan kebijakan maintenance dalam memaksimalkan keuntungan lessor. ================================================================= The purchase price and maintenance cost of the equipment are more expensive, thus the company considers to lease the equipment instead of purchase it. The lease period extension will provide more benefits for both the lessor (owner) and the lessee (user). In a previous research, the lease period extension was offered in the beginning of the contract. For the lessee, this model had some risks in finance, such as uncertainty of the equipment performance and lessor responsibility. Therefore, this research attemps to modelling the optimal maintenance policy by considering lease period extension (extended lease) that is offered in the ending of the contract. It aims to eliminate some risks in the previous research. Minimal repair is performed to rectify a failed equipment back to its operasional state, while imperfect preventive maintenance is conducted to improve the operasional state of the equipment when reaches a controlled limit to avoid failures. The mathematical model is constructed to determine the optimal controlled limit, number and degree of preventif maintenance, and number of extended lease period. Finally, numerical examples are given to illustrate the influences of the optimal length of the extend ed lease and the maintenance policy to maximize profit of the lessor

13th International Conference on Modeling, Optimization and Simulation - MOSIM 2020

Comité d’organisation: Université Internationale d’Agadir – Agadir (Maroc) Laboratoire Conception Fabrication Commande – Metz (France)Session RS-1 “Simulation et Optimisation” / “Simulation and Optimization” Session RS-2 “Planification des Besoins Matières Pilotée par la Demande” / ”Demand-Driven Material Requirements Planning” Session RS-3 “Ingénierie de Systèmes Basées sur les Modèles” / “Model-Based System Engineering” Session RS-4 “Recherche Opérationnelle en Gestion de Production” / "Operations Research in Production Management" Session RS-5 "Planification des Matières et des Ressources / Planification de la Production” / “Material and Resource Planning / Production Planning" Session RS-6 “Maintenance Industrielle” / “Industrial Maintenance” Session RS-7 "Etudes de Cas Industriels” / “Industrial Case Studies" Session RS-8 "Données de Masse / Analyse de Données” / “Big Data / Data Analytics" Session RS-9 "Gestion des Systèmes de Transport” / “Transportation System Management" Session RS-10 "Economie Circulaire / Développement Durable" / "Circular Economie / Sustainable Development" Session RS-11 "Conception et Gestion des Chaînes Logistiques” / “Supply Chain Design and Management" Session SP-1 “Intelligence Artificielle & Analyse de Données pour la Production 4.0” / “Artificial Intelligence & Data Analytics in Manufacturing 4.0” Session SP-2 “Gestion des Risques en Logistique” / “Risk Management in Logistics” Session SP-3 “Gestion des Risques et Evaluation de Performance” / “Risk Management and Performance Assessment” Session SP-4 "Indicateurs Clés de Performance 4.0 et Dynamique de Prise de Décision” / ”4.0 Key Performance Indicators and Decision-Making Dynamics" Session SP-5 "Logistique Maritime” / “Marine Logistics" Session SP-6 “Territoire et Logistique : Un Système Complexe” / “Territory and Logistics: A Complex System” Session SP-7 "Nouvelles Avancées et Applications de la Logique Floue en Production Durable et en Logistique” / “Recent Advances and Fuzzy-Logic Applications in Sustainable Manufacturing and Logistics" Session SP-8 “Gestion des Soins de Santé” / ”Health Care Management” Session SP-9 “Ingénierie Organisationnelle et Gestion de la Continuité de Service des Systèmes de Santé dans l’Ere de la Transformation Numérique de la Société” / “Organizational Engineering and Management of Business Continuity of Healthcare Systems in the Era of Numerical Society Transformation” Session SP-10 “Planification et Commande de la Production pour l’Industrie 4.0” / “Production Planning and Control for Industry 4.0” Session SP-11 “Optimisation des Systèmes de Production dans le Contexte 4.0 Utilisant l’Amélioration Continue” / “Production System Optimization in 4.0 Context Using Continuous Improvement” Session SP-12 “Défis pour la Conception des Systèmes de Production Cyber-Physiques” / “Challenges for the Design of Cyber Physical Production Systems” Session SP-13 “Production Avisée et Développement Durable” / “Smart Manufacturing and Sustainable Development” Session SP-14 “L’Humain dans l’Usine du Futur” / “Human in the Factory of the Future” Session SP-15 “Ordonnancement et Prévision de Chaînes Logistiques Résilientes” / “Scheduling and Forecasting for Resilient Supply Chains