Comparative study on the effectiveness of building maintenance scheduling between two multipurpose hall buildings

Buildings maintenance is very important for the building and building occupants. Maintenance is a service to make sure the performance of the building in good condition throughout its design life. It is very much needed so we can have very good environment that can help us do our work peacefully. Occupants demand to have priority in terms of comfort of ability to use and utilise the facilities and services as it must be fit for purpose of the user. Work productivity of workers may be demotivated and interrupted due to poor building facilities conditions. In order to prevent that, we have to make sure the building maintenance scheduling are well prepared and followed. This study is about comparative study on the effectiveness of building maintenance scheduling between two multipurpose hall buildings. The objectives of the case study are to investigate the procedure of building maintenance scheduling for the buildings, compare the maintenance scheduling approach between the two multipurpose hall buildings and suggest the best method to practice in the development of building maintenance. This investigation will be carried out through field study and interview from both building. At the end of this study, the data for analysis from the interview have been gathered and it shows that both building are using the same maintenance approaches. Discussion has been explained to provide the comparison for the effectiveness of building maintenance scheduling for both building. Both buildings had made improvement in the building to overcome the building defects and increase the building performance. The buildings have been properly maintain in order to keep it well perform. Some recommendations have been suggested for the future used in having effective building maintenance scheduling. The results from this study are the effectiveness of building maintenance scheduling for both multipurpose buildings have been properly studied and investigated

Autonomic Management of Maintenance Scheduling in Chord

This paper experimentally evaluates the effects of applying autonomic management to the scheduling of maintenance operations in a deployed Chord network, for various membership churn and workload patterns. Two versions of an autonomic management policy were compared with a static configuration. The autonomic policies varied with respect to the aggressiveness with which they responded to peer access error rates and to wasted maintenance operations. In most experiments, significant improvements due to autonomic management were observed in the performance of routing operations and the quantity of data transmitted between network members. Of the autonomic policies, the more aggressive version gave slightly better results

Power plant preventive maintenance scheduling problem: a 0/1 mixed integer linear programming approach based on cost and reliability to establish an effective policy

The problem addressed is the Power Plant Preventive Maintenance Scheduling. The problem is taken from the power industry and it requires determining the perioThis paper addresses the Power Plant Preventive Maintenance Scheduling Problem. The problem is taken from the power industry, where providing electric energy to the consumers without interruption is of high importance. This problem is usually treated in the long-term exploitation of electric production systems. It requires determining the period for which generating units of an electric power utility should be taken offline for planned preventive maintenance over a time horizon, usually on a yearly basis. The objective is to minimize the total operating cost while a set of constraints is satisfied, with emphasis on realiability.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Advanced periodic maintenance scheduling methods for aircraft lifecycle management

This paper reviews existing methods and techniques addressing the problem of maintenance support throughout the life cycle for high value manufacturing products such as aircrafts. As part of this doctorate research the analysis of current methods of maintenance scheduling was conducted. In order to contribute to a more comprehensive solution, an advanced approach (algorithm) of periodic maintenance is presented. The authors believe that this approach will reduce the cost of maintenance of high value manufacturing products. The algorithm based on constraint programming methods is briefly presented and the future research directions are discussed

Generator maintenance scheduling

Διπλωματική εργασία--Πανεπιστήμιο Μακεδονίας, Θεσσαλονίκη, 2019.The ongoing Electricity markets restructuring on a global scale, shifted much attention from centralized and in particular small isolated systems, typically found in islands. It is true that such systems, mainly run on liquid fuel Gensets, if not interconnected to some major grid may ever exhibit investment interest. As a result, many utilities constantly struggle while others due to fuel cost and the ever-increasing emission control restrictions, are near the verge to collapse. It is this necessity that actually urges for optimal managerial practices to exploit the last penny spent until-if ever, all these resource guzzling Gensets reach their retirement age. In this thesis we respect a realistic power plant feeding the tourist industry of an island. A 0/1 MILP formulation enables to accurately account for operation, maintenance and reliability status cost, providing in practical time a palette full of decision options. System demand is allocated in classes whereas the overall proposed reliability approach renders any chosen optimal schedule easily implemented in practice

Clustering and scheduling maintenance tasks over time

We report results on a maintenance scheduling problem. The problem consists of allocating maintenance task instances to and scheduling the performances of a suitable number of maintenance packages. The number of maintenance packages is not fixed, nor is, in general, the dates or durations of their performances. A constraint programming (CP) model and solver for the problem is presented together with preliminary computational results

Multi-criteria short-term maintenance outage scheduling in smart distribution systems

Effective legislation and standards for the coordination procedures between consumers, producers and the system operator supports the advances in the technologies that lead to smart distribution systems. In short-term (ST) maintenance scheduling procedure, the energy producers in a distribution system access to the long-term (LT) outage plan that is released by the distribution system operator (DSO). The impact of this additional information on the decision-making procedure of producers in ST maintenance scheduling is studied in this paper. The final ST maintenance plan requires the approval of the DSO that has the responsibility to secure the network reliability and quality, and other players have to follow the finalized schedule. Maintenance scheduling in the producers’ layer and the coordination procedure between them and the DSO is modelled in this paper. The proposed method is applied to a 33-bus distribution system

Optimising airline maintenance scheduling decisions

Airline maintenance scheduling (AMS) studies how plans or schedules are constructed to ensure that a fleet is efficiently maintained and that airline operational demands are met. Additionally, such schedules must take into consideration the different regulations airlines are subject to, while minimising maintenance costs. In this thesis, we study different formulations, solution methods, and modelling considerations, for the AMS and related problems to propose two main contributions. First, we present a new type of multi-objective mixed integer linear programming formulation which challenges traditional time discretisation. Employing the concept of time intervals, we efficiently model the airline maintenance scheduling problem with tail assignment considerations. With a focus on workshop resource allocation and individual aircraft flight operations, and the use of a custom iterative algorithm, we solve large and long-term real-world instances (16000 flights, 529 aircraft, 8 maintenance workshops) in reasonable computational time. Moreover, we provide evidence to suggest, that our framework provides near-optimal solutions, and that inter-airline cooperation is beneficial for workshops. Second, we propose a new hybrid solution procedure to solve the aircraft recovery problem. Here, we study how to re-schedule flights and re-assign aircraft to these, to resume airline operations after an unforeseen disruption. We do so while taking operational restrictions into account. Specifically, restrictions on aircraft, maintenance, crew duty, and passenger delay are accounted for. The flexibility of the approach allows for further operational restrictions to be easily introduced. The hybrid solution procedure involves the combination of column generation with learning-based hyperheuristics. The latter, adaptively selects exact or metaheuristic algorithms to generate columns. The five different algorithms implemented, two of which we developed, were collected and released as a Python package (Torres Sanchez, 2020). Findings suggest that the framework produces fast and insightful recovery solutions

A model based on cost minimization and reliability enhancement to solve the power plant preventive maintenance scheduling problem

1. Introduction and problem description The Power Plant Preventive Maintenance Scheduling Problem (PPPMSP) requires determining the period for which generating units of an electric power system should be taken offline for planned preventive maintenance over a time horizon. The research performed here encompasses a wide range of power plants: thermal, nuclear, hydroelectric, and wind power plants. 2. Model formulation and methodology The PPPMSP is a complex optimization problem. Objectives such as total cost minimization and consecution of a certain reliability level are proposed by imposing an objective function and satisfying a set of constraints. This problem is categorized as a 0/1 mixed integer linear programming problem. Its resolution involves the use of an optimiser. 3. Application example and findings An example based on a high-dimensioned realistic power system was undertaken to validate the model. The findings demonstrate that the model works correctly. 4. Conclusions a) Several costs are integrated. b) Different power plants were considered. c) A wide variety of constraints is included. d) The results could be useful if they are applied to other realistic cases. 5. References Ben-Daya, M., Duffuaa, S.O., Raouf A. (Eds), (2000). Maintenance, Modeling and Optimization. Kluwer, Boston. Ekpenyong, U.E., Zhang, J., Xia, X. (2012). “An improved robust model for generator maintenance scheduling”. Electric Power Systems Research. 92, 29-36.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech