An integrated space-based building maintenance management model using multi-objective optimization

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Huthaifa AL-Smadi ◽  
Abobakr Al-Sakkaf ◽  
Tarek Zayed ◽  
Fuzhan Nasiri
Keyword(s):  
Residential Buildings ◽  
Maintenance Cost ◽  
Content Type ◽  
Fund Allocation ◽  
Building Maintenance ◽  
Window System ◽  
Optimal Maintenance ◽  
Building Condition ◽  
Maintenance Model

PurposeThe purpose of this study is to minimize cost and minimize building condition. Weibull distribution approach was employed to generate deterioration curves over time. The third floor of Concordia University’s Engineering And Visual Arts (EV) Complex in Montreal, Canada, served as a case study to test the maintenance model and determine the optimal maintenance activities to be performed.Design/methodology/approachThis research has demonstrated that there is insufficient fund allocation for the maintenance of non-residential buildings. Therefore, this research focused on designing and developing a maintenance optimization model that provides the type of spaces (architectural system) in a building. Sensitivity analysis was used to calculate weights to validate the model. Particle swarm optimization, based explicitly on multiple objectives, was applied for the optimization problem using MATLAB.FindingsFollowing 100 iterations, 13 non-dominant solutions were generated. Not only was the overall maintenance cost minimized, but the condition of the building was also maximized. Moreover, the condition prediction model demonstrated that the window system type has the most rapid deterioration in educational buildings.Originality/valueThe model is flexible and can be modified by facility managers to align with the required codes or standards.

Imperfect maintenance model for estimating aircraft fleet availability

2017 ◽  
Vol 89 (2) ◽  
pp. 338-346 ◽  
Author(s):  
Aleksandar Knezevic ◽  
Ljubisa Vasov ◽  
Slavisa Vlacic ◽  
Cedomir Kostic
Keyword(s):  
Intermediate Level ◽  
Imperfect Maintenance ◽  
Maintenance Policy ◽  
Content Type ◽  
Reliability Parameters ◽  
Optimal Maintenance ◽  
Maintenance Policies ◽  
Optimal Maintenance Policy ◽  
Maintenance Model

Purpose The purpose of this paper is to define conditions under which improved availability of fleet of G-4 jet trainers is obtained, and optimization of intermediate-level maintenance through imperfect maintenance model application. This research has been conducted based on available knowledge, and experience gained by performing intermediate-level maintenance of Serbian Air Force aircrafts. Design/methodology/approach Analysis of the data collected from daily maintenance reports, and the analysis of maintenance technology and organization, was performed. Based on research results, a reliability study was performed. Implementation of imperfect maintenance with its models of maintenance policies (especially a quasi-renewal process and its treating of reliability and optimal maintenance) was proposed to define new maintenance parameters so that the greater level of availability could be achieved. Findings The proposed methodology can potentially be applied as a simple tool to estimate the present maintenance parameters and to quickly point out some deficiencies in the analyzed maintenance organization. Validation of this process was done by conducting a reliability case study of G-4 jet trainer fleet, and numerical computations of optimal maintenance policy. Research limitations/implications The methodology of the availability estimation when reliability parameters were not tracked by the maintenance organization, and optimization of intermediate-level maintenance, has so far been applied on G-4 jet trainers. Moreover, it can be potentially applied to other aircraft types. Originality/value Availability estimation and proposed optimization of intermediate maintenance is based on a survey of data for three years of aircraft fleet maintenance. It enables greater operational readiness (due to a military rationale) with possible cost reduction as a consequence but not as a goal.

scholarly journals DECISION-MAKING MODEL SUPPORTING THE PROCESS OF PLANNING EXPENDITURES FOR RESIDENTIAL BUILDING RENOVATION

2018 ◽  
Vol 24 (3) ◽  
pp. 1200-1214 ◽  
Author(s):  
Robert BUCOŃ ◽  
Michał TOMCZAK
Keyword(s):  
Decision Making ◽  
Residential Buildings ◽  
Residential Building ◽  
Point Of View ◽  
Existing Buildings ◽  
Suggested Model ◽  
Building Maintenance ◽  
Building Assessment ◽  
Decision Making Model ◽  
Building Condition

The problem of multi-family building maintenance is complex and comprises numerous issues, one of which is the process of planning expenditures for residential building renovation. This task is important from the manager’s point of view as their responsibility is to maintain a building in a non-deteriorated condition. To fulfil this task, the authors of this paper suggest utilising a decision-making model aimed at defining renovation activities making it possible to retain the maintenance standard (as regards newly commissioned residential buildings) or improve it (as regards existing buildings). The suggested model is based on a multi-criteria building assessment including seven requirements. The calculations conducted using the suggested model enable us to define the costs and scope of renovation taken to ensure the assumed building condition or, by assuming various rates paid to the renovation reserve, to define the period in which the above-mentioned goals may be achieved.

The institutional challenges of scaling-up housing retrofit: the Swiss cities of Basel and Sion

Facilities ◽  
2019 ◽  
Vol 37 (11/12) ◽  
pp. 780-798
Author(s):  
Arian Mahzouni
Keyword(s):  
Built Environment ◽  
Energy Supply ◽  
Alternative Energy ◽  
Residential Buildings ◽  
Energy Transition ◽  
Scaling Up ◽  
Housing System ◽  
Content Type ◽  
Wide Range

Purpose This paper aims to discuss the nexus between two societal (sub) systems of housing and energy supply to shed new light on the key institutional barriers to socio-technical energy transition in the built environment. The key research question is to explore if and how key patterns of institutional elements associated with energy retrofit and energy supply are combined, co-evolved and played out in the housing system, leading to an alternative energy transition pathway in the built environment. Design/methodology/approach A comparative case study of residential buildings in the Swiss cities of Basel and Sion is conducted to map retrofitting policies and practices in a wide range of buildings (e.g. multi-family and single family) that each requires a particular constellation of institutions, actors and artefacts. Findings The key finding is that the regulative institutions support energy transition in each urban form/housing type. However, the co-evolution with normative and cultural-cognitive institutions does not play out very clearly in the housing system. One reason is that the norms and cultures are deeply rooted in the practices exercised by business community and households and therefore they need a longer time frame to adapt to a new regulation. Research limitations/implications The policies and actions to increase the rate of housing retrofit are discussed in the specific socio-political context of Switzerland. Therefore, the results of this study might not be applied in other contexts with different conditions, limiting the possibility for analytical generalization. The case study can generate only context-specific knowledge, which might be valuable only to cities with similar conditions. This paper addresses theoretical, methodological and policy challenges in scaling-up retrofit projects by taking a holistic and integrated approach to the systems of housing and energy supply. Practical implications It would have been necessary to find out how the introduction and enforcement of new energy policies and regulations (regulative institutions) have changed the norms and building practices (normative institutions) used by actors from housing industry and the attitudes and energy consumption behaviour of the households (cultural-cognitive institutions). Nevertheless, information about normative and cultural-cognitive institutions require more primary data in the form of interviews with organizations and households, respectively, which goes beyond the scope and resources of this study. Originality/value Insights from different strands of literature (institutions and sustainability transition) are combined to understand if and how retrofitting practices go along with other elements of urban sustainability including architectural, technical, socio-cultural and economic factors.

Sustainability and cost assessment of coastal vacation homes for energy retrofits

2017 ◽  
Vol 7 (2) ◽  
pp. 185-198 ◽  
Author(s):  
Kamalesh Panthi ◽  
Kanchan Das ◽  
Tarek Abdel-Salam
Keyword(s):  
Energy Use ◽  
Energy Savings ◽  
Residential Buildings ◽  
Building Envelope ◽  
Energy Usage ◽  
Water Heater ◽  
Content Type ◽  
Modeling Software ◽  
Energy Use Intensity

Purpose Vacation rental homes, in general, have different energy usage characteristics than traditional residential homes mainly because of the occupancy pattern that changes on a weekly basis. These homes, predominantly larger in size, offer a greater scope for energy savings also because of the wasteful habits of their seasonal occupants. The purpose of this paper is to investigate the causes of energy inefficiencies prevalent in these homes so that appropriate retrofit choices can be offered to homeowners. Design/methodology/approach This research presents a case study of a vacation rental home whose energy consumption was investigated in depth and energy inefficiencies identified through modeling using energy modeling software, eQUEST. Simulations were performed to identify viable retrofit scenarios. Findings While improvement in the building envelope such as providing shades/overhangs on the windows, reducing infiltration and increasing insulation of the exterior wall did not show promising results for savings on energy cost, other improvements such as use of highly efficient lamps, tank-less water heater system and occupancy sensors showed viable investment options with shorter payback periods. It was also found that energy use intensity of sampled houses was about half of the average of US residential buildings, which could primarily be attributed to the seasonal nature of occupancy of these houses. Originality/value There is a dearth of literature pertaining to energy efficiency-related retrofits of coastal vacation homes. This research fills that gap to some extent by addressing this issue with an ultimate aim of assisting homeowners in retrofit decision-making.

scholarly journals Adaptive decision support for suggesting a machine tool maintenance strategy

2018 ◽  
Vol 24 (3) ◽  
pp. 376-399 ◽  
Author(s):  
Abubaker Shagluf ◽  
Simon Parkinson ◽  
Andrew Peter Longstaff ◽  
Simon Fletcher
Keyword(s):  
Decision Support ◽  
Machine Tool ◽  
Cost Estimation ◽  
Expert Knowledge ◽  
Production Costs ◽  
Maintenance Cost ◽  
Maintenance Strategy ◽  
Content Type ◽  
Machine Tool Accuracy

Purpose The purpose of this paper is to produce a decision support aid for machine tool owners to utilise while deciding upon a maintenance strategy. Furthermore, the decision support tool is adaptive and capable of suggesting different strategies by monitoring for any change in machine tool manufacturing accuracy. Design/methodology/approach A maintenance cost estimation model is utilised within the research and development of this decision support system (DSS). An empirical-based methodology is pursued and validated through case study analysis. Findings A case study is provided where a schedule of preventative maintenance actions is produced to reduce the need for the future occurrences of reactive maintenance actions based on historical machine tool accuracy information. In the case study, a 28 per cent reduction in predicted accuracy-related expenditure is presented, equating to a saving of £14k per machine over a five year period. Research limitations/implications The emphasis on improving machine tool accuracy and reducing production costs is increasing. The presented research is pioneering in the development of a software-based tool to help reduce the requirement on domain-specific expert knowledge. Originality/value The paper presents an adaptive DSS to assist with maintenance strategy selection. This is the first of its kind and is able to suggest a preventative strategy for those undertaking only reactive maintenance. This is of value for both manufacturers and researchers alike. Manufacturers will benefit from reducing maintenance costs, and researchers will benefit from the development and application of a novel decision support technique.

Enhancing building maintenance cost performance with proper management of spare parts

2016 ◽  
Vol 22 (1) ◽  
pp. 51-61 ◽  
Author(s):  
Cheong Peng Au-Yong ◽  
Azlan Shah Ali ◽  
Faizah Ahmad
Keyword(s):  
Regression Analysis ◽  
Ad Hoc ◽  
Descriptive Analysis ◽  
Spare Parts ◽  
Maintenance Cost ◽  
Cost Performance ◽  
Content Type ◽  
Building Maintenance ◽  
Spare Parts Management ◽  
The Relationship

Purpose – Scheduled building maintenance requires appropriate and adequate spare parts to replace existing parts on a regular basis. Management of spare parts is seen as an important criterion to ensure the efficiency of scheduled maintenance. The purpose of this paper is to identify the contributors of spare parts management and investigate the relationship between these contributors and maintenance cost performance. Design/methodology/approach – This research adopted a quantitative approach, which utilised questionnaire surveys to study the relationship between the contributors of spare parts management and maintenance cost performance. The data were analysed through descriptive analysis, correlation, and regression analysis. Additionally, a case study was examined to validate the results obtained from the survey. Findings – The results of this research demonstrated that the quality of spare parts (QSP), budget allocation for acquisition of spare parts, and level of stocks were significantly correlated to the maintenance cost variance (MCV). Moreover, the results of the regression analysis indicated that the QSP was the significant predictor of MCV. Originality/value – This research highlights the importance of spare parts management in building maintenance. It recommends that maintenance management set up a spare parts management department for updating stocks frequently. Meanwhile, the management should avoid ad-hoc acquisition of spare parts, as this is always more expensive. The management should also select spare parts based on quality instead of lowest cost. In addition, building managers should also apply the developed regression model in practice to predict and improve maintenance performance.

scholarly journals Comparative case study research: an international analysis of nine home warranty schemes

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sebastien Royal ◽  
Nadia Lehoux ◽  
Pierre Blanchet
Keyword(s):  
Residential Buildings ◽  
Case Study Research ◽  
Optimal Solution ◽  
Individual Case ◽  
Academic Community ◽  
Comparative Case Study ◽  
Content Type ◽  
Study Research ◽  
South Wales

PurposeConstruction defects in residential buildings are causing significant impacts both on consumers and the industry. As a consequence, several countries have established new home warranty schemes. However, designing a public policy for domestic building warranties can become a difficult task. In fact, many of these programs in the past have failed, collapsed or gone bankrupt. Therefore, the purpose of the current research is to provide a systematic comparative representation of various active programs internationally.Design/methodology/approachThe methodology relied on a multiple-case study research design. The case selection covered a total of nine jurisdictions with compulsory home warranty programs. Those included Japan, France, United Kingdom, three provinces in Canada (Ontario, British Columbia and Alberta), and three states in Australia (New South Wales, Victoria and Queensland). The study applied a data collection protocol to gather all the evidence in a replicable manner for each individual case. Subsequently, a cross-case analysis was conducted to identify similarities and variations between programs.FindingsThe findings unveiled institutional practices that aimed to resolve, compensate, or rectify defects in residential constructions within these countries. The review mostly suggested that every home warranty program presents certain unique characteristics. At the end, this paper proposed an analytical illustration representing the diversification of components adopted by each jurisdiction.Originality/valueNowadays, there is still not a consensus within the academic community on what is an optimal solution when conceiving a new home warranty program. Hence, the current study aims to fill this knowledge gap by presenting the plurality of methods employed by several countries. This paper seeks to help policy makers and industry leaders to improve their home warranty scheme based on awareness derived from observations and analyses of what has been accomplished elsewhere in the world.

scholarly journals Assessing building performance in residential buildings using BIM and sensor data

2019 ◽  
Vol 38 (1) ◽  
pp. 176-191 ◽  
Author(s):  
Kay Rogage ◽  
Adrian Clear ◽  
Zaid Alwan ◽  
Tom Lawrence ◽  
Graham Kelly
Keyword(s):  
Energy Use ◽  
Housing Stock ◽  
Residential Buildings ◽  
Performance Data ◽  
Sensor Data ◽  
Building Performance ◽  
Content Type ◽  
Building Maintenance ◽  
Building Management ◽  
Building Information

Purpose Buildings and their use is a complex process from design to occupation. Buildings produce huge volumes of data such as building information modelling (BIM), sensor (e.g. from building management systems), occupant and building maintenance data. These data can be spread across multiple disconnected systems in numerous formats, making their combined analysis difficult. The purpose of this paper is to bring these sources of data together, to provide a more complete account of a building and, consequently, a more comprehensive basis for understanding and managing its performance. Design/methodology/approach Building data from a sample of newly constructed housing units were analysed, several properties were identified for the study and sensors deployed. A sensor agnostic platform for visualising real-time building performance data was developed. Findings Data sources from both sensor data and qualitative questionnaire were analysed and a matrix of elements affecting building performance in areas such as energy use, comfort use, integration with technology was presented. In addition, a prototype sensor visualisation platform was designed to connect in-use performance data to BIM. Originality/value This work presents initial findings from a post occupancy evaluation utilising sensor data. The work attempts to address the issues of BIM in-use scenarios for housing sector. A prototype was developed which can be fully developed and replicated to wider housing projects. The findings can better address how indoor thermal comfort parameters can be used to improve housing stock and even address elements such as machine learning for better buildings.

Maintenance policy selection model – a case study in the palm oil industry

2014 ◽  
Vol 25 (3) ◽  
pp. 415-435 ◽  
Author(s):  
Siew-Hong Ding ◽  
Shahrul Kamaruddin ◽  
Ishak Abdul Azid
Keyword(s):  
Palm Oil ◽  
Selection Process ◽  
Oil Industry ◽  
Second Phase ◽  
Maintenance Policy ◽  
Content Type ◽  
Policy Selection ◽  
Optimal Maintenance ◽  
Optimal Maintenance Policy

Purpose – An optimal maintenance policy is key to the improvement of the availability and reliability of a system at an acceptable level without a significant increase in investment. However, the selection process is a complicated task because it requires in-depth knowledge on maintenance policies and on the technical requirements of maintenance. The difficulties and complexity of the selection process arise from the combination of conflicting maintenance constraints such as available spares, size of workforce, and maintenance skills. The paper aims to discuss these issues. Design/methodology/approach – The proposed maintenance policy selection (MPS) model is separated into three major phases. The first phase identifies the critical system (CS) based on failure frequency. The failure mechanism in the CS is then analyzed by using a failure mode and effect analysis in the second phase. In the third phase, a multi-criteria decision making method, called the technique for order of preference by similarity to ideal solution, is adopted to identify an optimal maintenance policy that can minimize the failures. Findings – Through a case study, preventive maintenance was selected as the optimal maintenance policy for the reduction of system failures. The results obtained from the case study not only provide evidence of the feasibility and practicability of the developed model, but also test the acceptability and rationale of the developed model from the industry perspective. Valuable knowledge and experience from employees were extracted and utilized through the proposed model to rank the optimal maintenance policy based on the capability to reduce failure. Originality/value – The practicality of the MPS model is justified through an implementation in the palm oil industry. The application of the MPS model can also be extended to other manufacturing industries.

An evaluation of preventive maintenance framework in an Italian manufacturing company

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kaustav Kundu ◽  
Fabiana Cifone ◽  
Federica Costa ◽  
Alberto Portioli-Staudacher ◽  
Matteo Rossini
Keyword(s):  
Preventive Maintenance ◽  
Management Plan ◽  
Added Value ◽  
Content Type ◽  
Starting Point ◽  
Manufacturing Company ◽  
World Class ◽  
Maintenance Model ◽  
First Time

PurposeThe purpose of this paper is to provide the description of an original framework for maintenance management plan development. The research aims to use in an integrated way different World Class Manufacturing (WCM)-based tools, in order to obtain a model which can be used for preventive maintenance in different industrial contexts.Design/methodology/approachIn this research, a conceptual framework of preventive maintenance was described and then it was evaluated through a qualitative study in an Italian company. The company was chosen based on an initial interview with the operations team and the model area was selected. Then, the location was reorganized in order to obtain a green field which could sustain the implementation of the framework tools.FindingsThe case study was carried out in a small-medium manufacturing company which produces quick-release couplings and multiconnections, ranging from medium to ultra-high pressure. The defined framework has proved to be easy to implement in a company with a corrective maintenance plan, allowing the maintenance department to embrace the preventive maintenance culture. The maintenance model has been well received from the employees.Practical implicationsThe framework allows a standardization of maintenance plans. Firstly, the standardization design itself allows finding previous wastes and consequent improvement areas. Then, it brings the improvement of a single machine which impacts all other machines in its family.Originality/valueThe added value of this study is the ability to integrate different WCM-based tools. Since the framework depicts a step-by-step process; it is also a starting point for companies that want to approach preventive maintenance for the first time.

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