A life-cycle approach for multi-objective optimisation in building design: methodology and application to a case study

2018 ◽  
Vol 35 (1-4) ◽  
pp. 158-179
Author(s):  
Emanuele Bonamente ◽  
Cristina Brunelli ◽  
Francesco Castellani ◽  
Alberto Garinei ◽  
Lorenzo Biondi ◽  
...  
2017 ◽  
Vol 143 ◽  
pp. 1021-1035 ◽  
Author(s):  
Sudip Kumar Pal ◽  
Atsushi Takano ◽  
Kari Alanne ◽  
Matti Palonen ◽  
Kai Siren

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oscar Daniel Rivera Baena ◽  
Maria Valentina Clavijo Mesa ◽  
Carmen Elena Patino Rodriguez ◽  
Fernando Jesus Guevara Carazas

PurposeThis paper aims to determine the stage of the life cycle where the trucks of a waste collection fleet from a Colombian city are located through a reliability approach. The reliability analysis and the evaluation of curve of operational costs allow to know the moment in which it is necessary to make decisions regarding an asset, its maintenance or possible replacement.Design/methodology/approachFor a dataset presented as maintenance work orders, the time to failures (TTFs) for each vehicle in the fleet were calculated. Then, a probability density function for those TTFs was fitted to locate each vehicle in a region of the bathtub curve and to calculate the reliability of the whole fleet. A general functional analysis was also developed to understand the function of the vehicles.FindingsIt was possible to determine that the largest proportion of the fleet was in the final stage of the life cycle, in this sense, the entire fleet represent critical assets which in most of cases could be worth replacement or overhaul.Originality/valueIn this study, an address is exposed for the identification of critical equipment by reliability and statistical analysis. This analysis is also integrated with the maintenance management process. This is a broadly interested topic since it allows to support the maintenance and operational decision-making process, indicating the focus of resource allocation all over the entire asset life cycle.


2016 ◽  
Vol 37 (3) ◽  
pp. 136-148 ◽  
Author(s):  
Gerald Beasley ◽  
Trish Rosseel

Purpose – The purpose of this paper is to present a case study that considers the links between cost avoidance, lean design, and sustainability in relation to two different library projects at University of Alberta Libraries (UAL) – the design of the Research and Collections Resource Facility and the development of new fee-based library services at UAL’s John W. Scott Health Sciences Library. Design/methodology/approach – This case study describes the analysis of each project’s workflows in relation to lean design in order to enhance processes and service delivery. Findings – Findings to date in both of these ongoing projects suggest that consideration of the lean philosophy has already led to process and service improvements. With regard to the new building design project, revised task design is already resulting in significant savings in staff time, and work space. And the staffing model for fee-based specialized services has already been redesigned, an alignment with lean principles. Research limitations/implications – While this paper does discuss and define lean design, it does not provide a comprehensive summary of research in this area. Originality/value – This paper highlights the value of lean design as a framework for designing, developing, and reviewing academic library buildings, services, processes, and workflows to ensure they are sustainable.


2017 ◽  
Vol 21 ◽  
pp. 581-586 ◽  
Author(s):  
Raluca Dania Todor ◽  
Mircea Horne Horneț ◽  
Nicolae Fani Iordan

In the context of increasing concerns for sustainable development new comprehensive methods are developed by builders and architects in order to reduce the environmental impact of buildings. Life Cycle Cost Analysis (LCCA) is one of these methods, perhaps the most functional one for the evaluation process. Using this LCCA contributes to the integration of the design process and helps identify opportunities for energy efficiency, such as appropriate zoning, natural lighting and design optimization of heating, ventilation and air conditioning (HVAC). It also helps in finding the best solutions for reducing overall costs. LCCA is very little known in Romania and quasi unused practice for building design and for this reason the present paper contains a broad overview of the methodology and it’s uses highlighting its main advantages and a case study of the building design intended for laboratory research. The analyzed building is one of the 12 identical buildings of Transilvania University Research and Development Institute from Brasov.


2010 ◽  
Vol 18 (4) ◽  
pp. 299-306 ◽  
Author(s):  
Antonio Scipioni ◽  
Michele Mastrobuono ◽  
Anna Mazzi ◽  
Alessandro Manzardo

2016 ◽  
Vol 18 (2/3) ◽  
pp. 137 ◽  
Author(s):  
Vanajah Siva ◽  
Ida Gremyr ◽  
Hendry Raharjo ◽  
Bolennarth Svensson

2019 ◽  
Vol 11 (1) ◽  
pp. 286 ◽  
Author(s):  
Marcus Sandberg ◽  
Jani Mukkavaara ◽  
Farshid Shadram ◽  
Thomas Olofsson

Virtual design tools and methods can aid in creating decision bases, but it is a challenge to balance all the trade-offs between different disciplines in building design. Optimization methods are at hand, but the question is how to connect and coordinate the updating of the domain models of each discipline and centralize the product definition into one source instead of having several unconnected product definitions. Building information modelling (BIM) features the idea of centralizing the product definition to a BIM-model and creating interoperability between models from different domains and previous research reports on different applications in a number of fields within construction. Recent research features BIM-based optimization, but there is still a question of knowing how to design a BIM-based process using neutral file formats to enable multidisciplinary optimization of life-cycle energy and cost. This paper proposes a framework for neutral BIM-based multidisciplinary optimization. The framework consists of (1) a centralized master model, from which different discipline-specific domain models are generated and evaluated; and (2) an optimization algorithm controlling the optimization loop. Based on the proposed framework, a prototype was developed and used in a case study of a Swedish multifamily residential building to test the framework’s applicability in generating and optimizing multiple models based on the BIM-model. The prototype was developed to enhance the building’s sustainability performance by optimizing the trade-off between the building’s life-cycle energy (LCE) and life-cycle cost (LCC) when choosing material for the envelope. The results of the case study demonstrated the applicability of the framework and prototype in optimizing the trade-off between conflicting objectives, such as LCE and LCC, during the design process.


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