Integrated multi-objective evolutionary optimization of production layout scenarios for parametric structural design of flexible industrial buildings

Reisinger, Julia; Zahlbruckner, Maria Antonia; Kovačić, Iva; Kán, Peter; Wang-Sukalia, Xi; Kaufmann, Hannes

doi:10.1016/j.jobe.2021.103766

Cited by 20 publications

(22 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study, the parametric production layout model is coupled to the structural design model through parametric modeling in Grasshopper for Rhino3D [46]. The integrated parametric production layout scenarios [37] serve as geometry and load constraints for building design. The computational framework of the POD model consists of a parametric model constructed in Grasshopper, which is based on the design space representation presented in [36].…”

Section: Methodology and Research Designmentioning

confidence: 99%

“…In Reisinger et al [36], the authors have already developed a parametric model for automated structural analysis and flexibility assessment of industrial buildings. In addition, to be able to consider changing production requirements on the building structure, a parametric framework for the multi-objective optimization of production layout scenarios, integrating flexibility and building criteria, has been developed [37]. The combination of the two proposed models into an evolved POD model framework for the automated assessment of the LCC, LCA, recycling potential and flexibility of industrial building structures, considering production layout planning, is the focus of this paper.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The main objective of the project is to create flexible and sustainable industrial buildings at an early design stage by coupling building and production planning processes and creating a holistic optimization and decision support platform for integrated industrial building design [35]. In previous research, the authors have already presented a parametric design process for structural optimization and flexibility assessment of industrial building structures [36] as well as a parametric framework for automated generation and optimization of production layout scenarios with the potential to be integrated in the parametric structural design process [37]. The research presented in this paper builds on the results of the research conducted in [8,36,37] and couples the models into the POD model framework for flexible andsustainable integrated industrial building design.…”

Section: Introductionmentioning

confidence: 99%

“…In previous research, the authors have already presented a parametric design process for structural optimization and flexibility assessment of industrial building structures [36] as well as a parametric framework for automated generation and optimization of production layout scenarios with the potential to be integrated in the parametric structural design process [37]. The research presented in this paper builds on the results of the research conducted in [8,36,37] and couples the models into the POD model framework for flexible andsustainable integrated industrial building design.…”

Section: Introductionmentioning

confidence: 99%

“…Production model integrating parametric production layout scenarios [37] as geometry and load requirements and constraints for the POD model.…”

mentioning

confidence: 99%

See 4 more Smart Citations

Parametric Optimization and Decision Support Model Framework for Life Cycle Cost Analysis and Life Cycle Assessment of Flexible Industrial Building Structures Integrating Production Planning

et al. 2022

Self Cite

View full text Add to dashboard Cite

Most industrial buildings have a very short lifespan due to frequently changing production processes. The load-bearing structure severely limits the flexibility of industrial buildings and is a major contributor to their costs, carbon footprint and waste. This paper presents a parametric optimization and decision support (POD) model framework that enables automated structural analysis and simultaneous calculation of life cycle cost (LCC), life cycle assessment (LCA), recycling potential and flexibility assessment. A method for integrating production planning into early structural design extends the framework to consider the impact of changing production processes on the footprint of building structures already at an early design stage. With the introduction of a novel grading system, design teams can quickly compare the performance of different building variants to improve decision making. The POD model framework is tested by means of a variant study on a pilot project from a food and hygiene production facility. The results demonstrate the effectiveness of the framework for identifying potential economic and environmental savings, specifying alternative building materials, and finding low-impact industrial structures and enclosure variants. When comparing the examined building variants, significant differences in the LCC (63%), global warming potential (62%) and flexibility (55%) of the structural designs were identified. In future research, a multi-objective optimization algorithm will be implemented to automate the design search and thus improve the decision-making process.

show abstract

Section: Methodology and Research Designmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%