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Conference Paper: Modelling and analysis of two production solutions for precast concrete elements: A petri-nets approach
Title | Modelling and analysis of two production solutions for precast concrete elements: A petri-nets approach |
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Authors | |
Keywords | Precast concrete Production Stochastic Petri nets Modelling Prefabrication |
Issue Date | 2017 |
Publisher | Tongji University, University of Alberta, Modular Building Institute, USA. The Proceedings' web site is located at https://www.mocsummit.com/proceedings/ |
Citation | Proceedings of 2017 Modular and Offsite Construction Summit the 2nd International Symposium on Industrialized Construction Technology (2017 MOC & ISICT’17), Shanghai, China, 10-12 Novermber 2017, p. 118-126 How to Cite? |
Abstract | The adoption of precast concrete construction has been increasingly emphasised globally, due
to its advancements in productivity, waste management, cost control, quality and safety. Meanwhile, the
production solutions differ greatly in the off-site plants in terms of traditional stationary production and
modern circulation production with different levels of automation. Practical cases show that improper
selection or upgrade of production solution could lead to resource slack or even business failure, and
there is limited knowledge to quantitively support the decision making. Furthermore, existing works
seldom dig deep into the fundamental setup of the production plant, and reckon without the stochasticity
and variability of production operation. Therefore, this paper aims to develop an analytical model to
facilitate the understanding of the production solutions of precast concrete elements, which should
further support the decision making in factory planning or upgrade towards increased level of
automation. Stochastic Petri-nets approach has been applied, with stochastic features embraced, to
graphically modelled stationary and circulation solutions. Simulation and comparative performance
analysis was conducted with a numerical case study. Results demonstrate that stationary solution can
achieve even higher outputs during production period provided that enough resources are given, whilst
circulation solution has a more flexible and stable production. |
Description | Parallel Session II:Prefabricated Concrete Buildings Organized by Tongji University National Engineering Technology Research Center for Prefabrication Construction in Civil Engineering, China; University of Alberta, Canada; Modular Building Institute, USA |
Persistent Identifier | http://hdl.handle.net/10722/262023 |
DC Field | Value | Language |
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dc.contributor.author | Pan, M | - |
dc.contributor.author | Yang, Y | - |
dc.contributor.author | Pan, W | - |
dc.date.accessioned | 2018-09-28T04:52:08Z | - |
dc.date.available | 2018-09-28T04:52:08Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Proceedings of 2017 Modular and Offsite Construction Summit the 2nd International Symposium on Industrialized Construction Technology (2017 MOC & ISICT’17), Shanghai, China, 10-12 Novermber 2017, p. 118-126 | - |
dc.identifier.uri | http://hdl.handle.net/10722/262023 | - |
dc.description | Parallel Session II:Prefabricated Concrete Buildings | - |
dc.description | Organized by Tongji University National Engineering Technology Research Center for Prefabrication Construction in Civil Engineering, China; University of Alberta, Canada; Modular Building Institute, USA | - |
dc.description.abstract | The adoption of precast concrete construction has been increasingly emphasised globally, due to its advancements in productivity, waste management, cost control, quality and safety. Meanwhile, the production solutions differ greatly in the off-site plants in terms of traditional stationary production and modern circulation production with different levels of automation. Practical cases show that improper selection or upgrade of production solution could lead to resource slack or even business failure, and there is limited knowledge to quantitively support the decision making. Furthermore, existing works seldom dig deep into the fundamental setup of the production plant, and reckon without the stochasticity and variability of production operation. Therefore, this paper aims to develop an analytical model to facilitate the understanding of the production solutions of precast concrete elements, which should further support the decision making in factory planning or upgrade towards increased level of automation. Stochastic Petri-nets approach has been applied, with stochastic features embraced, to graphically modelled stationary and circulation solutions. Simulation and comparative performance analysis was conducted with a numerical case study. Results demonstrate that stationary solution can achieve even higher outputs during production period provided that enough resources are given, whilst circulation solution has a more flexible and stable production. | - |
dc.language | eng | - |
dc.publisher | Tongji University, University of Alberta, Modular Building Institute, USA. The Proceedings' web site is located at https://www.mocsummit.com/proceedings/ | - |
dc.relation.ispartof | Modular and Off-site Construction (MOC) Summit 2017, Shanghai, China | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Precast concrete | - |
dc.subject | Production | - |
dc.subject | Stochastic Petri nets | - |
dc.subject | Modelling | - |
dc.subject | Prefabrication | - |
dc.title | Modelling and analysis of two production solutions for precast concrete elements: A petri-nets approach | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Pan, W: wpan@hku.hk | - |
dc.identifier.authority | Pan, W=rp01621 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.29173/mocs57 | - |
dc.identifier.hkuros | 292884 | - |
dc.identifier.spage | 118 | - |
dc.identifier.epage | 126 | - |
dc.publisher.place | China | - |