Abstract
Off-site construction is a unique hybrid of manufacturing operations and on-site construction activities. Maximizing the production output has long been the main challenge for off-site manufacturers. Among other responses to this challenge, the use of multi-task shared resources has proved its effectiveness in improving tangible performance measures of production. However, multi-skilled resources often become bottlenecks (overloaded) when producing multiple classes of products and prevent the production network from meeting due dates. This paper analytically models the problem of defining the optimal product sequencing using optimization-based metaheuristics with the aim of minimizing changeover time, which is wasted switching from a product class to another. Production data of two Australian off-site manufacturers are used in the subsequent empirical analysis resulting in advancement of five research propositions. This research contributes to the scheduling theory by expanding the insight into dynamics of resource sharing and job sequencing. The developed models and propositions are of practical value for off-site manufacturers of building elements to maximize their production output.
| Original language | English |
|---|---|
| Pages (from-to) | 262-270 |
| Number of pages | 9 |
| Journal | Automation in Construction |
| Volume | 71 |
| Issue number | Part 2 |
| DOIs | |
| Publication status | Published - 1 Nov 2016 |
| Externally published | Yes |
Keywords
- Building operations
- Construction project management
- Lean construction
- Minimax decision rule
- Multi-skilled resources
- Off-site production
- Operations research optimization
- prefabrication and precast
- Process integration, Scheduling theory
- Productivity and performance measures
Cite this
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Off-site construction optimization : sequencing multiple job classes with time constraints. / Arashpour, Mehrdad; Wakefield, Ron; Abbasi, Babak; Lee, E.W.M.; Minas, James.
In: Automation in Construction, Vol. 71, No. Part 2, 01.11.2016, p. 262-270.Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Off-site construction optimization
T2 - sequencing multiple job classes with time constraints
AU - Arashpour, Mehrdad
AU - Wakefield, Ron
AU - Abbasi, Babak
AU - Lee, E.W.M.
AU - Minas, James
PY - 2016/11/1
Y1 - 2016/11/1
N2 - Off-site construction is a unique hybrid of manufacturing operations and on-site construction activities. Maximizing the production output has long been the main challenge for off-site manufacturers. Among other responses to this challenge, the use of multi-task shared resources has proved its effectiveness in improving tangible performance measures of production. However, multi-skilled resources often become bottlenecks (overloaded) when producing multiple classes of products and prevent the production network from meeting due dates. This paper analytically models the problem of defining the optimal product sequencing using optimization-based metaheuristics with the aim of minimizing changeover time, which is wasted switching from a product class to another. Production data of two Australian off-site manufacturers are used in the subsequent empirical analysis resulting in advancement of five research propositions. This research contributes to the scheduling theory by expanding the insight into dynamics of resource sharing and job sequencing. The developed models and propositions are of practical value for off-site manufacturers of building elements to maximize their production output.
AB - Off-site construction is a unique hybrid of manufacturing operations and on-site construction activities. Maximizing the production output has long been the main challenge for off-site manufacturers. Among other responses to this challenge, the use of multi-task shared resources has proved its effectiveness in improving tangible performance measures of production. However, multi-skilled resources often become bottlenecks (overloaded) when producing multiple classes of products and prevent the production network from meeting due dates. This paper analytically models the problem of defining the optimal product sequencing using optimization-based metaheuristics with the aim of minimizing changeover time, which is wasted switching from a product class to another. Production data of two Australian off-site manufacturers are used in the subsequent empirical analysis resulting in advancement of five research propositions. This research contributes to the scheduling theory by expanding the insight into dynamics of resource sharing and job sequencing. The developed models and propositions are of practical value for off-site manufacturers of building elements to maximize their production output.
KW - Building operations
KW - Construction project management
KW - Lean construction
KW - Minimax decision rule
KW - Multi-skilled resources
KW - Off-site production
KW - Operations research optimization
KW - prefabrication and precast
KW - Process integration, Scheduling theory
KW - Productivity and performance measures
UR - http://www.scopus.com/inward/record.url?scp=84991258587&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2016.08.001
DO - 10.1016/j.autcon.2016.08.001
M3 - Article
AN - SCOPUS:84991258587
VL - 71
SP - 262
EP - 270
JO - Automation in Construction
JF - Automation in Construction
SN - 0926-5805
IS - Part 2
ER -