Method to Assess the Match between Clients' Input and Decoupling Points in Customized Building Projects

Rocha, CGD; Anzanello, MJ; Gerchman, M

Method to Assess the Match between Clients' Input and Decoupling Points in Customized Building Projects

Rocha, CGD Anzanello, MJ Gerchman, M

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Publisher:: ASCE-AMER SOC CIVIL ENGINEERS
Publication Type:: Journal Article
Citation:: Journal of Construction Engineering and Management, 2018, 144, (5)
Issue Date:: 2018-05-01

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Field	Value	Language
dc.contributor.author	Rocha, CGD
dc.contributor.author	Anzanello, MJ
dc.contributor.author	Gerchman, M
dc.date.accessioned	2022-09-03T21:00:05Z
dc.date.available	2022-09-03T21:00:05Z
dc.date.issued	2018-05-01
dc.identifier.citation	Journal of Construction Engineering and Management, 2018, 144, (5)
dc.identifier.issn	0733-9364
dc.identifier.issn	1943-7862
dc.identifier.uri	http://hdl.handle.net/10453/161284
dc.description.abstract	Clients' input (i.e., design drawings and specifications containing clients' desired changes) is a key resource for task completion often missing in customized building projects, leading to waste such as additional movement, increase in work in progress, rework, stoppages, and delays. Such waste can be potentially reduced by postponing the moment in which such input is first needed [i.e., the decoupling point (DP)]. This paper proposes a simulation-based method to quantify the probability of having clients' input according to production plans using the line-of-balance technique. The method is applied to two sets of plans to assess the effect of four variables (cycle time, batch size, work structure, and construction start time) on such probabilities. Work structure and construction start time were found to be the main variables affecting such probabilities. Nonetheless, preliminary results (considering a uniform probability distribution for clients' input) indicate a minimal probability of having clients' input according to production plans even for the most favorable plan (late construction start, DP in the last work package, short cycle time, and large batch size). This means that altering these variables is not sufficient to ensure the availability of clients' input and other approaches are needed to support a good flow.
dc.language	English
dc.publisher	ASCE-AMER SOC CIVIL ENGINEERS
dc.relation.ispartof	Journal of Construction Engineering and Management
dc.relation.isbasedon	10.1061/(ASCE)CO.1943-7862.0001453
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0905 Civil Engineering, 1202 Building, 1504 Commercial Services
dc.subject.classification	Building & Construction
dc.title	Method to Assess the Match between Clients' Input and Decoupling Points in Customized Building Projects
dc.type	Journal Article
utslib.citation.volume	144
utslib.for	0905 Civil Engineering
utslib.for	1202 Building
utslib.for	1504 Commercial Services
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2022-09-03T21:00:03Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	144
utslib.citation.issue	5

Abstract:

Clients' input (i.e., design drawings and specifications containing clients' desired changes) is a key resource for task completion often missing in customized building projects, leading to waste such as additional movement, increase in work in progress, rework, stoppages, and delays. Such waste can be potentially reduced by postponing the moment in which such input is first needed [i.e., the decoupling point (DP)]. This paper proposes a simulation-based method to quantify the probability of having clients' input according to production plans using the line-of-balance technique. The method is applied to two sets of plans to assess the effect of four variables (cycle time, batch size, work structure, and construction start time) on such probabilities. Work structure and construction start time were found to be the main variables affecting such probabilities. Nonetheless, preliminary results (considering a uniform probability distribution for clients' input) indicate a minimal probability of having clients' input according to production plans even for the most favorable plan (late construction start, DP in the last work package, short cycle time, and large batch size). This means that altering these variables is not sufficient to ensure the availability of clients' input and other approaches are needed to support a good flow.

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http://hdl.handle.net/10453/161284