Innovative managerial control system (IMCS): an application in precast concrete building products industry

Hdl Handle:
http://hdl.handle.net/10149/98153
Title:
Innovative managerial control system (IMCS): an application in precast concrete building products industry
Authors:
Marasini, R. (Ramesh); Dawood, N. N. (Nashwan)
Citation:
Marasini, R. and Dawood, N. N. (2006) 'Innovative managerial control system (IMCS): an application in precast concrete building products industry', Construction Innovation Information Process Management, 6 (2), pp.97-120.
Publisher:
Emerald Group Publishing Limited
Journal:
Construction Innovation Information Process Management
Issue Date:
2006
URI:
http://hdl.handle.net/10149/98153
DOI:
10.1108/14714170610710640
Abstract:
The monitoring and control of business processes and their variables have strategic importance in order to respond to the dynamics of the world of business. Many monitoring processes are focussed on controlling time and cost and the overall performance is evaluated through a standard set of key performance indicators. These passive approaches do not consider a holistic/system view and therefore ignore the interrelationships between various external and internal variables impacting a business process. This paper investigates an application of multivariate statistical process control techniques [mainly principal component analysis (PCA) and partial least squares (PLS)] which have been successfully used in process and chemical industries, to model, monitor, control and predict business process variables. A prototype, innovative managerial control system (IMCS), was developed to investigate the application of PCA and PLS techniques to monitor, control and predict business process performance. Data was collected and analysed using a case study in a precast concrete building products company. This study has proved that the PCA approach can be effectively used to control business processes. Also, the PLS approach is found to provide better forecasts as compared to commonly used decomposition method. The benefits and limitations of using multivariate statistical process control techniques as applied to business process control are highlighted.
Type:
Article
Language:
en
Keywords:
business processes; control; monitoring; MSPC; precast concrete products
ISSN:
1471-4175
Rights:
Author can archive post-print (ie final draft post-refereeing). For full details see http://www.sherpa.ac.uk/romeo/ [Accessed 07/05/2010]
Citation Count:
0 [Web of Science and Scopus, 07/05/2010]

Full metadata record

DC FieldValue Language
dc.contributor.authorMarasini, R. (Ramesh)en
dc.contributor.authorDawood, N. N. (Nashwan)en
dc.date.accessioned2010-05-07T08:37:10Z-
dc.date.available2010-05-07T08:37:10Z-
dc.date.issued2006-
dc.identifier.citationConstruction Innovation Information Process Management; 6(2):97-120en
dc.identifier.issn1471-4175-
dc.identifier.doi10.1108/14714170610710640-
dc.identifier.urihttp://hdl.handle.net/10149/98153-
dc.description.abstractThe monitoring and control of business processes and their variables have strategic importance in order to respond to the dynamics of the world of business. Many monitoring processes are focussed on controlling time and cost and the overall performance is evaluated through a standard set of key performance indicators. These passive approaches do not consider a holistic/system view and therefore ignore the interrelationships between various external and internal variables impacting a business process. This paper investigates an application of multivariate statistical process control techniques [mainly principal component analysis (PCA) and partial least squares (PLS)] which have been successfully used in process and chemical industries, to model, monitor, control and predict business process variables. A prototype, innovative managerial control system (IMCS), was developed to investigate the application of PCA and PLS techniques to monitor, control and predict business process performance. Data was collected and analysed using a case study in a precast concrete building products company. This study has proved that the PCA approach can be effectively used to control business processes. Also, the PLS approach is found to provide better forecasts as compared to commonly used decomposition method. The benefits and limitations of using multivariate statistical process control techniques as applied to business process control are highlighted.en
dc.language.isoenen
dc.publisherEmerald Group Publishing Limiteden
dc.rightsAuthor can archive post-print (ie final draft post-refereeing). For full details see http://www.sherpa.ac.uk/romeo/ [Accessed 07/05/2010]en
dc.subjectbusiness processesen
dc.subjectcontrolen
dc.subjectmonitoringen
dc.subjectMSPCen
dc.subjectprecast concrete productsen
dc.titleInnovative managerial control system (IMCS): an application in precast concrete building products industryen
dc.typeArticleen
dc.identifier.journalConstruction Innovation Information Process Managementen
ref.citationcount0 [Web of Science and Scopus, 07/05/2010]en
or.citation.harvardMarasini, R. and Dawood, N. N. (2006) 'Innovative managerial control system (IMCS): an application in precast concrete building products industry', Construction Innovation Information Process Management, 6 (2), pp.97-120.-
All Items in TeesRep are protected by copyright, with all rights reserved, unless otherwise indicated.