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Adapting the SCOR Make Process to the Construction Industry Settings
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology. (Bygglogistik)
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology. (Bygglogistik)ORCID iD: 0000-0002-8989-4869
2012 (English)Manuscript (preprint) (Other academic)
Abstract [en]

Since 2009, Linköping University has been running the Builder’s SCOR project. The project is supported by the research collaboration Brains&Bricks where Linköping University, the construction company Peab, and the municipality of Katrineholm participates to enhance the efficiency of the construction industry. The Builder’s SCOR model (BSCOR) is based on the SCOR model (Supply Chain Operations Reference Model) developed and supported by Supply Chain Council (SCC, 2012, SCOR, 2010). The BSCOR project is divided into several sub-projects and is still on-going. This paper reports on the third phase in the project where the Make-process of SCOR is converted to BSCOR in terms of process definitions. The first phase, the pilot study, used the SCOR model in a construction setting and evaluated how useful the model was. This work is reported in Johansson and Persson (2011) and Persson et al. (2009), where the need for something very similar to the BSCOR model is argued. The second phase included a case study of a mid-range construction project (turnover of € 1 – 10 million) where the SCOR-processes Source and Deliver were studied. This resulted in new definitions of processes and metrics in order to take the unique conditions of the construction industry into consideration. The work is reported in Persson and Thunberg (2012) and Thunberg (2011). The third phase, in this paper, studies the Make-processes in construction through two case studies of midrange construction projects. This paper outlines the results of the case studies and defines the processes in Make at the three different levels of BSCOR. As the last phase, Deliver and Plan will be studied through interviews with personnel from construction companies as well as from companies that order and buy construction projects. A study on adapting the Return-process is not conducted as the results from Thunberg (2011) indicate that faulty construction materials are seldom returned. With the four phases outlined here, a complete BSCOR model will be defined and used in several construction projects. The aim is to broaden the scope of use to other construction companies outside the collaboration of Brains&Bricks.

Place, publisher, year, edition, pages
2012. , 20 p.719-737 p.
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-101963OAI: oai:DiVA.org:liu-101963DiVA: diva2:666986
Available from: 2013-11-25 Created: 2013-11-25 Last updated: 2013-11-25Bibliographically approved
In thesis
1. Towards a Framework for Process Mapping and Performance Measurement in Construction Supply Chains
Open this publication in new window or tab >>Towards a Framework for Process Mapping and Performance Measurement in Construction Supply Chains
2013 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The purpose with this study is to develop a framework for process mapping and performance measurement in construction supply chains. This is done as current literature suggest that many of the problems that cause the cost- and time overruns in construction can be mitigated by implementing supply chain management (SCM) principles. For example, temporary organisations, fragmentation, etc. can affect the time and cost as work and information among members easily are delayed and even distorted. It is also recognised by many authors that planning the construction work and logistics often are tainted with synchronisation and coordination problems between supply chain members. It is deemed necessary with a framework for mapping logistic activities and measuring supply chain performance. Up until now, there exists no framework for mapping the whole construction supply chain and measuring its performance, that encompasses the whole chain from raw material to the finished building.

As stated above, the purpose with this thesis is to develop such a framework. In order to do so an existing framework is used as a basis, the Supply Chain Operations Reference (SCOR) model. The SCOR model consists of five process groups (Plan, Source, Make, Deliver, and Return) hierarchically structured in three levels and some 500 predefined performance metrics. This framework is proven fruitful in other industries but it is also proven by other authors in the field suitable as a basis for a construction adapted version. Other frameworks do exist, but none of these are as comprehensive as the SCOR model. Resent research also suggests that the SCOR model is possible to adjust to unique industry settings. It is identified in this study that the SCOR model has to be adapted to the characteristics of the construction industry. Therefore, the framework presented in this thesis is developed via adaption of the SCOR model to the characteristics of the construction industry. In doing so, a total of four research objectives corresponding to the process groups in the SCOR model are considered for adapting the SCOR model. The Return process, however, is not included in this thesis.

Objective 1. Adapt the SCOR model’s Deliver process to the characteristics of the construction industry.

Objective 2. Adapt the SCOR model’s Source processes to the characteristics of the construction industry.

Objective 3. Adapt the SCOR model’s Make processes to the characteristics of the construction industry.

Objective 4. Adapt the SCOR model’s Plan processes to the characteristics of the construction industry.

The main method utilised in the study is case study research. The results are derived from a total of three case studies. The SCOR model is applied to the cases as it is. Through observing how suitable the framework is for the industry the four aforementioned objectives are addressed. Except from direct observations (with time measurements), other data gathering methods utilised are questionnaires and interviews.

The adapted version of the SCOR model is entitled the Builder’s SCOR model (BSCOR). Findings from the studies indicate that necessary changes to the SCOR model concerns how the material flow in the processes are separated. The SCOR model suggests separating materials based on type of end product (e.g. Make-to-Stock – MTS, Make-to-Order – MTO, or Engineer-to-Order – ETO character). In the BSCOR model, the flow of materials are separated based on who orders them (the main contractor or any of the subcontractors), rather than type of material. The BSCOR model also suggests how the planning process should be organised in order to overcome coordination issues. Finally, one measurement included in the BSCOR model is to keep track of whether an incoming delivery of construction materials is notified in time. An order is not perfectly delivered if it is not notified in time.

One managerial contribution with the study is a framework for mapping supply chain activities and measuring supply chain performance. The framework also offers the ability to measure how the supply chain of a company performs compared to other companies’ supply chains. The study contributes to the academia as it fills the gap of a lack in frameworks suitable for mapping and measuring construction logistics. It also contributes in reporting on the current logistics status in the construction industry.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2013. 76 p.
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1631
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-101964 (URN)10.3384/lic.diva-101964 (DOI)LIU-TEK-LIC-2013:65 (Local ID)978-91-7519-462-2 (ISBN)LIU-TEK-LIC-2013:65 (Archive number)LIU-TEK-LIC-2013:65 (OAI)
Presentation
2013-12-06, K3, Kåkenhus, Campus Norrköping, Linköpings universitet, Norrköping, 13:15 (Swedish)
Opponent
Supervisors
Available from: 2013-11-25 Created: 2013-11-25 Last updated: 2013-12-03Bibliographically approved

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Persson, FredrikThunberg, Micael

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