Revision as of 11:16, 20 June 2017

Defects and errors in construction projects have been subject to attention in the medias and debates through out the years. A general consensus of a lack of quality on the construction sites exists, thus an increasing effort have been made to improve the quality of construction projects by a number of political initiatives^[1]. When managing quality in a project an important aspect is Quality Control (QC), which is the topic of this article. First the definition of QC is elaborated and examples of process QC and product QC is given, in order to clarify the difference between the two types of QC. The standard DS/ISO 21500 outlines different aspects that have to be considered when performing QC, why these are mentioned in the article. Different QC policies and techniques exist and their objectives, advantage and disadvantages are elucidated. At last limiting conditions when performing QC are stated.

Definition of Quality Control

Quality Control (QC) is a part of quality management of construction projects, and to be more exact QC is at the heart of conformance management. The aim of QC in construction projects is to assure high quality of the construction being built and the individual processes within the project. In this content “high quality” denotes fulfilling standards and the established quality requirements of the specific project ^[2]. It is important to investigate the causes of the arising problems, as well finding ways to eliminate unsatisfactory performance when performing QC, thus both corrective, preventive and predictive QC policies are essensial.

Product Quality Control vs. Process Quality Control

Figure 1: Examples of input and output parameters in a process (Cite: hvor fuck fandt jeg den... Luuuurt)

QC deals with the specific products as well as the processes as mentioned. A certain understanding of the process or product is needed in order to perform QC of either part. A process is the transformation of a set of inputs into the desired output. Figure 1 illustrates that the inputs can be materials, procedures and knowledge. Each process in a construction project can be analyzed by itself and afterwards actions can be determined in order to improve the process, thus the process QC become preventive ^[3].

Examples of process QC can for example by:

• Measuring the temperature of the concrete during casting and check if it fulfills specifications.
• Controlling the quality control process by checking if the quality control methods agreed upon are carried out ^[4].
• Checking if the pile movements during hammering process correspond to the predicted movement, when constructing the pile foundation.

QC of af product concerns instead the quality of the output/result of the a process in the construction project. It can be a product of a process in the design phase as well as in the construction phase. The output doesn't have be a physical product but can as well be a service, information or conducted paperwork as illustrated on Figure 1. Examples of defects that product QC deals with are:

• Missing information in drawing material
• Moisture damage of a construction element
• Cracking in a welding

Performing Quality Control

In order to perform QC, tools and inspection procedures are needed. These inspection procedures and QC tools are specified in the part of the quality management called Quality Assurance ^[2]. The primary inputs and outputs of performing QC in construction project given by the standard DS/ISO 21500 ^[5] are shown in Table 1. Here it can be seen that QC has a high dependency of good planning, as the primary inputs are a result of planning the quality in the project. The primary outputs indicate, that QC is not only a check of requirements are meet, but it also includes documentation, communication and analysis. Furthermore it is seen that QC also have to prevent defects and non-conformance from taking place.

The standard DS/ISO 21500 ^[5] states that QC should be performed during the whole project life cycle and that it includes following aspects:

• Monitoring the quality of the processes and detect defects.
• Analysis of the causes of defects and non-conforming performance.
• Eliminate unsatisfactory performance by identifying preventive actions and change requests.
• Communication of the changed requests and necessary corrective actions to project organization members.

Documentation is not mentioned directly by the standard, but it is implied in the last aspect "communication" as it is impossible to tell the craftsman which corrective actions that have to be fulfilled without. The documentation can made with control tables, but in large construction projects digital quality documentation is preferred as many parts perform quality control. By using digital documentation like "digitjek”, ”C-web” og ”Ajour” position and date of the defect can be noted on the layout drawing, so the craftsmen get a clear outline of defects ^[6].

Correct, prevent & predict

With the increased focus on minimizing non-conformance in construction projects the main goal of QC have shifted from a corrective to a predictive policy as illustrated on Figure 2. The intention of this shift is to predict the errors and defect, so they can be prevented. By achieving predictive and preventive QC the coast of the project will also be minimized as well as time will be saved. something about it isn't as easy as it sounds. In the following the three policies (corrective, preventive and predictive) of QC will be clarified.

Figure 2: Quality Control policies and associated actions

Corrective Quality Control

Figure 3: Corrective QC is performed after defects occur ^[7].

Corrective QC is necessary when non-conformance or a defect is found or a fatal event has occurred, thus corrective QC is defined as a reactive approach. This approach of QC is necessary because unexpected events and defect always will occur in construction projects. The ideal project where all problems are prevented is hard to establish, since many people, partners and processes are involved in the project. Questions like “have we met the requirements?” and “what went wrong?” are asked here. Corrective QC deals with critical defects and the less serious defects, which doesn't meet the requirements.

This type of quality control can be very expensive, due to the fact that rework can be very comprehensive ^[1]. Correcting serious errors can also be very time consuming depending on how many parts that have to be involved, and new material deliveries can likewise result in delays.

In order to correct non-conformance, knowledge of the causes to the problem has to be obtained. Performing corrective QC can be accomplished with different techniques, and one technique “cause and effects diagrams” is elaborated in following.

Preventive Quality Control

Figure 4: Preventive QC alerts before errors occur^[8].

By changing the strategy of QC from corrective to preventive the questions to be asked are changed to "Can we do the job correctly" and "Are we doing the job correctly" ^[9]. In order to answer the questions a certain amount of knowledge and experience is required, and without this it isn't possible to prevent failures and non-conformance from happening. That people trying to control procedures doesn't have the competencies is a common problem, and for this reason the advice from W. Edwards Deming, a guru of quality management, was ^[3]:

"Don't just do something, sit here and think"

A way to increase preventive QC in construction projects is to make specifications, recommendations and regulations of work procedures and construction products. By introducing these aspects the people involved in the project can get a clear overview of which aspects of the procedure that are important to focus on in order to prevent non-conformance. Examples of this.

Continous, delivery and start-up control

A qualitative analysis of processes and methods in flawless construction projects, that based on experience from project managers, showed that continous, delivery and start-up control was very import in order to prevent fatal errors ^[6]:

A way to prevent expensive corrective actions to quality problems is to perform continuous QC. This can for example include thermo graphic measurements of the first rooms finished, and if non-conforming performance is found, then preventive actions can be made to assure the quality of the remaining rooms.

Control at delivery of for example reinforcement and concrete elements is very import, as these elements often are shot in and hidden, thus later control is impossible. Poor quality of these elements could be fatal as it can result in construction failure, which can be prevented by performing quality control at the delivery.

Start-up control at the shift between contractors can prevent fatal errors from occurring. This way the quality of the previous work is assured and the following work is not going to hide defects that potentially can result in critical errors, that will be very expensive and time consuming to correct. This concept is also called "stop the line" in lean construction, where the following work are set on hold until all errors from previous work are corrected ^[10].

Predictive Quality Control

Figure 5: Predictive QC alerts at trends of possible failure ^[11].

In order to determine preventive actions predictions of possible failures is necessary. The predictions should be based upon analysis of data well-founded arguments thus immaterial actions aren't initiated. Valuable predictions can be made by utilizing modern technology, that makes it possible to collect large amounts of data from different systems. Problems can be detected before they happen by analyzing the collected data. The selection of the digital tool is very important, as an inaccurate selection of a system can lead to a failed outcome of collected data, which limits the performance of predictive QC. ^[12]. Using this approach it is important that the problem leave digital footprints before it occurs, otherwise predictions can't be made.

Monitoring

Not written but is going to include:

Digital tools for inspections

Sensor systems

Radio Frequency Identification (RFID)

Quality control techniques

Various techniques and tools to perform QC are developed through time. Frequently used tools are Ishikawa's seven tools ^[13]:

1. Cause and effect diagram

2. Check sheet

3. Control chart

4. Histogram

5. Pareto chart

6. Scatter diagram

7. Flow charts

In the following three of the tools (Cause and effect diagrams, Histograms and Flow charts) will be described in relation to QC in construction projects.

Cause and effect diagrams

Figure 6, structure of a cause effect diagram with six chosen categories of causes, which all have an influence on the overall problem. The secondary cause are attached to the primary causes by small arrows ^[14].

Cause and effect diagrams also go under the names “fishbone diagram” (due to their shape) and “Ishikawa diagram” (after the techniques inventor). The reason for the name “cause and effect diagram” is that the diagram is separates the problem (the effect of the causes) from the causes. The basic idea of the technique is to work back from the problem by asking: “why did it occur”, and in that way finding the different roots to the problem ^[2]. Each cause is thereby found by using a form of brainstorm technique, and they are grouped under different categories. A cause can either be a primary cause or a secondary cause to the primary cause. When illustrating the causes this way, the diagram takes form as a fish skeleton as shown from Figure 6.

A cause effect diagram shows there often are several roots to non-conformance and defects, and that several corrective/preventive actions have to be performed. This allegation becomes clear by grouping the causes under different categories, because it illustrates the difficulties of complex processes. The categories often include people, process/methods, equipment/machines, material, environment and management, as these are some of the basic elements in construction projects ^[14].

This technique can be used as a corrective QC tool as a well as a preventive tool, the only difference is whether the problem have occurred or are predicted.

Performance measurements (Histogram)

Figure 7, Historgram over causes to measured non-conformance ^[2].

Graham M. Winch states: "Little progress can be made in understanding the roots of quality problems unless the outputs from the process are measured and analysed" ^[2].

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https://www.designingbuildings.co.uk/wiki/Pareto_analysis_in_construction

Value stream mapping (Flow chart)

Figure 8, With value stream mapping you can identify elements in a current process that generates non-conformance, and thereby improve the process for future state^[15].

Value stream mapping (VSM) is a preventive QC technique, that focus on understanding the details of all the discrete elements in a process ^[2], thus the current value stream of the process can be visualized and in this way sources that produces non-conformance are discovered and eliminated. It helps individuals to understand the process instead of focusing on the result of the process, which is the reason for increase of efficiency by using this technique. Value-stream mapping makes it possible to identify effective testing equipment, testing strategies and quality control loops ^[16]. Figure 8 is an illustration of the overall structure of a value stream map. Here is it seen that is a flow chart, that identify the flow of materials, information, etc.

The technique requires following steps to be carried out:

1. Map the process at current state.

2. Rate the value of each step of the process, and identify and discuss opportunities of improvement.

3. Remap the process for the ideal future state.

At the first step it is very important to gather all the persons involved in the process, in order to get a correct picture of the current state and prevent assumptions about the process. Sometimes it can be an advantage to observe the process and collect actual data of the process. When identifying the ways of improvement, it is very important to have the outcome in mind to improve the quality ^[16]. VSM is only relevant of processes that are repeated, which also is case of some processes in a construction project, but is fairly limited compared to other manufactory productions. Come with an example.

Limitations

Not written but is going to include:

The requirements have to be clear (from the client to the designer, as well as to the entrepreneurs and craftsmen)

Operationally orientated and doesn't take factors as customer satisfaction into account

Project specific control

Not enough resources from the designers

Time – there have to be time to do it.

Knowledge – people have to understand the process in order to control them. Problem is that managers are trying to control processes they have no knowledge about. (Cite Oakland den mindre article)

Designer makes errors ... (processes that can't be done etc.)

Annotated bibliography

Is going to include:

Karins store report

Article: Quality Value stream mapping

Article: Active construction QC

Article: Automated project performance QC of construction projects

References

1. ↑ ^{1.0 1.1} Schultz, Casper S., Jørgensen, Kirsten, Bonke, Sten and Rasmussen, Grane M. G., Architectural Engineering and Design Management, Taylor and Francis Group, 2015, " Building defects in Danish construction: project characteristics influencing the occurrence of defects at handover"
2. ↑ ^{2.0 2.1 2.2 2.3 2.4 2.5} Winch, Graham M., Wiley-Blackwell, 2010, "Managing Construction Projects, 2nd edition "
3. ↑ ^{3.0 3.1} Oakland, John S., Rutledge Taylor and Francis Group, 2008, "Statistical Process Control", Sixth edition
4. ↑ IRMI, "Construction Quality Management", access: 12-06-2017,https://www.irmi.com/articles/expert-commentary/construction-quality-management]
5. ↑ ^{5.0 5.1 5.2} Danish Standards, 2013, "DS/EN 21500: Guidance on project management, 2nd edition
6. ↑ ^{6.0 6.1} Jørgensen, Kirsten; Schultz, Casper S.; Bonke, Sten, Technical University of Denmark, 2013, "Processer og metoder i det fejlfrie byggeri: Erfaringer og anbefalinger fra projektledere i entreprenørbranchen"
7. ↑ The church of Jesus Christ of latter-day saints, "Helaman 1–6", access: 12-06-2017,https://www.lds.org/manual/book-of-mormon-teacher-resource-manual/helaman-1-6?lang=eng]
8. ↑ T&W Church solutions, "The Top 7 Mistakes Made by Church Building Committees and How to Prevent Them!!!", access: 12-06-2017, http://www.tw-church.com/The-Top-7-Mistakes-Made-by-Chur.html]
9. ↑ Oakland, John S., Quality and Reliability Engineering International, volume 9, issue 6, 1993, "Total quality management"
10. ↑ Simonsen, Rolf, Værdiskabende Byggeproces, 2017, "Lean Construction & Last Planner System
11. ↑ Skipprichard Leadership insights, "The Surprising Predictive Power of Analytics", access: 12-06-2017, https://www.skipprichard.com/the-surprising-predictive-power-of-analytics/]
12. ↑ Cyient, 2016, "Engineering solutions for predictive maintenance in rail"]
13. ↑ Ishikawa, Kauro, Tokyo 3A Corporation, 1990, "Introduction to Quality Control "
14. ↑ ^{14.0 14.1} Wikipedia, "Ishikawa diagram ", access: 11-06-2017, https://en.wikipedia.org/wiki/Ishikawa_diagram]
15. ↑ Lean homebuilding, "Value stream mapping ", access: 13-06-2017, https://leanhomebuilding.wordpress.com/2010/04/14/value-stream-maps-visualizing-waste/]
16. ↑ ^{16.0 16.1} Haefnera, Benjamin; Kraemera, Alexandra; Staussa, Torsten; Lanzaa, Gisela, Variety Management in Manufacturing. Proceedings of the 47th CIRP Conference on Manufacturing Systems, 2014, "Quality Value Stream Mapping "