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files (2)PGM642Unit5AssignmentandRubric.pdf
ControlQualityProcess1.docx
PGM642Unit5AssignmentandRubric.pdf
Due: Sunday, 11:59 pm of Unit 5 Points: 100 Overview: This week we are discussing the human factors of Quality Management. You have also submitted your proposed project to use for this week’s assignment and for your final assignment for this course. The work you do on this week’s assignment will be used in your final assignment, your Project Quality Management Plan. Use the course reading material, your research, and what you have learned in this week’s discussion to develop a RACI chart for the project you have selected. Detail the project quality management activities, the project management roles, and their responsibility, accountability, and if they are consulted or informed. Instructions:
• After receiving instructor acceptance of your project selection for this assignment.
o Define the quality management activities for your project.
o Detail the project roles (including all projects stakeholders who should be
involved with quality management)
o Denote each stakeholder’s as responsible, accountable, consulted and/or
informed.
Requirements:
• Provide a proposed project via course discussion and reply to any instructor
questions until your project is approved to use for this assignment.
• Cite any sources using APA format.
• Include at least one source references beyond the course required reading.
Be sure to read the criteria, by which your paper will be evaluated, before you write, and again after you write.
PGM642 – Project Quality Management
Unit 5 Assignment – RACI for Project Quality Management
Evaluation Rubric for RACI for Quality Management Assignment
CRITERIA Deficient Needs Improvement
Proficient Exemplary
0-17 points 18-23 points 24-29 points 30 points
Detail the quality management activities for your project
Identification of activities is missing or inadequate.
Identification of activities includes some aspects of the project quality management.
Identification of activities includes most aspects of the project quality management.
Identification of activities includes all aspects of the project quality management.
0-11 points 12-15 points 16-19 points 20 points
Detail the project roles for your project
Roles detailed are missing or inadequate.
Some project quality management roles are detailed.
Most project quality management roles are detailed.
All project quality management roles are detailed.
0-17 points 18-23 points 24-29 points 30 points
Demonstrate how to use the RACI to denote stakeholders and their role in quality management
Understanding of how to use the RACI is not demonstrated.
Understanding of how to use the RACI is somewhat demonstrated.
Understanding of how to use the RACI is mostly demonstrated.
Understanding of how to use the RACI is clearly demonstrated.
0 points 0 points 3 points 5 points
Resource No resources. n/a 1 resource beyond course readings.
More than 2 resources beyond course readings.
0-8 points 9-11 points 12-14 points 15 points
Clear and Professional Writing and APA Format
Errors impede professional presentation; guidelines not followed.
Significant erro rs that do not impede professional presentation.
Few errors that do not impede professional presentation.
Writing and format are clear, professional, APA compliant, and error free.
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ControlQualityProcess1.docx
1
Control Quality Process
Student’s name
Institution affiliation
Course
Instructor’s name
Date
Control Quality Process
Tools and Techniques of Control Quality
The following are valuable tools to help achieve these aims during the Control Quality process. Some of the many tools are very popular and widely used. They include the Statistical Sampling tool and Control Charts tool. As a result, each tool serves its purpose in assessing work output and managing the quality of the project's deliverables.
Statistical Sampling
Definition and Purpose
Statistical sampling is research in which data samples are taken randomly to conclude a large data set. This process is incredibly beneficial if validating all items over the population is impossible or less feasible.
Application
1. Sampling Plan Development
The first component that must be decided in a project is the sample plan, which states the number of people to be included and how the selection process will occur. This is why the specific sampling plan chosen should help ensure that the whole process is done randomly to ensure that the results obtained are close to what would have been received (validity) if the entire region population had been used.
2. Sample Collection and Analysis
Some of the data-related samples designed in the plan must be gathered, studied, and analyzed in more detail. Flaws, deviations from the norms, and other measurable characteristics of goods in their production can contribute to the identification of whether the manufactured goods conform to the requirements for quality (Dutta et al., 2021). Hypothesis two is as follows: When the levels of quality from the sampling are considered to be or are more significant than the set standard for quality for the project, then the quality for the other measurements in the whole population of data is also considered to equal or be more than the set standard because the rest are to be evaluated with higher quality levels from the sampling.
Example in a Project:
When developing an application in a software development project, sampling can be done to determine the efficiency of a new product in terms of functionality. It is equally important to test critical functions and paths; this can be done without testing every input and output possible since the cases are exhaustive. This means the application's ability is tested to perform as intended under different conditions without testing it under every possible scenario.
Control Charts
Definition and Purpose
Crucial in monitoring processes, control charts include using different graph plots that can contain various data points arranged one after another while showing a given time. Thus, they help to display when things go off the norm. They help to distinguish between the natural or random fluctuations inherent in the process and the particular causes, which are potentially the sources of issues in the process.
Application
1. Chart Selection
Choose a pointer control chart depending on the data and quality features being monitored. Some of the most widely used control charts for variable data are the X-bar and R charts, while those for attribute data are p-charts.
2. Data Plotting and Analysis
Samples from data points are plotted chronologically with control limits determined by computational formulas. The control charts show that the process is in control if data points are within the control limits (Grigoryan, & Golubkova, 2020). Values beyond the CL explore different implications that could be worthy of research.
Example in a Project
When implementing control charts in a manufacturing project, particularly in the automotive industry for manufacturing automotive parts, one can monitor the dimensions of the automotive parts produced using the control charts. It's possible to pay particular attention to the specified dimensions. In plotting measurements on the control chart, any deviation will be easily detected, thus ensuring that all parts match the required quality standards.
Implementation of Control Quality Tools in a Project
Case Study: Construction of a Residential Building
In constructing the residential facility, quality should be considered even more to ensure that the resulting house, perceived by so many people these days as low quality, is not produced because quality control measures were not implemented during construction. Here's how Statistical Sampling and Control Charts can be applied:
1. Statistical Sampling
Developing a Sampling Plan
Sample and refine the concrete, steel, and other electrical metallic components to be tested in the laboratory (Ginting & Fattah, 2020).. For instance, quality assurance on concrete produced and supplied to the site should be carried out on specific batches of concrete. For example, a quality check should be carried out every ten batches of concrete that reach the site.
Sample Collection and Analysis
Sample, measure, and record data for strength and composition attributes using the employed testing system (Dutta et al., 2021). This is very true if, for instance, the concrete batches that had been sampled have been determined to be of the right quality. The probability of the whole supply being reasonable is very high. If such deviations were experienced, the removal of all the unfavorable batches would be attained.
2. Control Charts
Monitoring Construction Processes
Using the control charts, other construction processes still ongoing at the site may be traced, such as quality checks of concrete and the required curing time (Ginting & Fattah, 2020). Heat curing requires one to keep and observe critical data inputs for the curing process, such as temperatures, which must not rise higher or be accompanied by humidity levels.
Identifying Variations
Control charts can then be used to evaluate the variation, thereby identifying that which is beyond the particular cause and may be attributed to wrong mixing proportions or faulty curing conditions. Resolving issues when small or in their budding stage is advisable to prevent damage and ensure the structure is sound.
Conclusion
In managing a project, the control quality SLO dynamic can be considered a critical component given that it is focused on ensuring that the deliverables' quality meets the required quality standards and the customer requirements. Such systems include methods; Statistical sampling and Control charts are among the mechanisms in systematic. When implemented effectively, these tools allow project managers to identify and address quality issues before they assume a significantly damaging position regarding the project's goals. In a construction project, these techniques help maintain the quality of outputs from a particular construction project and maintain customer satisfaction.
References
Dutta, G., Kumar, R., Sindhwani, R., & Singh, R. K. (2021). Digitalization priorities of quality control processes for SMEs: A conceptual study in perspective of Industry 4.0 adoption. Journal of Intelligent Manufacturing, 32(6), 1679-1698. https://link.springer.com/article/10.1007/s10845-021-01783-2
Ginting, R., & Fattah, M. G. (2020, April). Production quality control with new seven tools for defect minimization on PT. Dirgantara Indonesia. In IOP Conference Series: Earth and Environmental Science (Vol. 452, No. 1, p. 012082). IOP Publishing. https://iopscience.iop.org/article/10.1088/1755-1315/452/1/012082/meta
Grigoryan, E., & Golubkova, I. (2020, May). Seven Tools for Quality Management and Control: Theory and Practice. In International Conference on Economics, Management and Technologies 2020 (ICEMT 2020) (pp. 528-535). Atlantis Press. https://www.atlantis-press.com/proceedings/icemt-20/125940011
Guide, P. M. B. O. K. (2017). A guide to the project management body of knowledge. https://www.google.com/search?sca_esv=6798127eb6819917&sca_upv=1&rlz=1C1GGRV_enKE1042KE1042&sxsrf=ADLYWIJqqE9N1lUYift14kswEW6Q26XGTg%3A1716552438375&q=pmbok%206th%20edition%20pdf&ved=2ahUKEwidmc-SoKaGAxUfTaQEHW8tAHIQmoICKAB6BAhPEAE
