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ManagementofQuality1.docx

Running Head: MANAGEMENT OF QUALITY 1

MANAGEMENT OF QUALITY 7

Management of Quality

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Management of Quality

1. What is the purpose of a Statistical Quality Chart (SQC) and how is it used to evaluate the quality performance of an ongoing production process.

The statistical quality chart refers to the graph that is used to study changes of a process over time. The data or information available is plotted in time order. The quality chart will ever have the centreline which represents the average, the upper line showing the –upper limits for control and the lower line which shows the lower limits for control (Chakraborty & Mandal, 2019). The lines are usually determined historically. When you compare the current data with the historical data, you can always come up conclusions on whether the process at hand has variations that are consistent or even the unpredictable, that is the out of control being the special forces of variance. The versatile analysis and the data collection tool is used by many factories and industries in assessing their control processes.

This quality chart can be used when trying to control the ongoing processes by correcting and finding the challenges as they happen. It can be used when you expect a large or wide range of outcomes from a particular process (Weiß, 2018). It can be used to determine whether a certain process is table. It can be used to analyse the process variation patterns from the non-routine events or the Special Forces or the causes built in the process. It can also be used to determine whether the quality enhancement project should focus on preventing the specific problems or making the necessary changes to the process.

2. Describe how to use Quality Functional Deployment (QFD) and Value Analysis (VA).

The quality function deployment process starts with collection of customer inputs or the potential customers, mostly through conducting surveys. The surveys sample size ought to be significant because the quantifiable data will have more weight. This avoids allowing the outlier comments drive product strategy in the direction that is wrong.

Once the aggregation of data, which comes along with the applicable competitive analysis and surveys are done, it goes to the voice of the customer (Wee et al., 2017). The customer demands, requests, requirements and the preferences are put as specific items and ranked in terms of the urgency. They are then placed on the left side of the House of Quality matrix and will represent what the customers want to do with the product.

The value analysis is the process whereby the firm will identify the support and primary activities that will have value addition to the product and then the analysis is undertaken to improve the differentiation and minimize costs.

3. Discuss the facility location decision process to include the major variables. Explain how factor rating can be used to identify the top location options. Identify any possible problems with using factor rating.

There are 7 major variables that must be considered when the location decisions for businesses are being made. They include labour, competition, the political risk and incentives, facilities and site and the community. These factors that affect the location of the plant will however depend on the business type.

The factor rating systems are the most used when determining the location for a plant because it is a system that combine many different factors to a format that is easy to understand. The challenge with this simple point rating system is that it does consider the wide range of costs that come with every factor.

For instance, there could be a few difference in terms of dollars between the worst and the best location on another factor. The initial facto might have many points at disposal but also give little aid in terms of the decisions making. The second factor might have points to consider in terms of availability but much help in making decisions for the proposed location. This can really present a difference in terms of the locations value (Robert & Chase, 2018). In order to deal with this challenge, a solution has been reached that the costs that are associated with every factor be determined by use of the weighing scale that is based on the cost standard deviations rather than just the total costs and in this way, the relative costs can be determined which sounds more practical.

4. Explain the production planning process from the initial sales estimate to the plant floor. Describe the importance of Johnson's rule in  scheduling multiple machines

Production planning is “the administrative process that takes place within a manufacturing business and that involves making sure that sufficient raw materials, staff and other necessary items are procured and ready to create finished products according to the schedule specified”

The first step in the production planning process is the forecasting demand. This is tells the demand expected from the customers (Böckenkamp et al., 2017). The next stage is determination of the potential option for production in the process. The next stage is the choosing of the option that less uses resources but still guarantee massive sales. The fourth stage is self-assessing the performance for the options that undertook and see if you are achieving your objectives. The fifth and the final stage is adjustment based on the results that you have achieved so far.

The John rule is the priority rule that is applied when you are sequencing jobs where there are many jobs and determine which ones exactly to be allocated to the 2 workstations. The main goal is to reduce the idle time in its entirety within the production processes and the workstations.

References

Böckenkamp, A., Mertens, C., Prasse, C., Stenzel, J., & Weichert, F. (2017). A versatile and scalable production planning and control system for small batch series. In Industrial Internet of Things (pp. 541-559). Springer, Cham.

Chakraborty, S., & Mandal, P. (2019). Control charts for detection of dead batches during hydrogenation of edible oil. International Journal of Quality & Reliability Management.

Robert, J. F., & Chase, R. B. (2018). Operations and Supply Chain Management. John Wiley & Sons.

Weiß, C. H. (2018). Control charts for time-dependent categorical processes. In Frontiers in Statistical Quality Control 12 (pp. 211-231). Springer, Cham.

Wee, T. P. Y., Aurisicchio, M., & Starzyk, I. (2017). The application of quality functional deployment to modular offsite construction products. In DS 87-4 Proceedings of the 21st International Conference on Engineering Design (ICED 17) Vol 4: Design Methods and Tools, Vancouver, Canada, 21-25.08. 2017 (pp. 523-532).