Fish Bone Chart Essay

ABSTRACTThe experiment aims to analyze the faces of each caper (effect) identified in un soured eggs and mayonnaise products during manufacturing and summonsing through the use of fish-bone diagrams or Ishikawa diagrams (cause and effect diagrams).Additionally, scatter analysis and go classification type fish-bone diagrams were used. The result of the experiment showed that adjoin classification diagram is more effective in pin closureing specific causes of error/ problems thus help more in formulation of corrective actions to be taken. However, dispersion analysis concentrates more in analyzing the general root causes of the errors/ problems, thus fails to identify minor causes of the problems.I. INTRODUCTIONA fish-bone diagram, also known as Ishikawa diagram or a cause-and-effect diagram, is an organized tool that helps manufacturers in identifying the accomplishable causes of quality problems (Forman, 2001). This visual tool is also used for organizing possible causes of defect in different categories. It has angle lines, or the bone, which represents a possible cause of error. Each bone can have sub-bones which contains and details about a possible cause of error. The bones are joined together in a singular straight line that describes the main defect. This outline gives a shape similar to the bones of a fish, hence the name fishbone chart as seen in Figure 1.Figure 1. Fishbone Diagram (Cinergix Ltd, undated) on that point are three main types of fishbone diagrams namely, the dispersion analysis type, product process classification type, and the cause calculation type. The dispersion analysis type organizes and relates the factors that result in the difference among the product and other processoutcomes. The proceeds process classification type is made by making the steps in the production process be the major ribs of the fishbone diagram. It focuses on each step of the process to determine all possible causes of the error. In the cause enumer ation type, all possible causes that results to the defect is determined and indeed organized to show the relationships to the smell of product of process quality that is being examined (Florac, 1999).II. METHODOLOGYPrior to the exercise, the group identified and listed possible defects in both eggs and mayonnaise. One possible defect was then chosen for each the raw sensible (eggs) and the absolute product (mayonnaise). The possible defects chosen were cracked eggshells and unstable emulsion for the raw material and finished product, respectively. The group then constructed two types of fishbone diagrams (Dispersion Analysis and act upon Classification) for each of the chosen possible defects by identifying and piece of writing its main causes and further causes in the diagram. The diagrams were then analyzed by the group to determine the root cause of the defects and to identify and suggest corrective actions to eliminate it. The effectiveness and efficiency of the correctiv e actions were also considered and analyzed. The group then presented the diagrams to the class.III. SUMMARY OF RESULTS(See Appendix)IV. INTERPRETATION OF RESULTSDispersion analysis and process classification type of fishbone diagrams are used in the analyzation of the causes of the problems identified. Dispersion analysis cause and effect diagrams are structured in such a delegacy that the factors contributing to the problem under study are classified into the standard six which are manpower, methods, materials, measurement, operators, and environments. Process classification diagrams on the other hand are structured in such a mode that the factors are classified according to steps involved in the process (Brassard and Ritter, 1994). In the case of mayonnaise, almost of the steps are sifting, mixing and filling. In terms of emphasis, dispersion analysis CE diagrams are beneficial in such a way that it helps organize and relate the factors that lead up to the problem.However its drawback is that it may fail to identify minor causes that maybe overlooked (Omachonu & Ross, 2005). On the other hand, the advantage of process classification CE diagrams is that is easier to create because it follows the process in a product. However, redundancy may occur. Process classification is often used when the problem encountered cannot be isolated into a single department (Basu, 2011). An example of which is wrong(p) factory workers which may be a reoccurring problem in all steps.This makes it hard to pin point what corrective action should be performed (Omachonu & Ross, 2005). Based on the exercise, it was observed that the use of process classification CE diagrams are more effective in being able to identify the specific causes of errors within a process however dispersion analysis CE diagrams were able to pinpoint general root causes of the problem by narrowing down the sources of errors into the standard six. General corrective actions can be generated utilize disp ersion analysis CE diagrams but process specific corrective actions can be generated from process classification CE diagramsV. REFERENCESBasu, R. (2011). Fit sigma A lean approac to building stustaiable quality beyond six sigma. (1st ed., p. 71). UK keister WIley and Sons Ltd.Brassard, M. and D. Ritter. (1994) The Memory Jogger II A Pocket Guide of Tools for Continuous Improvement & Effective Planning ,Methuen, MA Goal/QPC. Accessed via http//www.goalqpc.comCinergix Ltd. (n.d.). Graphic Organizer Templates. Retrieved January 3, 2012, from Creately http//creately.com/examples/Graphic-Organizer-TemplatesFlorac, W. C. (1999). Measuring the package Process Statistical Process Control for Software Process Improvement. Indianopolis Addison-Wesley Professional.Forman, E. S. (2001). Decision by Objectives How to Convince Others That You Are Right. Washington World Scientific. Omachonu, V. K., & Ross , J. E. (2005). Principles of totaly quality. (3rd ed., p. 265). New York CRC PRess.