An Assessment Of Product Returns Related To Non-Conformities In A Chicken Dressing And Processing Company
Volume 2 - Issue 11, November 2018 Edition
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Dr. Aile T. Amorado, Jean S. Magtibay, Ramel M. Manaloand Jenica Marie M. Pulmones
Conformance, Non-Conformities, Process Control, Product Returns.
The study entitled “An Assessment of Product Returns Related to Non-Conformities in a Chicken Dressing and Processing Company” aimed to assess the product returns of the company in relation to non-conformities. Statistical Process Control Tools such as the Pareto Analysis and Cause and Effect Diagram (Ishikawa diagram or Fish-Bone Technique) were used and applied by the researchers to the historical data of their product returns. These tools are incorporated with the 5 Why Analysis in the form of tree diagram. Pareto Analysis was used in order to determine the most occurring product defects or the 80% while the Cause and Effect Diagram was used in determining the causes of product returns. The 5 Why Analysis was also used in order to determine the root causes of product returns. As the study was conducted and performed, the researchers were able to formulate proposed plan of actions in reducing the product returns in which the company may consider for application. It was concluded that man, methods and management of the company are the main reason for the problem. Additional manpower is proposed in order to prevent the accumulation and stack-up of chicken at the tray and repositioning the tray of the chicken are also proposed in order to prevent the throwing movement of the workers. Additional quality tools for awareness such as illustrative charts and graphs installed in different areas wherein workers usually stay and strict supervision are also proposed to the management. On the other hand, materials, machine and environment of the company has a less impact for the product returns. To conclude, all of the aspect of the company contributes to the causes of product returns thus the company must continuously be aware of maintaining and promoting quality.
. Crosby, P. Four Absolutes of Quality Management and 14-Step Quality Improvement Plan.Quality Management System Handbook for Product Development. pp. 2 – 3, 2005. (book style)
. Olivier, D. and Singer, N. Assessing the Cost of Poor Quality: Medical Device and Diagnostic Industry, 2007. (General internet site)
. Montgomery, D. Management Aspects of Quality Improvement. Introduction to Statistical Quality Control.pp. 16 – 17, 2009. (book style)
. Sissonen, J.Poka – Yoke for Mass Customization. The Principle of Poka-yoke Methodology, 2008. (General Internet site)
. Abid, M., Rehman, A., and Anees, M. “How to Minimize the Defects Rate of Final product by the Implementation of DMAIC Tool of Six Sigma. University of Boras.School of Engineering.Swedent.Thesis number 17, 2010. (technical report style)
. Heizer, J. and Render, B. Knowledge of TQM Tools. Operations Management.pp. 232-236, 2011. (book style)
. Ahmad, M. and Ahmad, N. An Application of Pareto and Cause-and-Effect Diagram (CED) For Minimizing Rejection of Raw Materials in Lamp Production Process, 2011.(General Internet site)
. Doshi, J., Kamdar, J., Jani, S. and Chaudhary, S. Root Cause Analysis Using Ishikawa Diagram for Reducing Radiator Rejection, 2012. (General Internet site)
. Casiquin, A.,Eusebio, M., and Lim, F. A System Study on the Credit Investigation Process in Union Bank of the Philippines.Thesis Archive.De La Salle University, 2012. (technical report style)
. Souza, L. and Milton, C. Evaluation of Turbidity Measuring Instruments Using Statistical Process Control. Ciencia e Agro Technologia Vol. 36 No.4, 2012. (journal)