Cost of Quality as a Driver for Continuous Improvement – Case Study – Company X
Davison Zimwara1, Lameck Mugwagwa2, Daniel Maringa3, Albert Mnkandla4, Lindleen Mugwagwa5, Tendai Talent Ngwarati6
1Davison Zimwara, Dept. of Industrial and Manufacturing Engineering, National University of Science and Technology, Bulawayo, ZIMBABWE.
2Lameck Mugwagwa, Dept. of Industrial and Manufacturing Engineering, National University of Science and Technology, Bulawayo, ZIMBABWE.
3Daniel Maringa, MSc Student, Dept. of Industrial and Manufacturing Engineering, National University of Science and Technology, Bulawayo, ZIMBABWE.
4Albert Mnkandla, MSc Student, Dept. of Industrial and Manufacturing Engineering, National University of Science and Technology, Bulawayo, ZIMBABWE.
5Lindleen Mugwagwa, MSc Student, Dept. of Industrial and Manufacturing Engineering, National University of Science and Technology, Bulawayo, ZIMBABWE.
6Tendai Talent Ngwarati, MSc Student, Dept. of Industrial and Manufacturing Engineering, National University of Science and Technology, Bulawayo, ZIMBABWE.
Manuscript received on 09 January 2013 | Revised Manuscript received on 18 January 2013 | Manuscript Published on 30 January 2013 | PP: 132-139 | Volume-2 Issue-2, January 2013 | Retrieval Number: B0378012213 /2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the manufacturing, metal casting industry is one of the oldest basic principal and most important industries. The casting process is hindered by the occurrence of various defects. High casting reject levels and customer returns have a considerable adverse effect on productivity, delivery performance, customer satisfaction and employee morale. In addition excessive rejection reduces yield, wastes valuable raw materials and involves management time in problem solving. All foundry processes generate a certain level of rejection that is closely related to the type of casting, the processes used and the equipment available. This paper seeks to establish the extent to which cost of quality can impact on continuous improvement of the products and the relationship with the customers of the organization. To determine the cost of quality (COQ) at casting company X, the researchers used existing company records, publications and historical evidence of the company. The researchers utilized techniques such as, bar charts and tables in presenting and interpreting data. The above techniques have the ability to provide methods for collecting, presenting, and analysis and meaningfully interpret data. The research findings estimated the COQ to be 6.6% of sales revenue.
Keywords: Cost of quality; casting; continuous improvement
Scope of the Article: Manufacturing IoT