Automation of product defect detection in a production system

Author(s):  
Pivarciova Elena ◽  
Bezak Pavol ◽  
Iringova Miriam
Author(s):  
Zihao Huang ◽  
Hong Xiao ◽  
Tao Wang ◽  
Junhao Zhou

Author(s):  
Chih-Hsueh Lin ◽  
Chia-Wei Ho ◽  
Guo-Hsin Hu ◽  
Po-Chun Kuo ◽  
Chia-Yen Hu

2020 ◽  
Vol 11 (1) ◽  
pp. 71
Author(s):  
Winny Alna Marlina ◽  
Khairi Khairi ◽  
Poni Poni

<div><p class="1eAbstract-text"><em>Based on Survey data in 2018, Payakumbuh has a cracker industry of 44%, a wet cake industry 37%, 11% of the food industry which is not yet included in any group, and 8% of the bread and similar industries. One of the SMEs that produce Sanjai in Payakumbuh is Sanjai Rina. Sanjai Rina's business has been established since 1990. The production system at Sanjai Rina is still simple in its processing, so there are defective products every month. The number of defects in December 2018 will be 50 kg, with a production of 3300 kg. For this reason, Six Sigma at Rina Payakumbuh MSMEs for Minimizing Defect Sanjai Products.</em><em> </em><em>The use of Six Sigma to prevent and reduce product defects, save costs, and customer satisfaction. Results Sigma scores of Sanjai defective products at Rina's UMKM were 4% and exceeded Sigma's standard by 3%. In minimizing defects in Sanjai products by using the Six Sigma methodology, which includes DMAIC. Sanjai Rina's product damage classification consists of 32% because the packaging is caused by plastics exposed to the heat of the frying pan, 29.8% due to expired products, and 38.2% technical problems, namely a large number of requests by the retailer due to running out of stock. Technical errors cause the most significant product defect, so UKM Rina will provide training to employees and provide training in producing sanjai to minimize the number of defective products to increase company profits</em><em>.</em></p></div>


Author(s):  
Tao Wang ◽  
Junhao Zhou ◽  
Zihao Huang ◽  
Hong Xiao

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Xinfeng Lai ◽  
Zhixiang Chen ◽  
Bibhas C. Giri ◽  
Chun-Hung Chiu

This paper develops two integrated optimization models of two-echelon inventory for imperfect production system under quality competition environment, in which the vendor’s production process is assumed to be imperfect, and JIT delivery policy is implemented to ship product from the vendor to the buyer. In the first model, product defect rate is fixed, and, in the second model, quality improvement investment is function of defect rate. The optimal policies of ordering quantity of buyer and shipment from vendor to buyer are obtained to minimize the expected annual total cost of vendor and buyer. Numerical examples are used to demonstrate the effectiveness and feasibility of the models. Sensitivity analysis is taken to analyze the impact of demand, production rate, and defect rate on the solution. Implications are highlighted in that both the vendor and the buyer can benefit from the vendor’s investing in quality improvement.


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