Six-sigma for improving Top-Box Customer Satisfaction score for a banking call centre

2015 ◽  
Vol 26 (16) ◽  
pp. 1291-1305 ◽  
Author(s):  
Vijaya Sunder M. ◽  
Jiju Antony
UNISTEK ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 6-10
Author(s):  
Egar Naufal Ari Satya ◽  
Wahyudin Wahyudin

Abstrak. Dunia industri yang semakin berkembang akan mengakibatkan banyaknya persaingan. Perus-ahaan yang dapat bersaing adalah perusahaan yang dapat menjaga  kualitas produknya dengan baik sehingga dapat memenuhi kepuasan konsumen. Maka dari itu diperlukan pengendalian kualitas. Penelitian ini difokuskan pada penurunan cacat pada produk batu bata merah di CV. Ghatan Fatahillah dengan metode Six Sigma-DMAIC (Define, Measure, Analyze, Improve, dan Control). Dari hasil penelitian didapatkan DPMO sebesar 36.212 dengan nilai sigma 3,29. Jenis cacat yang paling sering terjadi pada batu bata merah yaitu pecah/patah yaitu sebesar 4.327 atau 59,81% dari total keseluruhan produk yang cacat.  Hasil dari tahap analyze dengan fishbone diagram, ditetapkan penyebab dari pecah/cacat, yaitu: pekerja kurang paham standar kualitas, tidak adanya pemeriksaan produk, pekerja kurang paham prosedur kerja, kinerja mesin tidak stabil, pekerja kurang teliti,  jumlah penggilingan tidak menentu, dan komposisi batu bata tidak menentu. Maka perlu dilakukan usulan perbaikan agar dapat mengurangi jumlah produk yang cacat pada batu bata merah. Kata kunci: DMAIC, DPMO, Pengendalian Kualitas, Six Sigma Abstract. The growing industrial world will result in a lot of competition. Companies that can compete are companies that can maintain the quality of their products well so that they can meet customer satisfaction. Therefore, quality control is needed. This research is focused on reducing defects in red brick products at CV. Ghatan Fatahillah with the Six Sigma-DMAIC method (Define, Measure, Analyze, Improve, and Control). From the research results obtained DPMO of 36,212 with a sigma value of 3.29. The type of defect that most often occurs in red bricks is broken / broken, which is 4,327 or 59.81% of the total defective products. The results of the Analyze stage with the fishbone diagram showed that the causes of breakage / defects were determined, namely: workers do not understand quality standards, lack of product inspection, workers do not understand work procedures, unstable machine performance, workers are not careful, the number of mills is erratic, and composition erratic bricks. So it is necessary to make improvement proposals in order to reduce the number of defective products in red bricks. Keywords: DMAIC, DPMO, Quality Control, Six Sigma


Author(s):  
M Yani Syafei ◽  
Andi Muhamad Yusuf

PT. FSI is a company engaged in the automotive sector. Increased demand and efforts to meet customer satisfaction, then encouraging companies to continue to make various improvements including the shipping department, which is to facilitate the delivery of products to customers. One of the causes of the delay in the delivery of products to customers (delay delivery) is that there is a problem in the pre-delivery process, namely the storage conveyor machine. A storage conveyor machine is a machine that connects from the results of the production process to the temporary storage of goods which are then put into trucks to be sent to consumers.<br />The objective achieved in this study was to analyze the causes of the delay delivery in the process of shipping car seats on conveyor storage machines and make improvements to reduce the jammed base pallet frequency on the storage conveyor machine using the six sigma method. Based on the results of the research and analysis that have been carried out, it turns out that the case of the jammed base pallet on the conveyor storage machine is the cause of delay delivery to the customer and then make improvement to overcome or reduce the frequency of jammed base pallet problems on the storage conveyor machine by adding sponges to the shaft roller conveyor. The addition of sponge rolls is intended to increase power when moving base pallet between stations.


2012 ◽  
Vol 224 ◽  
pp. 221-224
Author(s):  
Guang Yu Mu ◽  
Wen Xiao Zhang ◽  
Dong Juan Xue ◽  
Lan Lan Pan

The quality improving of locomotive maintenance service is studied based on Six Sigma. The maintenance service progress has been optimized by DMAIC mode. First of all, the quality problems have been proposed. Then, the factors which impact on quality of after-sales service are found by QC tools. Secondly, the main problems in the progress would be controlled conveniently. Finally, the improved maintenance services process is developed correspondingly. In order to ensure the quality of the maintenance in the delivery period, some measures are taken such as adjusting the allocation time in the repair process, developing a strict examination system. The result shows that the maintenance efficiency and customer satisfaction has been improved significantly.


Author(s):  
Alessandro Laureani ◽  
Jiju Antony ◽  
Alex Douglas
Keyword(s):  

2009 ◽  
Vol 26 (6) ◽  
pp. 516-545 ◽  
Author(s):  
Rodney McAdam ◽  
John Davies ◽  
Bill Keogh ◽  
Anthony Finnegan

2010 ◽  
Vol 26-28 ◽  
pp. 1220-1225
Author(s):  
Mao Zhu Jin ◽  
Zhi Wei Zhao

It’s imperative to find appropriate way for company to achieve the goal to quickly respond to customer requirement and increase customer satisfaction. This encouraged them to adopt either Six Sigma for improving process through process interaction or Lean for reducing waste in processes. However, both Six Sigma and Lean have limitations. As a result, the enterprises tend to combine their strengths. This paper represents similarities and differences between Lean, Six Sigma and Kaizen. Furthermore, the integration between the techniques and tools of TQM, Six Sigma and Lean help to find a way integrating Six Sigma and Kaizen. The paper combines Six Sigma with Kaizen Blitz (DMAIC-KB) which is based on advantages of Six Sigma and Kaizen concept under PDCA cycle. This approach emphasizes on small project, customer requirement response and customer satisfaction in short time by detecting, analyzing and improving the problems and dysfunctions during process via process interaction.


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