@ARTICLE{Andry_Johanes_Fernandes_Supply_2022,
 author={Andry, Johanes Fernandes and Nurprihatin, Filscha and Liliana, Lydia},
 volume={vol. 13},
 number={No 4},
 pages={72-87},
 journal={Management and Production Engineering Review},
 howpublished={online},
 year={2022},
 publisher={Production Engineering Committee of the Polish Academy of Sciences, Polish Association for Production Management},
 abstract={Supply Chain Management (SCM) is a very important part of the industrial world, especially in the manufacturing sector. The development of the business world affects the complexity of the supply chain due to the lack of logistics infrastructure, quality of materials and components, and much more. Supply chain disruption risk mapping needs to be done due to high uncertainty, which is overcome by implementing a decision support system. Based on the background of the problem, supply chain disruption mapping uses the help of the Six Sigma method, which consists of 5 stages: Define, Measure, Analyze, Improve, and Control (DMAIC). The measurement of disturbance also uses the Failure Mode and Effect Analysis (FMEA) approach to prioritize risk. Risks that have a high assessment and cause failure need to be prioritized for improvement. This study aims to map supply chain disruptions in the current manufacturing industry based on the barriers, resistances, and causes detected for making a decision support system prototype. By implementing a decision support system in the supply chain process, it is},
 type={Article},
 title={Supply Chain Disruptions Mitigation Plan Using Six Sigma Method for Sustainable Technology Infrastructure},
 URL={http://www.czasopisma.pan.pl/Content/125643/PDF/8_848_int.pdf},
 doi={10.24425/mper.2022.142397},
 keywords={supply chain management, Six Sigma, FMEA, Decision Support System},
}