scholarly journals Process Discovery Driven Process Optimization: A Case Study to the Recruitment of State Personnel in Cameroon

Author(s):  
Gaëlle Laetitia Mouafo Mapikou ◽  
Atsa Etoundi Roger
TEM Journal ◽  
2021 ◽  
pp. 1336-1347
Author(s):  
Peter Malega ◽  
Naqib Daneshjo ◽  
Vladimír Rudy ◽  
Peter Drábik

The goal of this paper is to find suitable solutions for process optimization using PDCA methodology and quality management tools. It was realized in the company that is oriented on the assembly of key sets, locks and handles. It analyzes chosen assembly processes, their critical points and identifies root causes of problems that might occur during assembly. For this purpose, different quality methods and tools are used. In this paper there are also defined the corrective actions to avoid recurrence of identified problems, implementation of these actions in production process and its standardization.


2015 ◽  
Vol 72 ◽  
pp. 461-468 ◽  
Author(s):  
Iq Reviessay Pulshashi ◽  
Hyerim Bae ◽  
Riska Asriana Sutrisnowati ◽  
Bernardo Nugroho Yahya ◽  
Sanghyuck Park

ChemSusChem ◽  
2014 ◽  
Vol 7 (12) ◽  
pp. 3521-3533 ◽  
Author(s):  
Denise Ott ◽  
Dana Kralisch ◽  
Ivana Denčić ◽  
Volker Hessel ◽  
Yosra Laribi ◽  
...  

2007 ◽  
Vol 2007 (15) ◽  
pp. 3266-3284
Author(s):  
Zhifei Hu ◽  
Jes Alexant ◽  
Brian Edwards ◽  
Jamie Quesnel

2021 ◽  
Author(s):  
Valentin Reungoat ◽  
Morad Chadni ◽  
Irina Ioannou

The response surface methodology (RSM) is a relevant mathematical and statistical tool for process optimization. A state of the art on the optimization of the extraction of phenolic compounds from Brassica has shown that this approach is not sufficiently used. The reason for this is certainly an apparent complexity in comparison with the implementation of a one-factor-at-a-time (OFAT) optimization. The objective of this chapter is to show how one implement the response surface methodology in a didactic way on a case study: the extraction of sinapine from mustard bran. Using this approach, prediction models have been developed and validated to predict the sinapine content extracted as well as the purity of the extract in sinapine. The methodology presented in this chapter can be reproduced on any other application in the field of process engineering.


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