Nonuniformity in Lethality and Quality in Thermal Process Optimization: A Case Study on Color Degradation of Green Peas

2003 ◽  
Vol 68 (2) ◽  
pp. 545-550 ◽  
Author(s):  
C. Smout ◽  
N.E. Banadda ◽  
A.M.L. Loey ◽  
M.E.G. Hendrickx
Keyword(s):  
Process Optimization ◽  
Thermal Process ◽  
Color Degradation ◽  
Green Peas

scholarly journals PDCA Cycle – Tool for Improvement of the Business Processes – Case Study

TEM Journal ◽  
2021 ◽  
pp. 1336-1347
Author(s):  
Peter Malega ◽  
Naqib Daneshjo ◽  
Vladimír Rudy ◽  
Peter Drábik
Keyword(s):  
Quality Management ◽  
Production Process ◽  
Process Optimization ◽  
Critical Points ◽  
Business Processes ◽  
Management Tools ◽  
Pdca Cycle ◽  
Corrective Actions

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.

Integrated Thermal Process Optimization of Alloy 718Plus® for Additive Manufacturing

2016 ◽  
pp. 1031-1040 ◽  
Author(s):  
Jiadong Gong ◽  
Hallee Z. Deutchman ◽  
Alonso Peralta ◽  
Dave Snyder ◽  
Michael P. Enright ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Process Optimization ◽  
Thermal Process

Life Cycle Analysis within Pharmaceutical Process Optimization and Intensification: Case Study of Active Pharmaceutical Ingredient Production

ChemSusChem ◽  
2014 ◽  
Vol 7 (12) ◽  
pp. 3521-3533 ◽  
Author(s):  
Denise Ott ◽  
Dana Kralisch ◽  
Ivana Denčić ◽  
Volker Hessel ◽  
Yosra Laribi ◽  
...  
Keyword(s):  
Life Cycle ◽  
Process Optimization ◽  
Life Cycle Analysis ◽  
Active Pharmaceutical Ingredient

PROCESS OPTIMIZATION FOR O&M COST SAVINGS A CASE STUDY FOR GOLD MINING EFFLUENT TREATMENT

2007 ◽  
Vol 2007 (15) ◽  
pp. 3266-3284
Author(s):  
Zhifei Hu ◽  
Jes Alexant ◽  
Brian Edwards ◽  
Jamie Quesnel
Keyword(s):  
Process Optimization ◽  
Gold Mining ◽  
Cost Savings ◽  
Effluent Treatment ◽  
Mining Effluent

Kinetic parameters of surface color degradation of canned fresh green peas sterilized in a rotary retort

LWT ◽  
2008 ◽  
Vol 41 (3) ◽  
pp. 408-413 ◽  
Author(s):  
Raúl L. Garrote ◽  
Enrique R. Silva ◽  
Rubén D. Roa ◽  
Ricardo A. Bertone
Keyword(s):  
Kinetic Parameters ◽  
Surface Color ◽  
Color Degradation ◽  
Green Peas

scholarly journals Response Surface Methodology Applied to the Optimization of Phenolic Compound Extraction from Brassica

2021 ◽  
Author(s):  
Valentin Reungoat ◽  
Morad Chadni ◽  
Irina Ioannou
Keyword(s):  
Response Surface Methodology ◽  
Phenolic Compounds ◽  
Response Surface ◽  
Phenolic Compound ◽  
Process Optimization ◽  
Prediction Models ◽  
State Of The Art ◽  
Process Engineering ◽  
Statistical Tool

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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