scholarly journals METHOD OF PDCA AND TOOLS OF QUALITY IN THE MANAGEMENT OF INDUSTRIAL PROCESSES: A CASE STUDY

2006 ◽  
Vol 2 (2) ◽  
Author(s):  
Celso Antonio Mariani
Keyword(s):  
Holzforschung ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ricardo Jorge Oliveira ◽  
Bruna Santos ◽  
Maria J. Mota ◽  
Susana R. Pereira ◽  
Pedro C. Branco ◽  
...  

Abstract Lignocellulosic biomass represents a suitable feedstock for production of biofuels and bioproducts. Its chemical composition depends on many aspects (e.g. plant source, pre-processing) and it has impact on productivity of industrial bioprocesses. Numerous methodologies can be applied for biomass characterisation, with acid hydrolysis being a particularly relevant step. This study intended to assess the most suitable procedures for acid hydrolysis, taking Eucalyptus globulus bark as a case study. For that purpose, variation of temperature (90–120 °C) was evaluated over time (0–5 h), through monosaccharides and oligosaccharides contents and degradation. For glucose, the optimal conditions were 100 °C for 2.5 h, reaching a content of 48.6 wt.%. For xylose, the highest content (15.2 wt.%) was achieved at 90 °C for 2 h, or 120 °C for 0.5 h. Maximum concentrations of mannose and galactose (1.0 and 1.7 wt.%, respectively) were achieved at 90 and 100 °C (2–3.5 h) or at 120 °C (0.5–1 h). These results revealed that different hydrolysis conditions should be applied for different sugars. Using this approach, total sugar quantification in eucalyptus bark was increased by 4.3%, which would represent a 5% increase in the ethanol volume produced, considering a hypothetical bioethanol production yield. This reflects the importance of feedstock characterization on determination of economic viability of industrial processes.


Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3324 ◽  
Author(s):  
Bou Malham ◽  
Zoughaib ◽  
Tinoco ◽  
Schuhler

In the light of the alarming impending energy scene, energy efficiency and exergy efficiency are unmistakably gathering momentum. Among efficient process design methodologies, literature suggests pinch analysis and exergy analysis as two powerful thermodynamic methods, each showing certain drawbacks, however. In this perspective, this article puts forward a methodology that couples pinch and exergy analysis in a way to surpass their individual limitations in the aim of generating optimal operating conditions and topology for industrial processes. Using new optimizing exergy‐based criteria, exergy analysis is used not only to assess the exergy but also to guide the potential improvements in industrial processes structure and operating conditions. And while pinch analysis considers only heat integration to satisfy existent needs, the proposed methodology allows including other forms of recoverable exergy and explores new synergy pathways through conversion systems. A simple case study is proposed to demonstrate the applicability and efficiency of the proposed method.


2018 ◽  
Vol 264 (1) ◽  
pp. 294-309 ◽  
Author(s):  
Srinivas Soumitri Miriyala ◽  
Venkat R. Subramanian ◽  
Kishalay Mitra

2014 ◽  
Vol 518 ◽  
pp. 155-160
Author(s):  
Ângelo Márcio Oliveira Sant’Anna ◽  
Danilo Marcondes Filho

The use of the regression model is usually applied in experimental mechanics processes and allowing for modeling the relationship between one or more process variables. Besides, the regression models are used for monitoring of response variables as function of one or more process variables. The scheme is based on the residuals deviance from regression model for detecting any disturbance in the control variables. This paper presents the control charts from modeling of an experimental mechanic industrial processes that involve count variables. We illustrated the performance of scheme to case study based on real process.


2016 ◽  
Vol 183 ◽  
pp. 121-132 ◽  
Author(s):  
Henrik von Storch ◽  
Martin Roeb ◽  
Hannes Stadler ◽  
Christian Sattler ◽  
André Bardow ◽  
...  
Keyword(s):  

2019 ◽  
Vol 292 ◽  
pp. 01019
Author(s):  
Mehtap Dursun ◽  
Nazli Goker

Energy is a basic need for achieving quality of life and the level of welfare. Chemical or nuclear energy are released as heat in the wake of a reaction between fuel and other substances. Heat is used for warming, cooking, or industrial processes. This paper presents an integrated multiple criteria decision making framework for fuel provider selection in food industry. Evaluation factors are named as lead time, reliability, sustainability, cost, service quality, location and warranties. To demonstrate the robustness of the application, a numerical illustration is provided by conducting a case study in food industry of Turkey.


2014 ◽  
Vol 6 (6) ◽  
pp. 3669-3685 ◽  
Author(s):  
Zuoxi Liu ◽  
Huijuan Dong ◽  
Yong Geng ◽  
Chengpeng Lu ◽  
Wanxia Ren

Sign in / Sign up

Export Citation Format

Share Document