scholarly journals Special Issue on Performance Measurement and Optimization for Sustainable Production Processes Improvement

Processes ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 287
Author(s):  
Changhee Kim
Keyword(s):  
Performance Measurement ◽  
Production Process ◽  
Process Improvement ◽  
Sustainable Production ◽  
Special Issue ◽  
Production Processes ◽  
Development Plans

Sustainable production process improvement is very important for all enterprises as its implementation can help them to achieve development plans, scheduling, and reduce costs and pollution [...]

scholarly journals Exergy efficiency of thermochemical syngas-to-ethanol production plants

2021 ◽  
Vol 3 (5) ◽  
Author(s):  
Marcos Paulo Gabriel da Costa e Silva ◽  
Júlio Cesar de Carvalho Miranda
Keyword(s):  
Ethanol Production ◽  
Process Improvement ◽  
Second Generation ◽  
Exergy Efficiency ◽  
Exergy Destruction ◽  
Exothermic Reactions ◽  
Production Processes ◽  
Different Temperatures ◽  
Exergy Analyses ◽  
Second Generation Ethanol

Abstract This work presents exergy analyses applied in four different conceptual second-generation ethanol production processes through a thermochemical route using catalysts based on Molybdenum (P-1), Copper (P-2), and Rhodium (P-3 and P-4), aiming to assess their exergetic efficiencies. The results show that the conceptual processes have satisfactory exergy efficiencies in both cases, when compared among themselves and when compared with other processes reported in literature. The processes’ efficiency for P-1, P-2, P-3 and P-4 were, respectively, 52.4%, 41.4%, 43.7% and 48.9%. The reactors were the sections in which exergy destruction was more significant, due to the exothermic reactions and mixing points (where streams with different temperatures were mixed). Such results show the potential of thermochemical ethanol production, besides opening the possibilities of process improvement. Graphic abstract

scholarly journals Application of the Deep CNN-Based Method in Industrial System for Wire Marking Identification

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3659
Author(s):  
Andrzej Szajna ◽  
Mariusz Kostrzewski ◽  
Krzysztof Ciebiera ◽  
Roman Stryjski ◽  
Waldemar Woźniak
Keyword(s):  
Production Process ◽  
Process Development ◽  
Process Time ◽  
Industrial System ◽  
Assembly Process ◽  
Production Environment ◽  
Deep Convolutional Neural Networks ◽  
Control Cabinet ◽  
Production Processes ◽  
The Wire

Industry 4.0, a term invented by Wolfgang Wahlster in Germany, is celebrating its 10th anniversary in 2021. Still, the digitalization of the production environment is one of the hottest topics in the computer science departments at universities and companies. Optimization of production processes or redefinition of the production concepts is meaningful in light of the current industrial and research agendas. Both the mentioned optimization and redefinition are considered in numerous subtopics and technologies. One of the most significant topics in these areas is the newest findings and applications of artificial intelligence (AI)—machine learning (ML) and deep convolutional neural networks (DCNNs). The authors invented a method and device that supports the wiring assembly in the control cabinet production process, namely, the Wire Label Reader (WLR) industrial system. The implementation of this device was a big technical challenge. It required very advanced IT technologies, ML, image recognition, and DCNN as well. This paper focuses on an in-depth description of the underlying methodology of this device, its construction, and foremostly, the assembly industrial processes, through which this device is implemented. It was significant for the authors to validate the usability of the device within mentioned production processes and to express both advantages and challenges connected to such assembly process development. The authors noted that in-depth studies connected to the effects of AI applications in the presented area are sparse. Further, the idea of the WLR device is presented while also including results of DCNN training (with recognition results of 99.7% although challenging conditions), the device implementation in the wire assembly production process, and its users’ opinions. The authors have analyzed how the WLR affects assembly process time and energy consumption, and accordingly, the advantages and challenges of the device. Among the most impressive results of the WLR implementation in the assembly process one can be mentioned—the device ensures significant process time reduction regardless of the number of characters printed on a wire.

Analysis of Production Process Improvement with Life Cycle Assessment Technology˜ Example of HDPE Pipe Manufacturing

2007 ◽  
Vol 8 (2) ◽  
pp. 32-56
Author(s):  
Shiaw‐Wen Tien ◽  
Chung‐Ching Chiu ◽  
Yi‐Chan Chung ◽  
Chih‐Hung Tsai ◽  
Chin‐Fa Chang
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Production Process ◽  
Process Improvement ◽  
Hdpe Pipe ◽  
Assessment Technology ◽  
Pipe Manufacturing

Microworld Development

2008 ◽  
Vol 40 (1) ◽  
pp. 84-97 ◽  
Author(s):  
Mathias M. Fischer ◽  
Federico Barnabè
Keyword(s):  
Production Process ◽  
Model Building ◽  
Calcium Carbide ◽  
Group Model ◽  
Interactive Learning Environment ◽  
Industrial Firms ◽  
Chemical Company ◽  
Production Processes ◽  
Computer Based ◽  
Building Project

The article presents the outcomes of a group model-building project at a chemical company that produces calcium carbide. The project led not only to the creation of a system dynamics model describing the production process but also to a microworld, a computer-based interactive learning environment meant to reproduce most of the features of the operating and controlling software actually used in the company. The process of organizational learning, the gaining of a better common understanding of the production process, and the development of the different mental models of the plant operators were some of the project's main goals. Moreover, the method followed during the project can be considered as general and can be used mainly in a variety of production processes in most manufacturing industrial firms both for the modeling of production processes and for teaching and training the operators who manage such systems.

scholarly journals The stability of major and trace element concentrations from musts to Champagne during the production process

OENO One ◽  
2022 ◽  
Vol 56 (1) ◽  
pp. 29-40
Author(s):  
Robin Cellier ◽  
Sylvain Berail ◽  
Ekaterina Epova ◽  
Julien Barre ◽  
Fanny Claverie ◽  
...  
Keyword(s):  
Trace Elements ◽  
Production Process ◽  
Trace Element ◽  
Narrow Range ◽  
Grape Juice ◽  
Elemental Concentrations ◽  
Element Concentrations ◽  
Production Processes ◽  
Overall Stability ◽  
The Stability

Thirty-nine Champagnes from six different brands originating from the AOC Champagne area were analyzed for major and trace element concentrations in the context of their production processes and in relation to their geographical origins. Inorganic analyses were performed on the must (i.e., grape juice) originating from different AOC areas and the final Champagne. The observed elemental concentrations displayed a very narrow range of variability. Typical concentrations observed in Champagne are expressed in mg/L for elements such as K, Ca, Mg, Na, B, Fe, A, and Mn. They are expressed in µg/L for trace elements such as Sr, Rb, Ba, Cu, Ni, Pb Cr and Li in decreasing order of concentrations. This overall homogeneity was observed for Sr and Rb in particular, which showed a very narrow range of concentrations (150 < Rb < 300 µg/L and 150 < Sr < 350 µg/L) in Champagne. The musts contained similar levels of concentration but showed slightly higher variability since they are directly influenced by the bedrock, which is quite homogenous in the AOC area being studied. Besides the homogeneity of the bedrock, the overall stability of the concentrations recorded in the samples can also be directly linked to the successive blending steps, both at the must level and prior to the final bottling. A detailed analysis of the main additives, sugar, yeast and bentonite, during the Champagne production process, did not show a major impact on the elemental signature of Champagne.

scholarly journals Sustainable Production Process of Biological Mineral Feed Additives

2009 ◽  
Vol 6 (6) ◽  
pp. 1093-1105 ◽  
Author(s):  
Agnieszka Zielinska ◽  
Katarzyna Chojnacka ◽  
Marjana Simonic
Keyword(s):  
Production Process ◽  
Sustainable Production ◽  
Feed Additives ◽  
Mineral Feed Additives

Developing and Using an Expert System for Planning the Production of Structural Piece-Parts

1992 ◽  
Vol 8 (03) ◽  
pp. 163-183
Author(s):  
Mark Spicknall
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Production Process ◽  
Production Facility ◽  
Inference Process ◽  
Expert System Shell ◽  
Production Processes ◽  
Potential Applications ◽  
Part Production

This paper presents an example of how expert systems can be developed and used for planning structural piece-part production. First, expert systems are briefly and generically described. Then the production processes within a shipyard-like structural piece-part production facility are defined within an expert system "shell"; that is, the "objects," "attributes," and "rules" describing the production process are established and explained. Then various structural piece-parts are described to the system and the system identifies the required production processes for each described part. The inference process underlying the identification of these processes is described for each of these parts. Finally, potential applications of expert systems to other areas of shipbuilding operations are discussed.

Effect of Knowledge Sharing and Supply Chain Management on Organizational Performance

2016 ◽  
pp. 1524-1538
Author(s):  
Korhan Arun
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Performance Measurement ◽  
Knowledge Sharing ◽  
Organizational Performance ◽  
Chain Management ◽  
Proprietary Information ◽  
Production Processes ◽  
Scor Model ◽  
Overall Performance

Low priced and attainable information technology has made it possible to connect critical and proprietary information with supply chain partners, because of ever growing size, complexity, 7/24 system ability, evolved production processes etc. need flow of knowledge continuously. The knowledge integrated in the supply chain management (SCM) systems affects both supply chain and organizational performance. But since there is no single entity on performance an effective systematically approach to performance measurement could not be established. Generally in previous studies, organizational performance hasn`t been measured within the terms of SCM but if integral unit endeavor performance can be judged by so the overall performance can be judged by its departments` efforts. So SCOR model is chosen because important supply chain characteristics and their associated interactions aren't ignored. And organizational performance is reciprocal that performance measurement is taken a system for integrating the management of supply chain and knowledge. Therefore the objectives of the study were appeared to be correlation levels and relationships between knowledge sharing, SCM and organizational performance. This study is unique in terms of the dimensions that are being investigated in Turkey. While there are studies on SCM and knowledge sharing, each examined alone, this study tried to undercover the relationships between these two terms.

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