Extending SOSJ framework for large-scale dynamic manufacturing systems

2016 ◽  
Author(s):  
Udayanto Dwi Atmojo ◽  
Zoran Salcic ◽  
Kevin I-Kai Wang
Keyword(s):  
Manufacturing Systems ◽  
Large Scale

scholarly journals Comparative Analysis of the Life-Cycle Cost of Robot Substitution: A Case of Automobile Welding Production in China

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 226
Author(s):  
Xuyang Zhao ◽  
Cisheng Wu ◽  
Duanyong Liu
Keyword(s):  
Life Cycle ◽  
Systems Engineering ◽  
Life Cycle Cost ◽  
Manufacturing Systems ◽  
Large Scale ◽  
Cost Allocation ◽  
Industrial Robot ◽  
Case Analysis ◽  
Industrial Robots ◽  
Analysis Model

Within the context of the large-scale application of industrial robots, methods of analyzing the life-cycle cost (LCC) of industrial robot production have shown considerable developments, but there remains a lack of methods that allow for the examination of robot substitution. Taking inspiration from the symmetry philosophy in manufacturing systems engineering, this article further establishes a comparative LCC analysis model to compare the LCC of the industrial robot production with traditional production at the same time. This model introduces intangible costs (covering idle loss, efficiency loss and defect loss) to supplement the actual costs and comprehensively uses various methods for cost allocation and variable estimation to conduct total cost and the cost efficiency analysis, together with hierarchical decomposition and dynamic comparison. To demonstrate the model, an investigation of a Chinese automobile manufacturer is provided to compare the LCC of welding robot production with that of manual welding production; methods of case analysis and simulation are combined, and a thorough comparison is done with related existing works to show the validity of this framework. In accordance with this study, a simple template is developed to support the decision-making analysis of the application and cost management of industrial robots. In addition, the case analysis and simulations can provide references for enterprises in emerging markets in relation to robot substitution.

scholarly journals Prioritizing Digitalization Use Cases during Early Development Phases of Large Scale Manufacturing Systems

2019 ◽  
Vol 28 ◽  
pp. 37-42
Author(s):  
Heiner Heimes ◽  
Achim Kampker ◽  
Ulrich Bührer ◽  
Paul Schroth ◽  
Stefan Krotil
Keyword(s):  
Early Development ◽  
Manufacturing Systems ◽  
Large Scale ◽  
Use Cases ◽  
Development Phases

Energy Consumption Reduction for Sustainable Manufacturing Systems Considering Machines With Multiple-Power States

2011 ◽  
Author(s):  
Zeyi Sun ◽  
Stephan Biller ◽  
Fangming Gu ◽  
Lin Li
Keyword(s):  
Energy Efficiency ◽  
Manufacturing Systems ◽  
Large Scale ◽  
Manufacturing System ◽  
Production Systems ◽  
Sustainable Manufacturing ◽  
System Level ◽  
Model Estimate ◽  
Improve Energy Efficiency ◽  
Multiple Power

Due to rapid consumption of world’s fossil fuel resources and impracticality of large-scale application and production of renewable energy, the significance of energy efficiency improvement of current available energy modes has been widely realized by both industry and academia. A great deal of research has been implemented to identify, model, estimate, and optimize energy efficiency of single-machine manufacturing system [1–5], but very little work has been done towards achieving the optimal energy efficiency for a typical manufacturing system with multiple machines. In this paper, we analyze the opportunity of energy saving on the system level and propose a new approach to improve energy efficiency for sustainable production systems considering the fact that more and more modern machines have multiple power states. Numerical case based on simulation model of an automotive assembly line is used to illustrate the effectiveness of the proposed approach.

Research on the Creation of Small-Scale English-Chinese Parallel Corpus for Manufacturing Systems

2013 ◽  
Vol 421 ◽  
pp. 725-730
Author(s):  
Song Bin Bao
Keyword(s):  
Teaching And Learning ◽  
Manufacturing Systems ◽  
Large Scale ◽  
Small Scale ◽  
Chinese Word Segmentation ◽  
Translation Memory ◽  
Parallel Corpus ◽  
Novel Method ◽  
Chinese Texts ◽  
Education In China

English, which is specially used in the field of manufacturing systems, belongs to ESP (English for specific purposes). In order to improve the effect of ESP education in China, it is very necessary to create an English-Chinese parallel corpus for aiding ESP teaching and learning. In this paper, a novel method is presented to create a small-scale English-Chinese parallel corpus by means of TMS (translation memory system). Firstly, the suitable English and Chinese texts are collected from network, publication and human translation; secondly, The English and Chinese texts are aligned and formatted by using the related TMS functions; then Chinese texts are split into words by using ICWSS (Intelligent Chinese Word Segmentation System); finally, the English-Chinese corpus is stored in cloud database. This small-scale English-Chinese parallel corpus can be searched through ParaConc and meet the basic needs of ESP teaching and learning. Since the method does not need to design new algorithm nor develop new software system, the construction of the corpus is much easier and more flexible compared to general large-scale corpus.

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