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 Fault diagnosis of industrial robot reducer by an extreme learning machine with a level-based learning swarm optimizer

2021 ◽  
Vol 13 (5) ◽  
pp. 168781402110195
Author(s):  
Jianwen Guo ◽  
Xiaoyan Li ◽  
Zhenpeng Lao ◽  
Yandong Luo ◽  
Jiapeng Wu ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Extreme Learning Machine ◽  
Large Scale ◽  
Production Efficiency ◽  
Industrial Robot ◽  
Optimal Solution ◽  
Industrial Robots ◽  
Generalization Performance ◽  
Gradient Descent Algorithm ◽  
Learning Machine

Fault diagnosis is of great significance to improve the production efficiency and accuracy of industrial robots. Compared with the traditional gradient descent algorithm, the extreme learning machine (ELM) has the advantage of fast computing speed, but the input weights and the hidden node biases that are obtained at random affects the accuracy and generalization performance of ELM. However, the level-based learning swarm optimizer algorithm (LLSO) can quickly and effectively find the global optimal solution of large-scale problems, and can be used to solve the optimal combination of large-scale input weights and hidden biases in ELM. This paper proposes an extreme learning machine with a level-based learning swarm optimizer (LLSO-ELM) for fault diagnosis of industrial robot RV reducer. The model is tested by combining the attitude data of reducer gear under different fault modes. Compared with ELM, the experimental results show that this method has good stability and generalization performance.

scholarly journals BIM-VE-Based Optimization of Green Building Envelope from the Perspective of both Energy Saving and Life Cycle Cost

2020 ◽  
Vol 12 (19) ◽  
pp. 7862
Author(s):  
Zhenmin Yuan ◽  
Jianliang Zhou ◽  
Yaning Qiao ◽  
Yadi Zhang ◽  
Dandan Liu ◽  
...  
Keyword(s):  
Life Cycle ◽  
Energy Saving ◽  
Life Cycle Cost ◽  
Architectural Design ◽  
Green Building ◽  
Building Energy ◽  
Green Buildings ◽  
Building Envelope ◽  
Analysis Model ◽  
Mathematical Formula

In the context of the increasingly severe energy crisis and global warming, green buildings and their energy-saving issues are being paid more attention in the world. Since envelope optimization can significantly reduce the energy consumption of green buildings, value engineering (VE) technology and building information modeling (BIM) technology are used to optimize the envelope of green buildings, which takes into account both energy saving and life cycle cost. The theoretical framework of optimization for green building envelope based on BIM-VE is proposed, including a BIM model for architecture, a life cycle cost analysis model, energy-saving analysis model, and a value analysis model. In the life-cycle cost model, a mathematical formula for the life-cycle cost is established, and BIM technology is used to generate a bill of quantity. In the energy-saving analysis model, a mathematical formula for energy saving is established, and BIM technology is used for the building energy simulation. In the scheme decision-making sub-model, VE technology integrating life cycle cost with energy saving is used to assess the envelope schemes and select the optimal one. A prefabricated project case is used to simulate and test the established methodology. The important results show that the 16 envelope schemes make the 16 corresponding designed buildings meet the green building evaluation standards, and the optimal envelope scheme is the “energy-saving and anti-theft door + exterior window 2+ floor 1+ exterior wall 1 + inner shear wall + inner partition wall 2 + planted roof” with the value 10.80 × 10−2 MW·h/ten thousand yuan. A significant finding is that the value generally rises with the increase of energy-saving rate while the life cycle cost is irregular with the increase of energy-saving rate. Compared with previous efforts in the literature, this study introduces VE technology into architectural design to further expand the current boundary of building energy-saving theory. The findings and suggestions will provide a valuable reference and guidance for the architectural design industry to optimize the envelope of green buildings from the perspective of both energy saving and life cycle cost.

Lebenszyklusbetrachtungen im Planungsprozess*/Life-cycle costing in the planning process - Integration of a life-cycle cost analysis for production technologies in the automotive body shop

2016 ◽  
Vol 106 (01-02) ◽  
pp. 89-93
Author(s):  
M. Bornschlegl ◽  
A. Müller ◽  
M. Bregulla ◽  
F. Mantwill ◽  
J. Franke
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Manufacturing Systems ◽  
Planning Process ◽  
Process Integration ◽  
Life Cycle Costs ◽  
Life Cycle Cost Analysis ◽  
Automotive Body ◽  
Applied Technology ◽  
Production Technologies

Die Betriebskosten von Fertigungsanlagen haben – abhängig von der jeweiligen eingesetzten Technologie – einen signifikanten Anteil an den Lebenszykluskosten. Aus diesem Grund ist es essentiell, diese bereits in der Planungsphase zu berücksichtigen, um nachhaltige Entscheidungen treffen zu können. Dabei liegt der Schwerpunkt insbesondere bei den Schulungs-, Energie- und Instandhaltungskosten. Dazu werden in diesem Fachartikel wesentliche Kostenelemente und Herausforderungen aufgezeigt.   The operating costs of manufacturing systems represent a significant part of the life-cycle costs, depending on the applied technology. For this reason, it is essential to take them into account during the planning phase in order to make sustainable decisions. The focus is mostly on costs for training, energy and maintenance. Therefore, the key cost elements and challenges are pointed out in this article.

scholarly journals Comparison and Evaluation of Large-Scale and On-Site Recycling Systems for Food Waste via Life Cycle Cost Analysis

2017 ◽  
Vol 9 (12) ◽  
pp. 2186 ◽  
Author(s):  
Kyoung Lee ◽  
Jeong-ik Oh ◽  
Kyoung Chu ◽  
Suk Kwon ◽  
Sung Yoo
Keyword(s):  
Life Cycle ◽  
Cost Analysis ◽  
Food Waste ◽  
Life Cycle Cost ◽  
Large Scale ◽  
Life Cycle Cost Analysis ◽  
Recycling Systems

Best Project Management and Systems Engineering Practices in the Preacquisition Phase for Federal Intelligence and Defense Agencies

2008 ◽  
Vol 39 (1) ◽  
pp. 59-71 ◽  
Author(s):  
Steven R. Meier
Keyword(s):  
Systems Engineering ◽  
Life Cycle Cost ◽  
Large Scale ◽  
Management Systems ◽  
Technology Readiness ◽  
Significant Cost ◽  
Intelligence Agency ◽  
Engineering Practices ◽  
The Cost ◽  
Office Personnel

The analysis of several government defense and intelligence agency large-scale acquisition programs that experienced significant cost and schedule growth shows that several critical factors need to be addressed in the preacquisition phase of the acquisition cycle. These include overzealous advocacy, technology readiness levels, life-cycle cost, schedule details, requirements maturity, acquisition and contract strategy, program office personnel tenure and experience, risk management, systems engineering, and trade studies. The results of this study–which incorporated data from industry responses, government and industry executive interviews, numerous studies, and reports–indicate that early preacquisition activities executed in a rigorous fashion can significantly reduce the risk of cost and schedule growth. In this paper, the root causes of the cost and schedule growth are discussed as well as techniques and alternatives to improve program performance.

scholarly journals Optimization of Power Collector System for Large-scale Offshore Wind Farm Based on Topological Redundancy Assessment

2020 ◽  
Vol 194 ◽  
pp. 03025
Author(s):  
Wei Shurong ◽  
Feng Yuyao ◽  
Liu Kunlun ◽  
Fu Yang
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Large Scale ◽  
Wind Farm ◽  
Wind Farms ◽  
Offshore Wind ◽  
Offshore Wind Farm ◽  
Collector System ◽  
Definition Of ◽  
The Cost

Because of the bad environment of wind farms in the far -reaching sea, the cost of power collector system is high. The contradiction between economy and reliability of the power collector system planning is particularly prominent. According to the particularity of the wind farm in the far-reaching sea and the demand of the power collector system on higher reliability, this paper proposes the definition of topological redundancy of the power collector system and develops a multi-objective optimization model based on the topological redundancy. Thus, the contradictory variables of economy and reliability are optimized. Taking a large-scale offshore wind farm as an example, based on the topological redundancy assessment, the topology of its power collector system is optimized from the perspective of life cycle cost. The results show that, although the initial cost of the optimal redundancy topology is slightly higher than that of the radial structure, the advantage of life cycle cost after 8 years of operations is obvious, which can meet the actual engineering requirements of the power collector system for the wind farm in the far-reaching sea.

Turbo-Machinery Monitoring Measures for Propulsion Safety and Affordable Readiness

2011 ◽  
Author(s):  
Richard C. Millar
Keyword(s):  
Life Cycle ◽  
Systems Engineering ◽  
Military Service ◽  
Life Cycle Cost ◽  
Stress Measurement ◽  
Elastic Response ◽  
System Integrity ◽  
Turbo Machinery ◽  
And Performance ◽  
Aircraft Propulsion System

The US Department of Defense initiative for propulsion safety and affordable readiness (P-SAR) has been engaged by all three services as a means to mitigate the operational and environmental hazards to aircraft propulsion system integrity, dependability and life cycle cost in military service. This paper focuses on the turbo-machinery of military propulsion systems and addresses the options available to manage turbo-machinery health and life cycle cost. Three primary turbo-machinery integrity and performance degraders are identified: foreign object damage, erosion and corrosion, and high cycle fatigue due to aero-elastic response of turbo-machine blades & vanes. A variety of sensors have been proposed as measures to monitor and mitigate the hazards created by such degradation. Many of these were developed as tools for use in component models & design verification, such as non-intrusive stress measurement systems [NSMS] — an indirect means to supplement direct on-blade strain measurements. Others tools have been defined specifically for in service monitoring, such as the use of miniature radar to detect blade motion. This paper follows a systems engineering analysis identifying alternative functional hazard mitigations and a qualitative reliability centered maintenance (RCM) view to assess alternative approaches to mitigation of each hazard. Finally, synergies across the three priority degraders are considered to recommended topics for research.

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