Life-cycle simulation model for large scale welded structure-a basic study on welded joint model with consideration of the welded joint corrosion

Software development projects have been blamed for being behind schedule, cost overruns, and the delivery of poor quality product. This paper presents a simulation model of a data warehouse to evaluate the feasibility of different software development controls and measures to better manage a software development lifecycle, and improve the performance of the launched software. This paper attempts to address the practical issue of code defects in each stage of data warehouse application development. The author has compared the defect removal rate of their previous project to the newly proposed enhanced project development life cycle that uses code inspection and code scorecard along with other phases of software development life cycle. Simulation results show that the code inspection and code score-carding have achieved a significant code defect reduction. This has also significantly improved the software development process and allowed for a flawless production execution. The author proposes this simulation model to a data warehouse application development process to enable developers to improve their current process.

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The validation and use of a life-cycle simulation model for risk assessment of insect pests

EPPO Bulletin ◽

10.1111/j.1365-2338.1991.tb01295.x ◽

1991 ◽

Vol 21 (3) ◽

pp. 615-622 ◽

Cited By ~ 9

Author(s):

C. R. B. BAKER

Keyword(s):

Risk Assessment ◽

Life Cycle ◽

Simulation Model ◽

Insect Pests ◽

Cycle Simulation

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A life cycle simulation model for exploring causes of population change in Alewife (Alosa pseudoharengus)

Ecological Modelling ◽

10.1016/j.ecolmodel.2020.109004 ◽

2020 ◽

Vol 422 ◽

pp. 109004

Author(s):

Gary A. Nelson ◽

Benjamin I. Gahagan ◽

Michael P. Armstrong ◽

Adrian Jordaan ◽

Alison Bowden

Keyword(s):

Life Cycle ◽

Simulation Model ◽

Population Change ◽

Alosa Pseudoharengus ◽

Cycle Simulation

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

Symmetry ◽

10.3390/sym13020226 ◽

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.

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PEDRERA. Positive Energy District Renovation Model for Large Scale Actions

Energies ◽

10.3390/en14102833 ◽

2021 ◽

Vol 14 (10) ◽

pp. 2833

Author(s):

Paolo Civiero ◽

Jordi Pascual ◽

Joaquim Arcas Abella ◽

Ander Bilbao Figuero ◽

Jaume Salom

Keyword(s):

Simulation Model ◽

Performance Indicators ◽

Large Scale ◽

Key Performance Indicators ◽

Positive Energy ◽

Design Phase ◽

Multiple Sources ◽

Reliable Prediction ◽

Sensitive Analysis ◽

Web Platform

In this paper, we provide a view of the ongoing PEDRERA project, whose main scope is to design a district simulation model able to set and analyze a reliable prediction of potential business scenarios on large scale retrofitting actions, and to evaluate the overall co-benefits resulting from the renovation process of a cluster of buildings. According to this purpose and to a Positive Energy Districts (PEDs) approach, the model combines systemized data—at both building and district scale—from multiple sources and domains. A sensitive analysis of 200 scenarios provided a quick perception on how results will change once inputs are defined, and how attended results will answer to stakeholders’ requirements. In order to enable a clever input analysis and to appraise wide-ranging ranks of Key Performance Indicators (KPIs) suited to each stakeholder and design phase targets, the model is currently under the implementation in the urbanZEB tool’s web platform.

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A large-scale study of ionic liquids employed in chemistry and energy research to reveal cytotoxicity mechanisms and to develop safe design guide

Green Chemistry ◽

10.1039/d1gc01520f ◽

2021 ◽

Author(s):

Lilya U. Dzhemileva ◽

Vladimir Anatolievich D'yakonov ◽

Marina M. Seitkalieva ◽

Natalia Kulikovskaya ◽

Ksenia S. Egorova ◽

...

Keyword(s):

Ionic Liquids ◽

Life Cycle ◽

Large Scale ◽

Energy Research ◽

Organic Electrolytes ◽

Large Scale Study ◽

Design Guide ◽

Scientific Potential

Device-level applications of organic electrolytes unavoidably imply extensive contacts with the environment. Despite their excellent scientific potential, ionic liquids (ILs) cannot be approved for practical usage until their life cycle...

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An integrated life cycle and water footprint assessment of nonfood crops based bioenergy production

Scientific Reports ◽

10.1038/s41598-021-83061-y ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Jun Li ◽

Fengyin Xiong ◽

Zhuo Chen

Keyword(s):

Life Cycle ◽

Environmental Sustainability ◽

Large Scale ◽

Water Footprint ◽

Arable Land ◽

Integrated Analysis ◽

Actual Performance ◽

Bioenergy Production ◽

Trade Offs ◽

Hybrid Pennisetum

AbstractBiomass gasification, especially distribution to power generation, is considered as a promising way to tackle global energy and environmental challenges. However, previous researches on integrated analysis of the greenhouse gases (GHG) abatement potentials associated with biomass electrification are sparse and few have taken the freshwater utilization into account within a coherent framework, though both energy and water scarcity are lying in the central concerns in China’s environmental policy. This study employs a Life cycle assessment (LCA) model to analyse the actual performance combined with water footprint (WF) assessment methods. The inextricable trade-offs between three representative energy-producing technologies are explored based on three categories of non-food crops (maize, sorghum and hybrid pennisetum) cultivated in marginal arable land. WF results demonstrate that the Hybrid pennisetum system has the largest impact on the water resources whereas the other two technology options exhibit the characteristics of environmental sustainability. The large variances in contribution ratio between the four sub-processes in terms of total impacts are reflected by the LCA results. The Anaerobic Digestion process is found to be the main contributor whereas the Digestate management process is shown to be able to effectively mitigate the negative environmental impacts with an absolute share. Sensitivity analysis is implemented to detect the impacts of loss ratios variation, as silage mass and methane, on final results. The methane loss has the largest influence on the Hybrid pennisetum system, followed by the Maize system. Above all, the Sorghum system demonstrates the best performance amongst the considered assessment categories. Our study builds a pilot reference for further driving large-scale project of bioenergy production and conversion. The synergy of combined WF-LCA method allows us to conduct a comprehensive assessment and to provide insights into environmental and resource management.

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