COST BENEFIT ANALYSIS OF URBAN TREE MANAGEMENT IN GOIÂNIA
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as presented on: Environmental Concerns in Rights-of-Way Management - The Tenth Symposium Phoenix, AZ, USA, September 30 through October 3, 2012
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COST BENEFIT ANALYSIS OF
URBAN TREE MANAGEMENT
IN GOIÂNIA
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The building construction industry faces challenges, such as increasing project complexity and scope requirements, but shorter deadlines. Additionally, economic uncertainty and rising business competition with a subsequent decrease in profit margins for the industry demands the development of new approaches to construction management. However, the building construction sector relies on practices based on intuition and experience, overlooking the dynamics of its production system. These approaches underestimate the influence of process repetitiveness, the size of the production run, the transient state, the variation of learning curves, and the conservation of processes properties. At this time, construction adopts the manufacturing production model dismissing the application of mathematical approaches that accurately describe the characteristics of its production system. The current theory about fundamental mechanisms of production in repetitive processes in construction is at an embryonic stage and does not yet fully establish the foundations of a production model. The aim of this research is to provide a mathematical model to describe and understand the production mechanisms of repetitive processes in project-driven systems in construc- tion, moreover, applying the model to project management. This study begins with an in-depth literature review to examine the existing knowledge about production models and their characteristics to establish a theoretical framework for controlling dynamic production systems management in construction. On this framework, this research builds an analytical and scalable method (Productivity Function) to represent the behavior of production systems. By considering the transient state, Productivity Function produced models that were more accurate in describing the processes dynamics than the steady state approaches. The Productivity Function provides a mathematical foundation to develop algebraic for the calculations of cycle times (average, best- and worst-cases), throughput at capacity, and the influence of the transient state time in the production variability. Productivity Function is applied in feedback loop control yielding a robust approach to plan, control, and optimize production in construction projects.Quicker reaction, lower variability: The effect of transient time in flow var...
Quicker reaction, lower variability: The effect of transient time in flow var...Ricardo Magno Antunes
Based on the knowledge of dynamic systems, the shorter the transient response, or the faster a system reaches the steady-state after the introduction of the change, the smaller will be the output variability. In lean manufacturing, the principle of reducing set-up times has the same purpose: reduce the transient time and improve production flow. Analogously, the analysis of the transient response of project-driven systems may provide crucial information about how fast these systems react to a change and how that change affects their production output. Although some studies have investigated flow variability in projects, few have looked at variability from the perspective that the transient state represents the changeovers on project-driven production systems and how the transient state affects the process’ flow variability. The purpose of this study is to investigate the effect of changes in project-driven production systems from a conceptual point of view, furthermore, measuring and correlating the transient response of five cases to their flow variability. Results showed a proportional relationship between the percentile transient time and flow variability of a process. That means that the quicker the production system reacts to change; the less the distress in the production output, consequently, lower levels of flow variability. As practical implications, lean practices focusing on reducing set-up times (transient time) can have their effects measured on project-driven production flow.Automação de Processos e Serviços - Aula05
O documento discute sobre automação de processos e serviços, mencionando diferentes tipos de atuadores como pneumáticos, hidráulicos e mecânicos utilizados para produzir movimento e alterar variáveis de processo. Também descreve relés e contatores eletromecânicos e semicondutores, e suas vantagens como alta vida útil e ausência de interferência eletromagnética. Por fim, explica o funcionamento de válvulas solenóides.
Automação de Processos e Serviços - Aula03
O documento discute conceitos fundamentais de instrumentação industrial, incluindo definições de processo, variável, medição, controle e instrumentos. Também aborda temas como erros em instrumentos analógicos e digitais, requisitos para bom desempenho operacional, sistemas para medição de temperatura, pressão e vazão.
Automação de Processos e Serviços - Aula02
O documento discute os principais componentes e tipos de sistemas de automação industrial. Resume que os sistemas automáticos possuem componentes básicos como sensores, controladores e atuadores e que existem dois principais tipos de sistemas: sistemas dinâmicos a eventos discretos e sistemas dinâmicos acionados pelo tempo. Apresenta também exemplos de aplicações como controle de temperatura e nível.
Automação de Processos e Serviços - Aula01
O documento discute automação de processos e serviços na gestão da produção industrial. Aborda principais tipos de processos industriais, tecnologias baseadas em computadores, fundamentos de processos discretos e contínuos e equipamentos mecânicos. Também apresenta uma atividade prática sobre automação de processos.
Automação de Processos e Serviços - Aula04
O documento discute vários métodos para medição de nível, incluindo medição contínua por células de carga, capacitiva, pressão diferencial, ultra som, radiação, borbulhamento e pesagem. Também aborda medição pontual por condução, bóia, eletrodos e flutuação magnética. Por fim, explica métodos de proximidade mecânico, indutivo, capacitivo, fotoelétrico e infravermelho, além de encoders e instrumentos especiais como pH metro e condutivímetro.
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- 2. COST BENEFIT ANALYSIS OF URBAN TREE MANAGEMENT IN GOIÂNIA Ricardo Magno Senior Project Manager ricardo.magno@prbambiental.com.br
- 4. Population
- 10. Street Tree Master Plan • Duration of 10-20 years • Sample inventory: • 38 874 seedlings • 5% tree removal • operational procedures • 13 pg of testimonials (?!) http://www.goiania.go.gov.br/shtml/amma/pdau.shtml
- 11. Project Analysis Risk Project Financial Economical Economical
- 12. Methodology Determine Program Objectives Recognize Enumerate Constrains Alternatives
- 13. Benefits • Research & Development (R&D) and overhead power lines upgrades (20%) • Tree trimming residue compost (1%) • Air conditioning energy savings (8%) • Real estate added value (62%) • Eradicate tree fall (8%)
- 14. Costs • Seedlings plantation (30%) • Tree removal (35%) • Stump grinding and sidewalk reconstruction (35%) • Seedling irrigation (0%)
- 15. Discount rate USA 0.75% 1996 2012
- 16. Effect of the discount rate 30 4.46 0.78 1
- 17. Cost Benefit R$ 52 000 000 R$ 30 000 000
- 18. Benefit–cost ratio 1.7 >1 1 <1
- 19. More information Parameter Value Meaning Cost Benefit rate 1.7 Benefits are generated Net Present Value R$ 22 000 000 Add value Total Cost R$ 30 000 000 Investment Payback 0 Time to pay the project Execution 10 years
- 20. Thank You! Ricardo Magno Santos Antunes Project Manager +55 (31) 3201-1234 +55 (31) 9866-7825 ricardo.magno@prbambiental.com.br www.prbambiental.com.br
Editor's Notes
- Some “conflicts”Maybe a tree will fall
- Maybe 2…Or maybe…
- 500