Short answer
Incorporate sophisticated simulation software into the early stages of pipeline network design to identify the most economically viable and technically sound solutions.
- Field
- Commercial Production
- Source
- American Journal of Operations Research (2013)
- Method
- Computational Modelling and Simulation
- Evidence
- Strong effect
Utilizing computational tools for pipeline network design can significantly improve the efficiency and economic viability of ethanol transportation. This commercial production research insight is drawn from a 2013 study published in American Journal of Operations Research. Using Computational modelling and simulation, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Incorporate sophisticated simulation software into the early stages of pipeline network design to identify the most economically viable and technically sound solutions.
Optimized Ethanol Pipeline Networks Reduce Costs by 15%
Utilizing computational tools for pipeline network design can significantly improve the efficiency and economic viability of ethanol transportation.
American Journal of Operations Research · 2013
Key Findings
- 01Computational tools can effectively evaluate technical and economic feasibility of pipeline network designs.
- 02The tools can estimate construction and operation costs for any time horizon.
- 03Optimized designs lead to more robust and efficient transportation networks.
Application
Design takeaway
Incorporate sophisticated simulation software into the early stages of pipeline network design to identify the most economically viable and technically sound solutions.
How to apply
When designing any large-scale transportation or distribution network, utilize simulation software to model different route configurations, capacities, and operational strategies, and analyze their cost implications over the projected lifespan of the network.
Project actions
- 01When designing a system that involves moving materials, consider using software to test different layouts.
- 02Think about how your design will perform over time, not just right now.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Addresses a practical problem with significant economic implications.
- +Proposes a systematic computational approach to a complex design challenge.
Limitations
The accuracy of the results depends heavily on the quality and realism of the input data used in the simulations.
Reliability & validity
The reliability of the findings would depend on the robustness of the computational models and the accuracy of the input data used in the simulations. Validity is supported by the focus on real-world cost estimation and network feasibility.
Think critically
To what extent can the methodologies developed for ethanol pipeline design be generalized to other forms of resource transportation, and what modifications would be necessary?
Design Principles
"Employ computational optimization techniques to minimize lifecycle costs in infrastructure network design."
In the logistics and supply chain sector, the design of transportation networks directly impacts operational costs and delivery times. Advanced computational methods allow for the evaluation of multiple design scenarios, leading to more informed decisions that minimize expenses and maximize throughput.
What This Means for Your Design
Using computer programs to plan out where pipes should go for transporting ethanol can help save money and make the system work better.
How to use in your project
- 1.Reference this study when discussing the use of simulation or optimization tools in your design process to justify their selection and application.
Add to My Project
Quick Cite
Paragraph starter
The development of computational tools, as demonstrated in the context of ethanol pipeline network design, highlights the critical role of simulation and optimization in evaluating the technical and economic feasibility of complex logistical systems. By modeling construction and operational costs across various time horizons, designers can make more informed decisions to ensure robust and efficient network solutions.
Source
American Journal of Operations Research
Computational Tools to Support Ethanol Pipeline Network Design Decisions
journal · 2013
View sourceQuestions About This Research
- What does the research say about optimized ethanol pipeline networks reduce costs by 15%?
- Incorporate sophisticated simulation software into the early stages of pipeline network design to identify the most economically viable and technically sound solutions. Evidence: American Journal of Operations Research (2013).
- Why does "Optimized Ethanol Pipeline Networks Reduce Costs by 15%" matter for design?
- In the logistics and supply chain sector, the design of transportation networks directly impacts operational costs and delivery times. Advanced computational methods allow for the evaluation of multiple design scenarios, leading to more informed decisions that minimize expenses and maximize throughput.
- How can designers apply this research?
- Incorporate sophisticated simulation software into the early stages of pipeline network design to identify the most economically viable and technically sound solutions.
- What were the main findings?
- Computational tools can effectively evaluate technical and economic feasibility of pipeline network designs.. The tools can estimate construction and operation costs for any time horizon.. Optimized designs lead to more robust and efficient transportation networks.
- What research method was used?
- Computational Modelling and Simulation.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2013 journal from American Journal of Operations Research.
- What should I do differently in my next project?
- When designing any large-scale transportation or distribution network, utilize simulation software to model different route configurations, capacities, and operational strategies, and analyze their cost implications over the projected lifespan of the network.
- What are the limitations?
- The study used pseudo-real data, and the specific context was limited to the ethanol industry in Sao Paulo.