آموزش های ویدئویی
فیلم آموزشی BIM

فیلم آموزشی دوره نقشه راه BIM – مقدماتی

فیلم آموزشی دوره نقشه راه BIM – مقدماتی

آموزش مدیریت دارایی زیر ساخت راه

Learning Objectives:

Introduction to asset management
How you can use data analytics to develop deterioration models for roads.
How different algorithms perform in deterioration modeling.
The impact of a climate change scenario on roads in different locations.
If the type of performance indicators affect outcomes? For example, are there different outcomes if you use Pavement Condition Index (PCI) vs. International Roughness Index (IRI).

Overview:

Understanding the condition of roads is important to transportation departments and municipalities. Therefore, modeling and predicting the deterioration of roads is crucial. It is important to have a decision-support tool for predicting the condition of asphalt roads under a changing climate. Madeh Piryonesi has gathered and analyzed the data of several thousand road sections from the Long-Term Pavement Performance (LTPP) database in the hope of addressing these issues. The results of his works are implemented in a web-based platform, which includes a map with an interactive dashboard. Users can query any road, input its data, and get relevant predictions about its deterioration via machine learning algorithms. Since the attributes used for model training include important climatic stressors, such as temperature and precipitation, the users can run the model multiple times under different climate change scenarios and get pertinent analytics.

To show the functionality of the developed tool, two sets of examples were studied. First, the condition of four individual roads in different areas was predicted. Second, the data of two groups of roads, one in Ontario and one in Texas, was fed into the model under two different climates. The results are compared and explained. The findings of this study show that the climate change scenario affects different municipalities/communities differently. This type of analysis is highly important knowing that climate change will be a significant factor in future infrastructure decision-making. The results of such analyses could be useful to municipalities, policy-makers and transportation agencies who deal with large networks of assets under a varying climate.

مدیریت دارایی زیرساخت های راه

مهندسی هزینه در مدیریت دارایی های کارخانه های نفت ، گاز و پتروشیمی-i4academy

An introduction to Cost Engineering on Oil, Gas & Petrochemical plants Asset Management

Overview:

The Webinar will provide an introduction to necessary required knowledge and skills for understanding of the tools and techniques used to asset costings for optimising the selection of type of asset management strategy to maximize the performance and value of oil and gas and petrochemical assets.

Topics covered will highlight the importance of Governance, People, Process and Technology in the performance management of oil and gas and petrochemical assets and asset teams.

It will cover recognizing the need for strategic change and how to develop options to respond to changing business environments. It will include implementation of new strategic directions and managing and monitoring performance.

Asset Management from the Total Cost management point of view along with Asset pricing and the ratio of return on asset are the most important topics which will be discussed during the webinar.
Throughout the Webinar mot recommended practices will be delivered to the participants and actual cases will be presented.

مقدمه ای بر مهندسی هزینه در مدیریت دارایی های صنعت نفت ، گاز و پتروشیمی