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Abeer Owaineh 196503

Research References

All the references is from IEEE website

  • Dong Shi ; Limei zhang. Design and implementation of intelligent Construction engineering information management system supporting mobile platform , 2019 International Conference on Smart Grid and Electrical Automation (ICSGEA).

  • Wenqian Sun ;Xing Gao. The Construction of Undergraduate Machine Learning Course in the Artificial Intelligence Era , 2018 The 13th International Conference on Computer Science & Education (ICCSE )

  • Dong Zhai; Paul M. Goodrum; Carl T. Haas; and Carlos H. Caldas. Relationship between Automation and Integration of Construction Information Systems and Labor Productivity , 2009 Journal of Construction Engineering and Management

References for our survey

Problem Statement

  • Intelligent Project management systems in construction is lag behind.

  • The Data analysis technology is urgent because it’s Hard to collect, store, manage and process them accurately.

  • The construction environment has to process and share larger volumes of data across multiple systems. And the gab between craft supply and demand, maintaining or improving the productivity is necessary and challenging in this industry.

Problem Statement

Hypothesis

Hypothesis

  • Increasing the use of IT on construction job sites, will improved labor productivity and substantially

  • The machine learning will play an important role in many fields in construction, using the advantage of computer vision, pattern recognition, data mining, natural language processing

  • Using the IT Integration will help in improving the efficiency and in the management role in constructions projects.

where the IT integration is defined “as the sharing of information between project participants or melding of information sourced from separate systems.”

Conclusion

Bringing IT into construction improves the efficiency and the productivity into the field by giving to the workers Fair, correct & timely wage Payment ,Availability of regular & adequate work. Will save Time on workers and will help them to organize there work .

Conclusion

Construction industry

Due to the complexity of the construction field with multiple scenarios,it has not been changed for years, and one of the main factors that affect this industry is manpower which cost around 50% of the budget .

Introduction

Construction in Palestine

Based on the latest report from the world bank the constrictions in Palestine have reached between (216.6 – 224.9) million $ in the last three years as shown in the fig below.

Constructions in Palestine

Labors in the Mena region

Construction labors

Amal-Work App

  • Amal is start-up company located in Ramallah Palestine as an online marketplace and application Based on the concept of "Machine learning Artificial Intelligence" that helps contractors find Pre-vetted construction and renovation workers to complete their projects on-time and within budget and help the workers to mange their work schedule .

  • These workers can be managed and tracked via the platform and the matching will be done via the application.

Amal- Work App

Problem We Solve

Problem we solve

  • Good construction workers are in high demand

  • Workers are anxious about the next day trying hard to achieve work stability

  • There are no easily available records of worker’s performance or history and similarly, there are no documented reviews on the contractor

  • Worker rates are not regulated and informal, there is no benchmarking based on various job roles
  • To much paper work that cab be easily wasted in project

  • It’s hard to glow up in more than one project in different cities

Solution

Our Solution

Amal will provide a transparent and formalized way to connect the construction workers with the contractors in order to increase the legal employment of construction workers by providing efficient access to jobs.

We don’t have any competitors at the Mena Region , But we have mainly in America , Canada and New Zealand

Competitors

Our Product

Amal-Work Application can provide services via two main method:

Product

Mobile Application

Mobile Interface

I) Worker Profile

II) Contractor Profile

II) Contractor Profile

On line website

Web site interface

Alpha Testing

The area of the alpha testing was Palestine , the test was made based on the following

Alpha Testing

Data Collections

Data Collection

The samples of the workers was deliberate and cluster sampling and was taken into Three main methods:

I) Facebook ad as a google form questionnaires 600 Workers apply

Data Collection

The samples of the workers was deliberate and cluster sampling and was taken into Three main methods:

I) Facebook ad as a google form questionnaires 600 Workers apply

Data Collection

The samples of the workers was deliberate and cluster sampling and was taken into Three main methods:

II) On Site survey by talking face to face with workers in the construction sites 1500 workers apply

III) The World of moth between the workers 1000 workers apply

Data analysis

Data Analysis

  • The samples of the workers was taken along 8 month in different cities of Palestine in the construction sites with different phases of the project.

  • The data was sorted based on 1) profession , 2) years of experience , 3) located city , 4) Type of projects that have been working on , 5) level of Professionally

Data Vetting

Data Vetting

On-boarding will be needed to vet the workers and rate them, which will be as the following:

Phone Interviews Face to Face Technical Reference Documentation

Meetings Check Check

  • For contractors :

One To One Meeting

  • The contractors was classified as : small , medium , large scale contractors .

Results

From the data of 3200 workers that we deal with in our alpha testing we find :

only 1% from them was not infested to be part of the program .

Results

Data Classification

Data Classification

The sing up in Facebook google form the was incresed in the follwing rate :

Data Classification

The percentage of interested workers based on the cities was divided as the Follwing:

Data Classification

The percentage of interested workers based on the professions was divided as the

following:

Conclusion

Conclusion

From what we have seen in our alpha testing:

1. Construction workers management functions are not structured and the worker’s dissatisfaction will results in lesser productivity and delay.

2. The construction industry is facing projects delay and cost overrun

3. Software effectively builds on for:

  • easier management that ensure that project can move forward without unnecessary delays
  • allows external communication channels, allowing ongoing communication off and on-site
  • For the worker it gave them the availability of regular & adequate work

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