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Building Capacity in Machine Design and Local Engineering Education

Member

 By: Rozana Saleem, Communications Manager, USAID Compete Project

 

748A3806.JPGPresident of PPU and Chief of Party of the USAID Compete Project

USAID through its Compete Project, in partnership with National Instruments (NI) signed an agreement with the Palestine Polytechnic University (PPU) to build their capacity around engineering concepts for machine design and manufacturing to improve the competitiveness of value chains of key sectors on the Compete Project. For this purpose, 50 students enrolled in a training course on NI Certified LabVIEW Associate Developer (CLAD) program. Last month, ten students passed the NI CLAD test. It is the first time such a program has been introduced in the West Bank. More students are planning to register for the course in the beginning of 2018.

 

“The exchange of experiences, in addition to knowledge and technology transfer to the local community as well as creating job opportunities to university students is crucial,” said Dr. Imad Khatib, President of PPU.

 

COP Said Abu Hijleh said in the ceremony, “The machine design project aims at developing the Palestinian industry and improving the competitiveness of value chains of key sectors including agriculture, stone, food processing, and machine producers.”

748A3762.JPGPartnering to build local capacity

The training and certifications will enable the university with its certified developers to automate processes and systems around machine design to improve value chains in the key sectors Compete works in. Key sectors that could benefit include agriculture, tourism, information and communications technology (ICT), stone and marble, food processing, and machine producers.

 

CLAD is the first step in the LabVIEW certification process. It indicates a broad working knowledge of the LabVIEW environment, a basic understanding of coding and documentation best practices, and the ability to read and interpret existing code.

 

Under this grant, PPU will complete the design of the four selected machines, which are: Vegetables & Fruits Drying Machine, Stone Defect Detection Machine, Filling, Sealing and Capping Machine, and Vegetables Sorting Machine. Additional consideration will be made for the development of a maker or fabrication lab in partnership with local universities, to achieve the same goal of workforce development to sustainably address local industry challenges.