The Manufacturing Engineering Association (MEA), spearheaded by the staff and students of the Department of Production Engineering, Faculty of Engineering, University of Peradeniya, is organizing the first ever symposium dedicated to Manufacturing and Industrial Engineering in Sri Lanka.
Manufacturing sector is the backbone of a country’s economy. Sri Lanka, despite being rich with natural resources and an educated and skilled workforce, is lagging behind its regional counterparts in this aspect. Realizing this, the government in its most recent policy review, has underlined the importance of a dynamic and sophisticated manufacturing industry for the country to meet development goals. Industry and academia go hand in hand. Higher educational institutions produce engineers and technologists for tomorrow, and they have a key role to play in industrializing the nation, by providing the latest technical know how, and conducting breakthrough research for the industry. MIES is the first national-level platform of its kind, solely dedicated to bring together industrialists, academics, and researchers to discuss, share and showcase their needs, views, findings, technologies and creations.
Symposium Objectives:
To showcase the contribution made by the graduates to the country’s manufacturing sector.
To create a platform for industrialists, academics, and researchers to share most up-to-date knowledge and experience on manufacturing.
To present research and innovations on product and process developments related to Manufacturing and Industrial Engineering sectors from all over the country.
Industrial Engineering
Lean Manufacturing
Six Sigma
Production Planning and Control
Process Engineering
Industrial Robotics
Maintenance Management
Operations Management
Quality Engineering
Systems Modeling and Simulation
Sustainable Manufacturing
Ergonomics
Logistics and Supply Chain Management
Industrial Automation
Computer Aided Design and Manufacturing
Computer Applications in Manufacturing Engineering
Innovations and Technology Management
IoT and Big Data for Industrial Environment
10月22日
2016
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