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Optimization of Automated Float Glass Lines Byungsoo Na, Shabbir Ahmed
 

Summary: Optimization of Automated Float Glass Lines
Byungsoo Na, Shabbir Ahmed
, George Nemhauser and Joel Sokol
H. Milton Stewart School of Industrial and Systems Engineering,
Georgia Institute of Technology,
765 Ferst Drive, Atlanta, GA 30332
{byungsoo.na, sahmed, gnemhaus, jsokol}@isye.gatech.edu
Statement of Scope and Purpose
Flat glass is approximately a $20 billion/year industry worldwide, with almost all flat glass products being
manufactured on float glass lines. New technologies are allowing float glass manufacturers to increase the level
of automation in their plants, but the question of how to effectively use the automation has given rise to a new
and difficult class of optimization problems not yet studied in the literature. These optimization problems
combine aspects of traditional cutting problems and traditional scheduling and sequencing problems, the
hybrid of which has not previously been modeled, let alone studied or solved. In this paper, we define and
model the problem, and provide heuristic solution methods that produce manufacturing yields greater than
99%. These high-yield solutions can save millions of dollars, so our methods are currently being implemented
at a major float glass manufacturer.
Abstract
In automated float glass manufacturing, a continuous ribbon of glass is cut according to customer orders
and then offloaded using robots. We consider the problem of laying out and sequencing the orders on the

  

Source: Ahmed, Shabbir - School of Industrial and Systems Engineering, Georgia Institute of Technology

 

Collections: Engineering