Process Planning for Aluminum Tubes An Engineering Operations Perspective

Cover Process Planning for Aluminum Tubes An Engineering Operations Perspective
Process Planning for Aluminum Tubes An Engineering Operations Perspective
Anantaram Balakrishnan
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The parameter djj might include the cost of annealing, materials handling, and scrap reprocessing, and the effects of inflated batch sizes to compensate for yield losses.
14 We can formulate the bloom sizing problem as an integer program using two sets of binajy decision variables: y; which takes the value of 1 if we select size] as one of the standard sizes, and is otherwise, and x^j which is 1 if we produce tube i using bloom j. And otherwise. The variable Xjj represents the preferred medium-
...term tube-to-bloom assignment. In the short term, the planner might use a different bloom to produce product i if its preferred bloom is not available in stock. The bloom size optimization model [BSO] has the following forni: n m [BSO] minimize Z Z d„ x„ (3. 1 1=1 j=l subject to ij >J m Bloom-to-tube assignment: L, \- = 1 for all i = 1. 2, ... , n, (3. 2) J=l ^ Forcing: x, :

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