Please use this identifier to cite or link to this item:
|Title:||Scheduling parallel production lines with resource constraints. 2. Decomposition algorithm|
|Citation:||Lamba, N.,Karimi, I.A. (2002-02-20). Scheduling parallel production lines with resource constraints. 2. Decomposition algorithm. Industrial and Engineering Chemistry Research 41 (4) : 790-800. ScholarBank@NUS Repository.|
|Abstract:||In the preceding paper, we presented a mixed-integer linear programming model (MILP) for scheduling operation in a multiproduct facility comprising multiple parallel semicontinuous production lines. In this part, we first perform a critical analysis of the model structure and its various constraints and the various solver options. Because, even after that effort, the model remains computationally expensive for large-scale industrial applications, we use it to develop an efficient two-step decomposition algorithm. The main idea behind this algorithm is to first generate several good, feasible item combinations by repeatedly solving the model with a minimum number of slots and then to compose a schedule using these item combinations. A computationally easier new model for sequencing and scheduling item combinations is derived from the original model. When applied to an industrial problem from a detergent plant, the new algorithm gives near-optimal solutions in far less time than the original model.|
|Source Title:||Industrial and Engineering Chemistry Research|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Nov 24, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.