[Computer Aided Chemical Engineering] 21st European Symposium on Computer Aided Process Engineering Volume 29 || An Efficient Mathematical Framework for Detailed Production Scheduling in Food Industries

✍ Scribed by Kopanos, Georgios M.

• Book ID: 121377847
• Publisher: Elsevier
• Year: 2011
• Tongue: English
• Weight: 554 KB
• Edition: 1
• Category: Article
• ISBN: 044453895X
• ISSN: 1570-7946
• DOI: 10.1016/B978-0-444-53711-9.50192-9

✦ Synopsis

An efficient mixed integer programming (MIP) continuous-time model is developed to address production scheduling problems in multistage multiproduct food industries. The overall mathematical framework relies on an efficient modeling approach of the sequencing decisions, the integrated modeling of all production stages, and the inclusion of valid integer cuts in the formulation. The simultaneous optimization of all processing stages increases the plant production capacity, reduces the production cost for final products, and facilitates the interaction among the different departments of the plant. The proposed MIP model is well-suited to ice-cream production; however, it could be also used, with minor modifications, in scheduling problems arising in other food industries with similar processing features. As the challenging case study reveals, our model features a salient computational performance due to our modeling approach.