Summary of Exact Methods and Lower Bounds For the Oven Scheduling Problem, by Marie-louise Lackner et al.
Exact methods and lower bounds for the Oven Scheduling Problem
by Marie-Louise Lackner, Christoph Mrkvicka, Nysret Musliu, Daniel Walkiewicz, Felix Winter
First submitted to arxiv on: 23 Mar 2022
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Data Structures and Algorithms (cs.DS); Optimization and Control (math.OC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The Oven Scheduling Problem (OSP) is a novel challenge in electronic component manufacturing that requires parallel batch scheduling. Jobs need to be allocated to multiple ovens, considering compatibility and respecting constraints like oven availability, job release dates, setup times, and capacities. The primary goals are to minimize the cumulative processing time across all ovens while meeting deadlines, distinguishing OSP from other batch processing problems that focus on makespan, tardiness, or lateness. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The Oven Scheduling Problem is a new challenge in manufacturing where jobs need to be scheduled for multiple ovens. Jobs can be processed together if they’re compatible, and there are rules about when ovens are available, job deadlines, setup times, and oven capacity. The main goal is to use less energy by processing batches efficiently across all ovens while finishing on time. |
