Abstract
This paper addresses the problem of identifying a profit-maximizing schedule for jobs in a just-in-time production line, where the decision maker can adjust each job's processing time, and thereby its quality level and the profit that can be gained from it. The system comprises two sequential machines with a transition period between them and a setup time after completion of each job on the second machine. We first construct an exact algorithm that maximizes the profit. Since this problem is NP-hard, we construct a fully polynomial time approximation scheme (FPTAS) to address it and evaluate its computational complexity.
Original language | American English |
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Pages (from-to) | S727-S740 |
Journal | RAIRO - Operations Research |
Volume | 55 |
DOIs | |
State | Published - 1 Jan 2021 |
Externally published | Yes |
Keywords
- Combinatorial optimization
- Dynamic programming
- FPTAS
- Flow shop scheduling
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science Applications
- Management Science and Operations Research