Two-Machine Ordered Flow Shop Scheduling with Generalized Due Dates
Myoung‐Ju Park, Byung‐Cheon Choi, Yunhong Min, Kyung Min Kim
Abstract
Myoung‐Ju Park, Byung‐Cheon Choi, Yunhong Min, Kyung Min Kim
Abstract
We consider a two-machine flow shop scheduling with two properties. The first is that each due date is assigned for a specific position different from the traditional definition of due dates, and the second is that a consistent pattern exists in the processing times within each job and each machine. The objective is to minimize maximum tardiness, total tardiness, or total number of tardy jobs. We prove the strong NP-hardness and inapproximability, and investigate some polynomially solvable cases. Finally, we develop heuristics and verify their performances through numerical experiments.
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We consider a two-machine flow shop scheduling with two properties. The first is that each due date is assigned for a specific position different from the traditional definition of due dates, and the second is that a consistent pattern exists in the processing times within each job and each machine. The objective is to minimize maximum tardiness, total tardiness, or total number of tardy jobs. We prove the strong NP-hardness and inapproximability, and investigate some polynomially solvable cases. Finally, we develop heuristics and verify their performances through numerical experiments.
Key concepts: Tardiness, Heuristics, Flow shop scheduling, Scheduling (production processes), Mathematical optimization, Due date, Job shop scheduling, Computer science