The search session has expired. Please query the service again.

The search session has expired. Please query the service again.

Displaying similar documents to “On the application of insertion techniques for job shop problems with setup times ”

Job shop scheduling with unit length tasks

Meike Akveld, Raphael Bernhard (2012)

RAIRO - Theoretical Informatics and Applications - Informatique Théorique et Applications

Similarity:

In this paper, we consider a class of scheduling problems that are among the fundamental optimization problems in operations research. More specifically, we deal with a particular version called . Using the results of Hromkovič, Mömke, Steinhöfel, and Widmayer presented in their work , we analyze the problem setting for 2 jobs with an unequal number of tasks. We contribute a deterministic algorithm which achieves a vanishing delay in certain cases and a randomized algorithm with a competitive...

Job shop scheduling with unit length tasks

Meike Akveld, Raphael Bernhard (2012)

RAIRO - Theoretical Informatics and Applications

Similarity:

In this paper, we consider a class of scheduling problems that are among the fundamental optimization problems in operations research. More specifically, we deal with a particular version called . Using the results of Hromkovič, Mömke, Steinhöfel, and Widmayer presented in their work , we analyze the problem setting for 2 jobs with an unequal number of tasks. We contribute a deterministic algorithm which achieves a vanishing delay in...

On Minimizing Total Tardiness in a Serial Batching Problem

Philippe Baptiste, Antoine Jouglet (2010)

RAIRO - Operations Research

Similarity:

We study the problem of scheduling jobs on a serial batching machine to minimize total tardiness. Jobs of the same batch start and are completed simultaneously and the length of a batch equals the sum of the processing times of its jobs. When a new batch starts, a constant setup time occurs. This problem | ∑ is known to be NP-Hard in the ordinary sense. In this paper we show that it is solvable in pseudopolynomial time by dynamic programming.