A State-of-the-Art Survey of Due Date Assignment and Scheduling Research: Common Due Date

Abstract : In this paper, we aim at providing a unified framework of the common due date assignment and scheduling problems in the deterministic case by surveying the literature concerning the models involving single machine and parallel machines. We focus on static production settings in which a fixed set of is available for processing as opposed to dynamic production settings where jobs continuously arrive in the system and should be scheduled on-line. The problems with due date determination have received considerable attention in the last ten years due to the introduction of new methods of inventory management such as Just-In-Time (JIT) systems. The common due date model which is also known in scheduling literature as CON model, where CON stands for constant flow allowance, corresponds, for instance, to an assembly system in which the components of the product should be ready at the same time, or to a shop where several jobs constitute a single customer's order. In the problems under consideration, the objective is to find an optimal value of the common due date and the related optimal schedule in order to optimize a given criterion based on the due date and the completion times of jobs. The results on the algorithms and complexity of the common due date assignment and scheduling problems are summarized.
Type de document :
Rapport
[Research Report] RR-3454, INRIA. 1998, pp.36
Liste complète des métadonnées

https://hal.inria.fr/inria-00073236
Contributeur : Rapport de Recherche Inria <>
Soumis le : mercredi 24 mai 2006 - 12:17:44
Dernière modification le : samedi 17 septembre 2016 - 01:06:54
Document(s) archivé(s) le : jeudi 24 mars 2011 - 12:31:37

Fichiers

Identifiants

  • HAL Id : inria-00073236, version 1

Collections

Citation

Valery Gordon, Jean-Marie Proth, Chengbin Chu. A State-of-the-Art Survey of Due Date Assignment and Scheduling Research: Common Due Date. [Research Report] RR-3454, INRIA. 1998, pp.36. 〈inria-00073236〉

Partager

Métriques

Consultations de la notice

215

Téléchargements de fichiers

68