Abstract
The paper deals with a single machine scheduling problem involving a general precedence structure that permits both ordinary and fuzzy precedence constraints. Feasible schedules are evaluated not only by their cost but also by the degree of satisfaction with their precedence structure. An O(ℳlog n+ max(n2, kn2))-time algorithm is proposed for finding nondominated solutions of the resulting bi-criteria scheduling problem where n is the number of jobs, k is the number of fuzzy constraints, and ℳ is the total number of precedence constraints.
| Original language | English |
|---|---|
| Pages (from-to) | 330-341 |
| Number of pages | 12 |
| Journal | Journal of the Operations Research Society of Japan |
| Volume | 42 |
| Issue number | 3 |
| DOIs | |
| State | Published - Sep 1999 |
| Externally published | Yes |
Bibliographical note
Funding Information:Acknowledgments This work was performed while the first author was visiting the Japan Advanced Institute of Science and Technology, Ishikawa. The support of this author by the International Information Science Foundation (grant 97.1.3.615) and by the Ministry of Science of Israel in the framework of the cooperative program with the Japan Society for the Promotion of Science (grant 8951.1.97) is gratefully acknowledged. The authors thank J.K. Lenstra for a very helpful comment.
Funding
Acknowledgments This work was performed while the first author was visiting the Japan Advanced Institute of Science and Technology, Ishikawa. The support of this author by the International Information Science Foundation (grant 97.1.3.615) and by the Ministry of Science of Israel in the framework of the cooperative program with the Japan Society for the Promotion of Science (grant 8951.1.97) is gratefully acknowledged. The authors thank J.K. Lenstra for a very helpful comment.
| Funders | Funder number |
|---|---|
| International Information Science Foundation | 97.1.3.615 |
| Japan Society for the Promotion of Science | 8951.1.97 |
| Ministry of science and technology, Israel |
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