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| Content Provider | Springer Nature Link |
|---|---|
| Author | Ahmadizar, Fardin Hosseini, Leila |
| Copyright Year | 2011 |
| Abstract | In scheduling problems with learning effects, most researches assume that processing times are deterministic. This paper considers a single-machine scheduling problem with a position-based learning effect and fuzzy processing times, simultaneously. The position-based learning effect of a job is assumed to be a function of its position. The processing times are considered to be triangular fuzzy numbers. A polynomial time algorithm is proposed for the problem where the objective is to minimize the total completion time. The solution procedure is based on applying the shortest processing time rule to triangular fuzzy processing times. Computational results show that our model gives better results than the model ignoring the uncertainty. |
| Starting Page | 693 |
| Ending Page | 698 |
| Page Count | 6 |
| File Format | |
| ISSN | 02683768 |
| Journal | The International Journal of Advanced Manufacturing Technology |
| Volume Number | 56 |
| Issue Number | 5-8 |
| e-ISSN | 14333015 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2011-02-08 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Scheduling Single machine Position-based learning Fuzzy processing times Total completion time Industrial and Production Engineering Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering Production/Logistics/Supply Chain |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software |
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