Abstract
We consider the problem of estimating lead times of orders that arrive dynamically in a flexible flow shop. When an order arrives, we estimate the time between its arrival and its completion. Good estimation would help improve on-time delivery. Existing estimation methods are mostly designed based on an order's processing time and the shop's inventory status. We improve the accuracy of estimation by developing new methods that further take into account the characteristics of the shop system such as parallelization of queues. We also consider the bottleneck effect, which might largely dominate the waiting time in the system. Results of computational experiments show that the proposed methods outperform existing methods in terms of some accuracy measures.
Original language | English |
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Title of host publication | Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1353-1356 |
Number of pages | 4 |
Volume | 2016-May |
ISBN (Electronic) | 9781467380751 |
DOIs | |
Publication status | Published - 2016 May 19 |
Event | IEEE International Conference on Industrial Technology, ICIT 2016 - Taipei, Taiwan, Province of China Duration: 2016 Mar 14 → 2016 Mar 17 |
Other
Other | IEEE International Conference on Industrial Technology, ICIT 2016 |
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Country/Territory | Taiwan, Province of China |
City | Taipei |
Period | 16/3/14 → 16/3/17 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications