Mixed Integer Programming-Based Liveness Test for FMS with Full Routing Flexibility
Mixed integer programming (MIP) is an important technique to verify the liveness property of sequential flexible manufacturing systems (FMS) modeled by Petri nets. When there are some fully flexible routings in FMS, the existing MIP-based methods are not suitable for testing their liveness. This pap...
Saved in:
Main Authors: | Lida Dong, Tianyang Chi, Chengcheng Zhu, Jun Yin |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2014/319281 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adaptive Cut Selection in Mixed-Integer Linear Programming
by: Turner, Mark, et al.
Published: (2023-07-01) -
Optimizing Supply Chain Inventory: A Mixed Integer Linear Programming Approach
by: Joaquim Jorge Vicente
Published: (2025-01-01) -
Mixed Integer Linear Programming Based Speed Profile Optimization for Heavy-Haul Trains
by: Huazhen Yu, et al.
Published: (2023-01-01) -
An Advanced Multicarrier Residential Energy Hub System Based on Mixed Integer Linear Programming
by: Yue Yuan, et al.
Published: (2019-01-01) -
Optimization of Flow Shop Scheduling in Precast Concrete Component Production via Mixed-Integer Linear Programming
by: Zhansheng Liu, et al.
Published: (2021-01-01)