| 1. |
|
|
| 2. |
- Wang, Lihui, et al.
(författare)
-
An Architecture for Distributed Process Planning Using Function Blocks
- 2002
-
Ingår i: Transactions of the North American Manufacturing Research Institution of SME. - : Society of Manufacturing Engineers, North American Manufacturing Research Institution. - 1047-3025. ; 30, s. 613-620
-
Tidskriftsartikel (refereegranskat)abstract
- Today's machining shop floors, characterized by large variety of products in small batch sizes, require dynamic process planning capabilities that are responsive and adaptive to the rapid changes of production capacity and functionality. To meet the requirement, this research proposes a new methodology for dynamic and distributed process planning. The primary focus of this paper is on the architecture of a new approach using function blocks. The secondary focus is given to the other supporting technologies - machining features and agents. Different from conventional methods, this approach uses a two-layer structure - supervisory planning and operation planning. It is expected that the new architecture can improve the system performance for a dynamic environment.
|
|
| 3. |
- Wang, Lihui, et al.
(författare)
-
Generic Machining Sequence Generation Using Enriched Machining Features
- 2004
-
Ingår i: Transactions of the North American Manufacturing Research Institution of SME. - : Society of Manufacturing Engineers, North American Manufacturing Research Institution. - 1047-3025. ; 32, s. 55-62
-
Tidskriftsartikel (refereegranskat)abstract
- The manufacturing processes in today's decentralized manufacturing systems are rather complex, especially at shop floors where highly mixed products in small batch sizes are handled simultaneously. In addition to the fluctuating job shop operations, unpredictable issues like job delay, urgent job insertion, fixture shortage, missing tool, and even machine break-down, are regularly challenging the job shop operations. Targeting the fluctuation, this research proposes a DPP (distributed process planning) approach to generate process plans that are responsive and adaptive to the changes. In this paper, a concept of enriched machining feature is introduced, based on which several rules and algorithms are formulated for generic machining sequence generation. It is expected that the new approach can largely enhance the dynamism of fluctuating job shop operations.
|
|
