An associative memory approach for assembly planning systems

Author(s):  
C.L.P. Chen ◽  
Y.-H. Pao
Author(s):  
Christian Buescher ◽  
Marcel Mayer ◽  
Daniel Schilberg ◽  
Sabina Jeschke

Processes ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. 880
Author(s):  
Dongsu Jeong ◽  
Dohyun Kim ◽  
Taihun Choi ◽  
Yoonho Seo

Ship block assembly planning is very complex due to the various activities and characteristics of ship production. Therefore, competitiveness in the shipbuilding industry depends on how well a company operates its ship block assembly plan. Many shipbuilders are implementing various studies to improve their competitiveness in ship block assembly planning, specifically regarding technology usage, such as modeling and simulation (M&S) and Cyber-Physical Systems (CPS). Although these technologies are successfully applied in some production planning systems, it is difficult to tailor ship production planning systems with flexibility due to unexpected situations. Providing a flexible plan for these production planning systems requires a way to describe and review the organic relationships of ship production processes. In this research, a process-based modeling (PBM) method proposes a novel approach to describing the production process of ship block assembly planning by redefining production information based on changing instructions. The proposed method consists of four modeling steps. The first creates a unit model, which includes the products, processes, and resource information for the block. The second designs an integrated network process for linking unit models according to the bill of materials (BOM). The third creates a process-based model that describes the production processes by combining unit models. The fourth generates a simulation model by applying a Petri-net to the process-based model, which analyzes the productivity of the ship’s block assembly processes. PBM identifies the assembly process’ interrelationship and shows that productivity can be reviewed to uncover ship production problems.


2006 ◽  
Author(s):  
Yvonne Wakeford ◽  
Michael T. Carlin ◽  
Michael P. Toglia

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