scholarly journals Flexible Customization Oriented Leader-follower Joint Optimization of Production Planning for Parallel and Non-equivalence Bus Mixed-model Assembly Lines

2020 ◽  
Vol 56 (22) ◽  
pp. 24
Author(s):  
ZHANG Wei ◽  
WANG Shaojie ◽  
GAN Yawen ◽  
HOU Liang ◽  
XU Changhua
Keyword(s):  
Production Planning ◽  
Mixed Model ◽  
Joint Optimization ◽  
Assembly Lines ◽  
Mixed Model Assembly Lines ◽  
Mixed Model Assembly

scholarly journals Modeling of RFID-Enabled Real-Time Manufacturing Execution System in Mixed-Model Assembly Lines

2015 ◽  
Vol 2015 ◽  
pp. 1-15
Author(s):  
Zhixin Yang ◽  
Wei Xu ◽  
Pak-Kin Wong ◽  
Xianbo Wang
Keyword(s):  
Real Time ◽  
Production Planning ◽  
Production Management ◽  
Mixed Model ◽  
Manufacturing Execution System ◽  
Assembly Lines ◽  
Safety Stock ◽  
Mixed Model Assembly Lines ◽  
Mixed Model Assembly ◽  
Manufacturing Execution

To quickly respond to the diverse product demands, mixed-model assembly lines are well adopted in discrete manufacturing industries. Besides the complexity in material distribution, mixed-model assembly involves a variety of components, different process plans and fast production changes, which greatly increase the difficulty for agile production management. Aiming at breaking through the bottlenecks in existing production management, a novel RFID-enabled manufacturing execution system (MES), which is featured with real-time and wireless information interaction capability, is proposed to identify various manufacturing objects including WIPs, tools, and operators, etc., and to trace their movements throughout the production processes. However, being subject to the constraints in terms of safety stock, machine assignment, setup, and scheduling requirements, the optimization of RFID-enabled MES model for production planning and scheduling issues is a NP-hard problem. A new heuristical generalized Lagrangian decomposition approach has been proposed for model optimization, which decomposes the model into three subproblems: computation of optimal configuration of RFID senor networks, optimization of production planning subjected to machine setup cost and safety stock constraints, and optimization of scheduling for minimized overtime. RFID signal processing methods that could solve unreliable, redundant, and missing tag events are also described in detail. The model validity is discussed through algorithm analysis and verified through numerical simulation. The proposed design scheme has important reference value for the applications of RFID in multiple manufacturing fields, and also lays a vital research foundation to leverage digital and networked manufacturing system towards intelligence.

scholarly journals An Analytical Framework for Handling Production Time Variety at Workstations of Mixed-model Assembly Lines

Procedia CIRP ◽  
2016 ◽  
Vol 41 ◽  
pp. 201-206 ◽  
Author(s):  
Stefan Keckl ◽  
Wolfgang Kern ◽  
Antoin Abou-Haydar ◽  
Engelbert Westkämper
Keyword(s):  
Mixed Model ◽  
Analytical Framework ◽  
Assembly Lines ◽  
Production Time ◽  
Mixed Model Assembly Lines ◽  
Mixed Model Assembly

A complexity model for sequence planning in mixed-model assembly lines

2012 ◽  
Vol 31 (2) ◽  
pp. 121-130 ◽  
Author(s):  
Xiaowei Zhu ◽  
S. Jack Hu ◽  
Yoram Koren ◽  
Ningjian Huang
Keyword(s):  
Mixed Model ◽  
Assembly Lines ◽  
Sequence Planning ◽  
Mixed Model Assembly Lines ◽  
Mixed Model Assembly
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