A Lagrangian relaxation approach to solving the integrated pick-up/drop-off point and AGV flowpath design problem

DOI10.1016/J.APM.2003.12.007zbMath1090.90012OpenAlexW2043978314MaRDI QIDQ1776704

G. Don Taylor, Sunderesh S. Heragu, Srinivasan Rajagopalan

Publication date: 12 May 2005

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2003.12.007

zbMATH Keywords

Lagrangian relaxationAGVBi-directionalFlowpathp/d Points

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30)

Related Items (9)

Optimal facility layout and material handling network design ⋮ A dynamical approach for optimizing the trajectories of \(n\) automated guided vehicles ⋮ Designing an efficient method for tandem AGV network design problem using tabu search ⋮ A three-phase heuristic algorithm for fixed-charge capacitated material flow network design with input/output points location ⋮ A six sigma based multi-objective optimization for machine grouping control in flexible cellular manufacturing systems with guide-path flexibility ⋮ Linear programming and Lagrangian relaxation heuristics for designing a material flow network on a block layout ⋮ Designing an efficient method for simultaneously determining the loop and the location of the P/D stations using genetic algorithm ⋮ Developing exact and Tabu search algorithms for simultaneously determining AGV loop and P/D stations in single loop systems ⋮ Train timetabling for an urban rail transit line using a Lagrangian relaxation approach

Cites Work

• Flow network design for manufacturing systems layout
• Modeling and Analysis of Congestion in the Design of Facility Layouts
• The Lagrangian Relaxation Method for Solving Integer Programming Problems
• On convergence rates of subgradient optimization methods
• Facilities layout design optimization with single loop material flow path configuration
• Flexible guidepath design for automated guided vehicle systems
• Validation of subgradient optimization
• Heuristic unidirectional flowpath design approaches for automated guided vehicle systems

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