We develop and illustrate an approach for design of shop floor automated guided vehicle systems (AGVSs) with multiple-load capacity. Vehicles provide material from a central depot to shop floor workcenters. The AGVS supplements an existing nonautomated material handling system. The design decision is to determine which workstations to service by the AGVS, and how many vehicles are needed, to meet a specified service level. We build upon an existing AGVS design model (a mathematical program) which assumes that vehicles visit workstations on a first-come-first-served basis, carrying one load per trip. We show how that model can be adapted to solve a design problem in which vehicles can carry more than one load per trip—yielding an improved system design. We illustrate our approach by solving six examples inspired by design problems faced at Hewlett-Packard Company.
Skip Nav Destination
Article navigation
February 1995
This article was originally published in
Journal of Engineering for Industry
Technical Papers
Designing Multiple-Load Automated Guided Vehicle Systems for Delivering Material from a Central Depot
M. Eric Johnson,
M. Eric Johnson
Owen Graduate School of Management, Vanderbilt University, Nashville, TN 37203
Search for other works by this author on:
Margaret L. Brandeau
Margaret L. Brandeau
Department of Industrial Engineering and Engineering Management, Stanford University, Stanford, CA 94305
Search for other works by this author on:
M. Eric Johnson
Owen Graduate School of Management, Vanderbilt University, Nashville, TN 37203
Margaret L. Brandeau
Department of Industrial Engineering and Engineering Management, Stanford University, Stanford, CA 94305
J. Eng. Ind. Feb 1995, 117(1): 33-41
Published Online: February 1, 1995
Article history
Received:
June 1, 1991
Revised:
December 1, 1993
Online:
January 17, 2008
Citation
Johnson, M. E., and Brandeau, M. L. (February 1, 1995). "Designing Multiple-Load Automated Guided Vehicle Systems for Delivering Material from a Central Depot." ASME. J. Eng. Ind. February 1995; 117(1): 33–41. https://doi.org/10.1115/1.2803275
Download citation file:
Get Email Alerts
Cited By
Optimal Process Planning for Hybrid Additive and Subtractive Manufacturing
J. Manuf. Sci. Eng (June 2023)
A Theoretical and Experimental Study on High-Efficiency and Ultra-Low Damage Machining of Diamond
J. Manuf. Sci. Eng (July 2023)
Pose-dependent Cutting Force Identification for Robotic Milling
J. Manuf. Sci. Eng
Related Articles
A Labeling Algorithm for the Navigation of Automated Guided Vehicles
J. Eng. Ind (August,1993)
A Dexterous Part-Holding Model for Handling Compliant Sheet Metal Parts
J. Manuf. Sci. Eng (February,2002)
Optimal Trajectory Planning For Material Handling of Compliant Sheet Metal Parts
J. Mech. Des (June,2002)
Tracking Design of an Omni-Direction Autonomous Ground Vehicle by Hierarchical Enhancement Using Fuzzy Second-Order Variable Structure Control
J. Dyn. Sys., Meas., Control (September,2018)
Related Proceedings Papers
Related Chapters
A Mathematical Model and Heuristic Procedure for Cellular Layout
International Conference on Software Technology and Engineering, 3rd (ICSTE 2011)
AGV Based on Adaptive Fuzzy Potential Field Approach
International Conference on Advanced Computer Theory and Engineering, 5th (ICACTE 2012)
Computer Aided Manufacturing (CAM)
Computer Aided Design and Manufacturing