An Analytic Model for Design of a Multivehicle Automated Guided Vehicle System
We consider the problem of designing a multivehicle automated guided vehicle system (AGVS) to supplement an existing nonautomated material handling system. The AGVS consists of a pool of vehicles that deliver raw components from a central storage area to workcenters throughout the factor floor. The...
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| Vydáno v: | Management science Ročník 39; číslo 12; s. 1477 - 1489 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Linthicum, MD
INFORMS
01.12.1993
Institute of Management Sciences Institute for Operations Research and the Management Sciences |
| Edice: | Management Science |
| Témata: | |
| ISSN: | 0025-1909, 1526-5501 |
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| Abstract | We consider the problem of designing a multivehicle automated guided vehicle system (AGVS) to supplement an existing nonautomated material handling system. The AGVS consists of a pool of vehicles that deliver raw components from a central storage area to workcenters throughout the factor floor. The objective is to determine which workcenters warrant automated component delivery and the number of vehicles required to service those workcenters, to maximize the benefit of the AGVS, subject to a constraint that the average waiting time for material transport in the system not exceed a predefined limit. The pool of vehicles is modeled as an M / G / c queuing system and the design model is formulated as a binary integer program with nonlinear waiting time constraints, which are expressed by approximate queueing formula. We develop two different implicit enumeration algorithms to exactly solve the analytical model. We illustrate our model with an example of an actual AGVS design problem at Hewlett-Packard, and we present computational experience for other example design problems. We show how sensitivity analysis can be used to ensure that the analytical model yields an optimal solution to the design problem. |
|---|---|
| AbstractList | We consider the problem of designing a multivehicle automated guided vehicle system (AGVS) to supplement an existing nonautomated material handling system. The AGVS consists of a pool of vehicles that deliver raw components from a central storage area to workcenters throughout the factor floor. The objective is to determine which workcenters warrant automated component delivery and the number of vehicles required to service those workcenters, to maximize the benefit of the AGVS, subject to a constraint that the average waiting time for material transport in the system not exceed a predefined limit. The pool of vehicles is modeled as an M/G/c queuing system and the design model is formulated as a binary integer program with nonlinear waiting time constraints, which are expressed by approximate queueing formula. We develop two different implicit enumeration algorithms to exactly solve the analytical model. We illustrate our model with an example of an actual AGVS design problem at Hewlett-Packard, and we present computational experience for other example design problems. We show how sensitivity analysis can be used to ensure that the analytical model yields an optimal solution to the design problem. We consider the problem of designing a multivehicle automated guided vehicle system (AGVS) to supplement an existing nonautomated material handling system. The AGVS consists of a pool of vehicles that deliver raw components from a central storage area to workcenters throughout the factor floor. The objective is to determine which workcenters warrant automated component delivery and the number of vehicles required to service those workcenters, to maximize the benefit of the AGVS, subject to a constraint that the average waiting time for material transport in the system not exceed a predefined limit. The pool of vehicles is modeled as an M / G / c queuing system and the design model is formulated as a binary integer program with nonlinear waiting time constraints, which are expressed by approximate queueing formula. We develop two different implicit enumeration algorithms to exactly solve the analytical model. We illustrate our model with an example of an actual AGVS design problem at Hewlett-Packard, and we present computational experience for other example design problems. We show how sensitivity analysis can be used to ensure that the analytical model yields an optimal solution to the design problem. The problem of designing a multivehicle automated guided vehicle system (AGVS) to supplement an existing nonautomated material handling system is considered. The AGVS consists of a pool of vehicles that deliver raw components from a central storage area to workcenters throughout the factor floor. The objective is to determine which workcenters warrant automated component delivery and the number of vehicles required to service those workcenters, to maximize the benefit of the AGVS, subject to a constraint that the average waiting time for material transport in the system not exceed a predefined limit. The pool of vehicles is modeled as a M/G/c queuing system and the design model is formulated as a binary integer program with nonlinear waiting time constraints, which are expressed by approximate queuing formula. Two different implicit enumeration algorithms are developed to exactly solve the analytical model. The model is illustrated with an example of an actual AGVS design problem at Hewlett-Packard, and computational experience is presented for other example design problems. It is also shown how sensitivity analysis can be used to ensure that the analytical model yields an optimal solution to the design problem. |
| Author | Brandeau, Margaret L Johnson, M. Eric |
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| ContentType | Journal Article |
| Copyright | Copyright 1993 The Institute of Management Sciences 1994 INIST-CNRS Copyright Institute for Operations Research and the Management Sciences Dec 1993 |
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| DOI | 10.1287/mnsc.39.12.1477 |
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| Snippet | We consider the problem of designing a multivehicle automated guided vehicle system (AGVS) to supplement an existing nonautomated material handling system. The... The problem of designing a multivehicle automated guided vehicle system (AGVS) to supplement an existing nonautomated material handling system is considered.... |
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| SubjectTerms | AGVS Algorithms Analysis Analytical models Applied sciences Approximation automated systems Automation Computer science; control theory; systems Constraints Control theory. Systems Design analysis Enumeration Exact sciences and technology Intelligent vehicles Manufacturing Materials handling Mathematical models Motor vehicle traffic network models Optimal solutions Process control. Computer integrated manufacturing Queueing Queuing theory Sensitivity analysis Storage Systems design Transport Transportation Travel time Vehicles |
| Title | An Analytic Model for Design of a Multivehicle Automated Guided Vehicle System |
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