A review of design and control of automated guided vehicle systems <s> Multi-attribute dispatching rules <s> This paper proposes a new automated guided vehicle (AGV) dispatching algorithm based on a bidding concept. The suggested algorithm utilizes the information of work in process in incoming and outgoing buffers of a machine center, and travel time of an AGV through mathematical functions that are called “bidding functions” in this paper. Because the bidding functions have parameters, a sensitivity test is performed to find their appropriate values. The performance of the algorithm is compared with those of well-known existing rules in terms of system throughput through simulation on a hypothetical job shop type manufacturing system. <s> BIB001 </s> A review of design and control of automated guided vehicle systems <s> Multi-attribute dispatching rules <s> This paper considers the dispatching problem associated with operations of automated guided vehicles (AGVs). A multi-attribute dispatching rule for dispatching of an AGV is developed and evaluated. The multi-attribute rule, using the additive weighting method, considers three system attributes concurrently: the remaining space in the outgoing buffer of a workstation, the distance between an idle AGV and a workstation with a job waiting for the vehicle to be serviced, and the remaining space in the input buffer of the destination workstation of a job. A neural network approach is used to obtain dynamically adjusting attribute weights based on the current status of the manufacturing system. Simulation analysis of a job shop is used to compare the multi-attribute dispatching rule with dynamically adjusting attribute weights to the same dispatching rule with fixed attribute weights and to several single attribute rules. Results show that the multi-attribute dispatching rule with the ability to adapt attribute... <s> BIB002
Multi-attribute dispatching rules dispatch vehicles using more than one parameter  BIB001 BIB002 ). In general they outperform single-attribute dispatching rules.  propose several multi-attribute dispatching rules that are based on the multi-criteria decision making approach. BIB001 propose a multi-attribute dispatching rule based on the bidding concept. Jeong and Randhawa (2001) propose multi-attribute dispatching rules that use three parameters: vehicle empty travel distance, remaining spaces in input buffers and remaining spaces in outgoing buffers to decide which load should be transported by a vehicle. They use an additive waiting model to compute weights for member parameters. A neural network was used to dynamically adjust the parameters' weights reflecting changes in the system. According to their results, a simple multi-attribute dispatching rule with a good set of weights might perform very well and is better in many cases than a multi-attribute dispatching rule with dynamically adjusted weights. BIB002 have done a quite extensive simulation study, however only one layout was used in their experiments.