Abstract: This traveling system includes: a setting processing unit that sets a travel route corresponding to each of the plurality of automatic traveling devices; a calculation processing unit that, when a first automatic traveling device interferes with a travel of other automatic traveling devices, calculates an evaluation value representing an influence level that the first automatic traveling device imposes on the travel of the other automatic traveling devices; and a change processing unit that, when the evaluation value calculated by the calculation processing unit is greater than or equal to a threshold, changes the travel route that is set to the first automatic traveling device by the setting processing unit.

Abstract: A transport system includes: a reception processor that receives a transport request to transport a first picking object corresponding to a first automatic transport device; and a determination processor that determines a destination of the first automatic transport device based on the number of automatic transport devices present in a first picking area that includes a first picking location for the first picking object and space availability at one or more picking locations in the first picking area.

Abstract: A conveyance system according to this disclosure includes a movement request acceptor which accepts a movement request to an automatic conveying device; and a section travel-route setter which sets a section travel route with a predetermined length constituting a part of a travel route from a current position of a first automatic conveying device to a destination position so that the section travel route of the first automatic conveying device does not overlap the section travel route set for another second automatic conveying device on the basis of the movement request accepted by the movement request acceptor, in which the section travel-route setter repeatedly executes processing of setting a second section travel route with an end position of a first section travel route as a start position of the subsequent second section travel route while the automatic conveying device is traveling on the first section travel route.

Abstract: A conveyance system according to the present disclosure includes a conveyance request receiver that receives conveyance requests of the conveyance targets, a combination pattern generator that combines the conveyance requests so as to generate conveyance request combination patterns of different combinations, an appropriateness evaluator that performs appropriateness evaluation on the individual conveyance request combination patterns, a combination pattern selector that selects one of the conveyance request combination patterns based on a result of the evaluation, and a conveyance instructor that outputs a conveyance instruction to the automatic conveyance apparatus based on the selected conveyance request combination pattern.

Abstract: A conveyance system according to the present disclosure includes a conveyance request receiver that receives the conveyance requests of the conveyance targets, a starting area selector that selects a starting area from among the partial areas, a partial area traveling order setter that sets the starting area to one of the partial areas to be traveled first and sets partial area traveling order for traveling of an automatic conveyance apparatus, and a storage position traveling order setter that sets storage position traveling order of the automatic conveyance apparatus inside each of the partial areas. The automatic conveyance apparatus travels the partial areas in accordance with the partial area traveling order and travels the storage positions in accordance with the storage position traveling order inside each of the partial areas so as to convey the conveyance targets corresponding to the received conveyance requests inside the entire area.

Abstract: An optimization system includes an optimization server and a management server, and the management server controls an AGV. The AGV transports a cargo and notifies the management server of a traveling state during traveling. The management server stores the traveling state of the AGV in a database. The optimization server estimates the traveling parameter to be used for the subsequent experimental traveling and repeats an experiment based on an experiment design for experimental traveling and the number of times of back-and-forth sway and the right-and-left sway width of the AGV when the AGV travels by using the traveling parameter estimated from the default value of the traveling parameter and an experiment result of the experimental traveling of the AGV. After the experiment ends, the optimization server optimizes the traveling parameter for each traveling state of the AGV based on the experiment result.

Abstract: An automatic vehicle dispatching system is applied to a factory where manufacturing operation devices reside, and includes an optimization server, a management server, and AGVs. The management server controls transfer of the AGVs and transmits a current transport request received from one of the manufacturing operation devices to the optimization server. The optimization server predicts a future transport request to be issued by each of other manufacturing operation devices using predicted transport request interval patterns, and generates allocation models by allocating AGVs to each transport request in different patterns. The optimization server predicts required transfer times for the allocated AGVs and adds up the required transfer times for each allocation model.

Abstract: An automatic vehicle dispatching system is applied to a factory where manufacturing operation devices reside, and includes an optimization server, a management server, and AGVs. The management server controls transfer of the AGVs and transmits a current transport request received from one of the manufacturing operation devices to the optimization server. The optimization server predicts a future transport request to be issued by each of other manufacturing operation devices using predicted transport request interval patterns, and generates allocation models by allocating AGVs to each transport request in different patterns. The optimization server predicts required transfer times for the allocated AGVs and adds up the required transfer times for each allocation model.

Abstract: An automatic traveling system includes a management server and an AGV, and the management server controls the AGV. When there is a transport request, the management server determines an available AGV, determines a traveling route from a standby position to a loading position, determines a traveling parameter table corresponding to the traveling route, and transmits a traveling instruction including the traveling route and the traveling parameter table to the target AGV. The AGV travels along the traveling route by using a traveling parameter corresponding to the load of a cargo and the traveling velocity. The AGV also travels from the loading position to a transport destination and then from the transport destination to the standby position. For each traveling route, the traveling route and the corresponding traveling parameter table are transmitted to the target AGV.

Abstract: A work plan generation apparatus according to the present invention includes a worker information storage, a shipment time storage, a workload estimation information generator, a shipping preparation work time period setter, and a worker allocation plan generator. The workload estimation information generator generates workload estimation information indicating the estimated workload of a shipping preparation work for a product for each of one or more work units. The shipping preparation work time period setter sets shipping preparation work time periods corresponding to the one or more shipment times stored in the shipment time storage for each of the one or more work units. The worker allocation plan generator assigns a worker who performs the shipping preparation work to each shipping preparation work time period based on the worker information and the workload estimation information for each of the one or more work units to generate an allocation plan of the workers.