Hitachi, Ltd.

Atsuko Enomoto

Daiki Kajita

Takahiro Nakano

Noriaki Yamamoto

Takaharu Matsui

Yuta Yamauchi

Reiko Inoue

It is possible to more efficiently make a factory plan configured to maximize a productivity index. Provided is a factory plan device including a calculation unit configured to specify a process and a production resource candidate based on a shape of a component of a target product by inputting past production performance data of a product, production volume data, design data of the product, specification data of a production resource, and layout data of a factory, and to calculate a process plan configured to determine order of the process and the production resource, a production plan configured to determine working date and time of the production resource, and a layout of the production resource so as to maximize a predetermined productivity index in the factory.

Factory plan device, factory plan system, and factory plan method

In an arrangement design of a robot cell and of robot work, a planning device searches an arrangement graph, that shows candidates for relative positions and orientations between a robot and a fixture; searches a disassembly task sequence, of disassembly tasks that are operations of the robot for disassembling components from the assembly in an arrangement of the relative positions and orientations between the robot and the fixture, and searches for, based on a point sequence of positioning relay points of the robot, a trajectory in which the robot disassembles the components from the assembly; and generates assembly tasks formed of a point sequence obtained by reversing the point sequence of the relay points, an assembly trajectory of the robot which is reverse to a disassembly trajectory formed of interpolation points between the point sequences, and an assembly sequence, which is a reverse order of the disassembly task sequence.

Planning device, planning method, and planning program

An assembly planning device: holds a partial-order graph showing assembly operations of parts and an order constraint based on a partial-order relationship of the assembly operations, an operation sequence template showing an operation sequence and a required time of the operation sequence, and part information showing parts that can be assembled by robots; refers to the part information to generate allocation plans in which the robot are allocated to the assembly operations shown by the partial-order graph; for each of the allocation plans, refers to the operation sequence template to allocate an operation sequence for each assembly operation shown by the allocation plan; calculates movement times of the robots in the allocated operation sequence; calculates an operation time in the allocation plan based on the movement times and the required time shown by the operation sequence template; and selects an allocation plan based on the operation times.

Assembly planning device, assembly planning method, and non-transitory computer-readable storage medium

A line configuration planning device determine a task sequence during production of the to-be-produced product and the task time by the worker or the automatic machine for each task on the basis of the task information and the task time information. The line configuration planning device determine a required cycle time for producing the to-be-produced product on the basis of the production plan information. The line configuration planning device generate, on the basis of the determined task sequence, task time, and required cycle time, an allocation proposal for the worker and the automatic machine such that an estimated cycle time for producing the to-be-produced product is less than or equal to the required cycle time. The line configuration planning device determine a production line configuration for the to-be-produced product on the basis of the allocation proposal and the equipment configuration information.

Line configuration planning device

An apparatus is configured including an information obtaining unit that extracts information on plural parts' attributes, locations, and adjoining relations with other parts; a unit that sorts parts by part type and detects a distinctive shape from 3D CAD model; a unit that represents adjoining relations between parts in an assembly graph; a unit that creates disassembling directions and a disassembling sequence based on the assembly graph and, by reversing them, derives an assembling sequence and assembling directions; a unit that computes an index indicating a quality of easiness of assembling a part by subtracting the sum of deficiency points per part from a reference score; a unit that creates virtual worker positions, postures, and viewpoints according to assembling sequence and evaluates workability; and a unit that computes an evaluation value per part by the index of easiness of assembling the part and a total evaluation value of assembly workability.

Assembly workability evaluation calculation device and assembly workability evaluation method

Provided is a technology for automatically generating a camera pose enabling the viewing of an operation of an object component in a work instruction animation. A primary inertia axis of an assembled item is calculated from inertia tensor information of a plurality of components constituting the assembled item. Adjacency relationship information indicating an adjacency relationship between the plurality of components is acquired. Based on the adjacency relationship information of the plurality of components, an assembly sequence and an assembly motion vector indicating an assembled direction of the plurality of components are generated such that each of the plurality of components does not interfere with a proximate component. Further, a plurality of camera eye sights each having a camera axis about the primary inertia axis and providing an operator's vision candidate during the generation of the assembly animation is arranged.

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Tokyo, Japan

Atsuko Enomoto