Abstract: A production information generation system includes a production information generation device and a work instruction information output device.

Abstract: A work capacity analysis is performed to improve productivity of a worker. A work support apparatus includes a storage unit that stores work instruction information including instructions of work procedures for instructing workers to perform predetermined work processes and work capacity model information including a plurality of models determined based on physical characteristics of the workers in respective work processes; a work sensing processing unit that senses the physical characteristic of the worker during a work that the worker performs based on the work instruction information and generates sensing information; and a work capacity evaluation processing unit that selects, for each of the workers, one or a plurality of models corresponding to the sensing information from the work capacity model information and associates the selected model with the sensing information to generate work capacity evaluation information.

Abstract: A product design and process design device includes: a storage unit that stores design specification information containing the tolerance of a dimensional variation at any site of an assembly product, part dimension error information, assembly facility error information, assembly tolerance information, the part dimension error information, and the assembly facility error information, part manufacturing cost information, and facility investment cost information with respect to the assembly facility error information; a tolerance distribution processing unit that uses the assembly tolerance information to generate proposed tolerance distributions that differ in distributional combination with respect to each error, and calculates part manufacturing costs and facility investment costs; a facility planning processing unit that determines a proposed tolerance distribution, with, as an evaluation index, total production costs respectively including the sums of the part manufacturing costs and the facility investmen

Abstract: A product design and process design device includes: a storage unit that stores design specification information containing the tolerance of a dimensional variation at any site of an assembly product, part dimension error information, assembly facility error information, assembly tolerance information, the part dimension error information, and the assembly facility error information, part manufacturing cost information, and facility investment cost information with respect to the assembly facility error information; a tolerance distribution processing unit that uses the assembly tolerance information to generate proposed tolerance distributions that differ in distributional combination with respect to each error, and calculates part manufacturing costs and facility investment costs; a facility planning processing unit that determines a proposed tolerance distribution, with, as an evaluation index, total production costs respectively including the sums of the part manufacturing costs and the facility investmen

Abstract: In order to automatically determine a structural member that is included in a structure and has flat surfaces, an input unit is configured to input three-dimensional point group data of the structure, a flat surface extraction unit is configured to extract the flat surfaces of the structure based on the three-dimensional point group data, a grouping unit is configured to group the flat surfaces into flat surface groups based on an angle of each of the flat surfaces with respect to a reference direction and a distance between the flat surfaces, a connection relationship extraction unit is configured to extract a connection relationship between the grouped flat surface groups, and a determination unit is configured to determine the structural member that the structure is constructed from based on the extracted connection relationship.

Abstract: In order to automatically determine a structural member that is included in a structure and has flat surfaces, an input unit is configured to input three-dimensional point group data of the structure, a flat surface extraction unit is configured to extract the flat surfaces of the structure based on the three-dimensional point group data, a grouping unit is configured to group the flat surfaces into flat surface groups based on an angle of each of the flat surfaces with respect to a reference direction and a distance between the flat surfaces, a connection relationship extraction unit is configured to extract a connection relationship between the grouped flat surface groups, and a determination unit is configured to determine the structural member that the structure is constructed from based on the extracted connection relationship.

Abstract: A technique of calculating a trajectory including preferable suspension posture and arcuate trajectory without interference is provided in relation to the system that calculates the trajectory in the suspension conveyance using conveying equipment.

Abstract: Disclosed are a device, a system, and a method for setting standard work times that take real-world manufacturing capabilities into account. Provided is a standard work time calculation device (10), which analyzes fluctuations in production line assessment indices on a per time period basis, and computes standard work times for each region, as classified according to the degree of fluctuation. The standard work time calculation device (10) comprises a fluctuation coefficient computation unit (111), which computes coefficients of fluctuation for the assessment indices, a fluctuation region identification unit (112), which identifies regions of fluctuation with coefficients of fluctuation that are greater than or equal to predetermined thresholds, and a standard work time computation unit (113), which computes standard work times for regions of fluctuation.

Abstract: A conveyance system. The conveyance system includes a movable device for conveying an article, and a robot selected from the group consisting of an articulated robot and an orthogonal robot. The movable device is configured to be both vertically and horizontally movable; and, the robot is mounted on the movable device. The robot includes a hand and a gripper disposed on the hand. The gripper is configured to hold the article. The movable device and the robot are configured to convey the article in conveyance operations that include an extraction, a conveyance, and an installation, of the article; the range of the conveyance operations lies within a working range of the robot from a present position that is selected with priority. The movable device is configured to remain in a stationary state when the article is conveyed by the robot using the conveyance operations within the working range.

Abstract: Planning items necessary for the evaluation of a manufacturing capability in a production line are categorized from process routes of operation achievement information for every ordered product, so that operation time per process unit is calculated. Thereupon the similarity of the process routes of the categorized planning items to those of an ordered product is evaluated, the planning items are allocated to the ordered product, and different product operation time is set up for every specification, so that a manufacturing capability of a production line is precisely evaluated to make a production plan.

Abstract: Disclosed are a device, a system, and a method for setting standard work times that take real-world manufacturing capabilities into account. Provided is a standard work time calculation device (10), which analyzes fluctuations in production line assessment indices on a per time period basis, and computes standard work times for each region, as classified according to the degree of fluctuation. The standard work time calculation device (10) comprises a fluctuation coefficient computation unit (111), which computes coefficients of fluctuation for the assessment indices, a fluctuation region identification unit (112), which identifies regions of fluctuation with coefficients of fluctuation that are greater than or equal to predetermined thresholds, and a standard work time computation unit (113), which computes standard work times for regions of fluctuation.

Abstract: A conveyance system. The conveyance system includes a movable device for conveying an article, and a robot selected from the group consisting of an articulated robot and an orthogonal robot. The movable device is configured to be both vertically and horizontally movable; and, the robot is mounted on the movable device. The robot includes a hand and a gripper disposed on the hand. The gripper is configured to hold the article. The movable device and the robot are configured to convey the article in conveyance operations that include an extraction, a conveyance, and an installation, of the article; the range of the conveyance operations lies within a working range of the robot from a present position that is selected with priority. The movable device is configured to remain in a stationary state when the article is conveyed by the robot using the conveyance operations within the working range.

Abstract: Embodiments of the present invention provide a method and system for solving a location designation problem to give specific instructions to workers as to where the device that has completed processing is in the production site, and a setup starting time designation problem to give instructions to workers as to when the setup for operation after a test is completed is conducted. One embodiment includes a means for recognizing the processing progress statuses of the devices in the production site, means for indicating the processing progress statuses of the devices, means for predicting the processing completion times of the devices, and means for indicating when a preparation (setup operation) is started for a particular device.

Abstract: To create production instructions in a short period of time, in the presence of a divergence between a planned production number and the number of performance generated by variations of production volume due to variations of yield with respect to production lines of electronic device products such as a hard disk and a liquid crystal display, a product ratio of input volume to a production line (product mix) is changed by calculating the average number of performance and a standard deviation in an arbitrary period from the divergence between the planned number of production and the number of performance at the present and the production performance in the past; calculating a target achievement probability to a final target from the average number of performance, the standard deviation and the production performance at present; and comparing the target achievement probability to the final target with a threshold.

Abstract: In a quality control system for manufacturing industrial products, the product quality history and the manufacturing process history are collected and collated to calculate the correlation magnitude between the two histories. The candidates for the cause of quality variation hidden in the manufacturing processes are listed, and the correlation magnitude between all combinations of the variates of the manufacturing process history are calculated. Further, by utilizing the manufacturing sequence history used for an input plan, a causation connecting structure model between the manufacturing processes of the manufacturing line is automatically generated and automatically analyzed thereby to automatically extract the fundamental cause of quality variation from the candidates for the cause of quality variation. By doing so, the cause of quality variation of industrial products manufactured through a complicated process can be traced in a complicated connecting structure in the manufacturing history data.

Abstract: In a quality control system for manufacturing industrial products, the product quality history and the manufacturing process history are collected and collated to calculate the correlation magnitude between the two histories. The candidates for the cause of quality variation hidden in the manufacturing processes are listed, and the correlation magnitude between all combinations of the variates of the manufacturing process history are calculated. Further, by utilizing the manufacturing sequence history used for an input plan, a causation connecting structure model between the manufacturing processes of the manufacturing line is automatically generated and automatically analyzed thereby to automatically extract the fundamental cause of quality variation from the candidates for the cause of quality variation. By doing so, the cause of quality variation of industrial products manufactured through a complicated process can be traced in a complicated connecting structure in the manufacturing history data.

Abstract: A method and apparatus for controlling a robot which performs an operation on an object while applying any desired force to the object, and a method of controlling automobile suspensions so as to maintain the contact between the automobile and a road surface appropriately. A robot controller which controls the motion of an end effector includes a rotating body, using an external force applied to the effector. The controller beforehand measures the tensor of inertia of the rotating body, calculates the angular momentum of the rotating body on the basis of a sensed value output from a unit for sensing the rotational speed of the rotating body and the tensor of inertia of the rotating body, calculates a gyro-moment occurring in the rotating body on the basis of a sensed value output from a sensor for sensing the motion of the robot and the angular momentum of the rotating body, and uses as a control input value the external force from a sensor for sensing value minus the value of the gyro-moment.

Abstract: A control system in which an end effector of a robot is mechanically compliant for a particular object. The robot has multiple degrees of freedom and movement and includes a sensor which senses a velocity nd a sensor which senses an external force. A virtual compliance control method is applied to the robot. Influence of the weight and gyro moment of the end effector is subtracted from a value obtained from a mechanism which senses the external force to set a term of the external force in a mathematic model of the control system constructed during control. By such arrangement, when a rotational body having a mechanically large rotational momentum is set as the end effector of the robot, the control system is mechanically compliant with the object.