Siemens Aktiengesellschaft

Georg Baier

Christian Royer

Silvio Becher

Lena Hupp

Konstantin Keutner

Provided is a method for optimizing the occupancy of magazine spaces by tools within at least one tool magazine for a machine tool in a computer-supported manner, including: detecting a quantity of magazine spaces in at least one tool magazine, detecting a first quantity of tools which occupy at least one magazine space and the magazine spaces occupied by the tools, detecting a second quantity of tools which are to be additionally received in the at least one tool magazine, detecting the required space and optionally at least one other property for each tool, detecting a quantity of allowed magazines spaces for each tool, detecting a quantity of allowed magazine space pairs, wherein a first tool can be placed on a first magazine space of the magazine space pair, and optimizing the occupancy of the magazine spaces.

Method for optimizing the occupancy of magazine spaces by tools in a computer-supported manner

A method for optimizing the occupancy of magazine spaces by tools within at least one tool magazine for a machine tool in a computer-supported manner is provided. One or more workpieces of one or more workpiece types is produced using the tools supplied by a magazine device at a supply area, having the following steps: a-i) detecting a number of workpieces, magazine spaces, a number of tools, required space, allowable magazines spaces for each tool, allowable starting magazine occupancy, a sequence of work steps to be carried out by the machine tool on a workpiece, work step time periods required to carry out each individual work step on the workpiece, one or more supply time periods depending on the sequence of the work steps to be carried out, and j) optimizing the occupancy of the magazine spaces by tools.

Method and apparatus for computer aided optimization of an occupancy of magazine slots by tools

A machine tool which is designed to carry out a specified sequence of work steps is provided. A tool and a processing time is assigned to each work step. A tool magazine is designed to keep a number of tools ready for the machine tool and includes a feeder for conveying tools from and to a transfer point for the machine tool. In a method for assigning tools to spaces of the tool magazine, a number of work steps are determined from the sequence, the respective processing time of each work step being shorter than a specified cycle time of the tool magazine. A work step is iteratively selected from the number of work steps; a previously used tool and a subsequently used tool are assigned spaces of the tool magazine; and the work step is removed from the number of work steps.

Assigning tools to spaces in a tool magazine

A method for the computer-aided optimization of tool transports for at least one tool magazine having a number of magazine locations, which is used for a machine tool for the production of one or more workpieces with the aid of the tools provided by a magazine device at a provision location, the method including: a) detecting a quantity of tools, b) determining the space required for each tool, c) detecting a quantity of occupiable magazine locations for each tool, d) detecting a permissible output magazine occupancy e) detecting the permissible target magazine occupancy, f) detecting a quantity of transport durations required for a journey of the magazine device, g) determining a partial quantity of tool transports for which a transport sequence is specifiable so that the tools are movable in the transport sequence, h) optimizing the transport sequence for the partial quantity of tool transports.

Method and device for the computer-aided optimization of tool transporting operations for at least one tool magazine having a number of magazine locations

A component of a material flow system for transporting goods has a mechatronics arrangement with transport elements, sensors and actuators for transporting the goods, a control device for controlling the mechatronics arrangement, interfaces to adjacent components and the surroundings, and an internal simulator for determining the future state of the component. The internal simulator co-operates with internal simulators of other components of the material flow system, for determining a prognosis of the future state of the installation of the material flow system. The decentralized internal simulators can be synchronously or asynchronously activated.

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Munich, Germany

Georg Baier