The invention relates to a dental milling machine which has a closed milling chamber (12). Said milling chamber has an air inlet opening and an outlet which are substantially opposite each other relative to the milling chamber and generate an air stream. Said air stream sweeps over a machining area in which a milling tool subjects the workpiece to a milling machining step. One end of the milling chamber (12), in particular the front end, has a door that can be opened. The base (42) of the milling space (12) runs at least partially at an angle and in particular is rounded off and the outlet (40) is connected to the lowest region of the base (42).

“Cloud” based manufacturing execution systems (“MES”) and methods thereof used to control, execute, and monitor pharmaceutical or biopharmaceutical production processes and systems are disclosed herein. Consequently, the methods and systems provide a means to quality manufacturing on an integrated level whereby drug or biologic manufacturers can achieve data and product integrity and ultimately minimize cost.

Techniques are described for electrical equipment management. Embodiments include receiving and validating a login request from a user. Receiving a selection of an order of an electrical equipment system to assemble and, in response, retrieving and providing a plurality of instructions. Performing an iterative assembly process to manage the assembly of the electrical equipment system by the user, wherein the iterative assembly process comprises iterating through the plurality of instructions for assembling the electrical equipment. Recording digital artifacts of the electrical equipment system during performance of the plurality instructions as part of the iterative assembly process and upon determining that compliance has been achieved for the assembled electrical equipment system based on the recorded digital artifacts satisfying a predefined compliance standard, record a final assembly report for the electrical equipment system. Embodiments include storing the final assembly report together with a unique identifier corresponding to the assembled electrical equipment system.

A method and system for generating a physical layout for a grating coupler integrated in a photonically-enabled circuit are disclosed herein. In some embodiments, the method receives a parametrized wavelength, a parametrized first refractive index, a parametrized second refractive index, a parametrized taper length, a parametrized width, a parametrized grating length, and a parametrized incident angle of the optical beam incident onto the grating coupler and generates a physical layout for the grating coupler based on the received parametrized inputs, the generating of the physical layout is according to a predefined model, and outputs the physical layout of the grating coupler for manufacturing under a semiconductor fabrication process.

Conventionally, in order to hold data with a high sampling rate in a control device, it has been necessary to increase the capacity of ring buffers. A data management method for a semiconductor manufacturing apparatus includes acquiring, by a control device, data related to operation of the semiconductor manufacturing apparatus, identifying, by the control device, first data and second data of the acquired data, writing, by the control device, the first data to a first ring buffer at first temporal granularity and the second data to a second ring buffer at second temporal granularity coarser than the first temporal granularity, and extracting, by a data management device, the first and second data from the first ring buffer and the second ring buffer respectively and storing the first and second data in a database.

Described herein are methods and manufacturing systems that select fasteners for pre-feeding and, in some examples, pre-feed the selected fasteners. These methods involve aggregating historical manufacturing data, comprising hole identifications and fastener grip lengths, previously selected for these hole identifications. A specific grip length and a corresponding fastener repeatability rating are then determined for each hole identification from this historical manufacturing data. For example, a specific grip length corresponds to the most frequently selected grip length for this hole identification. In some examples, the historical manufacturing data is analyzed using machine learning. The fastener repeatability rating is compared to an operating threshold, in some examples, to determine if the corresponding grip length should be selected for a particular hole location. This grip length selection is then used for pre-feeding a corresponding fastener into an automated drilling machine, thereby saving significant processing time relative to conventional processes.

Wafer quality is determined by modeling equipment history as a sequence of events, then evaluating anomalous results for individual events. Identifying an event that generates bad wafers narrows the list of possible root causes.

In an embodiment, a system includes a profiler configured to detect variations along a surface of a semiconductor stage; and a jig configured to move the profiler along an axis over the semiconductor stage.

Planner insight analytics identifies orders and sizes customers can execute to achieve business and operational efficiency. Generating optimal trimming patterns for trimming raw rolls and/or sheets of a flat sheet stock/customer orders includes: (a) receiving customer orders, primary and secondary machine specifications, warehouse inventory, and trade constraints; and (b) generating solutions for (i) order quantity fulfillment, (ii) a primary cutting pattern for the primary machine, (iii) a secondary cutting pattern for the secondary machine, and (iv) inventory details, wherein the solutions are generated with consideration of the initial trade constraints; (c) executing a batch and generating suggestions; (d) generating modified solutions for the parameters in step (b) using revised trade constraints derived from the suggestions generated that override the initial trade constraints in (c); and (e) operating a cutting apparatus. Trim optimization knapsack algorithm with objective function with term relating to trim loss which is eventually minimized is employed.

The present invention provides apparatus and methods for production of tissue structures and organs. In some examples, a cleanspace facility may be equipped with modelling hardware and software, nanotechnology and microelectronic apparatus, and additive manufacturing equipment to print cells and support matrix to allow cells to grow into tissue structures and organs. Various methods relating to using and producing the tissue engineering system are discussed.