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Production Scheduling

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SMT Assembly Line   Production Scheduling When we need to process different products in the same line we want to work out the best job sequence to minimize lead time and maximize capacity utilization. We also need to work out the minimum lot size to meet the demand and minimize lead time. Before we can commit the delivery date of a new job to the customer we need to know the status of the jobs already being processed For non repetitive processes you can use project management scheduling The ideal of "Lean Production" is lot size of 1 but this is not always possible when change-over time is significant.  This change-over involves loading different components and changing jigs or molds.  When change over or setup time is significantly higher than process time we are forced to work with larger lot sizes. One way to minimize lot size is to minimize setup time. The SMED (Single Minute Exchange of Dies) methodology has been very successful to reduce setup times from hours to ...

Real Time Value Stream Data Collection

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  Value streams require real time data collection to control them. This is often done automatically by the equipment itself, but in some occasions it must be done manually.  In spite of the high-tech of our shop floors you can still see pencil and paper data collection being used. https://youtu.be/AIq8yi2Ej4s Unfortunately, detecting aspect defects is often difficult to automate even with AOI (Automatic Optical Inspection). When an operator is required to inspect, we need a method to enter the results into the system. Line incidents, change of critical process parameters, etc. also need to be reported the moment they hapen. Pencil & Paper Reporting The method, still widely used in this 21st century, follows these basic steps: The operator hand writes the defect data on a form Forms are collected at the end of the shift A clerk types the forms contents into the system at a later stage The engineer analyses the results and takes corrective actions, well after the data wa...

Response Surface Design Of Experiments with Excel

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Design of Experiments is a useful methodology for process improvement. The purpose is to find a relationship between process variables we can control, and key process outputs, to increase process capability . You can use Excel statistical analysis tools, Solver, Pivot charts, etc. to plan and analyse the results of these experiments. The first approach is to look for a linear relationship, as shown in:   Excel DOE But in some cases this relationship may not be linear, in which case we will try a quadratic model with Response Surface DOE . We will use an example in this Excel file you can download: Download file   ExcelResponseSurface.xlsm   from OneDrive to your PC. In this example we are trying to maximize process yield, acting on the critical factors pH , Temperature and Time . We will run the experiments in the Experiments simulation sheet using coded values.   Code pH Temperature Time -1 2 120 7 1 12 150 15 Factorial Experiments We start by running...