Improving Overall Equipment Effectiveness (OEE)

These are the details on what I would like in my research study order. The focus can be on any one of these four topic areas. For each of the four areas, I would like a case study on a given company and I would like you to share the datasets containing the complete pre and post-automation application data. If possible, I would like to have at least 12-month worth of data. At a minimum, the report will contain the following sections: 1) A research purpose and practical application. 2) A problem statement. 3) A thesis statement. 4) Proposed Research Methods. 5) Data Source/Description. 6) Analysis Methods. 7) Research questions. 8) Research hypotheses. 9) At least seven references. 10) A graph for each hypothesis. 11) Equations or algorithms that produce the graphs.
Here are the four topic areas of consideration:
1. The feasibility of converting from manual to automated data collection in a manufacturing plant, thereby transitioning downtime recording and overall equipment effectiveness (OEE) calculations from a lagging reporting system to real-time reporting and communication.
I would like the report to have the research underlying objective of delivering results that would enable a company’s decision makers to further improve OEE, product quality, and on-time delivery (OTD) capability, thus improving customer satisfaction and opportunity for sales growth. Key aspects will involve acquiring and synthesizing large amounts of data in order to identify workflow constraints, risks, issues, and opportunities. Ultimately, this will require performing detailed process analyses using Lean Six Sigma (LSS) to drive the design and implementation of optimized improvement strategies, as well as translating results into artifacts that are easily understandable and presentable to enable decision makers to take action.
2. Optimizing the productivity of manufacturing plants during workforce reductions: COVID-19 has caused some serious disruptions. Many companies have been subject to unexpected or forced reductions in their workforce. How do those reductions affect productivity from an OEE standpoint or other measurable factors?
3. Optimizing the reliability of manufacturing plants during maintenance workforce reductions: Again, looking at the COVID-19 impact on maintenance from an OEE standpoint.
4. Furthermore, I would also like to explore other potential process inputs beyond the OEE factors and assess their significance with regard to improving OEE and OTD.
Thank you!

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