COMPARATIVE ADVANTAGE MAXIMIZING MODEL FOR HEDGE ETA AMID SMES

Purpose- An index of eta shall realistically align and enhance on work order basis process in manufacturing, due to tough business in competition urging SMEs to smart comparative advantage. Once these improvements failed, could not heal existent chronic pandemic of efficiency or effectiveness either. Methodology- The research contrasts both substantial endogenous and exogenous variables by the driver of scale ratio as well as a throughput yield index, reflects the timely outcome to identify and fuse both quantitative and qualitative together driven by OEE, which correspond with among performance index, availability index, and quality index, runs live attributive data of subcategory to understand OEE based on financeoutcome dimension and process-outcome dimension from original uploading points. Findings- SMEs accounted over nighty percent in industry, using OEE as a metric to address future discounting in hazy rule. Therefore, fusing the latest information technology is vital in assisting current deviation on tractable, realistic, and applicable improvement, which finds out a way forward maximum comparative advantage that while plotting the flexibility associated by Edge Computing under Modules Driven Architecture. Conclusion- Focus means about making it simple. A model provides particular eta to optimize scheduled work order validly. One case study is employed to explain and benefit both OEE and ROI.

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