COMPARATIVE ADVANTAGE MAXIMIZING MODEL FOR HEDGE ETA AMID SMES

Abstract

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.

Keywords

• Comparative advantage
• ROI
• OEE
• VUCA
• VIVO

References

1. Ackoff Russell L. (1994). Systems thinking and thinking systems. System Dynamic Review, https://doi.org/10.1002/sdr.4260100206
2. Baird John C. (1984). Information theory and information processing. Information Processing & Management, 20(3), 373-381. https://doi.org/10.1016/0306-4573(84)90068-2
3. Basu, V., Leaderer, A.L., (2004). An agency theory model of ERP implementation. SIGMIS Conference. Tucson, AZ USA. DOI: 10.1145/982372.982375
4. Bragg, S., (2020). Du Pont Analysis of Accounting Tools. Du Pont. https://www.accountingtools.com /articles/dupont-analysis.html
5. Bennett, N., Lemoine, G. J., (2014). What VUCA really means for you. Harvard Business Review, 92(1/2), 19-27.
6. Block, W. R., Lindeber, C. T., (1990). Project planning for EMS and SCADA systems. IEEE Transactions on Power Systems, 8(3), 151-159.
7. Clarke, R., (1988). Information technology and data veillance. Communications of the ACM, 31(5), 348-355. https://doi.org/10.1145/42411.42413
8. Coase, R.H., (1937). The Nature of the Firm. Economic 4, November, 386-405. Brown, A.R., (2017), Utah, USA.

9. Foresster, J. W., (1961). Industrial Dynamics. The M.I.T. Press, Cambridge, Massachusetts, USA.
10. Joo, H., (2017). A study on understanding of UI and UX, and understanding of design according to user interface change. International Journal of Applied Engineering Research, 12(20), 9931-9935.
11. Khosrowpoue, M., (2000). Challenges of information technology management in the 21st century. Idea Group Publishing, Hershey, USA. http://www.idea-group.com
12. Leroux, M., (2020). OEE as a financial KPI, ABB. new.abb.com/cpm/production-optimization/oee-overall-equipment-effectiveness/oee-as-afinance-kpi
13. McClellan, M., (2001). Introduction to manufacturing execution systems. MES Solution Inc., 7-10, Oregon, USA.
14. Meloni, C., Pedrielli, G., Nieuwenhuyse, I. V., Xu, J., (2020). Simulation optimization in manufacturing and services. Flexible Services and Manufacturing Journal, 32(4), 763-766. DOI: 10.1007/s10696-020-09399-z
15. PMI (2017). A Guide to the Project Management Body of Knowledge (PMBOK Guide). 6th edition, USA. bigwords.com
16. Shi, W., Cao, J., Zhang, Q., Li, Y., Xu, L., (2016). Edge computing: vision and challenges. IEEE Internet of Things Journal, 3(5), 511-521. DOI:10.1109/JIOT.2016.2579198
17. Shcumpeter, J. A., (1934). The theory of economic development. Harvard Economic Studies, 664-678.
18. Sharma, T., Payal, M., Kaur, K., Dixit, P., (2018). An introduction to data warehousing and OLAP: pros & cons. International Journal of Information Technology Insights & Transformations, 2(2), 88-96.
19. Standish (2019). The Standish Group report 83.9% of IT Projects Partially or Completely Fail. Standish Group, https://opendoor.bigroom.co/thestandish-group-report USA
20. Stapleton, J., (1997). Dynamic systems development method: the method in practice, 81, amazon.com.
21. Techopedia (2021). Definition - What does Quality in, quality out (QIQO) mean? Techopedia, https://www.techopedia.com/definition/ 28063/quality-in-quality-out-qiqo
22. Velcu, O., (2008). Drivers of ERP systems' business value. Swedish School of Economic and Business Administration. Edita Prima Ltd. Helsinik, Finland.
23. Vogt, W. P., (2005). Dictionary of statistics and methodology. Sage, DOI: 10.4135/9781412983907.n829