Productivity Analysis in Assembly Department Using Objective Matrix (Omax) Method in Labor Intensive Manufacturing

Authors

  • Sakti Aji Lesmana Mercu Buana University
  • Didi Junaedi Mercu Buana University
  • Novera Elisa Triana Mercu Buana University

DOI:

https://doi.org/10.31695/IJERAT.2020.3619

Keywords:

Productivity, Performance, Objective Matrix (OMAX), Productivity Index

Abstract

Productivity has become a holistic target in any manufacturing company. Performance evaluation for production areas in manufacturing should be measure by productivity index that already determined in company goals and targets. Currently, the productivity index has been measured by simple calculation, which only considering production result, manpower and working hours. Those calculations still cannot meet management desire about real productivity itself.  Management needs productivity also considering some other performance, those are including quality rate, rework rate, manpower, working hour, production result, energy usage, and compliance with the schedule as input. This desire was mentioned in a company mission to be world-class manufacturing. A well-known method as an objective matrix would be used for measuring the productivity index in the company. There would be a different rank of productivity after considering all of the mentioned items when compared with the currently used method. Production could be bigger than other month but on the other hand quality rate and rework, the rate was dropped. Than rank for productivity index in this company would be more complex and could be used as a raw model of productivity measurement internally or externally.

Author Biography

  • Didi Junaedi, Mercu Buana University

    Industrial Engineering

References

Ramadhani, Y. (2011). Analisis efisiensi, skala dan elastisitas produksi dengan pendekatan cobb-douglas dan regresi berganda. Jurnal Teknologi 4(1): 53-61.

Heizer J, Render B. (2006). Operations Management, Manajemen Operasi, Jakarta, Salemba Empat

Sumanth, D. J. (1984). Productivity engineering and management: Productivity measurement, evaluation, planning, and improvement in manufacturing and service organizations. McGraw-Hill College.

Allender, H. D. (1997). Objectives matrix provides information balance. Water Engineering & Management, 144(9), 30-33

Dulange, S. R., Pundir, A. K., & Ganapathy, L. (2014). Quantification of Factors Influencing Productivity using AHP Technique: An Approach towards Productivity Improvement. Journal of Business Management & Social Sciences Research (JBM&SSR), 3(3), 55-71.

Mihaiu, D. M., Opreana, A., & Cristescu, M. P. (2010). Efficiency, effectiveness and performance of the public sector. Romanian Journal of Economic Forecasting, 4(1), 132-147.

Roghanian, P., Rasli, A., & Gheysari, H. (2012). Productivity through effectiveness and efficiency in the banking industry.Procedia-Social and Behavioral Sciences, 40, 550-556.

Balkan, D. (2011). Enterprise productivity measurement in services by OMAX (Objective Matrix) method and an application with Turkish emergency service. In Reser Conference, Productivity of Services Next Gen–Beyond Output/Input. Hamburg (pp. 1-13)

Anis, A., & Islam, R. (2015). The application of analytic hierarchy process in higher-learning institutions: a literature review. Journal for International Business and Entrepreneurship Development, 8(2), 166-182

Pharne, M. P., &Kande, G. N. (2016).Application of Benchmarking Method in the Construction Project to Improve Productivity. International Journal of Technical Research and Applications, 4(3), 394-398.

Downloads

Published

2020-07-20

Issue

Section

Articles

How to Cite

Productivity Analysis in Assembly Department Using Objective Matrix (Omax) Method in Labor Intensive Manufacturing. (2020). International Journal of Engineering Research and Advanced Technology (ijerat) (E-ISSN 2454-6135) , 6(7), 1-9. https://doi.org/10.31695/IJERAT.2020.3619