A Classical Method of Optimizing Manufacturing Systems Using a Number of Industrial Engineering Techniques
Productivity optimization of a company can significantly increase the company’s output and productivity which can be in the form of corrective actions of ineffective activities, process simplification, and reduction of variations, responsiveness, and reduction of set-up-time which are all under the classification of waste within the manufacturing environment. Deriving a means to eliminate a number of these issues has a key importance for manufacturing organization. This paper focused on a number of industrial engineering techniques which include a cause and effect diagram, to identify and optimize the method or systems being used. Based on our results, it shows that there are a number of variations within the production processes that can significantly disrupt the expected output.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1132465Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 919
 Qiang, Z., Ling, S., Yu, Y., & Yongzhi, W. (2012). Simulation optimization for multi-type and batch production system based on Witness. Computer Engineering and Applications, 48(21), 209-216.
 Lijun Song, Shanying Jin, Pengfei Tang. (2016). Simulation and Optimization of Logistics Distribution for an Engine Production Line. Journal of Industrial Engineering and Management JIEM, 2016 – 9(1): 59-72
 Perspectives on Labour and Income, Spring 1993, Vol. 5, No. 1 (Statistics Canada, Catalogue 75-001E)
 Pisuchpen, R. and Chansangar, W. (2014). Modifying Production Line for Productivity Improvement: A Case Study of Vision Lens Factory. Songklanakarin Journal of Science and Technology, 36(3), 345-357.
 Pycraft, M., Singh, H., Philela, K., Slack, N., Chambers, S. and Johnston, R. 2012. Operations management: Global and South African perspectives, 2nd edition. Cape Town: Pearson Education.
 Lan S., Wang, X. and Ma, L. (2009). Optimization of Assembly Line Based on Work Study. Industrial Engineering and Engineering Management. 2009. IE&EM '09. 16th International Conference, 4, 813-816.
 L Bon, A. T. and Daim, D. (2010). Time Motion Study in Determination of Time Standard in Manpower Process. 3rd Engineering Conference on Advancement in Mechanical and Manufacturing for Sustainable Environment, April 14-16, 2010, Kuching, Sarawak, Malaysia.
 L. Shuang, W. Xue, M. Lixin, 2009. Optimization of Assembly Line Based on Work Study, IEEE
 Stevenson, W.J. 2012. Operations management: Theory and practice. 11th edition, Global edition. New York: McGraw-Hill.