Nguyễn Ngọc Hiền

Abstract: Not only is the data analysis important in operations excellence, but the engineering mindset and thinking play a crucial role to put an end on the problem as well as maximize the effectiveness and efficiency of concerned processes. The following example is a typical design-engineering problem in shoes manufacturing processes; specifically, EVA polishing process, which existed for years and caused a significant loss on quality and financial measures of the company.

Before any improvements were made, the byproducts in form of dust produced by the process of grinding the surface of EVA sheets were released to the environment partially through the incomplete dust processing system. The emission of EVA particles were really detrimental to not only environment but health and safety, and unconsciously quality of silk printing products due to dirty. The solution was to reengineer the dust processing system as illustrated as below:

Apparently, the EVA dust particles are never emitted from the closed-loop refined processing system, which protects environment, stops harming quality and healthy problems.

In order to get approval from the top management of the company for the implementation of the proposed solution, the engineering and financial perspectives are required to present how the ratio of benefit and cost would be.

Essentially, estimation of benefits and costs of any improvement projects are a very fundamental success factor. The estimation is very informative to help you reconsider whether or not the project is worth implementing as well as a pervasive evidence to convince the executive decision makers to execute the project if it is feasible and promising. For this case of “Re-engineering”, the analysis of benefits and costs of the project is presented as below:

It can be clearly seen that the one-by-one comparison of the before and after refinement of the EVA dust processing system in terms of benefits and costs are visualized to enhance the pervasiveness of the project potentials.