Analyzing the Production of the Plastic Manufacturing Through Fuzzy Analytic Hierarchy Process

This paper presents a successful implementation of six sigma methodology in manufacturing unit of small- and large-scale plastic industries by identifying the root causes and by improving the economic benefits of the firm through project selection. The present study aims to develop and improve the project selection by weight evaluation criteria and by ranking using fuzzy analytic hierarchy process (FAHP). This FAHP is based on triangular fuzzy numbers to increase the overall productivity, profitability, and quality of the organization. The study follows the application of the DMAIC technique for investigating the defects and provides a solution to reduce these defects by evaluating the best process environment which could simultaneously satisfy requirements of operational excellence. The optimum settings of the parameters during machining process for various plastic products were found using design of experiments. An empirical case study is carried out to show the effectiveness of the project. The results are checked by fuzzy linear regression control charts which would help the organization to create eco-friendly environment.