A multi-objective optimization model for process targeting

Customers and consumers are the necessities for the survival of industries and organizations. trying to improve the process in order to increase consumer satisfaction is the most important aim of companies. the survival of an organization depends on its ability to continue the activities in compliance with the demands of customers to meet their legitimate needs. an organization is successful when it exactly knows these needs and provides the right products. the selection of the optimal process target is an important problem in production planning and quality control. for complex manufacturing systems, process or product optimization can be instrumental in achieving a significant economic advantage. to reduce costs associated with product nonconformance or excessive waste, engineers often identify the most critical quality characteristics and then use methods to obtain their ideal parameter settings. the purpose of this study is to find the optimum targeting value. a product with two quality characteristics with independent distributions is considered. to determine the market of product sales, random sample size of lot size selected. based on the quality of products, the lot placed in primary market, secondary market, reworked and scraped. to obtain the optimum targeting value, nsga-ii algorithm is used to maximize expected profit and minimize expected loss.