TY - JOUR ID - 72399 TI - Multi-objective Economic-statistical Design of Cumulative Count of Conforming Control Chart JO - International Journal of Engineering JA - IJE LA - en SN - 1025-2495 AU - Sherbaf Moghaddam, Anahita AD - Industrial Engineering, Shahed University Y1 - 2014 PY - 2014 VL - 27 IS - 10 SP - 1591 EP - 1600 KW - Statistical process control KW - Cumulative Count of Conforming Charts KW - high KW - Quality Processes KW - multi KW - Objective Economic KW - Statistical design KW - NSGA KW - II Algorithm DO - N2 - Cumulative Count of Conforming (CCC) charts are utilized for monitoring the quality characteristics in high-quality processes. Executive cost of control charts is a motivation for researchers to design them with the lowest cost. Usually in most researches, only one objective named cost function is minimized subject to statistical constraints, which is not effective method for economic-statistical design of control charts. In this paper, a multi-objective model for the economic-statistical design of the CCC control chart is developed. Then, multi-objective evolutionary algorithm (NSGA-II) for obtaining the Pareto optimal solution of the model is proposed. A numerical example is applied to illustrate the effectiveness of the proposed model. This model leads to lower cost and smaller probability of Type I and Type II errors, compared with economic model. In addition, a sensitivity analysis is done to investigate the effect of input parameters on the best solutions of the proposed model. UR - https://www.ije.ir/article_72399.html L1 - https://www.ije.ir/article_72399_5914c2391226ab958dd32d0fd2788f71.pdf ER -