• Title of article

    Hybrid genetic algorithm for the economic-statistical design of variable sample size and sampling interval x-bar control chart

  • Author/Authors

    Mirabi ، Mohammad Group of Industrial Engineering - Meybod University , Fatemi Ghomi ، Mohammad Taghi Department of Industrial Engineering - Amirkabir University of Technology , Jolai ، Fariborz Department of Industrial Engineering - College of Engineering - University of Tehran

  • From page
    160
  • To page
    174
  • Abstract
    The design of control chart has economic consequences that pure statistical viewpoint does not consider them. The economic-statistical design of control chart, attends not only statistical properties such as average time to signal (ATS) but also economic consequences like hourly expected total cost. The x-bar control chart dominates others if the quality is measured by continuous scale. This paper has considered the economic-statistical design of variable sample size and sampling interval (VSSI) x-bar control chart with multiple assignable causes. Using three sample sizes and three sampling intervals to construct the VSSI x-bar control chart and considering possible combination of design parameters as a decision-making unit, are part of novelty of this research. The problem is formulated as multiple objective decision making (MODM). Also, one capable hybrid meta-heuristic based on genetic algorithm is developed in this research and it was compared with some approaches extracted from the literature and it is found that it can be competitive based on economic and statistics factors.
  • Keywords
    economic , statistical design , x , bar control chart , variable sample size , variable sampling interval , genetic algorithm
  • Journal title
    Journal of Industrial Engineering and Management Studies
  • Journal title
    Journal of Industrial Engineering and Management Studies
  • Record number

    2708482