TY - JOUR ID - 16175 TI - Multi-Objective Economic-Statistical Design of VSSI-MEWMA-DWL Control Chart with Multiple Assignable Causes JO - Journal of Industrial and Systems Engineering JA - JISE LA - en SN - 1735-8272 AU - Ghanaatiyan, Raziyeh AU - Amiri, Amirhossein AU - Sogandi, Fatemeh AD - Department of Industrial Engineering, Shahed University, Tehran, Iran Y1 - 2017 PY - 2017 VL - 10 IS - special issue on Quality Control and Reliability SP - 34 EP - 58 KW - Multivariate exponentially weighted moving average control chart KW - variable sample size sampling interval KW - double warning lines KW - multi-objective economic-statistical design KW - non-dominated sorting genetic algorithm DO - N2 - This paper proposes a multi-objective model for the economic-statistical design of the variable sample size and sampling interval multivariate exponentially weighted moving average control chart by using double warning lines. The Markov chain approach is used to obtain the statistical properties. We extend the Lorenzen and Vance cost function considering multiple assignable causes and multivariate Taguchi loss approach to obtain the expected cost per time unit. The meta-heuristic non-dominated sorting genetic algorithm is used to search for the Pareto optimal solutions. A numerical example is provided to illustrate the solution procedure. Finally, sensitivity analyses for some parameters are given. UR - https://www.jise.ir/article_16175.html L1 - https://www.jise.ir/article_16175_ae4d51ad0a744b27cc20cc89b5299655.pdf ER -