A Differential Burn-in Policy Considering Nonhomogeneous Distribution of Spatial Defects in Semiconductor Manufacturing

被引:0
作者
Yuan, Tao [1 ]
Chen, Yuan [1 ]
Kuo, Yue [2 ]
机构
[1] Ohio Univ, Dept Ind & Syst Engn, Athens, OH 45701 USA
[2] Texas A&M Univ, Dept Chem Engn, College Stn, TX 77843 USA
来源
2020 ASIA-PACIFIC INTERNATIONAL SYMPOSIUM ON ADVANCED RELIABILITY AND MAINTENANCE MODELING (APARM) | 2020年
基金
美国国家科学基金会;
关键词
burn-in; defects; integrated circuits; optimization; semiconductor manufacturing; mixture distribution; OF-THE-ART;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper proposes a differential burn-in policy that considers the spatial nonhomogeneous distribution of defects in semiconductor manufacturing. Due to the nonhomogeneous distribution of spatial defects, devices at different locations on a semiconductor wafer may exhibit different probabilities of being defective. Unlike conventional burn-in policies, which subject all devices to the same burn-in test, the differential burn-in policy can take different actions for different devices, i.e., acceptance without burn-in, rejection without burn-in, or burn-in with a certain duration. A mixed integer nonlinear programming model is developed to find the cost-optimal decisions. A numerical example is used to demonstrate the potential application of the proposed burn-in policy.
引用
收藏
页数:4
相关论文
共 7 条
  • [1] A new analytic model for the description of the intrinsic oxide breakdown statistics of ultra-thin oxides
    Degraeve, R
    Roussel, PH
    Groeseneken, G
    Maes, HE
    [J]. MICROELECTRONICS AND RELIABILITY, 1996, 36 (11-12): : 1639 - 1642
  • [2] Hwang J. Y., 2004, SPATIAL STOCHASTIC P
  • [3] Hwang J. Y., DIFFERENTIAL B UNPUB
  • [4] A critical look at the bathtub curve
    Klutke, GA
    Kiessler, PC
    Wortman, MA
    [J]. IEEE TRANSACTIONS ON RELIABILITY, 2003, 52 (01) : 125 - 129
  • [5] KUO W, 1983, P IEEE, V71, P1257, DOI 10.1109/PROC.1983.12763
  • [6] Kuo W., 1998, Reliability, Yield, and Stress Burn-in
  • [7] The Optimal Burn-in: State of the Art and New Advances for Cost Function Formulation
    Liu, Xin
    Mazzuchi, Thomas A.
    [J]. RECENT ADVANCES IN RELIABILITY AND QUALITY IN DESIGN, 2008, : 137 - +