Hasil Pencarian  ::  Simpan CSV :: Kembali

Abstrak :
Recently, a varied L ranked set sampling (VLRSS) scheme has been introduced in the literature for estimating the population mean. The VLRSS scheme is a cost-efficient alternative to the classical ranked-set sampling (RSS) and median RSS (MRSS) schemes. In this paper, we construct a new cumulative sum (CUSUM) control chart for efficiently monitoring the process mean using VLRSS, named the CUSUM-VLRSS chart. The CUSUM-VLRSS chart encompasses the existing CUSUM charts based on RSS and MRSS schemes, named the CUSUM-RSS and CUSUM-MRSS charts. We use extensive Monte Carlo simulations to compute the run length characteristics of the proposed CUSUM chart. It is shown that the CUSUM-VLRSS chart is able to perform uniformly better than the CUSUM-RSS and CUSUM-MRSS charts when detecting different kinds of shift in the process mean. A similar trend is observed when the proposed CUSUM chart is constructed under imperfect rankings. A real data-set is also used to explain the implementation of the CUSUM-VLRSS chart.

Abstrak :
ABSTRACT
The control chart is one of the important industrial tools used for monitoring the manufacturing process. The performance of control chart may enhance when some additional information about variable under study is available. In this article, a new two parametric ratio estimator is introduced to design the exponentially weighted moving average control chart. The proposed control chart is more efficient than the existing control chart in detecting small and moderate shifts in the process mean at Phase II. The application of proposed control chart in the industry is given with the aid of a real example.