This study considers instant decision-making needs of the automobile manufactures for resequencing vehicles before final assembly (FA). We propose a rule-based two-stage stochastic model to determine the number of spare vehicles that should be kept in the pre-assembly buffer to restore the altered sequence due to paint defects and upstream department constraints. First stage of the model decide...

Penelitian ini mengimplementasikan algoritm algoritma naive bayes dalam proses klasifikasi surat dan untuk membangun sistem yang dapat mengklasifikasi secara. Dalam penelitian jumlah sampel data corpus 1036 record, dibagi 80% training 20% testing. Sampel Naïve Bayes di implementasikan dengan menghitung nilai bobot dari class tertinggi berdasarkan testing sehingga menghasilkan probabilitas terti...

Because of the progress of the digital camera technique recently, we can directly obtain the HDRI (High Dynamic Range Image) from camera. Nevertheless, limited by display, we still transfer the HDRI to the display which can show LDRI (Low Dynamic Range Image). This technique is known as tone-mapping. The goal of tone-mapping is to compress the luminance dynamic range into low dynamic range whil...

Control Chart Patterns (CCPs) recognition is one the most important concepts in control chart application. Relating the patterns exhibited on the control chart to assignable causes is an ambiguous and vague task especially when multiple patterns co-exist. In this study, a fuzzy rule-based system is developed for X ̅ control charts to prioritize the control chart causes based on the accumulated e...

PURPOSE/OBJECTIVES To explore interactions among personal, cancer, aging, and symptom variables relative to physical function (PF) in older adult breast cancer survivors to better identify vulnerable subgroups. DESIGN Secondary analysis of the American Cancer Society Studies of Cancer Survivors II. SETTING U.S. population-based mail and telephone survey. SAMPLE 2,885 breast cancer survivo...

The classification of vehicular crashes based on their severity is crucial since not all them have the same financial and injury values. In addition, avoiding by identifying influential factors possible via accurate prediction modeling. crash analysis, time-saving models are necessary for classifying severity. Moreover, statistical incapable potential regarding influencing incorporated in model...