A Decision Model to Assess Current Methods in Capacity Planning for Semiconductor Industry
One of the main challenges of industrial engineering is being able to handle problems that happen in a factory, which consist of many random variables and constraints. Information is typically available with unforeseen uncertainties so that decision making about variables is very complicated. One su...
Main Author: | Amir, Azizi |
---|---|
Format: | Article |
Language: | English English |
Published: |
AENSI Publishing
2014
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/7835/1/fkp-2014-amir-A_Decision_Model_to_Assess.pdf http://umpir.ump.edu.my/id/eprint/7835/4/A%20Decision%20Model%20to%20Assess%20Current%20Methods%20in%20Capacity%20Planning%20for%20Semiconductor%20Industry.pdf |
Similar Items
-
Model for throughput performance measures and monitoring system in semiconductor industry
by: Ng, Poh Lay
Published: (2009) -
Relationships between Total Quality Management Critical Techniques in Automotive Industry
by: Amir, Azizi
Published: (2015) -
Design of an intelligent vision inspection system for quality control in semiconductor industry
by: Mohd. Amin, Shamsudin
Published: (2005) -
Assessment the unused capacity using time driven activity based costing in automotive manufacturing industry
by: N. F. A., Ghani, et al.
Published: (2020) -
Integration of Seasonal Autoregressive Integrated Moving Average and Bayesian Methods to Predict Production Throughput Under Random Variables
by: Amir, Azizi
Published: (2014)