Developing Operation And Analytics Model To Predict And Optimize Selective Manufacturing In Semiconductor Supply Chain
The availability of Big Data (BD) is a critical factor that semiconductor makers can leverage to increase their forecast accuracy. Manufacturers can use this data to better forecast future consumer demand in semiconductor manufacturing and make best guesses about the quantities of each product varia...
Main Author: | Salim, Muhammad Razin |
---|---|
Format: | Monograph |
Language: | English |
Published: |
Universiti Sains Malaysia
2021
|
Subjects: | |
Online Access: | http://eprints.usm.my/55967/1/Developing%20Operation%20And%20Analytics%20Model%20To%20Predict%20And%20Optimize%20Selective%20Manufacturing%20In%20Semiconductor%20Supply%20Chain.pdf |
Similar Items
-
Investigating The Performance Of Metaheuristics To Optimize The Revenue Of Semiconductor Supply Chain
by: Roslee, Muhammad Sharifuddin
Published: (2022) -
EPE 442– ADVANCED SEMICONDUCTOR MANUFACTURING TECHNOLOGY
[TEKNOLOGI PEMBUATAN SEMIKONDUKTOR TERMAJU] - JUNE 2014
by: PPKM, Pusat Pengajian Kejuruteraan Mekanikal
Published: (2014) -
EPE 442 – ADVANCED SEMICONDUCTOR MANUFACTURING TECHNOLOGY
[TEKNOLOGI PEMBUATAN SEMIKONDUKTOR TERMAJU] - JUNE 2015
by: PPKM, Pusat Pengajian Kejuruteraan Mekanikal
Published: (2015) -
Developing A Discrete-Event Simulation Model For Semiconductor Supply Chain
by: Lim, Si Ying
Published: (2022) -
Development Of Maintenance Policy Selection (MPS) Model To Select The Optimal Maintenance Policy For A System In Palm Oil Mill
by: Ding , Siew Hong
Published: (2010)