Data Analysis of Retailer Orders to Improve Order Distribution
Our paper attempts to improve the order distribution for a logistics service provider who accepts order from retailers for fast moving consumer goods. Due to the fluctuations in orders on a day to day basis, the logistics provider will need the maximum number of trucks to cater for the maximum order...
Saved in:
Main Authors: | CHEONG, Michelle Lee Fong, CHOY, Junyu |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2015
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/2246 http://dx.doi.org/10.1007/978-3-319-11575-7_15 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Data Analysis of Retailer Orders to Improve Order Distribution
by: CHEONG, Michelle Lee Fong, et al.
Published: (2013) -
Effective use of Data and Decision Analytics to Improve Order Distribution in a Supply Chain
by: CHEONG, Michelle Lee Fong, et al.
Published: (2013) -
Uncovering Insights through Data Analytics for an Airport Operation to Improve Profitability
by: MA, Nang Laik, et al.
Published: (2012) -
Retailer's ordering decision under demand uncertainty and capacity constraint
by: Ganesh Abhishek
Published: (2014) -
Identification of Demand through Statistical Distribution Modeling for Improved Demand Forecasting
by: CHOY, Murphy, et al.
Published: (2012)