Adjusted Network Flow for the Shelf Space Allocation Problem
In this paper, we study shelf space allocation optimization which is important to retail operations management. Our approach is to formulate a model that is applicable to operational realities and to seek solutions with realistic test data. This model is linked to the multidimensional knapsack probl...
Saved in:
Main Authors: | , , , |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2002
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/lkcsb_research/2074 https://doi.ieeecomputersociety.org/10.1109/TAI.2002.1180808 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
id |
sg-smu-ink.lkcsb_research-3073 |
---|---|
record_format |
dspace |
spelling |
sg-smu-ink.lkcsb_research-30732010-09-23T12:30:04Z Adjusted Network Flow for the Shelf Space Allocation Problem LIM, Andrew RODRIGUES, Brian XIAO, Fei ZHANG, Xingwen In this paper, we study shelf space allocation optimization which is important to retail operations management. Our approach is to formulate a model that is applicable to operational realities and to seek solutions with realistic test data. This model is linked to the multidimensional knapsack problem. We first solve a simplified version of the problem to achieve maximum profit by transforming it into a network flow problem. Then, with simple adaptations we solve the general shelf space allocation problem with the help of the network flow model. The approach is simple and direct while experimental results improve on recentfindings significantly and are very close to the optimal. 2002-11-04T08:00:00Z text https://ink.library.smu.edu.sg/lkcsb_research/2074 info:doi/10.1109/TAI.2002.1180808 https://doi.ieeecomputersociety.org/10.1109/TAI.2002.1180808 Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Operations and Supply Chain Management |
institution |
Singapore Management University |
building |
SMU Libraries |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
SMU Libraries |
collection |
InK@SMU |
language |
English |
topic |
Operations and Supply Chain Management |
spellingShingle |
Operations and Supply Chain Management LIM, Andrew RODRIGUES, Brian XIAO, Fei ZHANG, Xingwen Adjusted Network Flow for the Shelf Space Allocation Problem |
description |
In this paper, we study shelf space allocation optimization which is important to retail operations management. Our approach is to formulate a model that is applicable to operational realities and to seek solutions with realistic test data. This model is linked to the multidimensional knapsack problem. We first solve a simplified version of the problem to achieve maximum profit by transforming it into a network flow problem. Then, with simple adaptations we solve the general shelf space allocation problem with the help of the network flow model. The approach is simple and direct while experimental results improve on recentfindings significantly and are very close to the optimal. |
format |
text |
author |
LIM, Andrew RODRIGUES, Brian XIAO, Fei ZHANG, Xingwen |
author_facet |
LIM, Andrew RODRIGUES, Brian XIAO, Fei ZHANG, Xingwen |
author_sort |
LIM, Andrew |
title |
Adjusted Network Flow for the Shelf Space Allocation Problem |
title_short |
Adjusted Network Flow for the Shelf Space Allocation Problem |
title_full |
Adjusted Network Flow for the Shelf Space Allocation Problem |
title_fullStr |
Adjusted Network Flow for the Shelf Space Allocation Problem |
title_full_unstemmed |
Adjusted Network Flow for the Shelf Space Allocation Problem |
title_sort |
adjusted network flow for the shelf space allocation problem |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2002 |
url |
https://ink.library.smu.edu.sg/lkcsb_research/2074 https://doi.ieeecomputersociety.org/10.1109/TAI.2002.1180808 |
_version_ |
1770570122960830464 |