A queueing model for customer rescheduling and no-shows in service systems
We study an M/M/1/K queue where customers can reschedule their appointments. Rescheduled customers show up with higher probabilities, incurring lower no-show costs, but rescheduling also frees up slots that may not be filled later, leading to wasted service capacity and lower throughput. The system...
Saved in:
Main Authors: | , , , |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2021
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/lkcsb_research/6961 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
id |
sg-smu-ink.lkcsb_research-7960 |
---|---|
record_format |
dspace |
spelling |
sg-smu-ink.lkcsb_research-79602022-03-04T03:42:03Z A queueing model for customer rescheduling and no-shows in service systems TANG, Yue JIANG, Houyuan XIE, Jingui ZHENG, Zhichao We study an M/M/1/K queue where customers can reschedule their appointments. Rescheduled customers show up with higher probabilities, incurring lower no-show costs, but rescheduling also frees up slots that may not be filled later, leading to wasted service capacity and lower throughput. The system manager aims to minimize the long-run average cost by controlling rescheduling policies. We derive conditions under which rescheduling should be allowed for different scenarios depending on whether customers can reschedule only once or multiple times. 2021-11-01T07:00:00Z text https://ink.library.smu.edu.sg/lkcsb_research/6961 info:doi/10.1016/j.orl.2021.09.002 Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Rescheduling No-show Appointment Queue Markov decision process Business Administration, Management, and Operations Management Information Systems 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 |
Rescheduling No-show Appointment Queue Markov decision process Business Administration, Management, and Operations Management Information Systems Operations and Supply Chain Management |
spellingShingle |
Rescheduling No-show Appointment Queue Markov decision process Business Administration, Management, and Operations Management Information Systems Operations and Supply Chain Management TANG, Yue JIANG, Houyuan XIE, Jingui ZHENG, Zhichao A queueing model for customer rescheduling and no-shows in service systems |
description |
We study an M/M/1/K queue where customers can reschedule their appointments. Rescheduled customers show up with higher probabilities, incurring lower no-show costs, but rescheduling also frees up slots that may not be filled later, leading to wasted service capacity and lower throughput. The system manager aims to minimize the long-run average cost by controlling rescheduling policies. We derive conditions under which rescheduling should be allowed for different scenarios depending on whether customers can reschedule only once or multiple times. |
format |
text |
author |
TANG, Yue JIANG, Houyuan XIE, Jingui ZHENG, Zhichao |
author_facet |
TANG, Yue JIANG, Houyuan XIE, Jingui ZHENG, Zhichao |
author_sort |
TANG, Yue |
title |
A queueing model for customer rescheduling and no-shows in service systems |
title_short |
A queueing model for customer rescheduling and no-shows in service systems |
title_full |
A queueing model for customer rescheduling and no-shows in service systems |
title_fullStr |
A queueing model for customer rescheduling and no-shows in service systems |
title_full_unstemmed |
A queueing model for customer rescheduling and no-shows in service systems |
title_sort |
queueing model for customer rescheduling and no-shows in service systems |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2021 |
url |
https://ink.library.smu.edu.sg/lkcsb_research/6961 |
_version_ |
1770576144454647808 |