Scheduling with Testing

We study a new class of scheduling problems that capture common settings in service environments, in which one has to serve a collection of jobs that have a priori uncertain attributes (e.g., processing times and priorities) and the service provider has to decide how to dynamically allocate resource...

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Main Authors: Levi, Retsef, Magnanti, Thomas L, Shaposhnik, Yaron
Other Authors: Sloan School of Management
Format: Article
Published: Institute for Operations Research and the Management Sciences (INFORMS) 2020
Online Access:https://hdl.handle.net/1721.1/128492
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author Levi, Retsef
Magnanti, Thomas L
Shaposhnik, Yaron
author2 Sloan School of Management
author_facet Sloan School of Management
Levi, Retsef
Magnanti, Thomas L
Shaposhnik, Yaron
author_sort Levi, Retsef
collection MIT
description We study a new class of scheduling problems that capture common settings in service environments, in which one has to serve a collection of jobs that have a priori uncertain attributes (e.g., processing times and priorities) and the service provider has to decide how to dynamically allocate resources (e.g., people, equipment, and time) between testing (diagnosing) jobs to learn more about their respective uncertain attributes and processing jobs. The former could inform future decisions, but could delay the service time for other jobs, while the latter directly advances the processing of the jobs but requires making decisions under uncertainty. Through novel analysis we obtain surprising structural results of optimal policies that provide operational managerial insights, efficient optimal and near-optimal algorithms, and quantification of the value of testing. We believe that our approach will lead to further research to explore this important practical trade-off.
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spelling mit-1721.1/1284922022-09-30T22:17:31Z Scheduling with Testing Levi, Retsef Magnanti, Thomas L Shaposhnik, Yaron Sloan School of Management Massachusetts Institute of Technology. Operations Research Center We study a new class of scheduling problems that capture common settings in service environments, in which one has to serve a collection of jobs that have a priori uncertain attributes (e.g., processing times and priorities) and the service provider has to decide how to dynamically allocate resources (e.g., people, equipment, and time) between testing (diagnosing) jobs to learn more about their respective uncertain attributes and processing jobs. The former could inform future decisions, but could delay the service time for other jobs, while the latter directly advances the processing of the jobs but requires making decisions under uncertainty. Through novel analysis we obtain surprising structural results of optimal policies that provide operational managerial insights, efficient optimal and near-optimal algorithms, and quantification of the value of testing. We believe that our approach will lead to further research to explore this important practical trade-off. 2020-11-16T21:41:43Z 2020-11-16T21:41:43Z 2019-02 2015-03 2019-02-21T18:52:21Z Article http://purl.org/eprint/type/JournalArticle 0025-1909 1526-5501 https://hdl.handle.net/1721.1/128492 Levi, Retsef et al. “Scheduling with Testing.” Management Science 65, 2 (February 2019): v-vi, 459-954 © 2018 INFORMS http://dx.doi.org/10.1287/mnsc.2017.2973 Management Science Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute for Operations Research and the Management Sciences (INFORMS) Other repository
spellingShingle Levi, Retsef
Magnanti, Thomas L
Shaposhnik, Yaron
Scheduling with Testing
title Scheduling with Testing
title_full Scheduling with Testing
title_fullStr Scheduling with Testing
title_full_unstemmed Scheduling with Testing
title_short Scheduling with Testing
title_sort scheduling with testing
url https://hdl.handle.net/1721.1/128492
work_keys_str_mv AT leviretsef schedulingwithtesting
AT magnantithomasl schedulingwithtesting
AT shaposhnikyaron schedulingwithtesting