Fast Algorithm for High-Throughput Screening Scheduling Based on the PERT/CPM Project Management Technique

High-throughput screening systems are robotic cells that automatically scan and analyze thousands of biochemical samples and reagents in real time. The problem under consideration is to find an optimal cyclic schedule of robot moves that ensures maximum cell performance. To address this issue, we pr...

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Main Authors: Eugene Levner, Vladimir Kats, Pengyu Yan, Ada Che
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/17/3/127
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author Eugene Levner
Vladimir Kats
Pengyu Yan
Ada Che
author_facet Eugene Levner
Vladimir Kats
Pengyu Yan
Ada Che
author_sort Eugene Levner
collection DOAJ
description High-throughput screening systems are robotic cells that automatically scan and analyze thousands of biochemical samples and reagents in real time. The problem under consideration is to find an optimal cyclic schedule of robot moves that ensures maximum cell performance. To address this issue, we proposed a new efficient version of the parametric PERT/CPM project management method that works in conjunction with a combinatorial subalgorithm capable of rejecting unfeasible schedules. The main result obtained is that the new fast PERT/CPM method finds optimal robust schedules for solving large size problems in strongly polynomial time, which cannot be achieved using existing algorithms.
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spelling doaj.art-d07b803b600a487fbad9b8013f27e61d2024-03-27T13:17:27ZengMDPI AGAlgorithms1999-48932024-03-0117312710.3390/a17030127Fast Algorithm for High-Throughput Screening Scheduling Based on the PERT/CPM Project Management TechniqueEugene Levner0Vladimir Kats1Pengyu Yan2Ada Che3School of Computer Science, Holon Institute of Technology, Holon 5810201, IsraelInstitute for Industrial Mathematics, Beer-Sheva 8424902, IsraelSchool of Economic and Management, University of Electronic Science and Technology of China, Chengdu 610054, ChinaSchool of Management, Northwestern Polytechnic University, Xi’an 710072, ChinaHigh-throughput screening systems are robotic cells that automatically scan and analyze thousands of biochemical samples and reagents in real time. The problem under consideration is to find an optimal cyclic schedule of robot moves that ensures maximum cell performance. To address this issue, we proposed a new efficient version of the parametric PERT/CPM project management method that works in conjunction with a combinatorial subalgorithm capable of rejecting unfeasible schedules. The main result obtained is that the new fast PERT/CPM method finds optimal robust schedules for solving large size problems in strongly polynomial time, which cannot be achieved using existing algorithms.https://www.mdpi.com/1999-4893/17/3/127cyclic robot schedulinghigh-throughput screeningparametric PERT/CPMproject managementpolynomial time algorithm
spellingShingle Eugene Levner
Vladimir Kats
Pengyu Yan
Ada Che
Fast Algorithm for High-Throughput Screening Scheduling Based on the PERT/CPM Project Management Technique
Algorithms
cyclic robot scheduling
high-throughput screening
parametric PERT/CPM
project management
polynomial time algorithm
title Fast Algorithm for High-Throughput Screening Scheduling Based on the PERT/CPM Project Management Technique
title_full Fast Algorithm for High-Throughput Screening Scheduling Based on the PERT/CPM Project Management Technique
title_fullStr Fast Algorithm for High-Throughput Screening Scheduling Based on the PERT/CPM Project Management Technique
title_full_unstemmed Fast Algorithm for High-Throughput Screening Scheduling Based on the PERT/CPM Project Management Technique
title_short Fast Algorithm for High-Throughput Screening Scheduling Based on the PERT/CPM Project Management Technique
title_sort fast algorithm for high throughput screening scheduling based on the pert cpm project management technique
topic cyclic robot scheduling
high-throughput screening
parametric PERT/CPM
project management
polynomial time algorithm
url https://www.mdpi.com/1999-4893/17/3/127
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