Resource-Constrained Multi-Project Reactive Scheduling Problem With New Project Arrival

Reactive project scheduling is an important branch of project scheduling under uncertainty. This paper proposes a resource-constrained multi-project reactive scheduling problem (RCMPRSP) with new project arrival to minimize the adjustment cost of the baseline schedule while achieving the determinist...

Full description

Bibliographic Details
Published in:IEEE Access
Main Authors: Wuliang Peng, Dongmin Yu, Jiali Lin
Format: Article
Language:English
Published: IEEE 2023-01-01
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10164087/
_version_ 1850319773258219520
author Wuliang Peng
Dongmin Yu
Jiali Lin
author_facet Wuliang Peng
Dongmin Yu
Jiali Lin
author_sort Wuliang Peng
collection DOAJ
container_title IEEE Access
description Reactive project scheduling is an important branch of project scheduling under uncertainty. This paper proposes a resource-constrained multi-project reactive scheduling problem (RCMPRSP) with new project arrival to minimize the adjustment cost of the baseline schedule while achieving the deterministic multi-project scheduling goal. Although the RCMPRSP aims to minimize the adjustment cost, it adds a constraint to ensure that the reactive schedule is one of the schedules with shortest possible make-span after new project arrival. Therefore, the make-span and cost can both be optimized during when the multi-project schedule must be reactive scheduled due to new project arrival. Therefore, this scheduling problem has two stages. In the first stage, the shortest make-span is obtained by fully rescheduling the multi-project after new project arrival. If the new project has a higher priority, the new project will be prioritized for implementation. Otherwise, the new project will be delayed. In the second stage, the multi-project is rescheduled to minimize the adjustment cost of the baseline schedule after new project arrival. The exact solution is implemented on IBM ILOG CPLEX Optimization Studio. It is found in the experiments that the CPLEX execution efficiency is acceptable for activity numbers below 80. The results of computational experiments demonstrate that the proposed method has distinct advantages over existing methods.
format Article
id doaj-art-e43721e49bbe4b619cf61b2a4f5ac7d2
institution Directory of Open Access Journals
issn 2169-3536
language English
publishDate 2023-01-01
publisher IEEE
record_format Article
spelling doaj-art-e43721e49bbe4b619cf61b2a4f5ac7d22025-08-19T23:23:00ZengIEEEIEEE Access2169-35362023-01-0111643706438210.1109/ACCESS.2023.328982210164087Resource-Constrained Multi-Project Reactive Scheduling Problem With New Project ArrivalWuliang Peng0Dongmin Yu1https://orcid.org/0009-0007-7963-3159Jiali Lin2https://orcid.org/0009-0003-1757-6364School of Economic and Management, Yantai University, Yantai, ChinaSchool of Economic and Management, Yantai University, Yantai, ChinaSchool of Economic and Management, Yantai University, Yantai, ChinaReactive project scheduling is an important branch of project scheduling under uncertainty. This paper proposes a resource-constrained multi-project reactive scheduling problem (RCMPRSP) with new project arrival to minimize the adjustment cost of the baseline schedule while achieving the deterministic multi-project scheduling goal. Although the RCMPRSP aims to minimize the adjustment cost, it adds a constraint to ensure that the reactive schedule is one of the schedules with shortest possible make-span after new project arrival. Therefore, the make-span and cost can both be optimized during when the multi-project schedule must be reactive scheduled due to new project arrival. Therefore, this scheduling problem has two stages. In the first stage, the shortest make-span is obtained by fully rescheduling the multi-project after new project arrival. If the new project has a higher priority, the new project will be prioritized for implementation. Otherwise, the new project will be delayed. In the second stage, the multi-project is rescheduled to minimize the adjustment cost of the baseline schedule after new project arrival. The exact solution is implemented on IBM ILOG CPLEX Optimization Studio. It is found in the experiments that the CPLEX execution efficiency is acceptable for activity numbers below 80. The results of computational experiments demonstrate that the proposed method has distinct advantages over existing methods.https://ieeexplore.ieee.org/document/10164087/Project schedulingreactive schedulingresource-constrained multi-project schedulingnew project arrivaluncertainty
spellingShingle Wuliang Peng
Dongmin Yu
Jiali Lin
Resource-Constrained Multi-Project Reactive Scheduling Problem With New Project Arrival
Project scheduling
reactive scheduling
resource-constrained multi-project scheduling
new project arrival
uncertainty
title Resource-Constrained Multi-Project Reactive Scheduling Problem With New Project Arrival
title_full Resource-Constrained Multi-Project Reactive Scheduling Problem With New Project Arrival
title_fullStr Resource-Constrained Multi-Project Reactive Scheduling Problem With New Project Arrival
title_full_unstemmed Resource-Constrained Multi-Project Reactive Scheduling Problem With New Project Arrival
title_short Resource-Constrained Multi-Project Reactive Scheduling Problem With New Project Arrival
title_sort resource constrained multi project reactive scheduling problem with new project arrival
topic Project scheduling
reactive scheduling
resource-constrained multi-project scheduling
new project arrival
uncertainty
url https://ieeexplore.ieee.org/document/10164087/
work_keys_str_mv AT wuliangpeng resourceconstrainedmultiprojectreactiveschedulingproblemwithnewprojectarrival
AT dongminyu resourceconstrainedmultiprojectreactiveschedulingproblemwithnewprojectarrival
AT jialilin resourceconstrainedmultiprojectreactiveschedulingproblemwithnewprojectarrival