Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/112181
Title: An Imitation and Heuristic Method for Scheduling with Subcontracted Resources
Authors: Antonova, A.
Aksyonov, K.
Aksyonova, O.
Issue Date: 2021
Publisher: MDPI
MDPI AG
Citation: Antonova A. An Imitation and Heuristic Method for Scheduling with Subcontracted Resources / A. Antonova, K. Aksyonov, O. Aksyonova // Mathematics. — 2021. — Vol. 9. — Iss. 17. — 2098.
Abstract: A scheduling problem with subcontracted resources is widely spread and is associated with the distribution of limited renewable and non-renewable resources, both own and subcontracted ones based on the work’s due dates and the earliest start time. Scheduling’s goal is to reduce the cost of the subcontracted resources. In the paper, application of a few scheduling methods based on scheduling theory and the optimization algorithm is considered; limitations of these methods’ application are highlighted. It is shown that the use of simulation modeling with heuristic rules for allocation of the renewable resources makes it possible to overcome the identified limitations. A new imitation and heuristic method for solving the assigned scheduling problem is proposed. The comparison of the new method with existing ones in terms of the quality of the found solution and performance of the methods is carried out. A case study is presented that allowed a four-fold reduction of the overall subcontracted resources cost in a real project portfolio. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords: HEURISTIC METHODS
OPERATIONS RESEARCH
RENEWABLE AND NON-RENEWABLE RESOURCES
SCHEDULING ON PARALLEL MACHINES
SCHEDULING THEORY
SUBCONTRACTED RESOURCES
URI: http://hdl.handle.net/10995/112181
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85114219258
PURE ID: 23689587
ISSN: 2227-7390
metadata.dc.description.sponsorship: Funding: This research was funded by Act 211 Government of the Russian Federation, contract no. 02.A03.21.0006.
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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