Optimal structure of multiple resource supply systems with storages

Gregory Levitin, Liudong Xing and Yuanshun Dai

Reliability Engineering and System Safety, 2023, vol. 238, issue C

Abstract: Production systems with storages have recently attracted considerable attention from the reliability research community. The existing models assume a single type of resource consumed for product generation. This work extends the state of the art by considering a more general and practical model, where multiple resource supply subsystems (RSS) provide different kinds of necessary resources during the production cycle. Each RSS has a storage with limited capacity to save surplus resource, which may be supplied to the production unit when the RSS fails. The product unit may operate with different productivity levels, and RSS and storages can be chosen from multiple types. We formulate a new optimization problem, which chooses the productivity level of the production unit and the types of RSS and storage for each kind of resource required for the production to maximize the expected manufacturer's profit. A new numerical algorithm is proposed to evaluate the expected profit and the genetic algorithm is implemented to solve the proposed optimization problem. A detailed case study of a chemical reactor system with four RSSs supplying two reagents, catalyzer, and cooling water is provided to demonstrate the proposed model and influences of several model parameters on the optimization solutions.

Keywords: Optimal structure; Storage; Resource supply; Productivity (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832023003460
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:238:y:2023:i:c:s0951832023003460

DOI: 10.1016/j.ress.2023.109432

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().