dc.contributor.author | Yuce, B | |
dc.contributor.author | Mastrocinque, E | |
dc.date.accessioned | 2022-06-23T14:34:53Z | |
dc.date.issued | 2020-01-01 | |
dc.date.updated | 2022-06-23T13:33:22Z | |
dc.description.abstract | Supply chain network design is one of the most important strategic issues in operations management. The main objective in designing a supply chain is to keep the cost as low as possible. However, the modelling of a supply chain requires more than single-objective such as lead-time minimization, service level maximization, and environmental impact maximization among others. Usually these objectives may cause conflicts such as increasing the service level usually causes a growth in costs. Therefore, the aim should be to find trade-off solutions to satisfy the conflicting objectives. The aim of this chapter is to propose a new method based on a hybrid version of the Bees Algorithm with Slope Angle Computation and Hill Climbing Algorithm to solve a multi-objective supply chain network design problem. A real case from the literature has been selected and solved in order to show the potentiality of the proposed method in solving a large scale combinatorial problem. | en_GB |
dc.format.extent | 266-283 | |
dc.identifier.citation | In: Supply Chain and Logistics Management: Concepts, Methodologies, Tools, and Applications, pp. 266-283 | en_GB |
dc.identifier.doi | https://doi.org/10.4018/978-1-7998-0945-6.ch013 | |
dc.identifier.uri | http://hdl.handle.net/10871/130036 | |
dc.identifier | ORCID: 0000-0002-9937-1535 (Yuce, Baris) | |
dc.language.iso | en | en_GB |
dc.publisher | IGI Global | en_GB |
dc.rights | © 2020 IGI Global | en_GB |
dc.title | Supply chain network design using an enhanced hybrid swarm-based optimization algorithm | en_GB |
dc.type | Book chapter | en_GB |
dc.date.available | 2022-06-23T14:34:53Z | |
dc.identifier.isbn | 9781799809456 | |
dc.description | This is the final version. Available from IGI Global via the DOI in this record. | en_GB |
dc.relation.ispartof | Supply Chain and Logistics Management | |
dc.rights.uri | http://www.rioxx.net/licenses/all-rights-reserved | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2020-01-01 | |
rioxxterms.type | Book chapter | en_GB |
refterms.dateFCD | 2022-06-23T14:31:04Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2022-06-23T14:34:57Z | |
refterms.dateFirstOnline | 2020-01-01 | |