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- 01JKZSSXAGRF0VAXRQ97YE0ED8 classification A1.
- 01JKZSSXAGRF0VAXRQ97YE0ED8 date "2025".
- 01JKZSSXAGRF0VAXRQ97YE0ED8 language "eng".
- 01JKZSSXAGRF0VAXRQ97YE0ED8 type journalArticle.
- 01JKZSSXAGRF0VAXRQ97YE0ED8 hasPart 01JM9GRC2AX55HGY81GKN7VT0N.pdf.
- 01JKZSSXAGRF0VAXRQ97YE0ED8 subject "Business and Economics".
- 01JKZSSXAGRF0VAXRQ97YE0ED8 doi "10.1007/s10479-024-06430-6".
- 01JKZSSXAGRF0VAXRQ97YE0ED8 issn "0254-5330".
- 01JKZSSXAGRF0VAXRQ97YE0ED8 issn "1572-9338".
- 01JKZSSXAGRF0VAXRQ97YE0ED8 issue "1".
- 01JKZSSXAGRF0VAXRQ97YE0ED8 volume "345".
- 01JKZSSXAGRF0VAXRQ97YE0ED8 abstract "Manufacturing supply chains (SC) shift from traditional make-to-stock systems to make-to-order (MTO) systems in order to coordinate the production and distribution of complex and highly customized products. Despite the need for advanced scheduling approaches when coordinating such MTO-based SCs, there is little research focussing on practical settings that include variable processing speeds, sequence-dependent setup times (SDST) and time-of-use (TOU) electricity prices. However, these settings are important since they influence the energy consumption and the associated electricity costs have an impact on the decision-making process. Furthermore, there is also an increasing concern regarding green production in manufacturing such that the energy consumption cannot be ignored in decision making. In this study, we investigate a bi-objective energy-efficient permutation flow shop scheduling problem in MTO-based SC (EPFSPSC) with the conjoint objectives of minimising the cost of inventory, delivery, tardiness and electricity costs for production. In order to solve this problem, a genetic algorithm-based memetic algorithm is proposed and its effectiveness is demonstrated against a well-known benchmark approach. This research aims to assist production managers in making integrated production and distribution decisions, while simultaneously considering all associated costs and ensuring green manufacturing.".
- 01JKZSSXAGRF0VAXRQ97YE0ED8 author 29F7C2E0-F0EE-11E1-A9DE-61C894A0A6B4.
- 01JKZSSXAGRF0VAXRQ97YE0ED8 author F65A6230-F0ED-11E1-A9DE-61C894A0A6B4.
- 01JKZSSXAGRF0VAXRQ97YE0ED8 author urn:uuid:4946c851-98a0-4034-b392-c535ccabfdf6.
- 01JKZSSXAGRF0VAXRQ97YE0ED8 author urn:uuid:ae45706b-6925-4d32-9cf0-3eb3ccec7400.
- 01JKZSSXAGRF0VAXRQ97YE0ED8 author urn:uuid:b0c9f760-0770-4478-a16a-606d44cd0f06.
- 01JKZSSXAGRF0VAXRQ97YE0ED8 dateCreated "2025-02-13T14:01:04Z".
- 01JKZSSXAGRF0VAXRQ97YE0ED8 dateModified "2025-02-27T12:41:33Z".
- 01JKZSSXAGRF0VAXRQ97YE0ED8 name "Synchronizing production and delivery in flow shops with time-of-use electricity pricing".
- 01JKZSSXAGRF0VAXRQ97YE0ED8 pagination urn:uuid:d8997c6d-c289-4c36-a15b-73f9ea1e2658.
- 01JKZSSXAGRF0VAXRQ97YE0ED8 sameAs LU-01JKZSSXAGRF0VAXRQ97YE0ED8.
- 01JKZSSXAGRF0VAXRQ97YE0ED8 sourceOrganization urn:uuid:e08fdc17-7455-44b5-91c9-47b38e425ee0.
- 01JKZSSXAGRF0VAXRQ97YE0ED8 type A1.