A Fuzzy AHP-TOPSIS Approach for Dynamic Due Date Assignment in Machine Scheduling

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dc.authorid0000-0003-0686-1672
dc.contributor.authorDuzgit, Zehra
dc.contributor.authorOzcan, Zuhal
dc.contributor.authorYavuz, Tonguc
dc.date.accessioned2026-04-04T18:55:21Z
dc.date.available2026-04-04T18:55:21Z
dc.date.issued2025
dc.departmentİstanbul Bilgi Üniversitesi
dc.description2025 International Conference on Intelligent and Fuzzy Systems-INFUS-Annual -- JUL 29-31, 2025 -- Istanbul, TURKIYE
dc.description.abstractDynamic machine scheduling involves integrating new jobs into existing plans with minimal disruption. Quoting due dates for new jobs presents a trade-off between customer satisfaction and tardiness risk. The complexity increases in family setups, where batch processing requires additional setups. This study focuses on due date assignment for new arrivals and scheduling of both new and incomplete jobs. Four objectives are considered: minimizing total setup time, tardiness of incomplete jobs, due date of the new job, and energy consumption. To address uncertainties in processing and setup times, a hybrid fuzzy multicriteria decision-making (MCDM) approach combining Fuzzy Analytic Hierarchy Process (FAHP) and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) is proposed. FAHP captures expert judgments to weigh objectives, while FTOPSIS ranks insertion positions under uncertainty. The framework offers a computationally efficient, expert-driven alternative to optimization models, suitable for real-time dynamic scheduling.
dc.identifier.doi10.1007/978-3-031-98304-7_47
dc.identifier.doi10.1007/978-3-031-98304-7_47
dc.identifier.endpage419
dc.identifier.isbn978-3-031-98303-0
dc.identifier.isbn978-3-031-98304-7
dc.identifier.issn2367-3370
dc.identifier.issn2367-3389
dc.identifier.scopus2-s2.0-105013083791
dc.identifier.scopusqualityQ4
dc.identifier.startpage412
dc.identifier.urihttps://doi.org/10.1007/978-3-031-98304-7_47
dc.identifier.urihttps://hdl.handle.net/11411/10376
dc.identifier.volume1531
dc.identifier.wosWOS:001587127900047
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer International Publishing Ag
dc.relation.ispartofIntelligent and Fuzzy Systems, Infus 2025, Vol 4
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260402
dc.snmzKA_Scopus_20260402
dc.subjectDynamic Machine Scheduling
dc.subjectFuzzy Ahp (Fahp)
dc.subjectFuzzy Topsis (Ftopsis)
dc.titleA Fuzzy AHP-TOPSIS Approach for Dynamic Due Date Assignment in Machine Scheduling
dc.typeConference Object

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