Yüksek LisansAçık Erişim

Eş zamanlı parti büyüklüğü, çizelgeleme, fazla mesai, vardiya, kurulum zamanı ve geç üretim kararları veren karma tam sayılı programlama modeli

2018
0 görüntülenme
0 i̇ndirme
Danışman: Yrd. Doç. Dr. Görkem Yılmaz

Özet (EN)

Studies focusing on simultaneous lot sizing and scheduling problems, discard the effect of workforce constraints and tactical level decisions such as overtime and selected number of shifts. Generally, in production planning, workforce and shift decisions are given first and respect to these decisions, the scheduling and lot sizing decisions are given. This study focuses on the extensions of the simultaneous lot sizing and scheduling MIP models in literature by the overtime, shift decisions and available workforce constraints including production environments of parallel non identical sets of machines using multiple sets of non-identical tools attached and sequence dependent/independent setups between the tools occur. Developed MIP models are based on the Capacitated Lot Sizing Problem with Sequence Dependent Setups (CLSD) models. In addition to the CLSD models sequence independent versions Capacitated Lot Sizing Problem with Sequence Independent Setups (CLSI) are also presented. Later a MIP based decomposition technique will be presented to solve industry size problems. The developed models are tested in a TV manufacturer in Europe, Vestel Electronics's production planning of the plastic injection plant. The results show that the developed heuristics solve the large size problems in a reasonable time. Key words: Overtime and Shift Planning, Inventory, Backlogging and Production Decisions, Mixed Integer Linear Programming, Sequence Dependent and Independent Setup Time, Continuous Time Scheduling, Operation Planning, Simultaneously Lot Sizing and Scheduling, Tool and Machine Interaction

Yazar

Dr. Cevdet Utku Şafak

Bu Yayına Nasıl Atıf Yapılır

Cevdet Utku Şafak (Master Thesis). Eş zamanlı parti büyüklüğü, çizelgeleme, fazla mesai, vardiya, kurulum zamanı ve geç üretim kararları veren karma tam sayılı programlama modeli, 2018, Özyegin University.

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