Integer programming models versus advanced planning business software for a multi-level mixed-model assembly line problem

DOI10.1007/s10100-019-00642-zOpenAlexW2969222005WikidataQ127340511 ScholiaQ127340511MaRDI QIDQ2201319

Tobias Kreiter, Ulrich Pferschy

Publication date: 29 September 2020

Published in: CEJOR. Central European Journal of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10100-019-00642-z

zbMATH Keywords

load balancingmixed-integer programmingmulti-level production systemmodel-mix planningSAP APO

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Uses Software

• SAP APO

Cites Work

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• Balancing and scheduling of flexible mixed model assembly lines
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• The product rate variation problem and its relevance in real world mixed-model assembly lines
• Supply chain planning in the German automotive industry
• Minimizing variation of production rates in just-in-time systems: A survey
• Solving real car sequencing problems with ant colony optimization
• Pattern based vocabulary building for effectively sequencing mixed-model assembly lines
• State-of-the-art exact and heuristic solution procedures for simple assembly line balancing
• Level Schedules for Mixed-Model Assembly Lines in Just-In-Time Production Systems
• Realizing block planning concepts in make-and-pack production using MILP modelling and SAP APO^©

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