Model-based production cost estimation to support bid processes: an automotive case study

DOI10.1007/s10100-019-00608-1OpenAlexW2912446190WikidataQ128428020 ScholiaQ128428020MaRDI QIDQ2201297

Marc Reimann, Peter Greistorfer, Andrea Borenich

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/s10100-019-00608-1

zbMATH Keywords

uncertaintyrisk analysisautomotive industryproduction modelingcost estimating

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Uses Software

• CPLEX

Cites Work

• Unnamed Item
• A robust optimization model for agile and build-to-order supply chain planning under uncertainties
• Models for robust tactical planning in multi-stage production systems with uncertain demands
• Stochastic programming with integer variables
• Supply chain planning in the German automotive industry
• Modified production switching heuristics for aggregate production planning
• Integrated production planning and order acceptance under uncertainty: a robust optimization approach
• A real options approach to labour shifts planning under different service level targets
• Coherent Measures of Risk
• Derivation of a Linear Decision Rule for Production and Employment
• Aggregate production planning in the automotive industry with special consideration of workforce flexibility

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