A Decision Support System for Brewery Production Planning at Feldschlösschen

Markus Mickein (), Matthes Koch () and Knut Haase ()
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Markus Mickein: Institut für Verkehr, Logistik und Produktion, Universität Hamburg, Hamburg D-20148, Germany
Matthes Koch: Institut für Verkehr, Logistik und Produktion, Universität Hamburg, Hamburg D-20148, Germany
Knut Haase: Institut für Verkehr, Logistik und Produktion, Universität Hamburg, Hamburg D-20148, Germany

Interfaces, 2022, vol. 52, issue 2, 158-172

Abstract: We present a decision support system (DSS) for multilevel production planning implemented at the Swiss brewery Feldschlösschen. The software applied mathematical optimization to support supply chain executives in tactical and strategic decision making. We propose a multilevel capacitated lot-sizing problem that covers brewery-specific requirements. The DSS consists of a user interface and visualization tool embedded in a cloud-based optimization framework. The user interface provides data collection with integrated validation. Cloud-based optimization enables the use of virtual machines for effort-intensive computations. Finally, the visualization tool publishes the optimization results as a standardized report. The considered brewing system contains 13 production and 8 storage resources. It produces more than 220 finished and 100 semifinished products. The planning horizon is up to 52 weeks. We present a sample of management analyses concerning assortment strategies, investment decisions, and capacity deployment. The DSS reduces the planning effort while improving planning quality by considering the entire production system and evaluating different production scenarios. Furthermore, it reduces the total cost due to optimized production schedules and avoided ineffective investments.

Keywords: multilevel lot-sizing; brewing industry; decision support; planning software; cloud-based optimization (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:52:y:2022:i:2:p:158-172

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