Title: Buffer size evaluation in a bottle plant production system: a comparison between different solving methods

Authors: Ilenia Zennaro; Serena Finco; Riccardo Aldrighetti; Daria Battini

Addresses: Department of Management and Engineering, University of Padua, Stradella San Nicola 3, 36100, Vicenza, Italy ' Department of Management and Engineering, University of Padua, Stradella San Nicola 3, 36100, Vicenza, Italy ' Department of Management and Engineering, University of Padua, Stradella San Nicola 3, 36100, Vicenza, Italy ' Department of Management and Engineering, University of Padua, Stradella San Nicola 3, 36100, Vicenza, Italy

Abstract: The buffer allocation problem (BAP) is a crucial research issue in designing manufacturing systems. Several methods have been proposed including simulation modelling, exact and heuristics approaches. Simulation is usually time-consuming and requires expensive software; analytical approaches necessitate specific knowledge that is uncommon in companies, especially among small-medium enterprises (SMEs). Thus, practitioners generally develop empirical methods based on their experience, to get buffers size with easy-to-use procedures. This paper proposes a comparison between three BAP approaches: an empirical method, a simulation method, and an experimental formula, all applied in a real case study. Simulation approach leads to a great optimal solution, but it requires to buy the software and time to build the model. The empirical method requires a shorter time but the buffer size results in severe additional costs. Finally, the experimental formula proves to be a good trade-off between the obtained buffer size and the efforts addressed its application.

Keywords: buffer allocation problem; BAP; discrete event simulation; automatic production lines; experimental models; real case application.

DOI: 10.1504/IJSOM.2022.124990

International Journal of Services and Operations Management, 2022 Vol.42 No.4, pp.500 - 524

Received: 09 Mar 2020
Accepted: 04 Jun 2020
Published online: 22 Aug 2022 *

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