Original Research
Enhancing brewery logistics with smart kegs: A simulation study
Submitted: 13 July 2024 | Published: 13 November 2024
About the author(s)
Philipp M. Nettesheim, International Production Engineering and Management, School of Science and Technology, University of Siegen, Kreuztal, GermanyPeter Burggräf, International Production Engineering and Management, School of Science and Technology, University of Siegen, Kreuztal, Germany
Fabian Steinberg, International Production Engineering and Management, School of Science and Technology, University of Siegen, Kreuztal, Germany
Abstract
Background: Supply chain optimisation is critical for companies in today’s globalised world. Efficient supply chains ensure product quality and freshness in the food industry. For products like beer, efficiency extends beyond transportation and includes the management of logistics containers such as returnable kegs.
Objectives: This study investigated the impact of tracking logistics data on the efficiency of container logistics in a small regional brewery. The focus was reducing fleet size, processing times and pick-up distances.
Method: A simulation of a small brewery was used to analyse the impact of tracking logistics data. The study examined how kegs equipped with real-time tracking technology could improve logistics operations.
Results: The simulation showed that tracking logistics data significantly improved logistics processes. It led to a reduction in the fleet size, turnaround times and pick-up distances for empty kegs. These improvements were attributed to better resource allocation and more efficient management of reusable containers.
Conclusion: The study showed that smart kegs could reduce logistical inefficiencies in the brewing industry. The use of smart technologies in container logistics improves operational efficiency and sustainability.
Contribution: This research provides insights into how smart technologies can transform traditional logistics models. The results suggest that smart containers can revolutionise supply chains with efficient resource allocation, real-time tracking and automation. This shift towards smart logistics aligns with the broader adoption of the Industrial Internet of Things, offering a blueprint for future innovations in supply chain management. The implications extend beyond brewing, highlighting the potential for greater sustainability and a positive reduction in environmental impact in global supply chains.
Keywords
JEL Codes
Sustainable Development Goal
Metrics
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