System Dynamic Modeling: A Case Study of a Hotel Food Supply Chain
Dublin Core
Title
System Dynamic Modeling: A Case Study of a Hotel Food Supply Chain
Subject
Hotel Food Supply Chain, Inventory, Sales, System Dynamic
Description
Supply chain management (SCM) has become an integral and indispensable part of the tourism and hospitality industry.
However, a closer examination reveals that many firms are battling inventory bottleneck as the covid pandemic spike in demand
converges, which results in unpredictability and unstable sale fluctuation. This situation forced the hotel industry to find a
balance between fulfilling demand and inventory turnover, which is impossible to predict accurately. Therefore, this research
aims to combine system dynamics modelling with a hotel food supply chain system to solve the unpredictability of supply chain
dynamics. In addition, The Causal Loop Diagram (CLD) and Stock and Flow Diagram (SFD) are used in this study to model
the complexity of the case study supply chain, with an objective model to minimize the instability of inventory turnover and to
stabilize the sales movement. This study proposes five policy scenario simulations where standard deviation (SD) and Standard
of Error (SE) are used as the decision-making parameters. The simulation result suggests that the fifth scenario provides the
highest SD (49.484) and the lowest SE (6.336). Therefore, controlling the customer response time variable to a maximum of
25 minutes and the menu unavailability variable to 15 occurrences per week will result in higher stability of the case study
inventory turnover.
However, a closer examination reveals that many firms are battling inventory bottleneck as the covid pandemic spike in demand
converges, which results in unpredictability and unstable sale fluctuation. This situation forced the hotel industry to find a
balance between fulfilling demand and inventory turnover, which is impossible to predict accurately. Therefore, this research
aims to combine system dynamics modelling with a hotel food supply chain system to solve the unpredictability of supply chain
dynamics. In addition, The Causal Loop Diagram (CLD) and Stock and Flow Diagram (SFD) are used in this study to model
the complexity of the case study supply chain, with an objective model to minimize the instability of inventory turnover and to
stabilize the sales movement. This study proposes five policy scenario simulations where standard deviation (SD) and Standard
of Error (SE) are used as the decision-making parameters. The simulation result suggests that the fifth scenario provides the
highest SD (49.484) and the lowest SE (6.336). Therefore, controlling the customer response time variable to a maximum of
25 minutes and the menu unavailability variable to 15 occurrences per week will result in higher stability of the case study
inventory turnover.
Creator
System Dynamic Modeling: A Case Study of a Hotel Food Supply Chain
Publisher
Universitas Syiah Kuala
Date
22-08-2022
Contributor
Fajar bagus W
Format
PDF
Language
Indonesia
Type
Text
Files
Collection
Citation
System Dynamic Modeling: A Case Study of a Hotel Food Supply Chain, “System Dynamic Modeling: A Case Study of a Hotel Food Supply Chain,” Repository Horizon University Indonesia, accessed June 27, 2025, https://repository.horizon.ac.id/items/show/9202.