This analysis develops an integrated model to optimize destination capacity, enhancing visitor experience in Surabaya, suggesting better resource allocation.
Tourism development is a strategic driver for enhancing local economies. Managing destination capacity has become essential for ensuring sustainability and high-quality visitor experiences. Surabaya, as a prominent tourism city, can benefit from improved efficiency and reduced operational costs through better capacity management. This study aims to develop an integrated destination capacity model in Surabaya by leveraging Lean Supply Chain principles and Little's Law. The goal is to identify and reduce waste in visitor flow while boosting operational efficiency. The study involves collecting data on visitor arrivals and their duration at Surabaya's tourist destinations. This data is analyzed using Little's Law (L = λW) to determine the optimal capacity that enhances visitor experience and minimizes waiting times and operational costs. Results indicate that implementing this integrated model significantly reduces visitor waiting times and enhances satisfaction. It also provides an effective strategy for managing visitor numbers during peak seasons, ensuring a more balanced flow of tourists. The model offers valuable insights for destination managers in efficiently allocating resources and managing capacity, especially in high-potential tourism cities like Surabaya. This approach not only enhances the visitor experience but also contributes to sustainable tourism management by balancing demand and operational efficiency.
No takes yet. Share an insight, caveat, or question.
Fatchurahman et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: