Sinchai, Ananta

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Sinchai, Ananta
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ananta.sin@kmitl.ac.th

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    Item type:Publication,
    Correction: Sustainable urban waste collection using a hybrid heuristic–genetic approach: a Bangkok case study (Frontiers in Sustainability, (2026), 6, (1716538), 10.3389/frsus.2025.1716538)
    (2026-01-01)
    Hamontree, Chaowalit
    ;
    Koiwanit, Jarotwan
    ;
    Sinchai, Ananta
    Waste Management An incorrect number was provided for School of Engineering, King Mongkut's Institute of Technology Ladkrabang. The correct number is 2565-02-01-074. The original version of this article has been updated.
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    Item type:Publication,
    Short-term gains, long-term losses: exploring food waste practices of chefs in professional kitchens of casual dining restaurants through the lens of time discounting and habit formation
    (2026-09-01)
    Sinchai, Ananta
    ;
    Koiwanit, Jarotwan
    ;
    Chatmarathong, Awirut
    ;
    Filimonau, Viachaslau
    Food waste in professional kitchens is a significant challenge, but the cognitive and behavioural drivers of chefs' food waste practices remain under-explored. Drawing on the concept of time discounting and habit theory, this study investigates how chefs navigate immediate operational priorities of busy kitchens and how routinised food waste behaviour is formed and maintained. Semi-structured interviews with chefs in Thailand (n = 20) identify a pattern of short-term incentives i.e., speed, aesthetics, and perceived guest satisfaction, reinforcing food waste habits among chefs. Findings reveal that conventional, temporally distant interventions designed to encourage resourceful behaviour, such as monthly food cost reports, fail to disrupt habitual, present-biased wasteful behaviour. Theoretically, the study offers a novel conceptual framework for understanding food waste generation by chefs as a habit loop reinforced by time-discounted decision-making. Practically, it advocates for ‘present-focussed’ interventions, such as real-time feedback on leftover repurposing, to facilitate food waste reduction in professional kitchens.
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    Item type:Publication,
    Sustainable urban waste collection using a hybrid heuristic–genetic approach: a Bangkok case study
    (2026-01-01)
    Hamontree, Chaowalit
    ;
    Koiwanit, Jarotwan
    ;
    Sinchai, Ananta
    Urban waste collection is a critical component of sustainable city development, directly influencing emissions reduction, resource efficiency, and public health. This study develops a hybrid optimization framework combining a Nearest Neighbor Heuristic with a Genetic Algorithm (GA) to optimize municipal waste collection routes in Bangkok, addressing the Vehicle Routing Problem (VRP) under real-world constraints such as vehicle capacity, time windows, and traffic conditions. The optimized algorithm reduced weekly travel distance by 8.51% and increased average vehicle utilization by 7.78%, translating into projected five-year economic benefits of over 4.7 million Baht and annual GHG emission reduction equivalent to planting approximately 1,750 trees. These findings demonstrate how algorithmic optimization can advance SDG 11 (sustainable cities and communities) and SDG 12 (responsible consumption and production) by aligning technical innovation with environmental and social outcomes. Beyond Bangkok, the framework is scalable to other rapidly urbanizing contexts, offering policymakers a data-driven pathway toward inclusive, low-carbon, and effective waste management systems.