KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/kmitl/1

Browse

Search Results

Now showing 1 - 2 of 2
  • Some of the metrics are blocked by your 
    Item type:Publication,
    Optimizing maintenance responsibility distribution in real estate management: A complexity-driven approach for sustainable efficiency
    (2024-03-01)
    Aungkulanon, Pasura
    ;
    Hirunwat, Anucha
    ;
    Atthirawong, Walailak
    ;
    Phimsing, Kulanid
    ;
    Chanhom, Sirintra
    Efficient route management is critical for optimizing maintenance activities in real estate management. This study delves into the intricate task of allocating maintenance duties among building surveyors, a pivotal concern for property management firms. The primary goal of route planning is to enhance operational efficiency by minimizing travel time. To achieve this, the study explores three distinct algorithms: Saving, Nearest Neighbor, and an Evolutionary Algorithm (EA) customized with Dual Response Surface Optimization (DRSO). The integration of DRSO and EA enhances adaptability, allowing for dynamic responses to changes and improved allocation of maintenance tasks. Practical limitations, such as time and capacity, are considered through a case study involving a well-established building management organization. Results indicate that the Nearest Neighbor Algorithm generates 16–18 routes, the Saving Algorithm produces 18 routes, and the DRSO-driven EA also yields 18 routes. Significantly, the DRSO-driven EA consistently outperforms traditional methods, achieving a remarkable 17.7% reduction in route distance and an 18.8% reduction in journey time. In specific scenarios with 50 and 80 locations in Northeast and Central Bangkok, the DRSO-driven EA demonstrates practicality and efficacy. The algorithm's ability to address real-world challenges is underscored by these examples, showcasing its potential for broader implementation in real estate management. This study contributes significantly to the optimization of maintenance routes, presenting a clear roadmap for enhancing operational efficiency and customer satisfaction. Furthermore, it addresses the challenges posed by capitalism's growth constraints, offering insights for the adoption of sustainable economic practices in management, economics, and engineering.
  • Some of the metrics are blocked by your 
    Item type:Publication,
    Determinates of foreign real estate investment within Thailand's special autonomous systems (SAS) of Bangkok and Pattaya city
    (2015-01-01)
    Teeranantawanich, Natthapat
    ;
    Fongsuwan, Wanno
    Thailand's real estate laws can at times be difficult to navigate with Bangkok and Battaya's special legal status for foreign real estate investment even more so. These special autonomous systems, however thrive with both commercial and residential real estate transactions with the Board of Investment and Industrial Estates playing a key role in Thailand's growth. In 2015, Battaya alone is projected to have 10 million international and domestic visitors contributing $3.26 billion to the local economy. Japan currently leads international investing but with southeast nation economic integration in 2015, other community members will take a bigger role. As such, the researchers undertook a study to explore the various factors affecting the reasons for foreign real estate holdings. These included government policy, the economy and investment factors and social and environmental conditions. Quantitative survey input came from 301 parents of international school students, expat groups and condominium owners. Qualitative data was secured from 10 senior executives involved in real estate transactions as well as individuals from Thailand's Board of Investment promotion agency. The study revealed that due to limited ability of foreigners to hold property, other mechanisms such as nominees, Thai nationals and wives were commonly used. Additionally, foreigners were sensitive to the 6.3% land transfer tax which they considered quite high. Overall government policy, internal economic factors and the environment (flooding, etc.) and infrastructure (sea and airports, roads, power, etc.) played key roles in foreign investment decisions.