KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/123456789/1

Browse

Settings

Author: search.filters.author.Atthirawong, WalailakSubject: search.filters.subject.TOPSIS

Search Results

Now showing 1 - 3 of 3
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Item,
    An integrated AHP-TOPSIS approach for bamboo product evaluation and selection in rural communities
    (2024-09-01)
    Chanpuypetch, Wirachchaya
    ;
    Niemsakul, Jirawan
    ;
    Atthirawong, Walailak
    ;
    Supeekit, Tuangyot
    This study introduces a decision support model integrating the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to select an economic tree product champion (bamboo) to benefit rural communities. An extensive literature review and expert discussions identified sixteen sub-criteria distributed across five main criteria. The study proposes four categories of bamboo products as alternatives, emphasizing community-level production capacity. The AHP determines priority weights, while TOPSIS prioritizes alternatives conducive to becoming the product champion within a community case study. The findings affirm the efficacy of Multi-Criteria Decision-Making (MCDM) in identifying a champion, with “Value addition potential,” “Domestic market demand,” and “International market (export) demand” identified as pivotal criteria. Bamboo culm-based products for energy-related applications emerged as the chosen product champion in a community case study in Thailand. This study offers practical implications for rural communities and potential investors in economic tree ventures, allowing the customization of decision criteria and alternatives for specific contexts. Socially, the focus on bamboo highlights diverse benefits along the entire supply chain, from upstream to downstream. The research pioneers a decision support model, providing insights into market opportunity analysis and supply chain network design based on the selected product champion.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Item,
    An Integrated Factor Analysis-Technique for Order Preference by Similarity to Ideal Solution for Location Decision in ASEAN Region: A Case Study of Thai Fabric Manufacturing Plant
    (2023-01-01)
    Atthirawong, Walailak
    ;
    Panprung, Wariya
    ;
    Wanitjirattikal, Puntipa
    In this paper, we propose an integrated model for selecting a suitable location for fabric manufacturing plants in the ASEAN region. In the first phase, Cambodia, Vietnam and Indonesia were determined as candidate locations for evaluation from the screening process. In this regard, key criteria influencing location decisions were derived using factor analysis of responses extracted from questionnaires. In the second phase, criterion weights were calculated using the rank of centroid (ROC) method. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was then used to prioritize three location alternatives, and sensitivity analysis was also employed to verify the stability of the method. Based on TOPSIS method, Vietnam was the preferred location, followed by Indonesia while Cambodia was not recommended. Sensitivity analysis also showed that the proposed model was valid. The findings from this study provided references for enterprises engaged in international location decision making. The results can help them better understand the decision-making process and identify key criteria that can influence location decisions internationally.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Item,
    A conceptual framework of an integrated fuzzy ANP and TOPSIS for supplier selection based on supply chain risk management
    (2014-11-18)
    Sinrat, Sittichok
    ;
    Atthirawong, Walailak
    Currently, many companies require agility in supply chains to manage disruption risks. Supplier selection is one of the most important decisions for the success of firms. It is the first step of the activities in the product realization process starts from the purchase of materials for production and then delivery products to end customers. The objective of this research is to develop a conceptual framework model for supplier evaluation based on an integrated of the fuzzy analytic network process (FANP) model and technique for order performance by similarity to ideal solution (TOPSIS), which incorporates the procurement risk, production risk, deliver risk, and environment risks. The proposed model will be later implemented in a manufacturing firm to priority weight factor and will be presented in a due course.