Selection and application of building material suppliers with intuitionistic fuzzy multiple attribute decision making method

Liu, Shengyao; Lin, Jiaoqing; Xu, Xia

doi:10.3233/jifs-221437

Cited by 8 publications

(2 citation statements)

References 72 publications

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“…Implementing innovative technologies like radio frequency identification (RFID) and building information modeling (BIM) can enhance inventory control practices and improve overall efficiency in construction projects [3]. Additionally, the selection and application of building material suppliers through multiple attribute decision-making (MADM) can be optimized using advanced methodologies like intuitionistic fuzzy sets (IFSs) and Hamacher operations, ultimately improving competitiveness and customer satisfaction in the construction supply chain [4].…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Development of Building Material Sales Information System to Improve Inventory Management and Customer Service

Judijanto

2024

WSIST

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This research investigates the Evaluation and Development of Building Material Sales Information Systems (BMIS) to Enhance Inventory Management and Customer Service within the construction industry. Through a qualitative analysis approach, the study explores the challenges faced by building material suppliers, identifies the requirements for effective BMIS, and evaluates the impacts of BMIS implementation on inventory management practices and customer service. Data were collected through interviews, focus group discussions, and case studies with stakeholders representing diverse perspectives within the construction supply chain. The findings highlight the critical role of BMIS in addressing inventory management challenges, improving order accuracy, and enhancing communication with customers. The study contributes to the development of practical recommendations for building material suppliers seeking to optimize their operations and deliver superior service experiences to their clientele.

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Section: Introductionmentioning

confidence: 99%

Evaluation and Development of Building Material Sales Information System to Improve Inventory Management and Customer Service

Judijanto

2024

WSIST

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“…Therefore, finding the most suitable supplier is a complicated, multi-criteria decision-making (MCDM) issue. To date, many scholars have applied different algorithms to address the complicated MCDM problem related to supplier selection (such as [1][2][3][4]).…”

Section: Introductionmentioning

confidence: 99%

Addressing Environmental Protection Supplier Selection Issues in a Fuzzy Information Environment Using a Novel Soft Fuzzy AHP–TOPSIS Method

Chung

Chang

Yao

2023

Systems

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With the current heightened promotion of environmental awareness, issues related to environmental protection have become a critical component of economic development. The emergence of new environment-friendly materials and simple packaging, and other environmental awareness demands in recent years, have prompted manufacturers to pay more attention to planning greener production and supply processes than before. Many scholars have been urged to investigate the issues related to environmental protection and the sustainable economy of green suppliers. However, many factors needed to be considered, such as the price, cost, benefit, reputation, and quality involved in the process of green supplier selection. These factors require quantitative and qualitative analysis information, making the issue of environmental protection a multi-criteria decision making (MDCM) problem. Traditional research methods are unable to effectively and objectively handle the MCDM problem of green supplier selection due to the problem’s complexity and the method’s inclination towards biased conclusions. To resolve the complicated problem of green supplier selection, this study combined the fuzzy analytic hierarchy process (AHP), the technique for order preference by similarity to ideal solution (TOPSIS), and the 2-tuple fuzzy linguistic model (2-tuple FLM) and corrected the ranking of the possible green suppliers. The computation results were also compared with the typical TOPSIS and AHP–TOPSIS methods. Through the numerical verification of the actual case for the green supplier, the test results suggested that the proposed method could perform an objective evaluation of expert-provided information while also retaining all their valuable insights.

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Multiple attribute decision making based on score function of q-connection numbers, q-CNPWG aggregation operator of q-connection numbers, and set pair analysis theory in the environments of q-rung orthopair fuzzy numbers

Kumar,

Chen

2024

Information Sciences

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Selection and application of building material suppliers with intuitionistic fuzzy multiple attribute decision making method

Cited by 8 publications

References 72 publications

Evaluation and Development of Building Material Sales Information System to Improve Inventory Management and Customer Service

Evaluation and Development of Building Material Sales Information System to Improve Inventory Management and Customer Service

Addressing Environmental Protection Supplier Selection Issues in a Fuzzy Information Environment Using a Novel Soft Fuzzy AHP–TOPSIS Method

Multiple attribute decision making based on score function of q-connection numbers, q-CNPWG aggregation operator of q-connection numbers, and set pair analysis theory in the environments of q-rung orthopair fuzzy numbers

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