A literature review of criteria selection in supplier
Agus Ristono, Pratikto, Purnomo Budi Santoso, Ishardita Pambudi Tama
Abstract
Open-access reader
Agus Ristono, Pratikto, Purnomo Budi Santoso, Ishardita Pambudi Tama
Abstract
Open-access reader
Purpose: This paper proposes a new model for further research on how to select criteria in supplier selection, through a literature review and analysis of the advantages and disadvantages of previously used methods.Design/methodology/approach: The methods used to select criteria in supplier selection were extracted from various online academic databases. The weaknesses and advantages of these methods were then analyzed. Based on these findings, several opportunities for improvement are proposed for further research. Finally, criteria design methods for the selection of suppliers are proposed using statistical multi-criteria decision making (S-MCDM) methods.Findings: Direction and guidance for subsequent research to select the criteria used in supplier selection, based on the advantages and disadvantages of the decision methods used.Research limitations/implications: Limitations of this study are that it is focused on the methods of criteria design in supplier selection.Practical implications: This study can provide a research direction on the selection of criteria for supplier selection.Social implications: This study provides ongoing guidance and avenues for further research.Originality/value: New ideas for working out the developmental strategy for criteria selection are provided by statistical MCDM methods in supplier selection.
OpenAlex reports 23 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Purpose: This paper proposes a new model for further research on how to select criteria in supplier selection, through a literature review and analysis of the advantages and disadvantages of previously used methods.Design/methodology/approach: The methods used to select criteria in supplier selection were extracted from various online academic databases. The weaknesses and advantages of these methods were then analyzed. Based on these findings, several opportunities for improvement are proposed for further research. Finally, criteria design methods for the selection of suppliers are proposed using statistical multi-criteria decision making (S-MCDM) methods.Findings: Direction and guidance for subsequent research to select the criteria used in supplier selection, based on the advantages and disadvantages of the decision methods used.Research limitations/implications: Limitations of this study are that it is focused on the methods of criteria design in supplier selection.Practical implications: This study can provide a research direction on the selection of criteria for supplier selection.Social implications: This study provides ongoing guidance and avenues for further research.Originality/value: New ideas for working out the developmental strategy for criteria selection are provided by statistical MCDM methods in supplier selection.
Key concepts: Selection (genetic algorithm), Multiple-criteria decision analysis, Originality, Computer science, Management science, Supplier evaluation, Operations research, Supply chain management