A supplier selection method for prefabricated components
What is it about?
Selecting suppliers for prefabricated components (PCs) involves a complex decision-making process, frequently relying on ambiguous information and subjective judgment. However, most existing methods use precise values to portray indicator information, overlook the uncertainty of weights, and the subjective preferences of decision-makers (DMs).
Why is it important?
This paper proposes a novel approach to select suppliers of PCs. Initially, an evaluation index system for suppliers is estab-lished through literature analysis and a questionnaire survey. The system comprises six layers: product quality, price, ser-vice level, comprehensive ability, supply ability, and environmental sustainability. The group decision matrix is then con-structed using the set-valued statistical method and the prospect theory. The index weights are determined by a combina-tion weighting method. Next, the cobweb model is introduced to analyze the disparity between the alternative and ideal solutions, describing their similarities in terms of area and shape. Lastly, cobweb similarity is employed instead of com-prehensive distance, combined with the minimum sum of squares criterion, to improve the closeness algorithm and con-trast the alternatives.