OR based multi-objective decision-making in e-commerce improvement

The inefficiencies and high costs of traditional business process redesign techniques, which frequently rely on manual optimization and lack systematic approaches, are discussed in this study. Our suggestion to address these issues is a computational fuzzy model that combines multi-objective decision-making methods with operational research. This model analyses corporate goals, resources, and limitations in an organized manner to improve the efficacy of business redesign. Our approach makes finding the best redesign tactics easier while considering various goals and trade-offs. Test results show that the suggested methodology delivers an astounding 98.62% average accuracy in redesign results. Its efficiency is further demonstrated by the fact that the average time needed for the redesign process is reduced to 11.55 s, and related expenditures are kept to a minimum. The results show that using the computational fuzzy model makes decision-making more accessible and generally raises the standard of business operations. This model offers a valuable tool for businesses looking to improve operational effectiveness and save expenses in fast-paced e-commerce by providing an organized approach to company redesign. The outcomes show how sophisticated decision-making frameworks may be integrated into business process management to enable more efficient and flexible organizational procedures.