A hybrid decision-making methodology for prioritizing collaborative processes in sustainable freight transport

This research proposes a decision-making method to prioritise collaborative processes for road freight transportation in the UK to ensure sustainable collaborative advantage. A hybrid multiattribute decision-making (MADM) method is proposed, which combines intuitionistic fuzzy (IF) modified AHP (Analytic Hierarchy Process) and intuitionistic fuzzy (IF) modified TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution). A total of six sustainable collaborative advantages and six collaborative processes are identified from the literature as criteria and alternatives for the proposed MADM methodology respectively. IF-AHP is utilized to derive the weights of criteria while IF-TOPSIS is used to evaluate and prioritize the alternatives with respect to the criteria. We collect data from a global logistics company involved in road freight transportation operating in the UK. Our study has a practical application of delivering solutions to the road freight transport companies by prioritize their collaborative processes and achieve sustainable collaborative advantage by ensuring reduction in emission, congestion and road accidents. Our analysis reveals that incentive alignment and resource sharing are the two most important collaborative processes.