“…According to [46] (p. 82), multi-objective optimization requires the "definition of appropriate decision variables, objective functions and constraints, and finally, the selection of appropriate solution techniques." Unlike single-objective optimization, which sets out to identify the best amongst a series of alternatives, thereby recommending the superlative option, multi-objective optimization involves a more detailed comparison of various attributes of the available alternatives before choices are made [4,47]. For instance, instead of making a project decision based solely on cost consideration, MOO evaluates various dimensions of project expectations like cost reduction, timely delivery, quality assurance, best practice, safety considerations, etc., before substantiating a preferred procurement route.…”