Inventory classification in make-to-order (MTO) manufacturing requires more than traditional ABC methods, which focus mainly on cost or consumption. In environments with high customization and dynamic
Inventory classification in make-to-order (MTO) manufacturing requires more than traditional ABC methods, which focus mainly on cost or consumption. In environments with high customization and dynamic
Stability intervals for criteria groups in the PROMETHEE II ranking with V-shape preference function with no indifference threshold for the real network.
Given a set of $n$ alternatives, each evaluated against criteria that assign real-valued ratings, a ranking can be generated by ordering the alternatives in accordance with their ratings, when only on
