Cross-efficiency for advanced manufacturing technology selection: A multi-task approach

Advanced manufacturing technologies (AMTs) are more and used by firms to perform repetitive tasks in the production processes. As opting for an ATM represents important investment firms, several methodologies have been suggested help firm decision-makers selecting best one. A popular concept that context is cross-efficiency technique. In short, it endogenously selects computing scores using linear programmings. this paper, we extend technique adding a new feature: model ATMs as multi-task The approach presents two main advantages. One, naturally gives option allocate inputs/costs indicators/attributes every task, yielding realist modelling of AMT Two, AMTs can be compared task separately, increasing discriminatory power selection process. consequence, overall performances better understood, and, particular, reasons declaring specific investigated. We demonstrate usefulness our considering numerical example applications. each case, practical managerial approach.