Litcius/Paper detail

Multi-robot multi-operator collaborative assembly systems: a performance evaluation model

Giovanni Boschetti, Matteo Bottin, Maurizio Faccio, Riccardo Minto

2021Journal of Intelligent Manufacturing40 citationsDOIOpen Access PDF

Abstract

Abstract In the last decade, collaborative assembly systems (CAS) are becoming increasingly common due to their ability to merge the flexibility of a manual assembly system with the performance of traditional robotics. Technical constraints, e.g., dedicated tools or resources, or performance requirements, e.g., throughput, could encourage the use of a CAS built around a multi-robot and multi-operator layout, i.e., with a number of resources greater than 2. Starting from the development of a prototype multi-robot multi-operator collaborative workcell, a simulation environment was developed to evaluate the makespan and the degree of collaboration in multi-robot multi-operator CAS. From the simulation environment, a mathematical model was conceptualized. The presented model allows estimating, with a certain degree of accuracy, the performances of the system. The results have investigated how several process characteristics, i.e. the number and type of resources, the resources layout, the task allocation method, and the number of feeding devices, influence the degree of collaboration between the resources. Lastly, the authors propose a compact analytic formulation, based on an exponential function, and define the methods and the influence factors to determine its parameters.

Topics & Concepts

WorkcellMerge (version control)RobotOperator (biology)Computer scienceDistributed computingRoboticsScheduling (production processes)Flexibility (engineering)Industrial engineeringArtificial intelligenceMathematical optimizationEngineeringMathematicsTranscription factorChemistryRepressorGeneInformation retrievalStatisticsBiochemistryAssembly Line Balancing OptimizationAdvanced Manufacturing and Logistics OptimizationManufacturing Process and Optimization