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3857. Balancing and scheduling human-robot collaborated assembly lines considering cycle time, energy costs, and ergonomic risks

Invited abstract in session WB-49: Flow shop scheduling problems, stream Lot Sizing, Lot Scheduling and Production Planning.

Wednesday, 10:30-12:00
Room: M1 (building: 101)

Authors (first author is the speaker)

1. Amir Nourmohammadi
Intelligent Production Systems, School of Engineering Science, University of Skövde
2. Masood Fathi
Intelligent Production Systems, University of Skövde

Abstract

The recent Industry 4.0 trend, followed by the technological advancement of collaborative robots, has convinced many industries to shift towards semi-automated assembly lines with human-robot collaboration (HRC). Moreover, moving towards the human-centric and resilient industries proposed by the Industry 5.0 vision, the increasing use of HRC-based collaborative assembly systems is anticipated in the near future. In the HRC environment, robot agility can support human skill upon efficiently balancing and scheduling tasks among the stations and operators. However, in this attempt, the cycle time (CT), the total energy cost (TEC) of robots, and the total ergonomic risks (TER) of humans are among three conflicting objectives. Thus, this study deals with the balancing and scheduling of HRC lines where a trade-off between CT, TEC of robots, and TER of humans is sought. A mixed-integer linear programming model is proposed to formulate the problem. In addition, a multi-objective optimization approach based on ε-constraint is developed to address a case study from the automotive industry and a set of generated test problems. The computational results show that promising Pareto solutions in terms of CT, TEC, and TER can be obtained using the proposed approach.

Keywords

Status: accepted

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