2021/05/11 by Michael Barry, Barry, Michael, Claudio Gambella +8
Computer Science · Engineering · Mathematics · #Advanced Manufacturing and Logistics Optimization #Assembly Line Balancing Optimization #FOS: Computer and information sciences #FOS: Mathematics #Optimization and Control (math.OC) #Other Computer Science (cs.OH) #Scheduling and Optimization Algorithms #cs.OH #math.OC
paper · pdf · doi:10.48550/arxiv.2105.05017
arxiv created 2021/05/11 · openalex publication_date 2021/05/11 · arxiv updated 2021/05/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The Covid-19 pandemic introduces new challenges and constraints for return to work business planning. We describe a space allocation problem that incorporates social distancing constraints while optimising the number of available safe workspaces in a return to work scenario. We propose and demonstrate a graph based approach that solves the optimisation problem via modelling as a bipartite graph of disconnected components over a graph of constraints. We compare results obtained with a constrained random walk and a linear programming approach.