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The increase in competitiveness and environmental challenges drive manufacturing industry to change in layout frequently. Moreover, due to environmental challenges, use of scarce resources like electrical energy consumption (EEC) is a major issue. To tackle these rapidly changing conditions, a layout must be efficient and effective. This work proposes a bi-objective robust stochastic sustainable cellular facility layout mathematical model and embedded meta-heuristic to solve it. The proposed model simultaneously minimizes material handling cost for both inter/intra-cellular movement and EEC in cellular manufacturing systems. In today’s sensitive market, demand fluctuates very frequently, so a layout must be robust so that it can tackle all these market fluctuations. To cure the problem, robust facility layout has been designed and solved using simulated annealing (SA)-based embedded meta-heuristic …