This paper tests the hypothesis that automated cooking robots in restaurants alleviate labor shortages, reduce labor costs, and standardize operations, thereby establishing a sustainable foundation for elderly food-support services. Using operational data from a Sichuan restaurant chain, we identify structural labor cost challenges and show through simulation that T-CHEF cooking robots can reduce monthly labor costs. Furthermore, an interview with the cooking director of a meal-service company managing 50 elderly-care facilities reveals conditional acceptance of robots - promising for labor stabilization, yet constrained by cost, menu variety, and residual preparation tasks. Drawing on Service-Dominant Logic (SDL), we then propose two applications: a home-support model combining the robot with meal-kit delivery, and a deployment model for elderly care facilities and community kitchens. Applying the Social Business Model Canvas (SBMC), we further confirm the model's potential to deliver both social and economic value.

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