Design of a Green Dental Tourism Supply Chain Network: A Case Study of Qom Province

Supply chain network design involves key strategic decisions that significantly influence the operational structure of the supply chain. Therefore, the primary objective of this study is to design a green dental tourism supply chain network and solve it using metaheuristic algorithms. This research is of applied nature and employs a combination of field and library-based methods for data collection. Required data were gathered through field surveys from dental clinics and three- and four-star hotels in Qom Province, and subsequently used in solving the proposed model. The network is modeled with consideration of environmental factors and aims to minimize the total cost of the dental tourism supply chain. The resulting multi-objective optimization model is solved using two metaheuristic algorithms—NRGA (Non-dominated Ranked Genetic Algorithm) and NSGA-II (Non-dominated Sorting Genetic Algorithm II)—and the outcomes are comparatively analyzed. This study contributes to the design and optimization of a sustainable dental tourism supply chain network through metaheuristic approaches, and based on the findings, practical recommendations are provided. The results indicate that NSGA-II outperforms NRGA in generating more efficient solutions and better prioritization of the Pareto-optimal fronts for the multiple objective functions of the problem.

کلیدواژه ها:

Supply Chain ، Tourism Supply Chain ، Health Tourism ، Dentistry ، Meta-Heuristic Algorithms