اميرحسين نجفي

Nowadays, the agricultural supply chain is regarded as one of the main pillars of food production. Given that wheat, as one of the most strategic agricultural products, plays a key role in ensuring global food security an‎d stabilizing international markets, the planning, design, an‎d management of its supply chain is among the most critical needs of Iran. Considering the increasing environmental disruptions an‎d global uncertainties, designing a resilient an‎d viable wheat supply chain has become a necessity. In this study, to address this challenge, a linear mathematical programming model is proposed that, by integrating robust, fuzzy, an‎d stochastic approaches, is capable of managing a wide range of uncertainties. The proposed model incorporates a set of viability strategies such as the use of backup farms, dual-channel distribution, production of substitute products, facility hardening, increasing surplus capacity, an‎d the adoption of digital technologies such as the Internet of Things (IoT) an‎d blockchain. To eva‎luate the model’s effectiveness, a real case study accompanied by a series of numerical analyses was conducted. The results revealed that the integrated implementation of all viability strategies leads to a 36/7 percent reduction in the total supply chain costs. Further analyses indicated that employing backup farms an‎d dual-channel distribution play the most significant roles in enhancing resilience an‎d reducing costs. These findings clearly demonstrate that viability-based design is not only a solution for reducing costs an‎d risks but also a strategic approach that can ensure food security an‎d the viability of global wheat supply. Accordingly, the results of this research provide valuable insights for policymakers, decision-makers, an‎d supply chain managers, an‎d can serve as a foundation for developing forward-looking solutions in other agricultural supply chains as well.

مانايي , زنجيره تامين كشاورزي , طراحي زنجيره تامين , غيرقطعي , گندم

Viability , Agricultural supply chain , supply chain design , Uncertain , wheat

Amirhoseein Najafi

Dr. Sajad Jafari