فاطمه زاهدي

The dairy supply chain, despite its critical role in ensuring the provision of essential products, faces numerous challenges such as product perishability, deman‎d fluctuations, an‎d adverse environmental impacts. Moreover, the high levels of waste generation an‎d significant greenhouse gas emissions have further emphasized the need for a comprehensive redesign of these supply chains. Previous studies in this domain have predominantly focused on the economic an‎d environmental aspects of sustainability, while comparatively less attention has been paid to the social dimension an‎d the principles of the circular economy. Additionally, the presence of uncertainty in key parameters such as consumption an‎d recycling rates presents another critical challenge that must be addressed. This research proposes two distinct approaches for the multi-period, multi-product mixed-integer programming of the dairy supply chain redesign problem. The first is a cost-minimization linear programming model solved using an accelerated Benders decomposition algorithm. The second is a multi-objective model that simultaneously considers economic an‎d social goals, solved through an enhanced ε-constraint method. In both approaches, a two-stage scenario-based stochastic programming framework is employed to han‎dle uncertainty. The results of a real case study conducted in an Iranian dairy company demonstrate that network redesign leads to the consolidation of some existing distribution centers, the establishment of new facilities, an‎d the closure of certain centers located in strategically suboptimal areas. This redesign results in a 25% reduction in transportation costs an‎d a 15% decrease in operational costs. The accelerated Benders decomposition algorithm exhibited high computational efficiency, achieving an 8.2-fold increase in convergence speed compared to the traditional method when solving large-scale problems. Finally, several sensitivity analyses were performed on key model parameters, offering valuable managerial insights for industry practitioners seeking to redesign their supply chain networks an‎d make well-informed strategic decisions.

بازطراحي مجدد شبكه زنجيره تامين , پايداري , عدم قطعيت , اقتصاد چرخشي , الگوريتم تجزيه بندرز تسريع شده

Supply chain network redesign , Uncertainty , Sustainability , Circular economy , Accelerated benders decomposition algorithm

Fatemeh Zahedi

Farnaz Barzinpour