The supply chain of agricultural products has received a great deal of attention lately due to issues related to public health. Something that has become apparent is that in the near future the design and operation of agricultural supply chains will be subject to more stringent regulations and closer monitoring, in particular those for products destined for human consumption (agri-foods). The supply chain of agri-foods, as any other supply chain, is a network of organizations working together in different processes and activities in order to bring products and services to the market, with the purpose of satisfying customers' demands.This work is a study for renovating the distribution network of chicken meat from slaughterhouses to the retailer in the city of Tlemcen (Algeria). The objective of our problem is to determine the centroid of customer clusters (set of retailers), and the location/allocation of slaughterhouses in such a way that total logistics costs (location and transportation costs) are minimized, in such a way that capacity of vehicles and slaughterhouses are respected. As mentioned in our paper, the entire problem is decomposed into two sub problems, and each sub problem is solved in sequential manner, to get the final solution. LINGO optimization solver (Version12.0) has been used to get the solution to the problem.

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The increasing customer expectations for customized products of high quality in short delays and the worldwide competition in terms of quality and costs have pushed industries to implement new strategies to manage their supply chain decisions. In this context, the integrated planning is becoming the most dominant over the operational research field because of its efficiency and its ability to cover the different aspects of the problem. Production routing problem is one of the problems of the integrated planning that is of interest in optimizing simultaneously production, inventory, and distribution planning. This paper has the purpose of developing two mono-objective models for the production-routing problem; one of them minimizes the total costs, while the other one minimizes the energy consumed by the production system. Finally, a bi-objective model is proposed to combine the two objectives mentioned previously using the LP-metric method in the context of a sustainable supply chain. Experimental results are also presented and discussed through the different scenarios.

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