Strategic planning of biodiesel supply chain

Abstract

Objective: A stochastic bi-objective Mixed Integer Problem -MIP model of biodiesel supply chain networks is presented, ultimately intended to support strategic decisions of stakeholders. Materials and Methods:The bi-objective MIP model aims to minimize the total cost and environmental impact of five chain echelons, taking into consideration the following constraints: economies of scale, location of facilities, production capacity, raw material supply, product demand, bill of materials and mass balance. The solution procedure resorts to chance constraints, valid constraints and the ε-constraint method. Results and Discussion:The CPU times for the optimal solution of the problem instances show very good values. Computational experiments allowed assessing the performance of the solution procedure. Conclusion:The current approach to the modeling of the biodiesel supply chain may serve as the basis of future similar works and associated solution procedures, thus facilitating decision-making at different supply chain stages. The approach fosters the development of new solution approaches such as adequate acceleration; heuristics and meta-heuristics; branch and cut methods; and Lagrangian, Benders and Danzing-Wolfe decompositions. These new approaches are intended to allow comparisons in terms of computational performance level, optimality gap, CPU time and memory usage.

Caracterización de la cadena de abastecimiento de productos lácteos

“…At first, it was applied to coffee (García-Cáceres and Olaya, 2006), followed by oil palm (García-Cáceres et al, 2013), cocoa (García-Cáceres et al, 2014) and potato (García-Cáceres et al, 2018), among others. This methodology seeks to facilitate SC decision making at the strategic level (García-Cáceres and Escobar, 2016), which satisfies an important SC management need that had been previously identified by Riopel et al (2005).…”

Analysis of the hospital supply chain in a Cuban territory

“…Therefore, supply chain management plays a fundamental role since it represents the set of companies integrated efficiently through collaborative relationships in their key processes. The objective of this relationship is to place the inputs resources in each chain process, at the right time and at lowest cost; for seeking the greatest impact in the value chain members and satisfying the requirements of final consumers [16,17].…”