The objective of this article is to improve the level of integration in all aspects of supply chain reconfiguration, such as the inventory allocation and manufacturing process involved, by incorporating manufacturing and product design into logistic design.
Regional differences among studies in organ allocation policy, institutional differences in the logistic design and deployment criteria of extracorporeal circuits and surgeon-specific preferences about organ selection and operative technique also pose limitations for a reliable comparison.
The design factors encompass logistic network design, part vendor selection, and transportation modes selection.
To cope with extremely large-scale logistic network designs for strategic optimization and real time operational optimizations as well, in this paper, we propose an extended algorithm of our hybrid method for the parallel computing.
We propose a collaborative e-Work based optimization approach for assisting the strategic logistic network design problem, which considers fleet design and customer clustering decisions.
Recently, we have concerned the strategic optimization on logistic network design and developed an efficient two-level solution method.
The model is also used and evaluated on a real-world combinational problem, flexible logistic network design problem.
The following notation is used in the formulation of the capacitated location-routing problem with time window in reverse logistic network design (CLRPTW-RLND) model.
Recently, we have concerned the strategic optimization on logistic network design problems and developed an efficient two-level solution method using a meta-heuristic method like tabu search.
Within the multi-objective stochastic model for a forward/reverse logistic network design by Ramezani et al. (2013), the opening of plants, distribution centers, collection centers, hybrid processing facilities and disposal centers is connected to alternative capacity levels.
