Supply chain modeling: past, present and future
Computers and Industrial Engineering - Supply chain management
Stochastic Transportation-Inventory Network Design Problem
Operations Research
Trade-offs Between Customer Service and Cost in Integrated Supply Chain Design
Manufacturing & Service Operations Management
Computers and Industrial Engineering
A mixed-integer programming model for global logistics transportation problems
International Journal of Systems Science
Integrated production and distribution planning for single-period inventory products
International Journal of Computer Integrated Manufacturing
The integrated production---inventory---distribution---routing problem
Journal of Scheduling
Computers and Operations Research
Expert Systems with Applications: An International Journal
A genetic approach to two-phase optimization of dynamic supply chain scheduling
Computers and Industrial Engineering
Multi-criteria mathematical model for designing the distribution network of a consumer goods company
Computers and Industrial Engineering
A linear relaxation-based heuristic approach for logistics network design
Computers and Industrial Engineering
Coordination of split deliveries in one-warehouse multi-retailer distribution systems
Computers and Industrial Engineering
Computers & Mathematics with Applications
Optimization of Supply Chain Systems with Price Elasticity of Demand
INFORMS Journal on Computing
Computers and Operations Research
Development of a fuel consumption optimization model for the capacitated vehicle routing problem
Computers and Operations Research
A genetic algorithm based heuristic to the multi-period fixed charge distribution problem
Applied Soft Computing
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Journal of Global Optimization
| Hi-index | 12.05 |
Supply chain mathematical programming models mainly used for computer-aided decision-making processes, have been widely used to date as an advanced support to the experts' opinions. Transportation operations are often a central aspect of such models. We developed a detailed review of the freight transportation function included in supply chain models, and some transportation aspects were identified and analyzed in recent articles (2009-2013). We identified one paradigm, two trends and an anomaly regarding transportation modeling. The main anomaly-related observation refers to the absence of correspondence between the modeling of transportation operations and the transportation cost function considered in the models. This gap has not been so far considered in the literature and we propose a framework to guide, in a more systemic way, the transportation considerations into optimization models. In addition, some concerns regarding trade-off analysis, private/outsourced fleet considerations, the role of time and distance in transportation cost analysis, among others, were also included. These issues are expected to be significant for supply chain analysts whose decisions emerge from modeling and computer-aided tools.