The vehicle routing problem
Performance Measurement for Inventory Routing
Transportation Science
A reactive GRASP and path relinking for a combined production-distribution problem
Computers and Operations Research
Order Assignment and Scheduling in a Supply Chain
Operations Research
Heuristics for Joint Decisions in Production, Transportation, and Order Quantity
Transportation Science
Heuristic approaches for the inventory-routing problem with backlogging
Computers and Industrial Engineering
Synchronizing production and air transportation scheduling using mathematical programming models
Journal of Computational and Applied Mathematics
An improved model for large scale inventory routing problem with useful properties
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Expert Systems with Applications: An International Journal
A branch-and-price algorithm for an integrated production and inventory routing problem
Computers and Operations Research
Tabu search with path relinking for an integrated production-distribution problem
Computers and Operations Research
A single machine scheduling problem with air transportation decision
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I
A two step approach for the integrated production and distribution planning of a supply chain
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Supply Hub in Industrial Park (SHIP): The value of freight consolidation
Computers and Industrial Engineering
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An integrated optimization model for production and distribution planning is proposed, with the aim of optimally coordinating important and interrelated logistic decisions such as capacity management, inventory allocation, and vehicle routing. The integrated model is solved via Lagrangean relaxation and both lower bounds and heuristic feasible solutions are obtained. Computational results on test problems of various sizes are provided to show the effectiveness of the proposed solution scheme. Moreover, the feasible solution obtained is compared to that generated by an alternative decoupled approach in which a production plan is first developed and a distribution schedule is consequently derived. Computational results seem to indicate a substantial advantage of the synchronized approach over the decoupled decision process.