This event is endorsed
and organized by

EAI International Conference on Computer Science and Engineering

November 3–4, 2017 | Bangkok, Thailand

SPECIAL SESSION ON:

LARGE SCALE OPTIMIZATION IN SUPPLY CHAINS

PROF. JOSÉ ANTONIO MARMOLEJO

In the past decades, many nature-inspired optimization algorithms have been developed and applied successfully for solving a wide range of supply chain optimization problems. Although these techniques have shown good performance when applying to small or medium sized problems, however they still encounter serious challenges when applying to large scale problems. In today’s global business environment, an effective and reliable supply chain substantially increases a company’s competitive advantage. Supply chainmanagement has played a crucial role in a business’s success. Optimization has been sought to model and solve many of these supply chain problems.However, as the size of the optimization model grows, the difficulty of finding the optimal or near-optimal solution typically grows exponentially. For this reason, decomposition algorithms have been developed to tackle the large-scale optimization problems. Decomposition permits the easy obtention of some sensitivities that are difficult to obtain from the initial problem. Supply chain optimization problems with a decomposable structure that can be exploited through a decomposition techniques.This special session is devoted to highlight the recent advances in large scale optimization for supply chains. We encourage interested researchers to submit their original and unpublished work.

 

Potential topics include, but are not limited to:

• Global supply chains
• Network design and site location involving multimodal transportation
• Transportation, autonomous vehicles, drones, and vehicle routing
• Operations and supply chain design
• Assembly/distribution supply chains