This paper proposes a risk-aware approach to tactical supply chain planning based on integration of mathematical programming and simulation. A prototype planning system implementing this ap-proach is described. The prototype is developed using Anylogic simulation software and an open source mixed integer optimization tool – GNU Linear Programming Kit (GLPK)
We consider the problem of cars-to-train assignments, routing and scheduling, which is to minimize the weighted average time of transportation orders execution by consistently choosing the compound of trains, their routes from origins to destinations, and schedules. We offer the new integer problem settings to account for different cases of practical constraints.
This paper describes an approach to supply chain network optimization for a petrochemical enterprise. The state-task network is used for supply chain representation. A framework for comprehensive economic and environmental assessment based on life cycle assessment is proposed. The software implementation of proposed methodology is described.
This paper describes a prototype distribution network planning tool based on an iterative approach using a combination of mixed-integer linear programming and simulation. The prototype is implemented using an open-source optimization package GLPK and Anylogic software.