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A simulation approach for production-distribution planning with consideration given to replenishment policies
One of the key issues in the current research area of supply-chain networks is a production-distribution plan taking into account a multi-facility, multi-product, and multi-period problem. The…
Assessment of CO2 emissions and its reduction potential in the Korean petroleum refining industry using energy-environment models
A logistics model for the transport of disaster victims with various injuries and survival probabilities
An optimization model for patient delivery and medical resource allocation with capacity restrictions and a mixed integer programming model to select the location and network flow of an on-site clinic for supporting first-aid treatment near disaster areas are proposed.
Economic comparison between coal-fired and liquefied natural gas combined cycle power plants considering carbon tax: Korean case
Hybrid approach to production scheduling using genetic algorithm and simulation
This work presents a hybrid approach with a genetic algorithm (GA) and a simulation to solve the production scheduling problem, and shows that the hybrid approach is powerful for complex production scheduling.
The assessment of renewable energy planning on CO2 abatement in South Korea
Parallel machine scheduling with earliness-tardiness penalties and space limits
This paper considers the parallel machine scheduling problem in which n jobs having different release times, due dates, and space limits are to be scheduled on m parallel machines, and develops a heuristic which is divided into three modules hierarchically: job selection, machine selection and job sequencing, and solution improvement.
Advanced Harmony Search with Ant Colony Optimization for Solving the Traveling Salesman Problem
A novel heuristic algorithm based on the methods of advanced Harmony Search and Ant Colony Optimization (AHS-ACO) to effectively solve the Traveling Salesman Problem (TSP) and indicates that it is capable of generating the optimum solution for most instances in the TSPLIB.
Managing demand uncertainty through fuzzy inference in supply chain planning
A supply chain planning model based on fuzzy linear programming, which defines demand as a fuzzy parameter is built and a fuzzy inference approach for converting fuzzy demand into crisp demand is proposed.
Hybrid approach to distribution planning reflecting a stochastic supply chain
Today’s business environment is experiencing as a period of expansion and the globalization. Therefore, a distribution plan with low cost and high customer satisfaction in supply chain management…