Sukjae Jeong

Publications91
h-index15
Citations532
Highly Influential Citations20
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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…
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Assessment of CO2 emissions and its reduction potential in the Korean petroleum refining industry using energy-environment models
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A logistics model for the transport of disaster victims with various injuries and survival probabilities
TLDR
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.
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Economic comparison between coal-fired and liquefied natural gas combined cycle power plants considering carbon tax: Korean case
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Hybrid approach to production scheduling using genetic algorithm and simulation
TLDR
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.
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The assessment of renewable energy planning on CO2 abatement in South Korea
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Parallel machine scheduling with earliness-tardiness penalties and space limits
TLDR
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.
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Advanced Harmony Search with Ant Colony Optimization for Solving the Traveling Salesman Problem
TLDR
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.
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Managing demand uncertainty through fuzzy inference in supply chain planning
TLDR
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.
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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…
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