Winning a BK travel grant for IISE annual 2022 in Seattle
Jeongwon Park won the BK travel grant to attend the IISE Annual Conference & EXPO 2022.
Welcome to the Simulation & Production Logistics laboratory!
Our simulation models investigate the production logistics.
Our machine learning applications optimize them.
Mission statement
The objective of the Simulation & Production Logistics (SimPL) Laboratory is to develop large-scale simulation models, operational algorithms, machine learning models that will improve the operations and productivity of logistics and related production systems. Active research areas include simulation optimization, material handling and self-organizing operations, and OR applications in warehousing, semiconductor, display, and automobile industries.
Business areas: Material handling and production logistics in distribution centers, container terminals, semiconductor and display fabs, and construction equipment assembly line
OR approaches: Large-scale simulations, machine learning models, and optimization models
Operational strategy: Simulation optimization, self-organizing/-balancing operations
Recent posts
Winning a BK PNU-Fellowship
Bonggwon Kang and Jeongwon Park won a 2022 BK PNU-Fellowship in support of their research.
A Simulation Study for an Operational Design of a Robot-based Digital Assorting System
본 연구에서 분류작업을 위한 자동화 물류시스템으로 로봇 기반 디지털 분류 시스템(Robot-based Digital-assorting system, RDAS)의 운영 관점의 설계와 생산성 분석을 목적으로 시스템 개념도와 운영정책을 제안하고 시나리오 기반의 이산사건 시뮬레이션(Dis...
Order Batching and sequencing in a sequential zone order picking system with consideration of workload balance
This paper aims to develop an order batching and sequencing model for zone work balancing (OBZ) in a sequential zone order picking system (OPS) as means of r...