原材料
调度(生产过程)
供应链
院子
启发式
计算机科学
运筹学
供应链管理
整数规划
离散事件仿真
工业工程
工程类
运营管理
模拟
算法
操作系统
物理
量子力学
有机化学
化学
法学
政治学
作者
Deokhyun Seong,Min Soo Suh
标识
DOI:10.1080/09537287.2011.586651
摘要
Abstract An integrated modelling approach combining optimisation models with simulation is proposed for coordinated raw material management at steel works throughout the whole supply chain management process. The integrated model is composed of three components: ship scheduling, yard operation simulation and material blending models. The ship scheduling model determines which brands, how much and when they should be arrived, and the problem is modelled as mixed integer linear programming. The simulation model is used to simulate the whole processes from ships' arrivals to the retrieval of the materials through the berthing and unloading the raw materials. Finally, the raw material blending model is developed for determining the brand and quantity of raw materials to be used. The proposed integrated modelling approach for raw material management has been successfully implemented and applied at steelwork to provide shipping schedules and predict future inventory levels at stock yards. By coordinating all the activities throughout the entire raw material supply chain management process, this article proposes an integrated approach to the problem and suggests a guideline by the appropriate simplification. The quantitative nature of the optimisation model and simulation facilitates an assessment of the risk factors in the supply chain, leading to an evaluation of a wide variety of scenarios and the development of multiple contingency plans. Further research is expected to supplement the ship scheduling models with heuristics for the idiosyncratic constraints of maritime transportation. Keywords: integrated raw material managementsupply chain managementship schedulingblendingsimulation
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