面向复杂生产系统设计与控制的仿真优化方法研究

项目名称： 面向复杂生产系统设计与控制的仿真优化方法研究

项目编号： No.61473188

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 自动化技术、计算机技术

项目作者： Andrea Matta

作者单位： 上海交通大学

项目金额： 82万元

中文摘要： 市场竞争越来越激烈，这使得企业越来越关注其生产和库存系统的配置及其使用方式。由于系统配置和控制系统的策略影响了大部分发生在生产周期中的成本，系统配置和控制系统策略的设计阶段相互关联。企业需要需要设计复杂生产系统和库存系统，然而实际仿真优化方法并不能满足公司的这个需求。由于具有大量的可选项、动态随机性、非线性特征、以及变量之间的隐性关系，企业通常使用仿真评估系统性能，然后基于经验进行优化。针对该问题，本项目拟研究基于数学规划和时间缓冲的仿真优化方法。首先构建能够同时优化和仿真生产系统的数学模型；然后基于时间缓冲近似，即将生产部件间的同步机制转化为事件之间的同步机制，以简化数学模型中的仿真优化问题；这种近似使得带有整数决策变量的复杂数学规划模型可以转化为便于优化算法快速求解的线性规划模型。项目所提出方案能够使得生产系统提高生产率，降低在制品水平，缩短订单提前期，降低成本。

中文关键词： 生产系统；建模仿真；优化控制

英文摘要： The always increasing market competition is forcing companies to dedicate more and more attention to the configuration of their production and inventory systems and the way in which they are utilized. In this context, the design phase of either the configuration of the system or the policies controlling the system becomes relevant because affecting most of the future costs incurred during the system life cycle. In this phase, actual simulation-optimization methods do not satisfy the company needs, which have to design complex production and inventory systems. Complexity is due to the high number of possible alternatives, the randomness affecting dynamics, the non-linear behavior and the implicit relationships among variables. The common practice in companies is to use simulation to estimate the system performance (i.e., production rate, WIP, lead time, etc.) of a specific alternative, while the optimization phase is executed with simple rules of thumb. As a consequence, production and inventory systems are suboptimal and incur in higher costs than necessary.This project aims at developing a new framework for simulation-optimization of production and inventory systems. The framework is based on two main pillars: mathematical programming and time buffer. The first is innovatively used to make possible formulating and solving one mathematical model that simultaneously optimizes and simulates the production system. The time buffer is an approximation for simplifying the simulation-optimization problem when formulated as a mathematical model. More specifically all the synchronization mechanisms between parts in the production systems are translated into synchronization mechanisms between events. This translation is such that complex mathematical models with integer decision variables are easily commuted into linear mathematical models. This simplification allows simpler mathematical formulations to be quickly solved by optimization algorithms. Expected achievements are production systems with higher production rate, lower WIP, shorter order lead times and lower costs.

英文关键词： Production System;Simulation;Optimization and Control