上海交通大学学报

上海交通大学学报（自然版） ›› 2018, Vol. 52 ›› Issue (12): 1655-1662.doi: 10.16183/j.cnki.jsjtu.2018.12.016

• 学报（中文） • 上一篇    

云制造平台下订单可分解的协同生产计划模型及求解

王静a,b，潘开灵a，刘翱a,b，王鑫鑫a   

  1. 武汉科技大学 a. 管理学院； b. 服务科学与工程研究中心, 武汉 430065
  • 通讯作者: 潘开灵，男，教授，博士生导师，电话（Tel.）：13507155781；E-mail:pankl0122@163.com.
  • 作者简介:王静(1980-)，女，湖北省黄石市人，博士，主要研究方向为智能制造、生产管理、决策支持系统研究.
  • 基金资助:
    国家自然科学基金资助项目(71701156)，湖北省软科学研究资助项目（2017ADC108），湖北服务科学与工程研究中心开放基金资助项目(CSSE2017GB02)

The Model and Solution for Collaborative Production Planning with Order Splitting in Cloud Manufacturing Platform

WANG Jing,PAN Kailing,LIU Ao,WANG Xinxin   

  1. a. School of Management; b. Center for Service Science and Engineering, Wuhan University of Science and Technology, Wuhan 430065, China

摘要： 针对云平台下多订单在多企业多时段的协同生产计划问题，引入订单拆分数和订单最小分解率这两个调节变量，在考虑生产时间窗和生产能力等约束下建立协同生产计划模型.同时，设计双层编码，并运用自适应模拟退火遗传算法在不同数据规模下对模型进行求解，求解结果与商用优化软件CPLEX进行比较.最后对模型中的关键参数进行了灵敏度分析，实验结果为云制造平台运营决策者提供决策依据.

关键词: 云制造, 协同生产计划, 订单分解, 遗传算法

Abstract: In cloud manufacturing platform, a multi-plants and multi-periods collaborative production problem was discussed by introducing two adjustive variables, which are the maximal number of enterprises that process an order and the minimal order splitting ratio, respectively. We established a collaborative production planning model with constrains of production time window and production capacity. Then, a self-adaptive simulated annealing genetic algorithm using bi-level code was designed. Our proposed approach was compared with a commercial optimization software CPLEX under different data sizes in numerical simulation. Lastly, the sensitivity analysis of the major parameters in the model was carried on. The experimental results provide a decision-making basis for operation decision makers of cloud manufacturing platform.

Key words: cloud manufacturing, collaborative production planning, order splitting, genetic algorithm

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