订单式分布制造系统生产计划与调度综合优化研究

发布时间：2018-06-04 15:36

本文选题：面向订单 + 分布制造　；参考：《沈阳工业大学》2016年硕士论文

【摘要】：有效的生产计划与调度是企业优化生产过程、提高生产效率和效益的有效手段。生产计划与生产调度在企业内部通常是分开进行的,然而,在分布式制造环境下,生产计划需要由多个分布在不同地域的制造主体共同完成,一旦由于市场变化或者现场环境变化,可能需要对原有制造任务进行重新分配和调度,原有的生产计划方案难以有效实施。为此,有必要将计划与调度集成起来进行综合优化。本文以订单式制造为背景,研究分布制造系统生产计划与调度综合优化问题。首先,对订单式分布制造系统及其生产计划与调度问题进行了分析。在订单式制造环境下,考虑产品定制性,即不同客户对同一产品可能有不同的个性化要求,如选用不同材质的原料等情况,本文提出可替代产品物料清单ABOM (alternative bill of material, ABOM)概念,建立了面向订单的生产计划模型。另外,分布制造系统中工厂呈分布结构,客户会在订单中自己指定生产加工的工厂。基于上述特性,本文建立了订单式分布制造生产计划模型。其次,针对生产计划与调度的功能以及在生产优化中彼此的相互作用,本文提出基于规则的订单式分布制造生产计划与调度综合优化策略。考虑到订单释放序列对生产调度至关重要,提出了以到期日、物料到达时间、加工时间、前后订单的开始时间和结束时间作为前向约束和后向约束为核心的“前向一后向规则”的调度策略,在此基础上,结合生产计划要求给出订单式生产计划与调度综合优化策略,以确定每个订单合理的释放时间。最后,为验证所提出的订单式分布制造系统生产计划模型和订单式分布制造系统生产计划与调度综合优化策略的有效性,本文针对多个厂订单分配和订单释放问题用所提出的模型和策略进行仿真研究,并与常规基于最早预定交货期规则、最短加工时间规则的算法进行比较。结果表明,订单式分布制造生产计划模型复杂性增大了但是依然能有效完成订单分配,且综合优化策略比原有规则更优化。
[Abstract]:Effective production planning and scheduling is an effective means for enterprises to optimize production process and improve production efficiency and efficiency. Production planning and production scheduling are usually carried out separately within an enterprise. However, in a distributed manufacturing environment, production planning needs to be completed by multiple manufacturing agents distributed in different regions. Once the market changes or the field environment changes, it may be necessary to redistribute and schedule the original manufacturing tasks, and it is difficult to implement the original production planning scheme effectively. Therefore, it is necessary to integrate planning and scheduling for comprehensive optimization. In this paper, the integrated optimization problem of production planning and scheduling in distributed manufacturing system is studied under the background of order-oriented manufacturing. First, the order distributed manufacturing system and its production planning and scheduling problems are analyzed. In the order manufacturing environment, considering the customization of the product, that is, different customers may have different individual requirements for the same product, such as the selection of different materials, this paper puts forward the ABOM alternative bill of material, ABOM) concept of alternative product bill of materials. An order-oriented production planning model is established. In addition, the factory in the distributed manufacturing system is distributed, the customer will specify the factory in the order. Based on the above characteristics, an order distributed manufacturing planning model is established in this paper. Secondly, aiming at the function of production planning and scheduling and their interaction in production optimization, this paper proposes a rule-based comprehensive optimization strategy for order-based distributed manufacturing production planning and scheduling. Considering that order release sequence is very important for production scheduling, it is proposed that due date, material arrival time, processing time, The start time and end time of order are the core of forward and backward rules. On the basis of this, combined with the requirement of production planning, a comprehensive optimization strategy of order production planning and scheduling is given. To determine a reasonable release time for each order. Finally, in order to verify the effectiveness of the proposed production planning model and order distributed manufacturing system production planning and scheduling comprehensive optimization strategy, In this paper, we use the proposed model and strategy to simulate the problem of order allocation and order release in many factories, and compare it with the conventional algorithms based on the earliest scheduled delivery time rule and the shortest processing time rule. The results show that the complexity of the order-oriented distributed manufacturing planning model is increased, but the order allocation can still be completed effectively, and the comprehensive optimization strategy is more optimized than the original rules.
【学位授予单位】：沈阳工业大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：F273;TP301.6

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