绿色制造的一种工艺路线决策模型及其求解算法

DECISION-MAKING MODEL FOR PROCESS ROUTE IN GREEN MANUFACTURING AND ITS ALGORITHMS

绿色制造是一个综合考虑环境影响和资源效率的现代制造模式,工艺路线的确定是绿色制造过程中的关键问题之一。基于现有解决工艺路线决策问题的研究成果,建立了一种面向绿色制造的工艺路线决策模型,旨在优化产品制造工艺过程、节约制造过程中的物料和能源的消耗和减少废弃物的排放和污染;并对工艺路线决策的现有算法进行了探讨。针对现有算法的不足,将遗传算法与模拟退火算法相结合对该模型进行求解,并用案例来验证模型的实用性和算法的可行性。

Green manufacturing is a modern manufacturing model that integrates product and process design issues with issues of manufacturing production planning and control in such a manner as to identify, quantify, assess, and manage the flow of environmental waste with the goal of reducing and ultimately minimizing environmental impact while also trying to maximize resource efficiency. The decision making of process route becomes one of the critical problems in green manufacturing. On the basis of its current research production, a decision-making model for process route in green manufacturing processes is established. The model considers the time, cost, quality, resource consumption and environmental impact as a technical constrain. The technical constrain together with the constrains of precedence sequences, clustering and adjacency compose of the constrains of technical process for green manufacturing. In terms of the current assessment method for the process route and its deficiencies, an integrated methodology-the genetic simulated annealing algorithm is developed to apply for the decision-making model. As a result, a case study is performed to illustrate and examine the practicability of the model and the feasibility of the genetic simulated annealing algorithm.