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针对市场需求出现后敏捷供应链需要选择各级部件供应商并安排对应的生产运输调度问题,以准时满足市场需求为基本约束,以供应链库存、生产和运输总成本最小为目标函数,建立了基于供应商可用时段时间槽表示方式下的敏捷供应链集成调度INLP模型;基于该模型具有大量的时间和数量约束,设计了以时间槽实数编码作为基因编码的混合遗传算法,在解码过程中引入贪婪-序的解码方法保证产生满足约束的解,加速算法收敛和寻优;最后以算例验证模型和算法的有效性和稳健性.
According to the market demand, agile supply chain needs to select suppliers of all levels of components and arrange corresponding production scheduling problems. Satisfying the market demand on time is the basic constraint, taking the minimum total cost of supply chain inventory, production and transportation as the objective function, Based on the INLP model of agile supply chain under the time-slot representation of supplier available time slot, a hybrid genetic algorithm based on time-slot real number encoding was designed based on the model with a large number of time and quantity constraints, which was introduced into the decoding process The greedy-order decoding method ensures that the solution to the constraints is satisfied and the convergence and optimization of the algorithm are accelerated. Finally, an example is given to verify the validity and robustness of the model and the algorithm.