给出了加工时间离散可控的作业车间调度问题(job-shop scheduling problem with discretely controllable processing times,JSP-DCPT)基于析取图的模型及其数学描述.提出一种三步分解方法,使得JSP-DCPT可以通过求解一个作业车间调度问题(job-shop scheduling problem,JSP)以及一系列离散时间-成本权衡问题得到解决.为简化分解方法,引入时间-成本相平面描述离散时间-成本权衡问题的权衡点,并详细阐释了一种基于极限模式的集合支配理论以确定用于消减JSP-DCPT分解所得离散时间-成本权衡问题的一个上界.随后提出一种基于极限模式的集合支配分解算法EMSDDA(extreme mode-based set dominant decomposition algorithm).基于JSP标准算例FT10构造了测试算例JSPDCPT_FT10,实验仿真验证了提出的理论及分解方法的有效性.
Job-shop scheduling problem with discretely controllable processing times (JSP-DCPT) is modeled based on the disjunctive graph, and the formulation of JSP-DCPT is presented. A three-step decomposition approach is proposed so that JSP-DCPT can be handled by solving a job-shop scheduling problem (JSP) and a series of discrete time-cost tradeoff problems. To simplify the decomposition approach, the time-cost phase plane is introduced to describe tradeoffs of the discrete time-cost tradeoff problem, and an extreme mode-based set dominant theory is elaborated so that an upper bound is determined to cut discrete time-cost tradeoff problems generated by using the proposed decomposition approach. An extreme mode-based set dominant decomposition algorithm (EMSDDA) is then proposed. Experimental simulations for instance JSPDCPT_FT10, which is designed based on a JSP benchmark FT10, demonstrate the effectiveness of the proposed theory and the decomposition approach.
