The Research On Produce Scheduling And Optimization Technology Based On APS

APS technology is a new and difficult area in SCM region nowadays. This article focuses on produce scheduling technology and the algorithm of job scheduling, at the same time, exploits and implements the"Production Management System"of Harbin Turbine Co. Ltd.(Short of"HTC").First of all,this article analyses and summarizes the theory of produce scheduling based on APS. The thesis analyses the deficiency of tradition ERP job scheduling, summarizes the function of plan, definition of constraints, key technique based on APS and so on. And the flow of produce scheduling is designed in detail, The relation of APS SCM and ERP is compared.Secondly, this article researches the technique of job scheduling optimization based on APS, and focuses on genetic algorithm how to apply in job shop scheduling. A new encoding strategy is designed, according to the encoding strategy, such genetic operation as population initialization, fitness function, selection, crossover, mutation are studied in detail. Next genetic algorithm is implemented by program Delphi, FT06 and FT10 standard problems study are carried out to test the validity of the genetic algorithm.Finally, according to software engineering, demand analysis, operation flow analyses, system function design, and the technique of implementation about HTC's"Production Management System"are discussed. We exploit and implement HTC's"Production Management System", the"Production Management System"gives priority to plan, aims at"third-flow"(logistics, information flow, funds flow). At last, a new method about job shop scheduling is put forward. This method uses this article's genetic algorithm to design non-key-resource scheduling and handiwork to design key-resource scheduling.