【摘要】：現有的鐵路物流中心大多是鐵路貨運站通過硬件升級轉變而來,需要在軟件上進行升級,流程上加以改進。本文通過調研鐵路物流中心,取得業(yè)務流程基礎資料,結合petri網模型進行優(yōu)化,提出了可操作的業(yè)務流程,有助于鐵路物流中心經營管理水平提高。 本文總結了鐵路物流、業(yè)務流程重組和優(yōu)化算法等相關理論,分析了鐵路物流中心的建設背景、目的和意義,通過調研搜集相關業(yè)務流程資料,將鐵路物流中心流程重組的重點放在對現有資源進行合理應用方面,形成較優(yōu)且具有操作性的業(yè)務流程。 本文分析了鐵路物流中心建設情況以及其現行業(yè)務流程,通過對流程的抽象提煉,分析出其村咋的問題,進而采用petri網對業(yè)務流程進行建模,針對模型的特點選用遺傳算法進行優(yōu)化求解,以遺傳算法的結構對模型參數進行設定和編碼,構建效益與成本相結合的目標函數和適應度函數,對模型求解并結合模型對優(yōu)化解進行解讀,提出優(yōu)化流程。 本文第一章介紹了本研究的背景和意義,國內外研究動態(tài)以及本論文的主要內容和結構安排。第二章對鐵路物流中心的業(yè)務流程進行全面梳理,并從中歸納總結出流程所存在的問題和優(yōu)化的思路。第三章介紹面向業(yè)務的petri網模型,選取適合進行流程優(yōu)化的petri網模型,構建基于業(yè)務流程的petri網模型,對模型的指標、結構進行說明。第四章應用遺傳算法對模型進行編碼,描述該模型的一般編碼和特殊編碼。第五章對鐵路物流中心業(yè)務流程某算例進行計算,說明優(yōu)化方法。第六章對鐵路物流中心流程進行整體優(yōu)化,對優(yōu)化點和優(yōu)化預期結果進行說明。第七章根據鐵路物流優(yōu)化模式、所建立模型的特點和該優(yōu)化方法存在的問題,提出鐵路物流中心業(yè)務流程優(yōu)化的完善方案應是采用動態(tài)流程管理方式的思路,提出了人與流程相結合的流程動態(tài)管理的流程優(yōu)化模式。 本文的創(chuàng)新點是通過分析鐵路物流中心的流程特征,建立與之相匹配的流程模型,并運用遺傳算法對目標進行優(yōu)化,提出一種柔性的流程協調方法。
[Abstract]:Most of the existing railway logistics centers are transformed by hardware upgrade, which needs to be upgraded in software and process. This paper studies the railway logistics center, obtains the basic data of the business process, optimizes the petri net model, and puts forward the operational business process, which is helpful to the improvement of the management level of the railway logistics center. This paper summarizes the related theories of railway logistics, business process reengineering and optimization algorithm, analyzes the background, purpose and significance of the construction of railway logistics center, and collects relevant business process information through investigation and investigation. The emphasis of railway logistics center process reengineering is on the rational application of existing resources to form a better and operational business process. This paper analyzes the construction of railway logistics center and its current business process, through the abstract extraction of the process, analyzes the problems of its village, and then uses petri net to model the business process. According to the characteristics of the model, genetic algorithm is selected to optimize the solution, and the structure of the genetic algorithm is used to set and encode the parameters of the model, and the objective function and fitness function of the combination of benefit and cost are constructed. To solve the model and combine with the model to interpret the optimal solution, the optimization process is put forward. The first chapter of this paper introduces the background and significance of this study, domestic and foreign research trends, as well as the main content and structure of this paper. In the second chapter, the business process of railway logistics center is combed, and the existing problems and optimization ideas are summarized. In the third chapter, we introduce the service-oriented petri net model, select the petri net model suitable for process optimization, construct the petri net model based on the business process, and explain the index and structure of the model. In chapter 4, genetic algorithm is used to encode the model, and the general coding and special coding of the model are described. In the fifth chapter, an example of railway logistics center business process is calculated, and the optimization method is explained. The sixth chapter optimizes the whole process of railway logistics center, and explains the optimization point and the expected result. According to the optimization mode of railway logistics, the characteristics of the model and the problems existing in the optimization method, chapter 7 puts forward that the perfect scheme for optimizing the business process of railway logistics center should adopt the idea of dynamic process management. The process optimization mode of dynamic process management based on the combination of human and process is put forward. The innovation of this paper is that a flexible process coordination method is proposed by analyzing the process characteristics of railway logistics center, establishing the matching process model, and optimizing the target by using genetic algorithm.
【學位授予單位】：西南交通大學
【學位級別】：碩士
【學位授予年份】：2012
【分類號】：F532;F259.2;F224

【引證文獻】

相關碩士學位論文 前1條

1 張妍;基于Petri網的A企業(yè)區(qū)域分撥中心倉儲作業(yè)流程優(yōu)化[D];北京交通大學;2013年

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本文編號：2465495