本文選題：揀選作業(yè) + 訂單分批　； 參考：《昆明理工大學》2016年碩士論文

【摘要】：隨著社會經(jīng)濟和科學技術的飛速發(fā)展,電子商務經(jīng)歷了不斷地創(chuàng)新與成長,百姓的消費需求變得多種多樣,消費習慣也在潛移默化中發(fā)生改變。由曾經(jīng)的少品種大量消費模式漸漸地向少量多品種的消費模式轉變,由過去的在實體店進行消費的模式逐漸地向“線下體驗+線上購買”的體驗消費模式方向發(fā)展,在線消費日漸成為廣大消費者的首要選擇。為了應對市場需求的改變,電商經(jīng)營者必須調整公司運營以適應該消費模式下產(chǎn)生的混合訂單、更短的響應周期、更高的生產(chǎn)能力、更可靠快速的物流配送服務等特點。在此形勢下,電商經(jīng)營者逐漸開始建設自己的配送中心。電商配送中心的揀選作業(yè)通常是勞動力最密集(人工揀選作業(yè)系統(tǒng))或資金最密集(自動揀選作業(yè)系統(tǒng))的作業(yè),也就是所有作業(yè)中成本最高的作業(yè)。若想降低電商配送中心的整體運營成本,提高運營效率,從揀選作業(yè)入手改進,能夠得到事半功倍的效果。針對揀選作業(yè)優(yōu)化問題,本文結合國內的相關理論研究與生產(chǎn)實踐,并對國外的研究狀況進行了梳理,參考其它學科的方法和理念,系統(tǒng)地進行了研究。本文將從揀選作業(yè)的全過程中,挑選出核心環(huán)節(jié)——訂單分批問題與揀選路徑優(yōu)化問題,采取定性與定量結合,定量研究為主,通過構建數(shù)學模型、系統(tǒng)聚類算法分析、算法優(yōu)化、算例分析以及實證分析來展開研究。主要研究內容如下：(1)訂單分批問題建模及優(yōu)化方法研究。以所有批次總相似程度最大為目標建立了數(shù)學模型,對該問題進行系統(tǒng)聚類算法分析,然后對訂單進行合理地分批。(2)揀選路徑問題建模及優(yōu)化方法研究。在訂單分批問題研究基礎上,以總揀選路徑最小為目標建立數(shù)學模型,系統(tǒng)考察配送中心揀選路徑的各種啟發(fā)式策略,設計了混合粒子群算法與啟發(fā)式策略相結合的優(yōu)化方法,然后求出優(yōu)化路徑。(3)通過對K醫(yī)藥企業(yè)物流中心實際工程問題的研究,驗證本文方法在處理工程實際問題中的有效性。結果顯示,本文的相關研究為電商配送中心的揀選作業(yè)優(yōu)化提出了一種新的思路和方法,較傳統(tǒng)揀選作業(yè)方法有明顯改善,為電商配送中心建設提供一定理論指導,不失為一種有益的嘗試,具有一定的工程意義。
[Abstract]:With the rapid development of social economy and science and technology, e-commerce has experienced continuous innovation and growth, the consumer demand of the people has become diverse, consumption habits are also changing in the subtle change. From the consumption pattern of a large number of once few varieties to the consumption pattern of a few and more varieties, and from the past consumption pattern in the physical store to the experience consumption mode of "offline experience online purchase", it has gradually changed to the direction of experience consumption mode of "offline experience online purchase". Online consumption is becoming the primary choice for consumers. In order to cope with the change of market demand, e-commerce operators must adjust their operations to meet the characteristics of mixed orders, shorter response periods, higher production capacity and more reliable and rapid logistics and distribution services. In this situation, e-commerce operators gradually began to build their own distribution center. The picking operation of e-commerce distribution center is usually the most labor-intensive (manual picking operation system) or the most capital intensive (automatic sorting operation system), that is, the most cost of all operations. If we want to reduce the overall operating cost of e-commerce distribution center, improve the operation efficiency, start from the sorting operation, we can get twice the result with half the effort. Aiming at the optimization problem of picking operation, this paper combines the domestic relevant theory research and production practice, and combs the research status abroad, referring to the methods and concepts of other disciplines, systematically studies. From the whole process of picking, this paper will select the key link, order batch problem and picking path optimization problem, adopt the combination of qualitative and quantitative, quantitative research, through the construction of mathematical model, systematic clustering algorithm analysis. Algorithm optimization, case analysis and empirical analysis to carry out the research. The main research contents are as follows: 1) Modeling and optimization method of order batch problem. Aiming at the maximum similarity of all batches, the mathematical model is established, and the systematic clustering algorithm is used to analyze the problem. Then, the modeling and optimization method of the order picking path problem is studied. Based on the research of order batch problem, a mathematical model is established with the goal of minimum total picking path, and various heuristic strategies of picking path in distribution center are systematically investigated, and a hybrid particle swarm optimization method combining with heuristic strategy is designed. Then find out the optimization path. 3) through the study of the actual engineering problem of the logistics center of K pharmaceutical enterprise, verify the effectiveness of this method in dealing with the practical engineering problems. The results show that the related research in this paper provides a new way of thinking and method for the optimization of the sorting operation of the e-commerce distribution center, which is obviously improved compared with the traditional sorting operation method, and provides some theoretical guidance for the construction of the e-commerce distribution center. It is a beneficial attempt and has certain engineering significance.
【學位授予單位】：昆明理工大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：F724.6;F252.1
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本文編號：1959724