D電商企業(yè)廣告物料訂購(gòu)研究
本文選題:動(dòng)態(tài)批量 切入點(diǎn):多產(chǎn)品聯(lián)合訂購(gòu) 出處:《東華大學(xué)》2017年碩士論文 論文類型:學(xué)位論文
【摘要】:隨著電子商務(wù)的興起,廣告物料在電商企業(yè)大范圍應(yīng)用。與傳統(tǒng)行業(yè)相比,電商行業(yè)廣告物料訂購(gòu)分散、頻繁,導(dǎo)致物料訂購(gòu)成本高昂。根據(jù)電商行業(yè)廣告物料訂購(gòu)問(wèn)題,以D電商企業(yè)為例,本文提出常規(guī)POP(point of purchase)廣告物料多產(chǎn)品聯(lián)合訂購(gòu)策略,在保障D公司物料需求的前提下,實(shí)現(xiàn)降低訂購(gòu)成本的目的。首先,分析D公司常規(guī)POP廣告物料的運(yùn)作狀況,概括出POP廣告物料確定性、離散性、不穩(wěn)定性等需求特點(diǎn)。針對(duì)這一需求特點(diǎn),建立基于價(jià)格折扣的POP廣告物料單產(chǎn)品動(dòng)態(tài)批量訂購(gòu)模型,研究最優(yōu)的訂購(gòu)時(shí)間、訂購(gòu)批量和訂購(gòu)成本等訂購(gòu)策略,并運(yùn)用動(dòng)態(tài)規(guī)劃算法求解模型。進(jìn)一步,基于單產(chǎn)品動(dòng)態(tài)批量模型,再建立POP廣告物料多產(chǎn)品聯(lián)合訂購(gòu)動(dòng)態(tài)批量模型,并采用遺傳算法求解模型;诙喈a(chǎn)品動(dòng)態(tài)批量訂購(gòu)模型,增加資金約束深入研究。其次,開(kāi)展了實(shí)際算例分析。將D公司實(shí)際數(shù)據(jù)代入模型,驗(yàn)證提出的POP廣告物料動(dòng)態(tài)批量訂購(gòu)模型及相關(guān)算法的科學(xué)性和合理性,優(yōu)化D公司訂購(gòu)策略。分析計(jì)算原始訂購(gòu)、按月訂購(gòu)、單產(chǎn)品動(dòng)態(tài)批量訂購(gòu)和多產(chǎn)品聯(lián)合訂購(gòu)下的四種策略和成本,以及價(jià)格折扣率和總金額折扣臨界值與總成本的關(guān)系。并基于多產(chǎn)品動(dòng)態(tài)批量訂購(gòu)模型分析四類物料價(jià)格變化對(duì)訂購(gòu)策略和訂購(gòu)成本的影響。最后,本文得到的研究結(jié)論是:四種訂購(gòu)策略均能滿足D公司需求,總成本依次遞減,POP廣告物料多產(chǎn)品聯(lián)合訂購(gòu)策略比原始訂購(gòu)策略能夠降低成本。總成本降低是基于再訂購(gòu)成本和采購(gòu)成本的縮減,本質(zhì)上由于訂購(gòu)次數(shù)減少和價(jià)格折扣增多。因而,POP廣告物料多產(chǎn)品聯(lián)合訂購(gòu)策略能夠有效地降低D公司POP廣告物料成本。根據(jù)總成本與價(jià)格折扣率和總金額折扣臨界值的函數(shù)關(guān)系,調(diào)整這兩個(gè)參數(shù)值可在保障需求的同時(shí)滿足資金約束。手冊(cè)類最優(yōu)訂購(gòu)批量對(duì)價(jià)格波動(dòng)最敏感,其余物料最優(yōu)訂購(gòu)批量幾乎不受價(jià)格波動(dòng)影響,訂購(gòu)總成本與價(jià)格波動(dòng)不具有特定函數(shù)。
[Abstract]:With the rise of electronic commerce, advertising materials are widely used in e-commerce enterprises. Compared with traditional industries, the order of advertising materials in e-commerce industry is scattered and frequent, which leads to the high cost of ordering materials. According to the problem of ordering advertising materials in e-commerce industry, Taking D e-commerce enterprise as an example, this paper puts forward the joint ordering strategy of common POP(point of purchase material, which can reduce the order cost under the premise of guaranteeing D company's material demand. This paper analyzes the operation status of the conventional POP advertising materials in D Company, and generalizes the characteristics of the POP advertising materials, such as certainty, discreteness, instability and so on. The dynamic batch ordering model of single product of POP advertisement material based on price discount is established, and the optimal ordering time, order batch and order cost are studied, and the dynamic programming algorithm is used to solve the model. Based on the single product dynamic batch model, the dynamic batch model of POP advertising material and multi-product joint ordering is established, and the genetic algorithm is used to solve the model. Based on the multi-product dynamic batch ordering model, the financial constraints are further studied. A practical example analysis is carried out. The actual data of company D is put into the model to verify the scientificity and rationality of the proposed dynamic batch ordering model of POP advertising materials and related algorithms, and the ordering strategy of D company is optimized, and the original order is analyzed and calculated. Four strategies and costs for monthly ordering, single product dynamic batch ordering and multi-product joint ordering, And the relationship between the discount rate of price and the critical value of the total amount discount and the total cost. Based on the dynamic batch ordering model of multi-product, the influence of the price changes of four kinds of materials on the ordering strategy and cost is analyzed. The conclusions of this paper are as follows: all four ordering strategies can meet the needs of D Company. The total cost is decreasing in turn. The combined ordering strategy for advertising materials and multi-products can reduce the cost compared with the original ordering strategy. The total cost reduction is based on the reduction of reorder cost and purchase cost. In essence, due to the decrease in the number of orders and the increase in price discounts, the joint ordering strategy of pop advertising materials and multi-products can effectively reduce the cost of POP advertising materials for company D. according to the total cost and price discount rate and the total amount discount, it can effectively reduce the cost of advertising materials in D Company. The functional relationship of the critical value, Adjusting these two parameter values can satisfy the financial constraints while safeguarding the demand. The optimal order batch of manual class is the most sensitive to price fluctuation, while the optimal order lot of the remaining materials is almost unaffected by price fluctuation. Total order cost and price fluctuations do not have a specific function.
【學(xué)位授予單位】:東華大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:F274;F724.6
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 陳杰;陳志祥;;具有多元馬氏需求的易變質(zhì)多產(chǎn)品的EOQ模型[J];管理工程學(xué)報(bào);2016年04期
2 崔亮;;企業(yè)的EOQ應(yīng)用[J];信息系統(tǒng)工程;2016年09期
3 羅兵;李淑梅;周凌燕;;斜坡需求下延遲補(bǔ)貨的高科技產(chǎn)品EOQ模型[J];工業(yè)工程;2016年04期
4 何國(guó)文;邱國(guó)斌;周葉;汪懷忠;;基于EOQ模型的理論與應(yīng)用研究[J];物流科技;2016年08期
5 于赫;王忠吉;左圓圓;;基于EOQ模型的A公司庫(kù)存管理優(yōu)化研究[J];物流工程與管理;2016年07期
6 王葉峰;田中俊;;基于EOQ模型的服裝制造企業(yè)原材料庫(kù)存管理研究[J];現(xiàn)代管理科學(xué);2016年04期
7 張宇;;POP廣告對(duì)企業(yè)文化和購(gòu)物環(huán)境的影響[J];中國(guó)民族博覽;2016年03期
8 楊善林;許廣繁;王曉佳;楊昌輝;;隨機(jī)補(bǔ)貨間隔且存貨影響銷售的變質(zhì)品EOQ模型[J];系統(tǒng)工程學(xué)報(bào);2016年01期
9 張雅莉;;POP廣告設(shè)計(jì)發(fā)展趨勢(shì)及其傳播方式創(chuàng)新研究[J];科技與創(chuàng)新;2015年23期
10 班文杰;李小申;;一種新的帶價(jià)格折扣的EOQ模型[J];洛陽(yáng)師范學(xué)院學(xué)報(bào);2015年08期
相關(guān)會(huì)議論文 前1條
1 饒曉;;考慮通貨膨脹與資金時(shí)間價(jià)值貼現(xiàn)影響的動(dòng)態(tài)批量問(wèn)題[A];管理科學(xué)與系統(tǒng)科學(xué)進(jìn)展——全國(guó)青年管理科學(xué)與系統(tǒng)科學(xué)論文集(第4卷)[C];1997年
相關(guān)博士學(xué)位論文 前3條
1 師悅;改革開(kāi)放以來(lái)中國(guó)廣告設(shè)計(jì)發(fā)展研究[D];蘇州大學(xué);2014年
2 易東波;基于不確定性時(shí)變需求的動(dòng)態(tài)批量決策研究[D];華中科技大學(xué);2012年
3 梁志杰;聯(lián)合補(bǔ)充庫(kù)存問(wèn)題的模型及算法研究[D];西南交通大學(xué);2005年
相關(guān)碩士學(xué)位論文 前5條
1 莫東雪;非穩(wěn)定需求條件下合理庫(kù)存研究[D];華北電力大學(xué)(北京);2016年
2 趙青;大眾點(diǎn)評(píng)網(wǎng)商業(yè)模式分析[D];廣東外語(yǔ)外貿(mào)大學(xué);2015年
3 班文杰;帶有價(jià)格折扣的經(jīng)濟(jì)訂貨量模型[D];河南科技大學(xué);2015年
4 楊文霞;基于禁忌搜索算法的多產(chǎn)品動(dòng)態(tài)批量問(wèn)題研究[D];南開(kāi)大學(xué);2013年
5 黃欣;考慮多品種商品及兩種訂購(gòu)方式情況下的庫(kù)存問(wèn)題[D];合肥工業(yè)大學(xué);2005年
,本文編號(hào):1557956
本文鏈接:http://sikaile.net/jingjilunwen/guojimaoyilunwen/1557956.html