【摘要】：生鮮電商發(fā)展越來(lái)越成熟,生鮮冷鏈配送市場(chǎng)也隨之興起,引領(lǐng)物流產(chǎn)業(yè),在眾多生鮮電商的發(fā)展中,運(yùn)輸配送環(huán)節(jié)備受關(guān)注,不僅關(guān)乎配送成本,也影響到末端消費(fèi)者的時(shí)間滿意度。所以線下社區(qū)店布局,利用O2O的優(yōu)勢(shì)來(lái)發(fā)展維護(hù)現(xiàn)有消費(fèi)客戶,提升用戶體驗(yàn)的做法被越來(lái)越多的專家和企業(yè)所認(rèn)同,甚至已經(jīng)開(kāi)始了市場(chǎng)探索和嘗試。而在生鮮電商O(píng)2O模式的探索過(guò)程中,線下社區(qū)店的布局選址則變成了最重要的問(wèn)題。本文研究生鮮電商社區(qū)店的布局選址問(wèn)題,針對(duì)傳統(tǒng)商業(yè)設(shè)施選址問(wèn)題研究成果在需求覆蓋程度和服務(wù)時(shí)間體現(xiàn)的不足,文章利用最大覆蓋選址模型和服務(wù)覆蓋路徑概念解決需求覆蓋和服務(wù)時(shí)間的問(wèn)題。生鮮電商社區(qū)店的選址問(wèn)題和傳統(tǒng)商業(yè)設(shè)施選址及公共服務(wù)設(shè)施選址存在差異,通過(guò)對(duì)比傳統(tǒng)選址方法中各類影響因素分析,部分影響因素存在關(guān)聯(lián)性,總結(jié)出本文社區(qū)店選址內(nèi)外部影響因素,主要考慮影響因素為人口規(guī)模、人口結(jié)構(gòu)、收入水平,通過(guò)具體數(shù)據(jù)分析得到對(duì)應(yīng)影響系數(shù)α、β、m,每個(gè)影響因素在計(jì)算各社區(qū)電商需求量時(shí)起決定作用,根據(jù)影響系數(shù)計(jì)算出每個(gè)需求點(diǎn)的需求量。需求量是最終的目標(biāo)最優(yōu)決策依據(jù),同時(shí)社區(qū)店選址考慮到建設(shè)成本和建設(shè)數(shù)量等約束條件,使用最大覆蓋模型滿足所有需求點(diǎn)被社區(qū)店覆蓋,同時(shí)滿足覆蓋的需求量最大。本文在建模的過(guò)程中考慮到生鮮電商的特性和消費(fèi)者需求,融入了消費(fèi)者的時(shí)間滿意度,在判斷社區(qū)覆蓋與否時(shí)提出覆蓋路徑概念。由于提供配送服務(wù)速度和距離已知,根據(jù)配送速度和配送距離來(lái)確定每個(gè)點(diǎn)之間的配送時(shí)間,以時(shí)間為消費(fèi)者服務(wù)滿意的判斷標(biāo)準(zhǔn),時(shí)間越短滿意度越高,當(dāng)時(shí)間超出預(yù)定的范圍,判定該區(qū)域不在覆蓋范圍內(nèi)。本文通過(guò)定性分析和定量分析相結(jié)合,給出了適用該領(lǐng)域的最大覆蓋選址模型,從時(shí)間和覆蓋路徑角度重新定義了該模型,并通過(guò)具體案例求解,給出最優(yōu)方案。
[Abstract]:The development of fresh e-commerce is becoming more and more mature, and the fresh cold chain distribution market is also rising, leading the logistics industry. in the development of many fresh e-commerce, transportation and distribution links have attracted much attention, which is not only related to the cost of distribution. It also affects the time satisfaction of end consumers. Therefore, the offline community store layout, using the advantages of O2O to develop and maintain existing consumer customers, improve the user experience has been recognized by more and more experts and enterprises, and has even begun to explore and try the market. In the process of exploring the O2O model of fresh e-commerce, the layout and location of offline community stores has become the most important problem. In this paper, the layout and location of fresh ecommerce community stores is studied, and the research results on the location of traditional commercial facilities are insufficient in the degree of demand coverage and service time. In this paper, the maximum coverage location model and the concept of service coverage path are used to solve the problem of demand coverage and service time. There are differences between the location problem of fresh e-commerce community store and the location of traditional commercial facilities and public service facilities. By comparing all kinds of influencing factors in the traditional location method, some of the influencing factors are related. This paper summarizes the internal and external factors of community store location, mainly considering the population size, population structure, income level, through the specific data analysis to obtain the corresponding influence coefficients 偽, 尾, m, Each influencing factor plays a decisive role in calculating the demand of e-commerce in each community, and the demand of each demand point is calculated according to the influence coefficient. Demand is the final goal of the optimal decision-making basis, at the same time, considering the construction cost and construction quantity and other constraints, the maximum coverage model is used to meet all the demand points covered by the community store, and the demand to meet the coverage is the largest. In the process of modeling, considering the characteristics of fresh e-commerce and consumer demand, the time satisfaction of consumers is integrated, and the concept of coverage path is put forward when judging whether the community is covered or not. Since the speed and distance of providing distribution service are known, the distribution time between each point is determined according to the distribution speed and distribution distance, and the shorter the time is, the higher the satisfaction is. When the time exceeds the predetermined range, it is determined that the area is not covered. In this paper, through the combination of qualitative analysis and quantitative analysis, the maximum coverage location model suitable for this field is given, the model is redefined from the point of view of time and coverage path, and the optimal scheme is given by solving a concrete case.
【學(xué)位授予單位】：浙江工商大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：F326.6

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本文編號(hào)：2495040