Drop-Shipping in Retailer-Oriented Dual-Channel Supply Chain Based on Customer Channel Preferences Shan Yu1, Ming-rong Deng2 Department of Management, Zhejiang University, Hangzhou, China (jhyushan@gmail.com) Abstract - Nowadays, Drop-shipping plays an important role in e-commerce. With the growing popularity of online shopping, traditional retail enterprises have established online stores, to expand sales and compete with online retailers. Under the circumstances, the paper studies whether retailer can make profits using drop-shipping in dual-channel supply chain based on customer channel preferences. Make some contributions to traditional retail enterprises better using drop-shipping in online sales. Keywords - drop-shipping; dual-channel supply chain; channel preferences; Channel selection I. INTRODUCTION The Drop-shipping is applied to online sales with the development of e-commerce. Retailers receive online orders, then suppliers who saves the products directly send them to consumers according to retailers’ orders. The emergence of e-commerce greatly reduces information exchange cost between suppliers and retailers in drop-shipping. Drop-shipping has some advantages compared with the traditional model which retailers hold inventory. Retailers can reduce inventory costs, transportation costs and under-stock cost, while suppliers can increase sales, reduce advertising and other marketing costs. It is very popular in the online sales because of these advantages. According to the survey, 30.6 percent of online retailers use the drop-shipping as their primary way to fulfill order, while 44.5 percent as an alternative way[1]. Spun.com Corporation (CD retailer) avoided $8 million in inventory investment using drop-shipping. Amazon.com, through the drop-shipping channel, sells mobile phones, computers and unpopular books [2]. It is clear that drop-shipping has played an important role in e-commerce. With the growing popularity of online shopping, large traditional retail enterprises, such as Suning, Gome, Intime, have set up online store, to expand sales and compete with online retailers. Under the background of traditional retailers opening up online store, the paper establishes dual-channel supply chain including traditional channel and online channel, studying whether the retailer can make profits using drop-shipping. Hope to make some contributions to traditional retailers better using drop-shipping in online sales. II. LITERATURE REVIEW Drop-shipping is first proposed in the marketing field which focuses on qualitative analysis. Quantitative analysis mainly concerns three aspects----channel selection strategy, inventory strategy and supply chain coordination. In inventory strategy, Khouja(2001) proposed the mixed inventory model of the retailer, which the retailer holds inventory and use drop-shipping at the same time, to circumvent the shortcomings of drop-shipping, such as higher transportation costs and longer delivery time[3]. Lee and Chu(2005) pointed out that the retailer pushing the risk of inventory to supplier does not necessarily increase its profits as well as decrease the profits of suppliers[4]. Bailey and Rabinovich(2005) find that when the retailer's market share rises, retailers should use both the traditional and drop-shipping channel. When the products’ popularity is high, the retailer should be more dependent on traditional channel[5]. Ayanso et. al(2006) use Monte carlo simulation model to study the optimal inventory rationing strategies for retailers using drop-shipping[6]. Khouja et al(2009) studied the impact of drop-shipping model on non-perishable inventory system, and proposed two (Q,R) inventory models that allow a retailer to use drop-shipping in case of a shortage during lead-time[7]. Liu and Wang(2008) analyse threshold level inventory rationing policies when retailer uses its own inventory and drop-shipping to fulfill orders[8]. In the supply chain coordination, Netessine and Rudi(2001) proposed that the supplier pay for a part of retailers’ marketing costs, while the retailer compensates for the surplus of supplier at the end of the season[2]. Yao et al(2008) study the profit sharing between retailer and supplier under drop-shipping model, and analyses the relationship between order fulfillment and profit sharing. They put forward countermeasures to improve the quality of order fulfillment[9]. Gan, et al.(2010) studied commitment-penalty contracts in drop-shipping supply chains coordination with asymmetric demand information. Thus, the supplier can obtain the retailer's demand information, and maximize the expected profit[10]. Li(2006) analyzed drop-shipping supply chain coordination with one supplier and multiple retailers, and discuss existence and uniqueness of Nash equilibrium[11]. In channel selection, Netessine and Rudi (2001) found that the structure of the supply chain power influences inventory decision-making and supply chain profit. They point out both channel members prefer drop-shipping agreements over the traditional agreements for a wide range of problem parameters[2]. Netessine and Rudi (2006) analyses the channel selection with one distributor and multiple retailers. Through modeling and analysis, they obtained optimal channel selection policy in a certain range of parameters, including demand uncertainty, the number of retailers, wholesale prices and transportation costs. In addition, they improve the supply chain system using dual strategy, which combines drop-shipping with the traditional model. In detail, the traditional model is regarded as the main method to fulfill order, while drop-shipping as a backup[12]. However, all these studies are based on a single channel or dual-channels with identical demand distribution assumptions. However, Kacen,et al.(2002) analyses the customer preferences between the traditional and online stores, and propose the customers have channel preferences[13]. Chiang and Monahan(2005) studied the dual-channel supply chain inventory decisions based on different market demand in the traditional retail channels and direct sales channels[14]. Xiao et al.(2009) study the optimal inventory policy and admission policy when retailer sells through its own physical and online stores, also sells through third-party websites by means of affiliate programs[15]. Under the background of traditional retailers developing online channels, the total customer demand splitting into two channels is more realistic. Therefore, we study the conditions of large retailers adopt drop-shipping based on this branch. III. ANALYTICAL MODEL We model a supply chain with two echelons: one supplier and one dominant retailer. In traditional channel, the retailer holds inventory to meet the physical retail store market demand, while in online channel, the retailer use drop-shipping to sell goods. Under the framework of newsvendor model, the retailer faces different customer in traditional and online channel. Customers of the two channels are not interchangeable, that is, customers have channel preferences. Some customers choose traditional channel due to its value-added services, while others choose online channel because of its convenience. If their needs can’t be met, they may choose other alternatives in the same channel. In addition, the consumers online is more concerned about the trend of price, preferring to wait for discounts, which is different from customers in traditional stores[16]. Therefore, we assume that the two channels has different demand distribution function. Based on the customer preference, retailer develops online channels will reduce the customer demand of the physical store. It is necessary to study whether the retailer can use network channel to make more profits. Compared with traditional model which retailer holds inventory, this article studies the channel selection strategy of dominant retailer and supplier, analyzing the impacts of some parameters on channel selection, such as the demand preferences, wholesale prices, retail prices, production costs and other parameters. A. Notations and assumptions The total customer demand is X . The probability distribution and density function of the demand is F () and f () . The total customer demand is split into two channels. The traditional channel customer demand is X1 , distribution and density are F1 () and f1 () . The online channel customer demand is X 2 , distribution and density are F2 () and f 2 () . X 1 aX , X 2 bX ,and a b 1. In traditional model, the retailer orders q; In drop-shipping, in the traditional channel retailer orders q1 with price w . In online channel, retailer orders quantity q2 with price w .A reasonable drop-shipping contract should contain a higher wholesale price than the traditional channel because the supplier will bear the transportation costs and inventory risk. In reality, w is usually 10% -20% higher. The selling price is p, the supplier production cost is c, and the cost of understock and overstock are 0. B. Traditional model In traditional model, retailer orders q at the beginning of selling season and holds inventory. R 0 、 S 0 、 T 0 are the profits of supplier, retailer and total supply chain. To simplify the problem, we assume X is uniform distribution in 0,u . The distribution and density function are F ( x) x 0, u . The order f ( x) quantity is 1 u for q p w . Thus, u ( p w) ) R 0 p 2p u ( w c)( p w) , u ( p w)( p w 2c) . T 0 2p p where S 0 optimal and x u q u ( , 2 , C. Drop-shipping model Retailer use drop-shipping in online channel. Supplier determines their production, that is, the number of products for online sales. x 1 F1 ( x) , f1 ( x) au au F2 ( x ) x 1 , F2 ( x) bu bu Retailer first determines order quantity q1 in traditional channel, then supplier determines production quantity qs .Thus, production quantity online q2 , where q2 qs q1 . The profits of retailer and supplier are R1 , S 1 , where q1 q2 0 0 R1 ( p w)q1 p F1 ( x)dx ( p w)(q2 F2 ( x)dx) q2 S1 (w c)q1 w(q2 F2 ( x)dx) cq2 0 The optimal order quantity in traditional and online channel is q1 , q 2 , where w c pw ) ) , q2 bu ( w p au ( p w)2 bu ( p w)(w2 c 2 ) R1 2p 2w2 au (w c)( p w) bu (w c)2 S1 p 2w q1 au ( T1 IV. au( p w)( p w 2c) bu(w c) w( p c) c( p w) 2p 2w2 (1) Conditions of increasing retailer’s profits Define R R1 R 0 as the payoff when retailer adopted drop-shipping, where bu p( p w)( w2 c 2 ) w2 ( p w)2 R 2 pw2 Proposition 1: Retailer’s expected profits will increase when adopting drop-shipping if p( p w)(w2 c 2 ) w2 ( p w)2 0 . Especially when w w , the condition can be simplified as w3 pc 2 . (2) Conditions of increasing retailer’s profits Define S S1 S 0 as the payoff when supplier adopted drop-shipping, where bu p(w c)2 2w(w c)( p w) S 2 pw Proposition 2: Retailer’s expected profits will increase when adopting drop-shipping if p(w c)2 2w(w c)( p w) 0 . Especially when w w , the condition can be simplified as ( w c)(2w2 pw pc) 0 . (3) Conditions of increasing both of their profits Situation 1: Both of their profits increase. Under the circumstance, the two conditions R1 R 0 and S1 S 0 should be satisfied, ie: 2 2 2 2 p ( p w)( w c ) w ( p w) 0 (1) 2 (2) p ( w c) 2w( w c)( p w) 0 and 2w( p w) p w , w( w c) wc EXAMPLE Suppose a 0.3 , b 0.7 , u 10000 , c 30 , w 150 , w 180 , p 300 . The payoff of retailer adopting drop-shipping is R , where R 62500 . For supplier, the payoff is S , where D. Conditions of selecting drop-shipping model Proposition 3: If S1 S 0 Define T T1 T 0 as the payoff of total supply chain when adopting drop-shipping, where bu(w c) w( p c) c( p w) bu( p w)( p w 2c) T 2w2 2p Proposition 4: The supply chain’s expected profits will increase when adopting drop-shipping if T 0 . Especially when w w , the condition can be simplified as w3 ( w 2c) pc 2 ( p 2w) . R1 R 0 . Especially when w w , If S1 S 0 , R1 R 0 . If R1 R 0 and w( w c) 2( w c) , R1 R 0 . w c Situation 2: Profit of total supply chain increases, and divides to both parts. S 7500 . Under this condition, both parties will prefer to adopt drop-shipping. In addition, we can find the relationship between a , b , c , w , w or p and R , S or T . For example, the relationship between w and R is as follows: 5 R 1 x 10 0.5 0 -0.5 -1 -1.5 60 80 100 120 Fig. 1. Relationship between 140 160 w and R 180 w . Because of the limited space, we will not enumerate all the relationships of each other. Several conclusions will be given in part V. V. CONCLUSIONS Compared the drop-shipping model with traditional retailers hold inventory model, this paper have found the condition when supplier and retailer will choose drop-shipping in retailer dominant dual-channel supply chain. First of all, for the products with relatively high wholesale price and low production costs, retailers and suppliers are preferred drop-shipping. For suppliers, it assumes the risk of holding inventory, lower production decreases the risk. For retailers, higher wholesale price increase their risk of holding inventory, so they also prefer drop-shipping. Secondly, the proportion of demand preferences between the different channels does not affect the drop-shipping choice, but if the choice is made, the proportion has positive correlation to the profit. In addition, if the suppliers can use drop-shipping to increase profits, then the retailers will also make profits in a wide range of parameters. Hope that these findings can provide some guidance to retailers for channel selection strategy. However, there are some limitations of the study. Firstly, based on the demand distribution of uniform distribution assumption, we don’t get more general conclusions under other demand distribution. Secondly, the customers have channel preferences, but sometimes they will change for the products they want are out of stock. Thirdly, the studies of supply chain coordination in drop-shipping is not rich. Nowadays, drop-shipping has been widely used in practice. So it is very important and necessary to study drop-shipping in dual-channel supply chain. REFERENCE [1]Rabinovich, E.. Consumer direct fulfillment performance in Internet retailing: Emergency transshipments and demand dispersion[J]. Journal of Business Logistics,2005,26(1):79-113 [2]Netessine, S. & N.Rudi. Supply chain structures on the Internet: Marketing-operations coordination under drop-shipping[R]. 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