邢唷> 欹)` 餜糮bjbj爿爿2伔伔甔 XXXXXXXl4448ll<6888885555555$7h2:5X5XX885RRRjX8X85R5RR3XX58, 莁閙*4^}45 60<64:Z:055&:X?5|rR%\55^<6lllD lll lllXXXXXX The study of retail enterprises chain Demand forecasting in the supply chain managementAbstract: Forecasting is an important content of demand management and the source and foundation of supply chain operations; it also is a starting point of the chain retail enterprise supply chain optimization demand management. Our chain retail enterprises want to reduce supply chain inventory, improve service levels, and improve the competitiveness of the enterprise in the fierce competition in the rapid reflect market demand, it must constantly improve the accuracy of demand forecasting. In this paper, by analyzing the present situation of our chain retail enterprises supply chain demand forecasting and the existing problems, expounds the demand forecast deviation to the serious consequences of the chain retail enterprises and the whole supply chain, and puts forward the methods and steps of improving demand forecasting accuracy. Keywords: chain retail supply chain demand forecastingSupply chain management and demand forecasting For chain retail enterprise, supply chain management is the modern management theory as the powerful weapon to achieve competitive advantage, it refers to chain retail enterprises as the leading enterprises of the supply chain, upstream or downstream through improved supply chain relationships, integrating and optimizing the flow of information in a supply chain, logistics, capital, quickly reflect the needs of customers, with right quantity, right quality, at the right place, right time, with the best cost and the right price for the goods production and sales. Chain retail enterprise supply chain demand forecasting is mainly refers to predict end consumers will buy products quantity. If demand forecasting and the actual demand difference are too big, they will have great influence on the supply chain operation, lead to increase the operating costs of the supply chain, reduce customer satisfaction, especially those with the change of market trends, and closely linked with the brand marketing and market events, greatly influenced by factors such as season, advertising, sales promotion product. Accurate demand forecasting can quickly reflect market demand, thereby reducing supply chain inventory, with the lowest cost to provide customers the best quality service to improve the competitiveness of the enterprises. Therefore, demand forecasting link running and optimization of the supply chain has a crucial role. 2. The analysis of the present situation of supply chain demand forecasting of chain retail enterprises 2.1 Ignore the demands of consumers Supply chain is run through the entire process of circulation of commodities, including raw material suppliers from starting, to production, to retailers, to various stores and supply of goods shelves, was eventually purchased by consumers and provide consumers with all related services processes, and includes some reason the above commodity flows in the opposite of the reverse process (such as income, the consumer returned merchandise, etc.) throughout the process. Throughout the process, all the links are from consumer demand to gradually complete. In this process, every step out of line will result in the entire supply chain issues, and even paralysis. Therefore, supply chain management should be consumer-centric, to predict consumer demand in the real concern basis. Classification of goods are disordered and duplicate Retail chains in the early stage of operation, the types of goods are less, so it is easy to manage, and therefore requires only a simple classification can operate. But now, with the development of reform and opening times, China has entered into the "material rich" state. With the types of goods increases, the difficulty of management is also gradually increasing. The majority of our retail chains category management is not yet mature, restricted the business management efficiency. Retailers found that the number of goods is not proportional to the sales performance and customer satisfaction. Store large increasing in the redundant goods did not provide the supplier sales growth, but by a lot of repetition and homogeneity commodity suppliers dilute the sales scale, making the enterprise overall sales growth did not provide the supplier sales scale of synchronous growth, and leading to scale did not increase enterprise benefit. As the growth of the number of stores and scale, the number of products and suppliers with sharp growth, and the commodity management ability and efficiency is declining, management cost is increasing. 2.3 Forecasting models are traditional and single Implementing category management is for the purpose of more effectively discover and meet the retailer's target shoppers, thereby improving performance, but a lot of chain retail enterprise when carries on the demand forecast, only pay attention to the prediction of a single product demand, did not predict according to category. The main cause of the problem in, distinguishing different category in different markets, stores, and the prediction information group is difficult, and enterprises have no choice when using these vast amounts of information. In reality, every store buying patterns are different, in different stores, the same type of product sales model is different, the prediction model of single goods cannot meet different category forecast requirements. Not enough scientific prediction method Demand forecasting methods mainly include qualitative forecast and quantitative forecast and integration of the two methods of prediction. At present most of the retail chains in history data as the basis of demand forecasting, also the effects of the promotion plans in demand forecasting. But there are still many small retail enterprises only by hand or experience. In most cases, only relying on manual work is difficult to accurately for demand forecasting, need some information tools to help enterprises to realize precise demand forecasting and optimal management. And from experience to predict, more cannot guarantee its accuracy. 2.5 The lack of coordination with suppliers Our chain retail enterprises and suppliers of cooperation are still in its infancy. Due to the emergence of new forms, the competitions between retailers are serious. Retailers continued to pursue efficiency and profit maximization. And invested heavily to develop its own brand, but due to the lack of professional production and manufacturing, own brand it is difficult to success; In the pursuit of scale advantage, quickly set up shop, set up their own distribution center, purchase of POS system, but since there is no common standards and IT language, logistics and information is hard to match the retailers and suppliers, scale advantage is difficult to establish, lead to low efficiency of supply chain, the overall costs. Although many our countries chain enterprises have applied VMI (Vendor Managed Inventory), due to the limited suppliers in upstream and downstream enterprises overall coordination level. The lack of cooperation consciousness leading to the supplier's inventory costs add and increase the risk of suppliers, so the VMI management pattern has not effectively under the mode of supply chain demand forecasting. 3. The consequences of demand forecasting deviating from the market The total supply chain inventory including in the warehouse, on distribution and inventory on the shelves. Demand forecasting is higher than the actual level of demand will bring enterprise backlog of inventory. The phenomenon is the "bullwhip effect". Due to the existence of the bullwhip effect, retail chains variation of demand forecasting errors in amplifier, thereby increasing its upstream manufacturers and suppliers of the production, supply, inventory management, and marketing of instability. High inventory not only reduce the cash flow, increase the operating costs, will slow market reaction speed, increase due to the product expired, the damage caused by the loss. Once an enterprise in the supply chain to improve the accuracy of the forecast, and a series of stable business plan, it can start smoothly carry out sales, production, distribution, or other operations, such as inventory, shipping, transportation, reverse logistics, service and other business, and improve efficiency. Reducing the service level Demand forecasting deviating from the market in improving part of the inventory, it at the same time can bring other goods out of stock. In 2003, the China association of chain management in collaboration with Roland Berger consultant抯 rate of Chinese goods out of stock, the survey found domestic retailers of goods shortage rate at about 10%. Whenever some goods out of stock, stores of other merchandise to tally staff would be displayed in the position of shortage of goods, caused the appearance of store shortage rate is low, so blinded by retail enterprise headquarters. Over the long term, the best-selling products on the shelves will be less and less, unsalable goods will be filled with, even if this kind of goods after the arrival of the goods, cargo handling personnel may also think display goods shelves have been selling goods in stock for a long time. Stakeout rate is one of the indicators measuring chain retail enterprise service level, the shortage rate is higher, the lower the service level. According to statistics, if all stores can guarantee the best goods in the frame rate, so every store increased average annual sales of up to 6.4 million Yuan. Loss of customers loyalty Demand forecast deviation to retailers can't provide timely and effective services according to customer requirements, leading to a loss of customers. For customers, many times to visit the stores found that no can choose goods, can transfer shopping place, this will lead to loss of traffic slowly like a best-selling goods stores, present obvious decline in sales. According to the survey, when out of stock, 37% of shoppers would choose to leave the store (among them, 6% of shoppers would immediately leave, go to another purchase, 31% of shoppers will go to another to buy this product, but to continue in the store to buy other commodities, it can cause damage to the store, create the sales opportunity for other competitors; 48% of shoppers will buy with alternative category, which is the loss of the manufacturer; And 15% of shoppers will give up to buy the goods, stores and manufacturers are losses. 4. Methods and steps to improve the demand forecast accuracy 4.1 setting up the forecasting model Chain retail enterprises need to consider the different category, different dimensions and different levels have different demand forecasting model. For example: in commodity level, according to the category, type of commodity, series, color or size to determine prediction unit? In channel level, a franchise or business should be considered? In the aspect of geographical location, is considered the national or regional or city? In different levels to establish different demand forecasting model can improve the accuracy of demand forecasting. Even at the same time analysis the influencing factors of demand forecasting, historical average, seasonal demand factors of demand forecasts, sales trend forecast, promotion factor prediction, etc., of course should also analyze the influence of other factors, and may extend to other factors. 4.2 Creating the fundamental forecasting According to the demand forecast model and the categories of features, choosing the proper demand forecasting method, a preliminary forecast the market demand of different goods in different regions or stores. For those selling time is long and relatively stable product sales, quantitative prediction technology can be used to analyze the sales history, thus confirming its development trend and future demand. 4.3 Management the powerful factors Due to many market factors (such as seasonal factors, promotion factors, certain events, etc.) have bigger influence on the predicted results, such as: food, clothing and other goods sales promotion sale, seasonal merchandise seasonal rigid demand growth, some events demand for related products, etc., which requires the enterprise when predicting must adjust based prediction, based prediction on the basis of the promotion information, season, cycle, competitive information, devouring effect, etc. 4.4 Constantly negotiate and reach a consensus on effective No matter use what method to get the prediction results, and the best across all levels of the supply chain business partners work closely together to improve the quality of prediction (for example: by intelligent trading platform ITE抯 or cooperative system between suppliers and retailers), between enterprises through advanced Internet and Web technology exchange and sharing of business information, the phase close to the prediction model and the method for prediction of constantly communicate their results, and on this basis, make more accurate prediction, the demand and supply. According to the consensus forecast of the demand, as a result, reach the formation of a consistent demand plan. Therefore, retail enterprises need a favorable supply agreement, and supplier over by retailers and suppliers evaluation and collaboration, both to reduce the intermediate links, maximize the process efficiency. At the same time, it will also bring to retail enterprises with the lowest cost of goods. 4.5 Performance review Due to the volatility of the market, and also rapidly changing demand, in the process of execution plan, the need for some unusual movements or on the basis of predicting the sharp change of manage and adjust in a timely manner, and constantly review and check the execution according to the circumstance of execution effect, gradually achieve optimization in continuous feedback, and constantly revised and provide accurate data for future business and optimized. 5. Case---- market research of 揜un Yan" 揜un Yan" is a P & G's original brand of shampoo, only for the Chinese market, the only series of products using Chinese native plant resources in P&G. Once upon a time, 揜un Yan" by P&G, think of it as a new growth points; Once upon a time, countless industry, outside of its advertising and image; Once upon a time we thought again black hair fluttering in the spring, but in 2002 it has been halted and than exiting the market, what's the matter? In the outside world seems to be a "sand" questionnaire, P&G people can see the "gold: real investigators faith is respondents casual - always hope their "has a black head of hair, a pair of watery big eyes" - isn't that what the model of the traditional Oriental beauty? By listing a lot of market research work before, P & G's "let your hair more black and bright, inner beauty do release 揜un Yan 抯 shampoo was born. There are many market researching works P&G doing before 揜un Yan existed in the market. 5.1"Worm" researching - zero distance observing the consumers A known as the "personal plan" of commercial market research quietly rolled out. Including then embellish changqing Huang, 揜un Yan 憇 brand manager, a dozen people separately to Beijing, Dalian, Hangzhou, Shanghai, Guangzhou and other places to choose eligible target consumers, and they have lived for 48 hours, "worm" investigation. From respondents in pajamas morning sleep dimly go to the bathroom, began to wash a face to brush their hair, wash hair makeup for the night, ladies life daily life, food, cosmetic, wash hair care habits panoramic view. Changqing Huang even careful ponders respondents character and inner world. In the survey, P&G found that consumers thought moist and vitality of the black hair is the most beautiful. P&G also through secondary data, a survey found that science has shown the following: Put a hair under a microscope, you will find that the hair is made up of many small skin, these are called cuticulapili material directly affect the appearance of the hair. The cuticulapili of the healthy hair neatly, and damaged hair, hair is tilted or broken skin, hair look yellow and dark. And nourishing ingredients can make the cuticulapili of embellish hair dew formation, and form a layer of protective film on the hair, effectively prevent the loss of moisture, complement hair moisture and nutrient, make hair smooth, shiny, smooth and more moist. At the same time, still can greatly reduce the fracture of the hair and embellish hair dew friction, make your hair meek hydrophobic easily. Procter & gamble company specializes in the related investigation and test, found that use the shampoo that contains no embellish hair dew the fracture index is 1 of the hair, shampoo containing embellish hair dew index was 0.3, and use the shampoo before using independent specialized embellish hair dew, fracture index is reduced to zero. China market research shows that, even in Beijing, other big cities like Shanghai and only about 14% of consumers will be used separately after using shampoo embellish hair products, the national average is less than 10%. In Europe and the United States, Japan, Hong Kong and other developed, in about 80% of consumers will use alone special embellish hair after shampoo products? This shows that most consumers do not know to domestic specialized necessity. Therefore, P&G launched擱un Yan the one hand is black hair concept to build a new brand of their own; another is the rapid expansion in the concept of mart. 5.2 Using test---according to consumer opinion to improve products According to consumer demand generally, P & G's Japanese technology center and he developed the flush type and disposable type two "Run Yan" embellish hair products. Products developed did not immediately after put on the market, but continue to let consumers do use test, and according to the requirements of consumers for product improvement. Finally to the market "Run Yan" is to join unique water embellishes herbal essence, especially suitable for the Oriental hair and hair color of black herbal embellish hair dew. 5.3 Packaging - set up simulation shelves to store for trial P & G company set up special simulated shelves, will their products with different brands, especially competitive brand of shampoo and embellish hair dew put together, let consumers to watch it over and over again, and then investigate what consumers remember and packaging, forget and what to hate packaging, and on the basis of further investigation and into. Finally 揜un Yan times to market black Chinese herbal medicine packaging emphasized specially designed for Oriental embellish hair dew, packaging with to be able to present the design of the unique water embellish herbal essence, packaging has also demonstrated in the fusion of eastern and western cultures. 5.4 Advertising - for consumers to choose their favorite ideas TV ads - P & G please first professional advertising company advertisement, taken a series of group leader for 6 minutes group consumers to watch again, let consumers choose they believe that the best 3 groups, in the end, summarized the meaning of the vast majority of consumers, the mysterious woman, hair picture in combination, such as ballet became 揜un Yan advertising. Advertising creative a dark-haired girl with Oriental charm is used to translate the charm of Oriental hair. Flowing black hair and girls eyes will "wash the lead China, advocate natural self's pure beauty of the east" performance incisively and vividly. AD music combination is fine, the modern melody with traditional Chinese instruments like the guzheng and pipa, further echo "Run Yan" product positioning modern Oriental beauty. 5.5 The online survey---timely feedback of consumer psychology Specifically, the use of computer technology characteristic, strengthen the visual impact, 揜un Yan logo through flash technology make flying green leaves, when users use the site columns then move on. By Run Yan brand icon link, greatly increase the opportunities for interaction of Run Yan brand and consumers. Yan is a suitable for use in Oriental brand, and some Chinese herbal medicine black ingredients, so on the home page design in black, white, grey, green this a few kinds of color, but is given priority to with black, grey, have the flavor of the Orient. Web site to establish the "Oriental beauty" and "nature" and "nursing hair" such as the theme of the inside pages, deepen Run Yan brand association degree. Through real-time feedback technology, so that you can know what consumers favorite color, what the topic, etc. 5.6 Regional trial - take the first step carefully Yan's first new product is the market in Hangzhou, is in the business battleground begin area within the scope of the pilot study. Actually, when choosing the first trial area. Hangzhou is a famous international tourist city, both the profound historical culture, and rich in traditional flavor, but also has distinctive modern breath by the edification of the both two kinds of flavor of Hangzhou women, with Run Yan to focus on shaping the modern and traditional combination of Oriental beauty image a beat us both. 5.7 Commissioned - comprehensive gathering information In addition, after the listing, P & G also entrust a third party professional research company do market research, through questionnaire survey, consumers symposium, one-on-one interviews or often go to the shopping habits of consumers in the shop, full of customers and dealers to collect the feedback. After three years of market research, to marketing Run Yan, P & G company spare no effort to brand appeal to target markets, public relations and advertising bombardment. But unfortunately, the market is flat, in the end quietly out of the market in 2002. 3 years of brewing experience, listing more than two years less than 3 years of product and so out of the market, people can not help but ask what causes such result? 6. Summary Accurate sales forecast benign to the enterprise marketing activities play an important role, however, sales is a process involving multiple industries and departments of activity, with more diverse consumption changes quickly and increase the difficulty of the sales forecast work. Sales forecast to achieve high accuracy, must pay attention to the standardization of the prediction process, the reliability of data mining and forecasting method is scientific. Matching supply and demand in the supply chain is a critical challenge. To reduce cost and provide the service level, it is important to take into account inventory holding and setup costs, lead time, and lead time variability and forecast demand.%&'WXYabcdo= 躕蒗櫓荊噇S8S8S8S8S8S4h+-qh2CJOJQJ^JaJfHo(q 1h+-qh2CJOJQJ^JaJfHq 4h+-qh9dCJOJQJ^JaJfHo(q 7h+-qh9d5丆JOJQJ^JaJfHo(q 4h+-qh9d5丆JOJQJ^JaJfHq .h+-qCJOJQJ^JaJfHo(q h2CJo(h+-qh5丆Jo(h+-qh25丆Jo(h+-qh25丆J&XY  Jh6Cx#*R"s$$-DM [$\$a$gd+-q & Fgd+-q & F gd+-q & Fgd+-qgd+-q$a$gd2甡籤= > b c  H I 逄碧睒癱癱樺|aE7h+-qh wCJOJQJ\乛JaJfHo(q 4h+-qh9dCJOJQJ\乛JaJfHq 7h+-qh9d5丆JOJQJ\乛JaJfHq 1h+-qh9dCJOJQJ^JaJfHq 4h+-qh9dCJOJQJ^JaJfHo(q 1h+-qh2CJOJQJ^JaJfHq 4h+-qh2CJOJQJ^JaJfHo(q    , - IJ gh閎惘葨z茹aFaFaFaFaFaFaF4h+-qhT CJOJQJ^JaJfHo(q 1h+-qhT CJOJQJ^JaJfHq 7h+-qh+-qCJOJQJ\乛JaJfHo(q 1h9dCJOJQJ\乛JaJfHo(q 1h+-qCJOJQJ\乛JaJfHo(q 4h+-qh9dCJOJQJ\乛JaJfHq 7h+-qh9dCJOJQJ\乛JaJfHo(q 56BC[inx逄睒}aTGT9T9T9T+h+-qh$ CJOJQJo(h+-qh CJOJQJo(h+-qh wCJOJQJh+-qh CJOJQJ7h+-qhT CJOJQJ\乛JaJfHo(q 4h+-qh CJOJQJ\乛JaJfHq 1h+-qCJOJQJ\乛JaJfHo(q 4h+-qhT CJOJQJ^JaJfHo(q 1h+-qhT CJOJQJ^JaJfHq 4h+-qh觤CJOJQJ^JaJfHo(q `#)*Q簀簀筘遑遑遑餞餞餞餞餞壗そU4h+-qh'%CJOJQJ\乛JaJfHq 1h+-qh'%CJOJQJ^JaJfHq 4h+-qh觤CJOJQJ^JaJfHo(q 1h+-qh癧xCJOJQJ^JaJfHq 4h+-qh癧xCJOJQJ^JaJfHo(q h+-qh$ CJOJQJh+-qh$ CJOJQJo(h+-qh CJOJQJQR  ce """"## #######閽腦腦腦墨膾w抴抴抴抴抴抆C4h+-qh觤CJOJQJ^JaJfHo(q 1h+-qh觤CJOJQJ^JaJfHq 4h+-qh'%CJOJQJ^JaJfHo(q 1h+-qh'%CJOJQJ^JaJfHq 0h+-qh'%OJQJ\乛JaJfHq h+-qh'%OJQJ^JaJo(h+-qh'%OJQJ^JaJ7h+-qh癧xCJOJQJ\乛JaJfHo(q #"###*#+#u#############r$s$u$嫠嫠矙~矙~矙~矙~櫜cG7h+-qh4CJOJQJ\乛JaJfHo(q 4h+-qh'%CJOJQJ^JaJfHo(q 4h+-qh2CJOJQJ^JaJfHo(q 1h+-qh2CJOJQJ^JaJfHq 1h+-qh'%CJOJQJ^JaJfHq 4h+-qh觤CJOJQJ^JaJfHo(q 1h+-qh觤CJOJQJ^JaJfHq u$v$$$$$$$$$$$%%%%(((嫠瘬zdLdLz1z1z14h+-qh鋁ACJOJQJ^JaJfHo(q .h+-qCJOJQJ^JaJfHo(q +h+-qCJOJQJ^JaJfHq 1h+-qh鋁ACJOJQJ^JaJfHq 7h+-qh2CJOJQJ\乛JaJfHo(q 7h+-qh鋁ACJOJQJ\乛JaJfHo(q 4h+-qh鋁ACJOJQJ\乛JaJfHq 1h+-qCJOJQJ\乛JaJfHo(q s$$((U-p-1=1b144r6688<<>>楢.B圔艬珽F{L$-DM [$\$a$gd+-q & Fgd+-qgd+-q((((((( ) ) )C)T-U-e-f-o-閎悱敪攞`攞璄)E7h+-qh4CJOJQJ\乛JaJfHo(q 4h+-qh4CJOJQJ\乛JaJfHq 4h+-qh4CJOJQJ^JaJfHo(q 1h+-qh4CJOJQJ^JaJfHq 1h+-qh鋁ACJOJQJ^JaJfHq 4h+-qh鋁ACJOJQJ^JaJfHo(q 4h+-qh鋁ACJOJQJ\乛JaJfHq 7h+-qh鋁ACJOJQJ\乛JaJfHo(q o-p---01<1@1L1Q1X1[1a1b1122z2{222224444q66閌瘮銛銛銛閌{`{`{`{`{`痐{`4h+-qh芢CJOJQJ^JaJfHo(q 1h+-qh芢CJOJQJ^JaJfHq 4h+-qh4CJOJQJ\乛JaJfHq 4h+-qh4CJOJQJ^JaJfHo(q 1h+-qh4CJOJQJ^JaJfHq 7h+-qh4CJOJQJ\乛JaJfHo(q 6668888999;;T;Z;;<<迨卞杬k_RkBkBk+k-h+-qhBOJQJ^JaJfHq h+-qhBOJQJ^JaJo(h+-qOJQJ^JaJo(h+-qOJQJ^JaJh+-qhBOJQJ^JaJ7h+-qhBCJOJQJ\乛JaJfHo(q 4h+-qhBCJOJQJ\乛JaJfHq 1h+-qhBCJOJQJ^JaJfHq 4h+-qh芢CJOJQJ^JaJfHo(q 4h+-qhBCJOJQJ^JaJfHo(q <<<<>>>>>>>>>>>>>>>迨畷鍟迨畓^畓^zE1h+-qh逳(CJOJQJ^JaJfHq 7h+-qh逳(CJOJQJ\乛JaJfHo(q 4h+-qh逳(CJOJQJ\乛JaJfHq 1h+-qhBCJOJQJ^JaJfHq 7h+-qhBCJOJQJ\乛JaJfHo(q 4h+-qhBCJOJQJ\乛JaJfHq 4h+-qhBCJOJQJ^JaJfHo(q >>>>>>??U?W?X?Y?Z?[?o?p?u?x?y?{?}?~????'@D@F@G@V@`@d@g@繞罖翤聾覢迨筆灞灞灞灞灞杬杬a蔭時時a時a時時a蔭時1h+-qh?8CJOJQJ^JaJfHq 7h+-qh?8CJOJQJ\乛JaJfHo(q 4h+-qh?8CJOJQJ\乛JaJfHq 1h+-qh逳(CJOJQJ^JaJfHq 4h+-qh?8CJOJQJ^JaJfHo(q 4h+-qh逳(CJOJQJ^JaJfHo(q &覢譆蹳轅桝楢葾蔄虯蜛BBBBBB-B.B/BDBLBgBhBoBpBqB逄程槼宄宄宄}沖沖bFbFbFbF7h+-qh?8CJOJQJ\乛JaJfHo(q 4h+-qh?8CJOJQJ\乛JaJfHq 4h+-qh縳'CJOJQJ^JaJfHo(q 4h+-qhBCJOJQJ^JaJfHo(q 1h+-qh?8CJOJQJ^JaJfHq 1h+-qh逳(CJOJQJ^JaJfHq 4h+-qh?8CJOJQJ^JaJfHo(q qB嘊圔婤態滲碆稡腂艬:C;C?C@CECICJCKCLCNC鼶﨑"E#E$E%EOEPEQESEjEpE獷珽瓻疎薊虴FFPF闈悻悻悻銚x搙搙搙搙搙搙搙搙搙搙搙4h+-qh縳'CJOJQJ^JaJfHo(q 1h+-qh縳'CJOJQJ^JaJfHq 4h+-qh縳'CJOJQJ\乛JaJfHq 7h+-qh?8CJOJQJ\乛JaJfHo(q 7h+-qh縳'CJOJQJ\乛JaJfHo(q (PFmFzF矲繤'GOG\G鐺隟鮇麷zL{L~LL凩塋孡㎜嫠菜叉隨隨隨梴gN3{34h+-qh1CJOJQJ\乛JaJfHq 1h+-qCJOJQJ\乛JaJfHo(q 'h+-qh1@CJKHOJQJaJo(7h+-qh1CJOJQJ\乛JaJfHo(q 4h+-qh縳'CJOJQJ^JaJfHo(q 1h+-qh縳'CJOJQJ^JaJfHq 4h+-qh1CJOJQJ^JaJfHo(q 1h+-qh1CJOJQJ^JaJfHq ㎜甃糒綥鍸隠BMIM.N5N荖薔OOOO O1O4OyPP丳侾㏎銺錛頠颭騋鬛HSOSPSQS籘糡耇閎惘敮敮敮斎銛瘮瘮瘮瘮瘮茹{`{`{`{`{`{4h+-qhhCJOJQJ^JaJfHo(q 1h+-qhhCJOJQJ^JaJfHq 4h+-qh1CJOJQJ^JaJfHo(q 1h+-qh1CJOJQJ^JaJfHq 4h+-qh1CJOJQJ\乛JaJfHq 7h+-qh1CJOJQJ\乛JaJfHo(q %{L綥萅O錛UOU揦芚蘘[赸錧砡玚琡璥甡癭盽砢碻禶穈筦篳籤糮gd4gd+-q耇芓跿釺鉚銽UU%U(UNUOU玌睻砋礥V$VlVtVX X扻揦梄臱芚`ZgZ薢蘘衂[[#[%[&[([e\m\o\p\s\t\賋赸輂逄逄逄灞暠曁逄逄逄逄}體暠曁逄鍟睍體體體體體體.h+-qCJOJQJ^JaJfHo(q 7h+-qhhCJOJQJ\乛JaJfHo(q 4h+-qhhCJOJQJ\乛JaJfHq 1h+-qhhCJOJQJ^JaJfHq 4h+-qhhCJOJQJ^JaJfHo(q .輂鉣鋆錧瞋砡確鸰黖N`猔玚琡逕瓟y攜攜^葽:h%B*CJOJQJ\乛JaJfHo(ph+++q 4h+-qh+-qCJOJQJ^JaJfHo(q 4h+-qh%CJOJQJ^JaJfHo(q 1h+-qh%CJOJQJ^JaJfHq 7h+-qhhCJOJQJ\乛JaJfHo(q 7h+-qh%CJOJQJ\乛JaJfHo(q 4h+-qh%CJOJQJ\乛JaJfHq 琡璥甡痐盽瞏碻礰穈竊籤糮飭溝溝溝溝h&H1jh&H1U@hhhhB*CJOJQJ\乛JaJfHo(ph+++q :hhB*CJOJQJ\乛JaJfHo(ph+++q 0182P皞. 捌A!"#悹$悹%癝班 惄N@N ck噀 $1$a$$CJKHPJ_HaJmH nHsH tH$A@$ 貫祂=刉[SOBi@B nf恏{D綝菷G錓MOM揚芇蘎S赨錟砏玐琗璛甔癤盭砐碭禭稾筙篨絏000000 0000000 0000 0000000 00 000000000000000000000000000000000000000妊00O葢00=妊00O葢00=妊00O葢00=妊00O葢00=葢00/=&XJh  6 C x #*Rs U%p%)=)b),,r..0044669.:::=>{D綝菷G錓MOM揚芇蘎S赨錟玐絏0000 00000 00 0000 0000000 00 0蕬00蕬00蕬00蕬00蕬00蕬000蕬00蕬0!0欯0(蕬00蕬00蕬00蕬00蕬0'00蕬00蕬00蕬00蕬00蕬00蕬00蕬00蕬00蕬00蕬00蕬00蕬00蕬00蕬00蕬00蕬080蕬00蕬00 = Q#u$(o-6<>覢qBPF㎜耇輂琡糮1456789:<=>?@ABCDFGHs${L糮2;E籤38@饞0(  養 S  ? 猛o耐To磐攐仆詏峭p韌Tp賞攑釋詐送q掏Tq屯攓YYR!R!CCCLL颬颬絏  ^^W!W!CC!CLL鱌鱌絏 8*urn:schemas-microsoft-com:office:smarttagsCity9 *urn:schemas-microsoft-com:office:smarttagsplaceB *urn:schemas-microsoft-com:office:smarttagscountry-region 馭 11D凞甔甔癤癤盭盭砐碭禭稾筙篨絏03甔甔癤癤盭盭砐碭禭稾筙篨絏 U%p%=)a)44蘎S赨銾甔甔癤癤盭盭砐碭禭稾筙篨絏D凞甔甔癤癤盭盭砐碭禭稾筙篨絏 臽i喧 0l.Phs^G7枸7> 紺r^誅遏|+哊 0P"i|+哊s^G7砲鉿 @6        敱苾        贛        yK6^賓1 2T $ %縳'逳(&H12鋁ABM9dh+-q w癧x觤芢4?8'%@凞凞翣凞凞糥@UnknownG:郃x Times New Roman5Symbol3& :郈x ArialgTimes New RomasTimes New Roman;(媅SOSimSun3times 1h,1'<1g< rK-< rK-!-!),.:;?]}    & 6"0000 0 0 00000 =@\]^([{  0 0 00000;[個d乆乆2僎HX ?22%The study of retail enterprises chainaceracer0         鄥燆鵒h珣+'遲0 , L X dpx(The study of retail enterprises chainacer Normal.dotacer4Microsoft Office Word@@軯@炄(@膿詍*< rK脹諟.摋+,0 X`lt| -乆'   !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIKLMNOPQSTUVWXYZ[\]^_`abcdefghijklmnoqrstuvwyz{|}~Root Entry F0閙*Data J1TableR:WordDocument2SummaryInformation(pDocumentSummaryInformation8xCompObjm  FMicrosoft Office Word 文檔 MSWordDocWord.Document.89瞦