{"title":"有限库存下的动态混合捆绑","authors":"Peng Liao, Li Jiang, H. Ye","doi":"10.2139/ssrn.3062584","DOIUrl":null,"url":null,"abstract":"Consider a revenue-maximizing provider who holds inventories for multiple components and adopts mix-bundling to sell a line of products made up of individual components and bundles that comprise these components. Consumers arrive over a finite time horizon up to the time of consumption and each of them requests a component or a bundle. We first study the setting in which the provider holds inventories for two components and adopts quantity-based control to manage selling, whereby she accepts a consumer request for a product if its price is above the associated marginal value. Our results show that a lower inventory level for a component increases the marginal value of a product that comprises this component – the scarcity effect, and a higher inventory level of a component increases the marginal value of the other component – the complementarity effect. The scarcity effect in general outweighs the complementarity effect in influencing optimal policies. While the value of package decreases as time elapses, that of a specific component is not necessarily monotone with time due to inventory imbalance. In the general setting, the provider has inventories for a number of components and adopts price-based control to manage selling. We develop and apply a heuristics to dynamically decide bundle set, component selling prices and bundle discount, to find that the value of mix-bundling in revenue generation depends crucially on the correlation of consumer valuations for components, as well as the availability and dispersion of initial component inventories.","PeriodicalId":431230,"journal":{"name":"ERN: Consumption","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic Mix-Bundling with Limited Inventories\",\"authors\":\"Peng Liao, Li Jiang, H. Ye\",\"doi\":\"10.2139/ssrn.3062584\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Consider a revenue-maximizing provider who holds inventories for multiple components and adopts mix-bundling to sell a line of products made up of individual components and bundles that comprise these components. Consumers arrive over a finite time horizon up to the time of consumption and each of them requests a component or a bundle. We first study the setting in which the provider holds inventories for two components and adopts quantity-based control to manage selling, whereby she accepts a consumer request for a product if its price is above the associated marginal value. Our results show that a lower inventory level for a component increases the marginal value of a product that comprises this component – the scarcity effect, and a higher inventory level of a component increases the marginal value of the other component – the complementarity effect. The scarcity effect in general outweighs the complementarity effect in influencing optimal policies. While the value of package decreases as time elapses, that of a specific component is not necessarily monotone with time due to inventory imbalance. In the general setting, the provider has inventories for a number of components and adopts price-based control to manage selling. We develop and apply a heuristics to dynamically decide bundle set, component selling prices and bundle discount, to find that the value of mix-bundling in revenue generation depends crucially on the correlation of consumer valuations for components, as well as the availability and dispersion of initial component inventories.\",\"PeriodicalId\":431230,\"journal\":{\"name\":\"ERN: Consumption\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Consumption\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3062584\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Consumption","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3062584","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Consider a revenue-maximizing provider who holds inventories for multiple components and adopts mix-bundling to sell a line of products made up of individual components and bundles that comprise these components. Consumers arrive over a finite time horizon up to the time of consumption and each of them requests a component or a bundle. We first study the setting in which the provider holds inventories for two components and adopts quantity-based control to manage selling, whereby she accepts a consumer request for a product if its price is above the associated marginal value. Our results show that a lower inventory level for a component increases the marginal value of a product that comprises this component – the scarcity effect, and a higher inventory level of a component increases the marginal value of the other component – the complementarity effect. The scarcity effect in general outweighs the complementarity effect in influencing optimal policies. While the value of package decreases as time elapses, that of a specific component is not necessarily monotone with time due to inventory imbalance. In the general setting, the provider has inventories for a number of components and adopts price-based control to manage selling. We develop and apply a heuristics to dynamically decide bundle set, component selling prices and bundle discount, to find that the value of mix-bundling in revenue generation depends crucially on the correlation of consumer valuations for components, as well as the availability and dispersion of initial component inventories.