PROD: Analytical (Product) (Topic)最新文献

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Go Upscale? Quality Competition between National Brand and Store Brand 去高档的吗?民族品牌与专卖店品牌的质量竞争

PROD: Analytical (Product) (Topic) Pub Date : 2018-04-18 DOI: 10.2139/ssrn.3164711

T. Chakraborty, S. Chauhan, Xiao Huang

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引用次数: 0

Managing Flexible Products on a Network 管理网络中的柔性产品

PROD: Analytical (Product) (Topic) Pub Date : 2004-07-01 DOI: 10.2139/ssrn.3567371

G. Gallego, G. Iyengar, R. Phillips, A. Dubey

{"title":"Managing Flexible Products on a Network","authors":"G. Gallego, G. Iyengar, R. Phillips, A. Dubey","doi":"10.2139/ssrn.3567371","DOIUrl":"https://doi.org/10.2139/ssrn.3567371","url":null,"abstract":"A flexible product is a menu of two or more alternatives products serving the same market. Purchasers of flexible products are assigned to one of the alternatives at a later date. Gallego and Phillips [9] show that capacitated suppliers, such as airlines and hotels, can potentially improve revenue by offering flexible products in addition to traditional specific products. In this paper, we extend the concept of flexible products to networks. We study the network revenue management problem with flexible products in two different settings: one where the demand for each product is independently and exogenously generated; and the other where the demand is driven by a consumer choice model. We show that in both these settings the optimal value of the stochastic optimization problem can be closely approximated by the optimal value of a deterministic linear program. In the independent demand case the corresponding linear program is of modest size. When the demand is driven by a customer choice model, the linear program has exponentially many variables; however, we show that for an important class of consumer choice models the linear program can be efficiently solved using column-generation. We report the findings of numerical experiments with a real airline subnetwork and show how the results vary as a function of the key inputs. IEOR Department, Columbia University. Research partially supported by NSF grant DMI-02-18104 IEOR Department, Columbia University. Email: garud@ieor.columbia.edu. Research partially supported by NSF grants CCR-00-09972 and DMS-01-04282. Nomis Solutions. Research partially supported by NSF grant DMI-02-18104 School of Operations Research and Industrial Engineering, Cornell University","PeriodicalId":289701,"journal":{"name":"PROD: Analytical (Product) (Topic)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126754120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 277

A Model of Diffusion in the Production of an Innovation 创新生产中的扩散模型

PROD: Analytical (Product) (Topic) Pub Date : 1978-11-01 DOI: 10.3386/W0297

Michael Gort, A. Konakayama

{"title":"A Model of Diffusion in the Production of an Innovation","authors":"Michael Gort, A. Konakayama","doi":"10.3386/W0297","DOIUrl":"https://doi.org/10.3386/W0297","url":null,"abstract":"This paper is an attempt to explain diffusion in the production of an innovation. Diffusion in production is defined as the increase in number of producers, or net entry, in the market for a new product. It is to be distinguished from the more familiar problem in the literature on technical change, namely, the diffusion among producers in the use of new products and, hence, of changes in production processes for \"old\" products (or services). The empirical results confirm that a simple model -- simple in terms of number of variables -- is sufficient to explain most of diffusion in the production of an innovation. The principal variable that explains diffusion of entry is the demonstration effect. The principal variable that retards entry is the accumulated experience and goodwill of existing firms. A limiting force is the population of potential entrants. None of these variables appears to lend itself readily to influence by public policy. The first stage in diffusion -- the interval from first commercial introduction of the product to entry by competitors -- varies greatly in duration. Institutional variables, including public policy, may have a greater impact on the length of this first stage, which is not covered by this study, than on the diffusion process in the periods examined in this paper.","PeriodicalId":289701,"journal":{"name":"PROD: Analytical (Product) (Topic)","volume":"652 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1978-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122961781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 52