有限仓储空间下高科技多代产品库存优化的p -模型

Gaurav Nagpal, Udayan Chanda
{"title":"有限仓储空间下高科技多代产品库存优化的p -模型","authors":"Gaurav Nagpal, Udayan Chanda","doi":"10.1504/ijams.2023.133669","DOIUrl":null,"url":null,"abstract":"This research work puts forward the inventory optimisation model for the high technology multi-generation products under the situation of limited warehouse storage space. It is assumed that the manufacturer has its own space which has a lesser opportunity cost of usage as compared to another rented space. Therefore, the manufacturer utilises the own storage space for the period of time where his own space is sufficient to keep the inventories. While the research work has been done earlier on various demand patterns under such a scenario, there is no research present under storage space constraints for the generations of innovative products whose demand follows the Norton Bass Model of Innovation Diffusion. This paper lays down such a model for inventory optimisation, but also puts forward a few theorems on the dynamics of inventory decisions, and also performs numerical illustrations of the proposed model.","PeriodicalId":38716,"journal":{"name":"International Journal of Applied Management Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.3000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"P-Model of inventory optimisation for high technology multi-generation products under limited warehouse storage space\",\"authors\":\"Gaurav Nagpal, Udayan Chanda\",\"doi\":\"10.1504/ijams.2023.133669\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research work puts forward the inventory optimisation model for the high technology multi-generation products under the situation of limited warehouse storage space. It is assumed that the manufacturer has its own space which has a lesser opportunity cost of usage as compared to another rented space. Therefore, the manufacturer utilises the own storage space for the period of time where his own space is sufficient to keep the inventories. While the research work has been done earlier on various demand patterns under such a scenario, there is no research present under storage space constraints for the generations of innovative products whose demand follows the Norton Bass Model of Innovation Diffusion. This paper lays down such a model for inventory optimisation, but also puts forward a few theorems on the dynamics of inventory decisions, and also performs numerical illustrations of the proposed model.\",\"PeriodicalId\":38716,\"journal\":{\"name\":\"International Journal of Applied Management Science\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Applied Management Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijams.2023.133669\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Applied Management Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijams.2023.133669","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0

摘要

本研究提出了仓库存储空间有限情况下高技术多代产品的库存优化模型。假设制造商拥有自己的空间,与其他租用空间相比,使用空间的机会成本更低。因此,制造商利用自己的存储空间在一段时间内,他自己的空间是足够的,以保持库存。虽然前人已经对这一情景下的各种需求模式进行了研究,但对于需求遵循诺顿巴斯创新扩散模型的几代创新产品,目前还没有在存储空间约束下的研究。本文提出了这样一个库存优化模型,提出了库存决策动力学的几个定理,并对所提出的模型进行了数值说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
P-Model of inventory optimisation for high technology multi-generation products under limited warehouse storage space
This research work puts forward the inventory optimisation model for the high technology multi-generation products under the situation of limited warehouse storage space. It is assumed that the manufacturer has its own space which has a lesser opportunity cost of usage as compared to another rented space. Therefore, the manufacturer utilises the own storage space for the period of time where his own space is sufficient to keep the inventories. While the research work has been done earlier on various demand patterns under such a scenario, there is no research present under storage space constraints for the generations of innovative products whose demand follows the Norton Bass Model of Innovation Diffusion. This paper lays down such a model for inventory optimisation, but also puts forward a few theorems on the dynamics of inventory decisions, and also performs numerical illustrations of the proposed model.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of Applied Management Science
International Journal of Applied Management Science Business, Management and Accounting-Strategy and Management
CiteScore
1.20
自引率
0.00%
发文量
21
期刊最新文献
Investigating the determinants of mobile shopping applications continuance usage intention in the post covid-19 pandemic A comparative study of static and iterative models of ARIMA and SVR to predict stock indices prices in developed and emerging economies A comparative study of static and iterative models of ARIMA and SVR to predict stock indices prices in developed and emerging economies An optimal Bayesian acceptance sampling plan using decision tree method The multi-criteria group decision-making FlowSort method using the output aggregation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1