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Estimating Achievable Capacity Index based on Multiple Samples

dc.citation.epage0en_US
dc.citation.spage0en_US
dc.citation.volume25en_US
dc.citation.woscount0en_US
dc.contributor.authorWang, Tsung-Yinen_US
dc.contributor.authorLiou, Cheng-Hwaien_US
dc.contributor.authorSu, Rung-Hungen_US
dc.contributor.authorYang, Dong-Yuhen_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.date.accessioned2019-04-03T06:47:57Z
dc.date.available2019-04-03T06:47:57Z
dc.date.issued2011-01-01en_US
dc.description.abstractThis paper investigates the profitability which measures for the newsboy-type product and develops a new index "Achievable Capacity Index", denoted by I-A. It can accurately measure the profitability of newsboy-type product with normally distributed demand. Furthermore, the interrelationship between profitability and I-A is also performed. An unbiased and effective estimator is derived to estimate I-A. Practically, market information regarding demand is obtained from multiple samples rather than single sample. Then we estimate I-A based on multiple samples. Finally, a numerical result is presented to show the probability density function of the unbiased estimator of (I) over cap (A) under different groups and sample sizes. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Asia Pacific Business Innovation and Technology Management Societyen_US
dc.identifier.doi10.1016/j.sbspro.2011.10.538en_US
dc.identifier.issn1877-0428en_US
dc.identifier.journalINTERNATIONAL CONFERENCE ON ASIA PACIFIC BUSINESS INNOVATION AND TECHNOLOGY MANAGEMENT (APBITM)en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.sbspro.2011.10.538en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/135246
dc.identifier.wosnumberWOS:000299636000016en_US
dc.language.isoen_USen_US
dc.subjectNewsboyen_US
dc.subjectestimatingen_US
dc.subjectachievable capacity indexen_US
dc.subjectmultiple samplesen_US
dc.titleEstimating Achievable Capacity Index based on Multiple Samplesen_US
dc.typeProceedings Paperen_US

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