YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • Journal of Manufacturing Science and Engineering
    • View Item
    •   YE&T Library
    • ASME
    • Journal of Manufacturing Science and Engineering
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Note on “Effects of Random Defective Rate and Imperfect Rework Process on Economic Production Quantity Model”

    Source: Journal of Manufacturing Science and Engineering:;2006:;volume( 128 ):;issue: 001::page 375
    Author:
    Yuan-Shyi Peter Chiu
    ,
    Singa Wang Chiu
    DOI: 10.1115/1.2039948
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Conventional approaches for deriving optimal production lot size are by using the differential calculus on the production-inventory cost function with the need to prove optimality first. Recent articles proposed the algebraic approach to the solution of classic economic order quantity and economic production quantity (EPQ) model without reference to the use of derivatives. This note extends it to an EPQ model taking the random defective rate and imperfect rework process into consideration. We demonstrate that the optimal lot size can be solved algebraically and the expected inventory cost can be derived immediately as well.
    keyword(s): Manufacturing , Mathematical analysis AND Cycles ,
    • Download: (67.08Kb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Note on “Effects of Random Defective Rate and Imperfect Rework Process on Economic Production Quantity Model”

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/134193
    Collections
    • Journal of Manufacturing Science and Engineering

    Show full item record

    contributor authorYuan-Shyi Peter Chiu
    contributor authorSinga Wang Chiu
    date accessioned2017-05-09T00:20:46Z
    date available2017-05-09T00:20:46Z
    date copyrightFebruary, 2006
    date issued2006
    identifier issn1087-1357
    identifier otherJMSEFK-27914#375_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/134193
    description abstractConventional approaches for deriving optimal production lot size are by using the differential calculus on the production-inventory cost function with the need to prove optimality first. Recent articles proposed the algebraic approach to the solution of classic economic order quantity and economic production quantity (EPQ) model without reference to the use of derivatives. This note extends it to an EPQ model taking the random defective rate and imperfect rework process into consideration. We demonstrate that the optimal lot size can be solved algebraically and the expected inventory cost can be derived immediately as well.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleNote on “Effects of Random Defective Rate and Imperfect Rework Process on Economic Production Quantity Model”
    typeJournal Paper
    journal volume128
    journal issue1
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.2039948
    journal fristpage375
    journal lastpage377
    identifier eissn1528-8935
    keywordsManufacturing
    keywordsMathematical analysis AND Cycles
    treeJournal of Manufacturing Science and Engineering:;2006:;volume( 128 ):;issue: 001
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian