English  |  正體中文  |  简体中文  |  Items with full text/Total items : 90074/105197 (86%)
Visitors : 7155651      Online Users : 34
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    ASIA unversity > 管理學院 > 經營管理學系  > 期刊論文 >  Item 310904400/18346

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/18346

    Title: Cost Models for Lot Streaming in a Multistage Flow Shop
    Authors: 邱煥能;Chiu, Huan-Neng;張仁輝;Chang, Jen-Huei
    Contributors: 經營管理學系
    Keywords: Lot streaming;Processing batch;Transfer batch;Multistage flow shop;Cost model
    Date: 2005-10
    Issue Date: 2012-11-26 12:47:31 (UTC+8)
    Abstract: Lot streaming is a technique used to split a processing batch into several transfer batches. In this way, overlapping operations can be performed in different manufacturing stages, and production can be accelerated. This paper proposes two cost models for solving lot streaming problems in a multistage flow shop. The purpose is to determine the optimal processing batch size and the optimal number of transfer batches that minimize the total annual cost in each model. In the first model, a more complete and accurate method is developed to compute the costs of raw materials, work-in-process, and finished-product inventories. The total cost includes the setup cost, the transfer batch movement cost, the three-type inventory holding cost, and the finished-product shipment cost. The second model contains not only the four costs in the first model, but also the imputed cost associated with the makespan time. The total annual cost functions in both models are shown to be convex, and two solution approaches are suggested. An experiment consisting of three phases was conducted to explore the effect on the optimal solution when changing the value of one parameter at a time. The results indicate that three parameters have significant effects on the optimal solution.
    Appears in Collections:[經營管理學系 ] 期刊論文

    Files in This Item:

    File Description SizeFormat
    1-s2.0-S0305048304000921-main.pdf280KbAdobe PDF107View/Open

    All items in ASIAIR are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback