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    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/35185
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/35185


    Title: 實際零工式生產排程問題的派工法則
    Dispatching Rules for Practical Job Shop Scheduling
    Authors: 王治平
    Contributors: 陳春龍 教授
    王治平
    Keywords: 派工法則
    排程問題
    零工式工廠
    Date: 2002
    Issue Date: 2009-09-18 14:23:15 (UTC+8)
    Abstract: 由於製造業在生產的過程中常常面對複雜的排程計畫以及現場的不確定狀況,使其在應用ERP或SCM系統時,因缺乏有效的現場管制功能而無法發揮這些系統的整體效能。因為排程問題是現場管制系統的核心,尋找有效且快速求解排程問題的方法是開發現場管制系統成敗的關鍵。過去十年間,針對零工式生產排程問題的研究上已有許多傑出的成果,但我們發現過去研究中所使用的零工式生產排程問題與現場實際的問題之間有許多差異,因此這些研究成果並無法完全由現場所使用。
    本研究所強調之現場零工式生產排程問題包括兩個主要特性:1、每一工件可以擁有不等之操作數目,2、事先知道某些機器為瓶頸機器。這是相對於過去研究中的零工式生產排程問題皆假設每一工件會使用每一機器,因此其所產生的問題將使每一工件擁有相等之操作數,且每一機器的重要性皆相等。針對這兩個主要差異,本研究設計兩個實驗:實驗一產生工件擁有’等操作數’與’不等操作數’的問題;實驗二產生現場’無瓶頸機器’與’有瓶頸機器’的問題。在每一實驗中,我們以三個因素:機器使用率、交期設定和操作時間變異,模擬產生12種不同的狀況。然後以7種評量準則比較16個常用的派工法則在不同狀況下的表現。
    研究結果發現,在’不等操作數’以及’有瓶頸機器’的生產排程問題中,派工法則的表現確實與其在’等操作數’以及’無瓶頸機器’的問題中的表現有極大的差異。本研究將這些其差異加以分析,並嘗試整理出一些規則以提供現場的使用者在面對不同狀況下選擇適當之派工法則的依據。我們相信本研究的成果不論對理論研究者、現場工程師、或生管軟體系統開發者都有極大價值。
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    4.Allahverdi, A. and Tatari, M. F., 1996, “Simulation of different rules in stochastic flowshops,” Computers and Industrial Engineering, 31(1/2), pp. 209-212
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    9.Barrett R. and Kadipasaoglu, S. N. 1999, "Evaluation of Dispatching Rules in a Dynamic Flow Shop", Production and Inventory Management Journal, 31:1, pp.: 54-58..
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    19.Hershaner, J. C., and Ebert, J., 1975, “Search and simulation selection of a job-shop scheduling rule,” Management Science, Vol. 21, pp. 53-63.
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    21.Holthaus, O., Rajendran, C., 1997. “Efficient dispatching rules for scheduling in a job shop,” International Journal of Production Economics, Vol. 48, pp.87-105.
    22.Jain, A. S. and Meeran S., 1998, "A State-of-the-Art Review of Job-Shop Scheduling Techniques", Technical Report, Department of Applied Physics, Electronic and Mechanical Engineering University of Dundee, Dundee, Scotland, UK.
    23.Hunsucker, J. L. and Shah, J. R., 1994, “Comparative performance analysis of priority rules in a constrained flow shop with multiple processors environment,” European Journal of Operational Research, 72, pp. 102-114
    24.Liu, K. C., 1998, “Dispatching rules for stochastic finite capacity scheduling,” Computers and Industrial Engineering, 35(1), pp. 113-116.
    25.Montazeri, M., and Van Wassenhove, L. N., 1986, “Scheduling rules for manufacturing systems,” Working paper 86-01, Afdeling Industrial Beleid, K. U. Leuvan, Leuyen, Belgium.
    26.Nanot, Y. R., 1963, “An experimental investigation and comparative evaluation of priority disciplines in job-shop-like queueing networks,” Management Sciences Research Project, UCLA, Research report No.87.
    27.Narasimhan, S. L., Mangiameli, P. M., 1987, “A comparison of sequencing rules for a two-stage hybrid flow shop,” Decision Sciences, Vol. 18, pp. 250-265.
    28.Parunak, H. V. D., 1991, "Characterizing the Manufacturing Scheduling Problem", Journal of Manufacturing Systems, Vol. 10, pp.241-259.
    29.Pinedo, M., 1995, “Scheduling Theory, Algorithms, and Systems,” Prentice Hall, New Jersey.
    30.Rajendran, C., Holthaus, O., 1999. “A comparative study of dispatching rules in dynamic flowshops and jobshops,” European Journal of Operational Research, Vol. 116, pp. 156-170.
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    32.Ramasesh, R., 1990, “Dynamic job shop scheduling: a survey of simulation research,” Omega, 18(1), pp. 43-57.
    33.Sadeh N., 1991, "Look-Ahead Techniques for Micro-Opportunistic Job Shop Scheduling", Ph.D. Thesis, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA.
    34.Sarper, H. and Henry, M., 1996, “Combinatorial evaluation of six dispatching rules in a dynamic two-machine flow shop,” Omega, 24(1), pp. 73-81.
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    36.Waikar, A. M., Sarker, B. R. and Lal, A. M., 1995, “A comparative study of some priority dispatching rules under different shop loads,” Production Planning & Control, 6(4), pp. 301-310.
    37.Wilbrecht, T. J. and Presscott, W. R., 1969. “The influence of setup time on job shop performance,” Management Science, Vol. 16, pp. 274-280.
    38.Yang, S. and Wang, D., 2000, "Constraint Satisfaction Adaptive Neural Network and Heuristics Combined Approaches for Generalized Job-Shop Scheduling", IEEE Transactions on Neural Networks, Vol. 11, No. 2, March, pp.474-486.
    Description: 碩士
    國立政治大學
    資訊管理研究所
    90356013
    91
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0090356013
    Data Type: thesis
    Appears in Collections:[資訊管理學系] 學位論文

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