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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/71190

    Title: 船用五金拋光作業之生產規劃;Production Planning of the Polishing Operation for Marine Hardware
    Authors: 李芳儀;Lee,Fang-Yi
    Contributors: 工業管理研究所在職專班
    Keywords: 線性規劃;生產規劃;最佳化;Linear programming;Production planning;Optimization
    Date: 2016-07-25
    Issue Date: 2016-10-13 12:11:26 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 本研究的目的是為船用五金鑄造廠的拋光製程建立一最生產規劃。影響有效產能供應的因素很多,例如設施本身大小及未來擴充能力、產品之共通性或標準化、製程的複雜程度、人員流動率及工作素質或設備穩定性…等等。以經營二十幾年的鑄造廠來說,除非有擴廠計劃,否則廠內設施大小不會有太大的變動;產品作業之標準化及製程之複雜程度已達純熟階段;故主要影響產能的原因僅剩人員流動率及設備穩定性。

    ;The objective of this study is to optimize the capacity allocation of the polishing production process in a marine hardware foundry. The critical factors affecting the supply of capacity including current size and the expandability of the facility, the commonness and standardization of the product, the complexity of the production process, the turnover rate of the labors and the stability of production equipment, etc. As a foundry founded twenty years ago, the overall number of equipment will not be increased dramatically unless plant expansion. The production management is familiar with all different kinds of products and can deal with complex production process very well. Therefore, the key factors in our foundry are the turnover of labors and the stability of equipment.
    In most of the factories, the number of employees will not change significantly. However, our foundry located in coastal area and most of the employees are from inland. The commute might take them several days or a week, so they live in the dormitory in or nearby the foundry. The employees will take several days off and go home for family reunion in Songkran Festival (Thai New Year). The employees will stay at their hometown if they get a chance for a better job there. Therefore, the capacity of the foundry will be decreased for a period of time if the employees do not return from the holidays.
    In addition, the breakdown of the equipment will also influence the output of the production. It is necessary to do maintenance regularly in order to ensure the machines are working. Capacity might decrease due to the maintenance.
    In this study, a basic model will be built by Linear Programming. The polishing production cost, inventory cost and shortage cost of two cast parts and the purchasing cost and inventory cost of two accessories will be included in constraints. The optimization will be conducted in excel. Furthermore, two different scenarios with capacity restrictions will be discussed by adding capacity constraints to the basic model. The conclusion will help the controller adjust the production plan under predictable capacity restriction. With the best allocation of polishing capacity, the polishing production cost will be minimized and the profit will be raised.
    Appears in Collections:[工業管理研究所碩士在職專班 ] 博碩士論文

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