博碩士論文 954206030 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:26 、訪客IP:18.222.56.251
姓名 顏浩益(Hao-Yi Yen)  查詢紙本館藏   畢業系所 工業管理研究所
論文名稱 在多階段多批量生產環境下選擇檢驗站位置
(Multistage Multiple Lotsizing Production to Order with Inspection Option)
相關論文
★ 二階段作業研究模式於立體化設施規劃應用之探討–以半導體製造廠X及Y公司為例★ 推行TPM活動以改善設備總合效率並提昇 企業競爭力...以U公司桃園工廠為例
★ 資訊系統整合業者行銷通路策略之研究★ 以決策樹法歸納關鍵製程暨以群集法識別關鍵路徑
★ 關鍵績效指標(KPI)之建立與推行 - 在造紙業★ 應用實驗計劃法- 提昇IC載板錫球斷面品質最佳化之研究
★ 如何從歷史鑽孔Cp值導出新設計規則進而達到兼顧品質與降低生產成本目標★ 產品資料管理系統建立及導入-以半導體IC封裝廠C公司為例
★ 企業由設計代工轉型為自有品牌之營運管理★ 運用六標準差步驟與FMEA於塑膠射出成型之冷料改善研究(以S公司為例)
★ 台灣地區輪胎產業經營績效之研究★ 以方法時間衡量法訂定OLED面板蒸鍍有機材料更換作業之時間標準
★ 利用六標準差管理提升生產效率-以A公司塗料充填流程改善為例★ 依流程相似度對目標群組做群集分析- 以航空發動機維修廠之自修工件為例
★ 設計鏈績效衡量指標建立 —以電動巴士產業A公司為例★ 應用資料探勘尋找影響太陽能模組製程良率之因子研究
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 在這篇論文中,設定的生產方法是用多種批量去投入生產,我們提出一個模式去決定如何選擇檢驗站位置,以及決定在各種狀態下的投入批量,讓生產的總成本最小。在生產的時候通常只有在最後才設立檢驗站,如果生產的系統有很多工作站,只在最後設立檢驗站並非聰明的方法;然而檢驗通常是相當消耗時間和成本的作業,並且也不需在每個工作站後面都做檢驗,雖然製造的成本會因為設立較少的檢驗站而降低,但是因為沒有在先前的工作站就檢驗出不良品,因此會增加對不良品加工的成本浪費,所以我們除了在最後設立檢驗站之外,還要找出在生產線的哪些其他工作站後面需要設立檢驗站,來權衡先前兩種成本,減少生產的期望成本。
我們的目標是要找出最佳的檢驗站設立位置,並且依據訂單的變化決定各種最佳投入生產的批量,讓生產的期望成本最小化。
摘要(英) In this paper, we proposed a model embedded inspection allocation option into MLPO (multiple lotsizing production to order) problems. The objective of MLPO problem is to find the production policies (what size of lot is inputted in each state) to minimize the total cost. There is usually only one inspected point in MLPO production system (single-stage MLPO), and it might not be wise to set only one inspected point in a production system especially with many operations. However, inspections are usually costly and time-consuming, and it may not be necessary to do the inspection after each working process. Although the production cost will decrease without inspections performed, but the wasting costs will increase since we let the defective units continue to be processed in the following working stages. Therefore, we should determine that besides setting an inspected point right after the final working station, which working stations are needed to be set addition inspected points to reduce total expected cost.
The objective of our model is to minimize the total expected costs, to calculate the optimal production policies (what size of lot is inputted in each state) and to determine the optimal inspection allocation (where should be set inspected points) in multistage MLPO problem.
關鍵字(中) ★ 線性規劃
★ 整數規劃
★ 檢驗站位置
★ 多批量生產
★ 動態規劃
關鍵字(英) ★ linear programming
★ dynamic programming
★ integer programming
★ inspection allocation
★ MLPO
論文目次 Chinese abstract ..............................................................................................................I
English abstract............................................................................................................. II
Content........................................................................................................................III
The contents of figures .................................................................................................V
The contents of tables ...................................................................................................V
1. Introduction..............................................................................................................1
1.1 Background and Motivation ........................................................................1
1.2 Research Objective ......................................................................................2
1.3 Framework of the Paper...............................................................................2
2. Literature Review ....................................................................................................4
2.1 Multiple Lotsizing Production to Order (MLPO) Problems........................4
2.2 Inspection Allocation Problem ....................................................................9
2.3 Dynamic Programming Problem ...............................................................10
3. Model Formulation ................................................................................................11
3.1 Notations and Assumptions........................................................................11
3.2 Equivalent Problems ..................................................................................13
3.3 Solving Procedure......................................................................................15
4. Experimental Results .............................................................................................18
4.1 MLPO with Single-Stage Problem ............................................................18
4.2 MLPO with Two-Stage Problem................................................................22
5. SensitivityAnalysis................................................................................................29
6. Summary................................................................................................................35
References....................................................................................................................37
參考文獻 1.Anily, S., Beja, A., and Mendel, A. (2000), “Optimal Lot Sizes with Geometric Production Yield and Rigid Demand”, Operations Research, 50, pp. 424-432.
2.Beja, A. (1977), “Optimal Reject Allowance with Constant Marginal Production Efficiency”, Naval Research Logistics Quarterly, 24, pp. 21-33.
3.Grosfeld-Nir, A. and Gerchak, Y. (1996), “Production to Order with Random Yields: Single-Stage Multiple Lotsizing”, IIE Transactions, 28, pp. 669–676.
4.Grosfeld-Nir, A., Gerchak, Y., and He, Q-M. (2000), “Manufacturing to Order with Random Yield and Costly Inspection”, Operations Research, 48, pp. 761-767.
5.Grosfeld-Nir, A., and Gerchak, Y. (2004), “Multiple Lotsizing in Production to Order: A Review”, Annals of Operations Research, 126, pp. 43–69.
6.Grosfeld-Nir, A. (2005), “A Two-Bottleneck System with Binomial Yields and Rigid Demand”, European Journal of Operational Research, 165, pp. 231–250.
7.Gary D. Eppen and E. Gerald Hurst, JR. (1974), “Optimal Location of Inspection Stations in a Multistage Production Process”, Management Science, 20, pp. 1194–1200.
8.Howard, Ronald A. (1960), “Dynamic Programming and Markov Processes”, MIT Press and Wiley.
9.He, Q-M., Gerchak, Y., and Grosfeld-Nir, A. (1996), “Optimal Inspection Order when Process’ Failure Rate Is Constant”, International Journal of Reliability, Quality and Safety Engineering, 3, pp. 25–41.
10.Meister, U. and Holzbaur, U. (1986), “A Polynomial Time Bound for Howard's Policy Improvement Algorithm”, OR Spektrum, 8, pp.37–40.
11.Porteus, E.L. (1986), “Optimal Lotsizing, Process Quality Improvement and Setup Cost Reduction”, Operations Research, 34, pp. 137–144.
12.Porteus, E.L. (1990), “The Impact of Inspection Delay on Process and Inspection Lotsizing”, Management Science, 36, pp. 999-1007.
13.Raz, T. (1986), “A survey of Models for Allocating Inspection Effort in Multistage Production Systems”, Journal of Quality Technology, 18, pp. 239–247.
指導教授 曾富祥(Fu-Shiang Tseng) 審核日期 2008-6-24
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明