跳到主要內容

臺灣博碩士論文加值系統

(18.97.9.172) 您好!臺灣時間:2025/03/17 00:21
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:黃雅楣
研究生(外文):Ya-Mei Huang
論文名稱:存貨紀錄不正確下二階層存貨管理系統最佳策略之研究
論文名稱(外文):A Study on Replenishment Policies for Two-echelon Inventory Systems with Inventory Record Inaccuracy
指導教授:蔡啟揚
學位類別:碩士
校院名稱:元智大學
系所名稱:工業工程與管理學系
學門:工程學門
學類:工業工程學類
論文種類:學術論文
論文出版年:2006
畢業學年度:94
語文別:中文
論文頁數:127
中文關鍵詞:二階層存貨系統存貨紀錄正確性(sS)存貨策略電子資訊系統
外文關鍵詞:Two-echelon Inventory SystemInventory Inaccuracy(sS) Inventory PolicyAutomatic Identification Technologies
相關次數:
  • 被引用被引用:1
  • 點閱點閱:264
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
企業競爭激烈,面對產品需求大量變動,存貨管理在企業經營中扮演著相當重要的角色,存貨不足產生缺貨成本,而大量或過渡的存貨亦可能造成資金積壓,所以制訂存貨策略時,如何取得平衡對於公司營運上佔相當重要的一環。實務上,可發現一般系統的存貨紀錄皆存在誤差,而早期研究常忽略之,制訂出不正確之存貨策略,進而導致缺貨情形發生,抑制公司獲利空間,因此本研究考量二階層存貨系統中存貨紀錄的正確性,探討電子資訊系統導入單一階層或二階層時,系統紀錄存在誤差與否對制訂存貨策略、整體或局部供應鏈績效之影響。
本論文針對單一產品的二階層存貨系統,其中包含單一配銷中心與單一零售商,為考量存貨紀錄是否存在誤差,因而提出四種模式,分別為上下階層存貨紀錄不正確、下階層存貨紀錄不正確、上階層存貨紀錄不正確與上下階層存貨紀錄正確(當導入電子資訊系統時,該階層存貨紀錄正確),並採用兩種決策法則(兩階段法則與協同決策法則),以最小化二階層存貨系統總相關成本為目標,藉由程式搜尋找出最佳存貨策略。爾後,透過變動的需求量及需求變異與相關成本參數來進行研究,觀察趨勢變動對整體的影響。結果發現當二階層存貨系統皆導入電子資訊系統時,採用協同決策法則,使管理者能隨時掌控正確紀錄,得到最小化二階層總相關成本。
This study considers a two-echelon inventory system where inaccuracy of records on inventory exists. The inventory system is composed of one distributor and one retailer. The objective is to evaluate the effect of system related costs when improve inventory record accuracy of the system. Four models are constructed: the system where both echelons exhibit inventory inaccuracy, the systems where either the first echelon or the second echelon has inaccuracy inventory information and the system with perfect inventory record at both echelons.
Two decision strategies (sequential strategy and coordinated strategy) are discussed when searching for the best inventory policy based on the minimum total cost of the two-echelon inventory system. System-related cost functions for the four models are derived and a search algorithm for optimal replenishment policies is proposed. An intensive numerical study is conducted and the performance of the four models is compared and analyzed. It can be shown that system costs can be reduced significantly by improving inventory accuracy.
中文摘要 I
英文摘要 II
誌謝 III
目錄 IV
表目錄 VII
圖目錄 VIII
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 3
1.3 研究假設 4
1.4 研究架構 5
第二章 文獻探討 7
2.1 存貨系統補貨策略 7
2.1.1 連續盤存制 7
2.1.2 定期盤存制 8
2.2 多階層供應鏈管理 10
2.2.1 供應鏈管理 10
2.2.2 多階層存貨系統 12
2.3存貨紀錄正確性 14
2.3.1 存貨紀錄正確性之定義 14
2.3.2 存貨不正確之成因 14
2.3.3 改善存貨不正確之應用 15
2.4 RFID之定義與應用 17
2.4.1 RFID之定義 17
2.4.2 RFID應用 17
2.4.3 運用於供應鏈管理之相關文獻 21
2.5 小結 21
第三章 系統介紹與模式建構 22
3.1 系統介紹 22
3.2 研究假設與限制 27
3.3 四種模式共用符號 27
3.4 目標式 29
3.5 模式一 29
3.5.1 模式特殊相關符號 30
3.5.2 相關假設及補貨策略 30
3.5.3 二階層總相關成本計算 31
3.6 模式二 32
3.6.1 模式特殊相關符號 33
3.6.2 相關假設及補貨策略 33
3.6.3 二階層總相關成本計算 34
3.7 模式三 35
3.7.1 模式特殊相關符號 36
3.7.2 相關假設及補貨策略 36
3.7.3 二階層總相關成本計算 37
3.8 模式四 38
3.8.1 相關假設及補貨策略 39
3.8.2 二階層總相關成本計算 40
3.9 決策法則 41
3.9.1 兩階段決策法則 41
3.9.2 協同決策法則 44
3.10 小結 47
第四章 實例驗證與分析 49
4.1 程式介面操作說明 49
4.2 實驗範例與相關參數說明 52
4.2.1 環境與成本參數假設 52
4.2.2 實驗範例結果 54
4.3 案例的選用 55
4.4 存貨紀錄正確的實質效益 63
4.4.1 模式一與其他三種模式總相關成本比較 63
4.4.2 兩種決策法則比較 74
4.4.3 比較存貨紀錄正確為上階層與下階層帶來之實質效益 79
4.4.4 最佳存貨策略比較 82
4.5 敏感度分析 87
4.5.1 變動年平均需求 87
4.5.2 變動年需求標準差 89
4.5.3 變動第一階層誤差率 90
4.5.4 變動第二階層誤差率 92
4.5.5 變動第二階層訂購成本 94
4.5.6 變動第二階層存貨持有成本 95
4.5.7 變動第二階層缺貨成本 97
4.5.8 變動第二階層存貨折損成本 99
4.6 小結 100
第五章 結論與建議 104
5.1結論 104
5.2後續研究與建議 107
參考文獻 108
附錄一 115
附錄二 126
1.古元俊(2001),「存貨作業系統應用於林產工業之可行性研究」,碩士論文,國立臺灣大學森林學研究所。

2.李鈞(2003),「生產管理進階」,前程企業管理有限公司。

3.林義旭(2004),「二階損耗性物料存貨模式之研究」,博士論文,國立成功大學工業管理科學系碩博士班。

4.吳德欽(2004),「整合性二階再利用產品多批量運送存貨模式」,碩士論文,中原大學工業工程研究所。

5.邱瑩青著(2005),「RFID實踐:非接觸式智慧卡系統開發」,學貫出版股份有限公司。

6.周湘琪譯(2004),「RFID技術與應用」,旗標出版股份有限公司。

7.陳玉加(2003),「存貨紀錄不正確下定期盤點存貨系統之研究」,碩士論文,淡江大學資訊管理學系碩士班。

8.陳宜瑋(2004),「台灣射頻辨識系統之產業分析與探討」,碩士論文,國立高雄第一科技大學運輸倉儲營運所。

9.SamQ簡訊銀行, 2005年12月22日, 資料來源http://www.samq.com.tw/main.php?page=rfid.htm#title1。

10.APICS (1980), Cycle Counting Training Guide, Washington, DC.

11.Axsäter, S. (2001), “Scaling down multi-echelon inventory problems,” International Journal of Production Economics, 71, 255-261.

12.Beamon, B. M. (1998), “Supply chain design and analysis: models and methods,” International Journal Production Economics, 55, 281-294.

13.Benita, M. B. (1998), “Supply chain design and analysis: models and methods,” International Journal of Production Economics, 55, 281-294.

14.Bernard, P. A. (1985), “Cycle counting: the missing link,” Production and Inventory Management, 26, 27-40.

15.Bessler, S. A. and A. J. Veinott (1966), “Optimal policies for a dynamic multi-echelon inventory model,” Naval Research Logistics Quarterly, 13, 355-389.

16.Bhaskaran, S. (1998), “Simulation analysis of a manufacturing supply chain,” Decision Sciences, 29, 633-657.

17.Bloomberg, D. J., S. LeMay and J. B. Hanna (2002), Logistics, Prentice Hall.

18.Bonney, M. C. (1994), “Trends in inventory management,” International Journal of Production Economics, 35, 107-114.

19.Brown, K. L., R. Anthony Inman and J. A. Calloway (2001), “Measuring the effects of inventory inaccuracy in MRP inventory and deliver performance,” Production Planning and Control, 12, 46-57.

20.Buker, D. W. (1984), “Inventory accuracy,” Inventory Management Reprints-APICS, 221-223.

21.Bullard, P. D. and A. J. Resnik (1983), “SMR forum: too many hands in the corporate cookie jar,” Sloan Management Review, 25, 51-56.

22.Cantwell, J. (1985), “How and why of cycle counting: the ABC method,” Production and Inventory Management Journal, 26, 50-54.

23.Chen, F. and Y. S. Zheng (1994), “Evaluating echelon stock (R, nQ) policies in serial production/inventory systems with stochastic demand,” Management Science, 40, 1262-1275.

24.Chopra, V. (1986), “How to set up an effective inventory accuracy program,” Annual International Conference Proceedings-APICS, 238-240.

25.Christy, D. P. and J. R. Grout (1994), “Safeguarding supply chain relationships,” International Journal of Production Economics, 36, 233-242.

26.Clark, A. J. and H. Scarf (1960), “Optimal policies for a multi-echelon inventory problem,” Management Science, 6, 475-490.

27.Cohen, M. A. and H. L. Lee (1989), “Resource deployment analysis of global manufacturing and distribution networks,” Journal of Manufacturing and Operations Management, 2, 81-104.

28.Cohen, M. A. and S. Moon (1990), “Impact of production scale economics, manufacturing complexity and transportation costs on supply chain facility networks,” Journal of Manufacturing and Operation Management, 3, 269-292.

29.ECR Europe (2000), Unit load identification and tracking, Report, ECR Europe.

30.Edelman, M. P. (1984), “Cycle counting for distribution inventories,” Readings in Production and Inventory Control and Planning-APICS, 29.

31.Ernst, R., J. L. Guerrero and A. Roshwalb (1992), “Maintaining inventory system accuracy,” International Journal of Purchasing and Management, Summer, 33-37.

32.Ernst, R., J. L. Guerrero, and A. Roshwalb (1993), “A quality control approach for monitoring inventory stock levels,” Journal of the Operational Research Society, 44, 1115-1127.

33.Fleisch, E. and C. Tellkamp (2005), “Inventory inaccuracy and supply chain performance: a simulation study of a retail supply chain,” International Journal of Production Economics, 95, 373-385.

34.Forger, G. (1997), “WMS veterans offer proven ideas for success,” Modern Material Handing, April, 24-26.

35.Ghare, P. M. and G. F. Schrader (1963), “A model for exponentially decaying inventory,” Journal of industrial engineering, 14, 238-243.

36.Giannoccaro, I., P. Pontrandolfo and B. Scozzi (2003), “A fuzzy echelon approach for inventory management in supply chains,” European Journal of Operational Research, 149, 185-196.

37.Hart, M. K. (1998), “Improving inventory accuracy using control charts,” Production and Inventory Management Journal, 39, 44-47.

38.Hollinger, R. C. (2002), National retail security survey, Report, Data cited according to http://retailindustry.about.com/od/statistics_prevention/1/aa021126a. htm.

39.Iglehart, D. L. and R. C. Morey (1972), “Inventory systems with imperfect asset information,” Management Science, 18, 388-394.

40.Jilovec N. (2004), EDI, UCCnet & RFID:synchronizing the supply chain, Penton.

41.Karkkainen, M. (2003), “Increasing efficiency in the supply chain for short shelf life goods using RFID tagging,” International Journal of Retail and Distribution Management, 31, 529-536.

42.Kalakota, R. and A. B. Whinston (1996), Frontiers of Electronic Commerce, Addison Wesley.

43.Kang, Y. and S. B. Gershwin, (2005) “Information inaccuracy in inventory systems-stock loss and stockout,” IIE Transactions, 37, 843 - 859.

44.Knapp, M. C. and C. A. Knapp (2000), “Perry drugs stores, inc.: accounting and control issues for inventory in a retail environment,” American Accounting Association, 15, 237-255.

45.Lee, H. L. and C. Billington (1993), “Material management in decentralized supply chains,” Operations Research, 41, 835-847.

46.Lee, Y. M., F. Cheng and Y. T. Leung (2004), “Exploring the impact of RFID on supply chain dynamics,” Proceedings - Winter Simulation Conference, 2, 1145-1152.

47.Meyer P. L. (1979), Introductory probability and statistical applications, Mei Ya.

48.Miller, G. J. (1997), “Inventory accuracy in 60 days,” Hospital Materiel Management Quarterly, 19, 12-25.

49.Miller, G. J. (1998), “Inventory accuracy in 60 days,” Hospital Materiel Management Quarterly, 20, 1-14.

50.Morey, R. C. (1985), “Estimating service level impacts from changes in cycle count, buffer stock, or corrective action.” Journal of Operations Management, 5, 411-418.

51.Morey, R. C. (1986), “Determining optimal cycle count frequency,” Production and inventory management Washington, D.C., 27, 66-74.

52.Morey, R. C. and D. A. Dittman (1986), “Optimal timing of account audits in internal control,” Management Science, 32, 272-282.

53.National Supermarket Research Group (2001), Supermarket shrink survey. Data cited according to http://www.traxusa.com/research/home2.html.

54.Pyke, D. F. and M. A. Cohen (1993), “Performance characteristics of stochastic integrated production-distribution systems,” European Journal of Operation Research, 68, 23-48.

55.Raman, A., N. DeHoratius and Z. Ton (2001), “Execution: the missing link in retail operations,” California Management Review, 43, 136-152.

56.Reddock, J. G. (1984), “How to count a cycle,” Readings in Production and Inventory Control and Planning APICS, 28.

57.Sherbrooke, C. C. (1968), “Metric: a multi-echelon technique for recoverable item control,” Operation Research, 16, 122-141.

58.Silver, E. A. and D. F. Pyke and R. Peterson. (1998), Inventory Management and Production Planning and Scheduling, John Wiley and Sons, Inc.

59.Smaros, J. and J. Holmstrom (2000), “Viewpoint: reaching the consumer through E-Grocery VMI,” International Journal of Retail and Distribution Management, 28, 55-61.

60.Supply-Chain Council, Data cited according to http://www.supply-chain.org/index.ww

61.Van Der Heijden, M. C. (2000), “Near cost –optimal inventory control policies for divergent networks under full rate constraints,” International Journal of Production Economics, 63, 161-179.

62.Wayman, W. A. (1995), “Inventory accuracy through warehouse control,” Production and Inventory Management Journal, 36, 17-21.

63.Warehousing Management (2001), “New study focuses on data capture accuracy,” December, 3, Data cited according to http://www.warehousemag.com.

64.Young, S. T. and W. D. Nie (1992), “A cycle-count model considering inventory policy and record variance,” Production and Inventory Management Journal, 33, 11-16.

65.Young, J. B. (1986), “The limits of cycle counting,” Annual International Conference Proceedings-APICS, 241-243.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top