進階搜尋


 
系統識別號 U0026-2306201014241000
論文名稱(中文) 接單後組裝系統中考量零件易腐性及共通性之存貨策略
論文名稱(英文) An Inventory policy for Assemble-to-Order systems with perishable and common components
校院名稱 成功大學
系所名稱(中) 工業與資訊管理學系碩博士班
系所名稱(英) Department of Industrial and Information Management
學年度 98
學期 2
出版年 99
研究生(中文) 羅昊文
研究生(英文) Hao-Wen Lo
學號 r3697107
學位類別 碩士
語文別 中文
論文頁數 74頁
口試委員 指導教授-黃宇翔
口試委員-翁慈宗
口試委員-黃仲正
中文關鍵字 存貨  易腐性  共用性  動態規劃 
英文關鍵字 Inventory  Perishable  Commonality  Dynamic Pogramming 
學科別分類
中文摘要 摘要
隨著全球化趨勢及資訊科技發展,反應時間可能成為主要競爭優勢,接單後組裝(Assemble-to-Order)系統就是為了減少反應時間所衍生的生產策略,而存貨則扮演反應時間快慢的關鍵角色。易腐性存貨的相關研究大多將易腐性產品當作一個產品決定其訂購量,忽略應用於接單後組裝環境的可能性,產品可能由易腐性零件以及非易腐性零件組合而成,所以不能視為單獨的報僮模式以解決,每一期的採購策略均需要聯合被考慮。本研究便是針對接單後組裝系統中,提供多樣種類產品的製造商,且需求為不確定性,零件分別具有易腐性以及非易腐性,而非易腐性材料當作不同產品間的共用性零件,共用性零件能夠替代專屬零件,進而減少管理上的複雜度,但也有可能導致配對錯誤的情形發生,本研究將透過不考慮期初的缺貨後補數量以及可得的非易腐共用零件數量以制定適合的存貨策略,決定生命週期為一期和兩期易腐性零件的每期最佳訂購數量及共用零件訂購時機與數量。本研究納入零件訂購成本於模式中,並使用動態規劃的手法建構出一個多期的利潤問題,同時考量零件採購成本、存貨持有成本、產品的缺貨成本以及易腐性零件的生命週期,使製造商訂定出適當的存貨策略,降低因配對錯誤造成的損失,得到最大化的利潤,同時透過數值應用證實使用分配政策比起單獨解決報僮模型可以得到比較大的利潤表現,最後提出一種分配方法則是在大部分的情況可以得到最大化的利潤,證實此存貨策略對於利潤將帶來正面之效益影響。
英文摘要 With globalization and the improvement of information technology quick responses to customers’ requirements become main competitive advantages for corporate. Assemble-to-order is developed as a production strategy to reduce response times in which inventory plays a key role to affect lead times. In recent years, research on perishable inventory often regards an item but not a component is perishable, which ignores the possibility of fitting in an assemble-to-order environment in practice. Many products are made using both perishable and non-perishable components, and which can not be dealt with by a series of newsvendor problems. In facts, replenishment decisions for both components have to be made jointly. In this study, we focus on the inventory problem of multi-product in an assemble-to-order system where components may be perishable and non-perishable. And the non-perishable one is also a common component. We establish an inventory policy for perishable components in which the number of backorders at the beginning of a period and the availability of the nonperishable component are considered to determine the optimal ordering schedules and quantities of the perishable components, and the common component. A dynamic programming approach is used to model the multi-period problem which considers purchasing costs, holding cost, backorder cost , and lifetimes of perishable components. The proposed approach ensures that manufacturers can have a better inventory policy with profit improvement which can reduce damages from mis-match in assembly. Finally, a numerical application demonstrates that the benefits of using the proposed allocation policies are better than that for solving problem as a newsvendor independently.
論文目次 致謝 I
中文摘要 II
英文摘要 III
目錄 IV
圖目錄 VI
表目錄 VII
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 2
第三節 研究目的 3
第四節 研究範圍與重要性 4
第五節 研究流程 4
第六節 論文架構 6
第二章 文獻探討 7
第一節 存貨模式相關文獻 7
一. 存貨之基本概述 7
二. 存貨之相關研究 8
三. 接單後組裝系統之存貨 11
第二節 易腐性產品 13
一. 易腐性產品之性質 13
二. 易腐性產品之存貨模型 14
第三節 共用性零件 17
一. 共用性零件之性質 17
二. 共用性零件之相關研究 19
第三章建構易腐性與共用性零件之存貨模型 23
第一節 問題描述 23
第二節 研究架構 25
第三節 易腐性與共用性零件中接單後生產之存貨 27
一. 裝配製造業的最小化成本模式 27
二. 易腐性及共用性零件之存貨策略 32
第四章 應用分析 40
第一節 實例說明與比較 40
第二節 敏感度分析 43
第五章 結論與建議 48
第一節 研究貢獻 48
第二節 研究限制方向 49
第三節 未來研究方向 49
參考文獻 51
一、中文部分 51
二、英文部分 51
附錄:模式證明 57

圖目錄
圖1.1研究流程 5
圖2.1接單後組裝系統生產流程(何怡潔 2007) 11
圖3.1接單後組裝系統架構圖 25
圖4.1產品a售價vs.訂購量 43
圖4.2產品a缺貨後補成本vs.訂購量 44
圖4.3產品b售價vs.訂購量 44
圖4.4產品b缺貨後補成本vs.訂購量 45
圖4.5貼現率vs.訂購量 45
圖4.6採購成本vs.總成本 46
圖4.7缺貨後補成本vs.總成本 46
圖4.8產品售價vs.總利潤 46

表目錄
表3.1存貨策略 39
表4.1參數組合 41
表4.2利潤結果比較 42

參考文獻 ㄧ、中文部分
郭盈宏(2003),「製造商管理銷售之供應鏈存貨策略」,私立中原大學工業工程研究所碩士論文。

何怡潔(2007),「批量式生產/組裝系統最佳策略之研究」,私立元智大學工業工程與管理學所碩士論文。

黃惠民、謝志光,(2000),「物料管理與供應鏈導論」,滄海書局。

二、英文部分
Agrawal, N., & Cohen, M. A. (2001). Optimal material control in an assembly system with component commonality. Naval Research Logistics, 48(5), 409-429.

American Production and Inventory Control Society(APICS).,
http://www.apics.org/

Baker, K. R., Magazine, M. J., & Nuttle, H. L. W. (1986). The effect of commonality on safety stock in a simple inventory model. Management Science, 32(8), 982-988.

Berk, E., & Gurler, U. (2008). Analysis of the (Q, r) Inventory Model for Perishables with Positive Lead Times and Lost Sales. Operations Research, 56(5), 1238.

Cai, L., Chen, J., & Yan, H. (2004). Technical Note: Single-period two-product inventory model with substitution: Solution and properties. Journal of Systems Science and Systems Engineering, 13(1), 112-123.

Chakrabarty, T., Giri, B. C., & Chaudhuri, K. S. (1998). An EOQ model for items with Weibull distribution deterioration, shortages and trended demand: An extension of Philip's model. Computers and Operations Research, 25(7-8), 649-657.


Cheaitou, A., van Delft, C., Dallery, Y., & Jemai, Z. (2009). Two-period production planning and inventory control. International Journal of Production Economics, 118(1), 118-130.

Chen, F., Ray, S., Song, Y., & Shatin, N. T. (2006). Optimal pricing and inventory control policy in periodic-review systems with fixed ordering cost and lost sales. Naval Research Logistics, 53(2), 117-136.

Cheung, K. L. (2002). The effects of component commonality in an infinite horizon inventory model. Production Planning and Control, 13(3), 326-333.

Chew, E. K. P., Lee, L. H., & Lau, Y. L. (2006). Component commonality in assembled-to-stock systems. IIE Transactions, 38(3), 239-251.

Chiang, C. (2006). Optimal ordering policies for periodic-review systems with replenishment cycles. European Journal of Operational Research, 170(1), 44-56.

de Kok, T. G., & Visschers, J. (1999). Analysis of assembly systems with service level constraints. International Journal of Production Economics, 59(1-3), 313-326.

Ehrhardt, R. (1984). (s, S) Policies for a Dynamic Inventory Model with Stochastic Lead Times. Operations Research, 32(1), 121-132.

ElHafsi, M., Camus, H., Craye, E., & France, L. (2008). Optimal control of a nested-multiple-product assemble-to-order system. International Journal of Production Research, 46(19), 5367-5392.

Eynan, A. (1996). The impact of demands' correlation on the effectiveness of component commonality. International Journal of Production Research, 34(6), 1581-1602.

Eynan, A., & Rosenblatt, M. J. (1996). Component commonality effects on inventory costs. IIE Transactions, 28(2), 93-104.



Federgruen, A., & Zipkin, P. (1986). An inventory model with limited production capacity and uncertain demands II. The discounted-cost criterion. Mathematics of Operations Research, 11(2), 208-215.

Frank, K. C., Ahn, H. S., & Zhang, R. Q. (2009). Inventory policies for a make-to-order system with a perishable component and fixed ordering cost. Naval Research Logistics, 56(2).

Fu, K., Hsu, V. N., & Lee, C. (2006). Inventory and production decisions for an assemble-to-order system with uncertain demand and limited assembly capacity. Operations Research-Baltimore Then Linthicum-, 54(6), 1137.

Fujiwara, O., & Sedarage, D. (1997). An optimal (Q, r) policy for a multipart assembly system under stochastic part procurement lead times. European Journal of Operational Research, 100(3), 550-556.

Fujiwara, O., Soewandi, H., & Sedarage, D. (1997). An optimal ordering and issuing policy for a two-stage inventory system for perishable products. European Journal of Operational Research, 99(2), 412-424.

Gerchak, Y., & Henig, M. (2006). Component commonality in assemble-to-order systems: models and properties. Naval Research Logistics (NRL), 36(1), 61-68.

Goyal, S. K., & Giri, B. C. (2001). Recent trends in modeling of deteriorating inventory. European Journal of Operational Research, 134(1), 1-16.

Gurler, U., & Ozkaya, B. Y. (2008). Analysis of the (s, S) policy for perishables with a random shelf life. IIE Transactions, 40(8), 759-781.

Hausman, W. H., Lee, H. L., & Zhang, A. X. (1998). Joint demand fulfillment probability in a multi-item inventory system with independent order-up-to policies. European Journal of Operational Research, 109(3), 646-659.

Hill, R. M., & Pakkala, T. P. M. (2007). Base stock inventory policies for a multi-item demand process. International Journal of Production Economics, 109(1-2), 137-148.

Hillier, M. S. (1999). Component commonality in a multiple-period inventory model with service level constraints. International Journal of Production Research, 37(12), 2665-2683.

Hillier, M. S. (2000). Component commonality in multiple-period, assemble-to-order systems. IIE Transactions, 32(8), 755-766.

Hillier, M. S. (2002). The costs and benefits of commonality in assemble-to-order systems with a (Q, r)-policy for component replenishment. European Journal of Operational Research, 141(3), 570-586.

Hillier, M. S. (2002). Using commonality as backup safety stock. European Journal of Operational Research, 136(2), 353-365.

Hsu, V. N., Lee, C. Y., & So, K. C. (2006). Optimal component stocking policy for assemble-to-order systems with lead-time-dependent component and product pricing. Management Science, 52(3), 337.

Hwang, H., & Hahn, K. H. (2000). An optimal procurement policy for items with an inventory level-dependent demand rate and fixed lifetime. European Journal of Operational Research, 127(3), 537-545.

Khouja, M. (1999). The single-period (news-vendor) problem: literature review and suggestions for future research. Omega, 27(5), 537-553.

Lu, Y., & Song, J. S. (2005). Order-based cost optimization in assemble-to-order systems. Operations Research, 53(1), 151.

Lu, Y., Song, J. S., & Yao, D. D. (2005). Backorder minimization in multiproduct assemble-to-order systems. IIE Transactions, 37(8), 763-774.

Manna, S. K., & Chaudhuri, K. S. (2006). An EOQ model with ramp type demand rate, time dependent deterioration rate, unit production cost and shortages. European Journal of Operational Research, 171(2), 557-566.

Mirchandani, P., & Mishra, A. K. (2002). Component commonality: models with product-specific service constraints. Production and Operations Management, 11(2), 199-215.
Mohebbi, E., & Choobineh, F. (2005). The impact of component commonality in an assemble-to-order environment under supply and demand uncertainty. Omega, 33(6), 472-482.

Moon, I., & Silver, E. A. (2000). The multi-item newsvendor problem with a budget constraint and fixed ordering costs. Journal of the Operational Research Society,51(5), 602-608.

Nahmias, S. (1982). Perishable inventory theory: A review. Operations Research, 30(4), 680-708.

Nahmias, S., & Pierskalla, W. P. (1976). A two-product Perishable/Nonperishable inventory problem. SIAM Journal on Applied Mathematics, 483-500.
Nonas, S. L. (2009). Finding and identifying optimal inventory levels for systems with common components. European Journal of Operational Research, 193(1), 98-119.

Panda, S., Saha, S., & Basu, M. (2009). An EOQ model for perishable products with discounted selling price and stock dependent demand. Central European Journal of Operations Research, 17(1), 31-53.

Perry, D., & Posner, M. J. M. (1998). An (S-1, S) inventory system with fixed shelf life and constant lead times. Operations Research, 40(3),65-71.

Rao, U. S., Swaminathan, J. M., & Zhang, J. (2004). Multi-product inventory planning with downward substitution, stochastic demand and setup costs. IIE Transactions, 36(1), 59-71.

Rosling, K. (1989). Optimal inventory policies for assembly systems under random demands. Operations Research, 37(4),565-579.

Schmidt. (1985). Optimal policy for a two-stage assembly system under random demand. Operations Research, 3(3), 34-234.

Silver, E. A. (1981). Operations research in inventory management: a review and critique. Operations Research, 29(4), 628-645.


Skouri, K., Konstantaras, I., Papachristos, S., & Ganas, I. (2009). Inventory models with ramp type demand rate, partial backlogging and Weibull deterioration rate. European Journal of Operational Research, 192(1), 79-92.

Sobel, M. J., & Zhang, R. Q. (2001). Inventory policies for systems with stochastic and deterministic demand. Operations Research, 49(1), 157-162.

Williams, C. L., & Patuwo, B. E. (1999). A perishable inventory model with positive order lead times. European Journal of Operational Research, 116(2), 352-373.

Zhang, A. X. (1997). Demand fulfillment rates in an assemble-to-order system with multiple products and dependent demands. Production and Operations Management, 6(3), 309-324.
論文全文使用權限
  • 同意授權校內瀏覽/列印電子全文服務,於2014-07-13起公開。
  • 同意授權校外瀏覽/列印電子全文服務,於2014-07-13起公開。


  • 如您有疑問,請聯絡圖書館
    聯絡電話:(06)2757575#65773
    聯絡E-mail:etds@email.ncku.edu.tw