| 研究生: |
張貽湘 Chang, Yi-Hsiang |
|---|---|
| 論文名稱: |
具預售手法之多階段易腐性存貨採收販賣政策 The Multi-Stage Harvesting and Selling Policy for the Deteriorating Inventory with Presale Activity |
| 指導教授: |
王泰裕
Wang, Tai-Yue |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 工業與資訊管理學系 Department of Industrial and Information Management |
| 論文出版年: | 2018 |
| 畢業學年度: | 106 |
| 語文別: | 中文 |
| 論文頁數: | 66 |
| 中文關鍵詞: | 易腐性存貨 、多階段採收 、多階段販賣 |
| 外文關鍵詞: | deteriorating inventory, multi-stage harvesting, multi-stage selling |
| 相關次數: | 點閱:66 下載:4 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
存貨管理在各大企業中皆是一項重要的議題,為了避免缺貨的情況發生或是囤積太多貨物導致成本過大,存貨管理能幫助管理者有效的進行補貨及出貨。在現實生活中,有些存貨會隨著時間的經過而產生損壞或腐敗,稱為易腐性商品,常見的有生鮮蔬果、魚肉類等,這類商品管理起來會比傳統存貨管理要困難一些。不同的蔬果有不同的生長特性,有些蔬果採收下後並不能馬上販售給消費者,必須先放置一段時間使蔬果達到最佳風味才可販售,因此對於單一農戶而言如何訂定採收販賣政策是相當重要的議題。除此之外,需求的起伏容易造成單一農戶無法精準了解到哪些是已知需求,為減少需求的不確定性會採用預售的方式來增加需求的確定性,並與相關加工廠簽約,將未售出的蔬果販售給加工廠進行二次加工,減少浪費。因此本研究根據農戶種植蔬果的情形建立一個多階段採收販賣的易腐性存貨模型,並加入預售的手法增加需求,以最大化利潤為目標,找出最佳的採收數量、採收時間以及各階段長度。研究結果發現,有預售手法能增加收入,但價格的訂定上須注意,若是預售之價格太低,雖能增加需求量,但以總體收入來說並無增加,而成本方面並無減少,會造成總利潤下降的情況。經由敏感度分析發現售價、最大種植量、單位持有成本、單位採收成本、需放置天數及腐敗率之形狀參數影響較大,若是想提高利潤可從這些參數項目進行調整,進而達到增加收入,減少成本的效果。
Fruit and vegetable are important food resource. People can buy the fresh fruit and vegetable in the supermarket. However, there are more and more farmers selling their agricultural product by themselves. Fresh fruit and vegetable would deteriorate as time goes by and the value of the fruit and vegetable would also decrease. However, each fruit and vegetable has its own growth characteristics and harvest season, and some fruit and vegetable have to be placed in the warehouse for a while, letting the flavor better. Besides, the demand change would let the famer miscalculate the demand. In order to decrease the uncertainty, presale is one of options can be used. Apart from this, the unsold fruit and vegetable usually are sold to the factory which processes the fruit and vegetable in to frozen ones. In this study, a multiple stages harvesting and selling with presale activity model is implemented to maximize the total profit and develop the inventory policy to find the optimal harvest quantity, harvest time and the length of time of each stage. Finally, a numerical example is provided to verify the appropriation of this model. In addition, the sensitivity analysis is conducted to determine the influences of different parameters with regard to total profit and the harvesting and selling policy. The result shows that selling price, maximum harvest quantity, unit holding cost, unit gathering cost, the number of days that need to place and the deteriorate parameter have significant effect on total profit.
Abad, P.L. (2001). Optimal price and order size for a reseller under partial backordering. Computers & Operations Research, 28(1), 53-65.
Abad, P.L. (2003). Optimal price and lot-sizing under conditions of perishability, finite production and partial backordering and lost sale. European Journal of Operational Research, 144(3), 677-685.
Baker, R.C., and Urban, T.L. (1988). A deterministic inventory system with an inventory level dependent demand rate. The Journal of the Operational Research Society, 39(9), 823-831.
Bakker, M., Riezebos, J., and Teunter, R.H. (2012). Review of inventory systems with deterioration since 2001. European Journal of Operational Research, 221(2), 275-284.
Chang, H.J., Lin, W.F., and Ho, J.F. (2011). Closed-form solutions for Wee’s and Martin’s EOQ models with a temporary price discount. International Journal of Production Economics, 131(2), 528-534.
Cohen, M.A. (1977). Joint pricing and ordering policy for exponentially decaying inventory with known demand. Naval Research Logistic Quarterly, 24(2), 257-278.
Cover, R.P., and Philip, G.C. (1973). An EOQ model for items with Weibull distribution. AIIE Transactions, 5(4), 323-326.
Datta, T.K., and Pal, A.K. (1990). A note on an inventory model with inventory-level-dependent demand rate. The Journal of the Operational Research Society, 41(10), 971-975.
Elsayed, E.A., and Teresi, C. (1983). Analysis of inventory of deterioration item. International Journal of Production Research, 21(4), 449-460
Ferguson, M., and Ketzenberg, M.E. (2006). Information sharing to improve retail product freshness of perishables. Production and Operations Management, 15(1), 57-73.
Ghare, P.M., and Schrader, G.F. (1963). A model for exponentially decaying inventory. Journal of Industrial Engineering, 14(5), 238-243.
Ghiami, Y., Williams, T., and Wu, Y. (2013). A two-echelon inventory model for a deteriorating item with stock-dependent demand, partial backlogging and capacity constraints. European Journal of Operational Research, 231(3), 587-597.
Giri, B.C., and Chaudhuri, K.S. (1998). Deterministic models of perishable inventory with stock-dependent demand rate and nonlinear holding cost. European Journal of Operational Research, 105(3), 467-474.
Giri, B.C., Jalan, A.K., and Chaudhuri, K.S. (2005). An economic production lot size model with increasing demand, shortages and partial backlogging. International Transactions in Operations Research, 12(2), 235-245.
Goel, V.P., and Aggarwal, S.P. (1980). Pricing and ordering policy with general Weibull rate of deteriorating inventory. Indian Journal of Pure Applied Mathematics, 11(5), 618-627.
Goh, M. (1992). Some results for inventory models having inventory level dependent demand rate. International Journal of Production Economics, 27(2), 155-160.
Goyal, S.K. (1985). Economic order quantity under conditions of permissible delay in payments. The Journal of the Operational Research Society, 36(4), 335-338.
Goyal, S.K., and Giri, B.C. (2001). Recent trend in modeling of deteriorating inventory. European Journal of Operational Research, 134(1), 1-16.
Goyal, S.K., and Gunasekaran, A. (1995). An integrated production-inventory-marketing model for deteriorating items. Computers & Industrial Engineering, 28(4), 755-762
Heller, T. (2002). Sales grow so does competition. Progressive Grocer, 81(14), 56-58.
Heng, J.H., Labban, J., and Linn, R.J. (1991). An order-level lot-size inventory model for deteriorating items with finite replenishment rate. Computers & Industrial Engineering, 20(2), 187-19
Kang, S., and Kim, I.T. (1983). A study on the price and production level of the deteriorating inventory system. International Journal of Production Research, 21(6), 899-908.
Khouja, M., Park, S., and Zhou, J. (2013). A free gift card alternative to price discounts in the newsvendor problem. Omega, 41(4), 665-678
Lau, A., and Lau, H.S. (1988). The newsboy problem with price-dependent demand distribution. IIE Transactions, 20(2), 168-175.
Mei, W., Du, L., Niu, B., Wang, J., and Feng, J. (2016). The effects of an undisclosed regular price and a positive leadtime in a presale mechanism. European Journal of Operational Research, 250(3), 1013-1025
Misra, R.B. (1975). Optimum production lot-size model for a system with deteriorating inventory. International Journal of Production Research, 13(5), 495-505.
Mukhopadhyay, S., Mukherjee, R.N., and Chaudhuri, K.S. (2004). Joint pricing and ordering policy for a deteriorating inventory. Computers & Industrial Engineering, 47(4), 339-349.
Nahmias, S. (1982). Perishable inventory theory: a review. Operations Research, 30(4), 680-708.
Philip, G.C. (1974). A generalized EOQ model for items with Weibull distribution. AIIE Transactions, 6(2), 159-162.
Raafat, F. (1991). Survey of literature on continuously deteriorating inventory models. The Journal of the Operational Research Society, 42(1), 27-37.
Sana, S.S., and Chaudhuri, K.S. (2008). A deterministic EOQ model with delays in payments and price-discount offers. European Journal of Operational Research, 184(2), 509-533.
San Jose´, L.A., Sicilia, J., and Garcia-Laguna, J. (2006). Analysis of an inventory system with exponential partial backordering. International Journal of Production Economics, 100(1), 76–86.
San Jose´, L.A., Sicilia, J., and Garcia-Laguna, J. (2009). A general model for EOQ inventory systems with partial backlogging and linear shortage costs. International Journal of Systems Science, 40(1), 59-71.
Shah, Y.K. (1977). An order-level lot-size inventory model for deteriorating items. AIIE Transactions, 9(1), 108-112.
Silver, E.A. (1981). Operations research in inventory management: a review and critique. Operations Research, 29(4), 628-645.
Silver, E.A., Pyke, D.F., and Peterson, R. (1998). Inventory management and production planning and scheduling. NJ: John Wiley & Sons.
Tadikamalla, P.R. (1978). An EOQ model for items with gamma distributed deterioration. AIIE Transactions, 10(1), 100-103.
Teng, J.T. (2002). On the economic order quantity under conditions of permissible delay in payments, The Journal of the Operational Research Society, 53(8), 915-918.
Wee, H.M. (1993). Economic production lot-size model for deteriorating items with partial back-ordering, Computers & Industrial Engineering, 24(3), 449–458
Wee, H.M., and Law, S.T. (1999). Economic production lot size for deteriorating items taking account of the time-value of money. Computers & Operations Research, 26(6), 545–558
Wu, J., Al-khateeb, F.B., Teng, J.T., and Cárdenas-Barrónd, L.E. (2016). Inventory models for deteriorating items with maximum lifetime under downstream partial trade credits to credit-risk customers by discounted cash-flow analysis. International Journal of Production Economics, 171(1), 105-115