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研究生: 張芷瑄
Zhang, Zhi-Xuan
論文名稱: 基於貨架壽命之損耗性商品在允許缺貨下經濟生產批量模式
Based Shelf Life EPQ Models in Deteriorating Item under Permitted Backlogging
指導教授: 吳繼澄
Wu, Ji-Cheng
學位類別: 碩士
Master
系所名稱: 管理學院 - 工業管理系所
Department of Industrial Management
畢業學年度: 110
語文別: 中文
論文頁數: 56
中文關鍵詞: 損耗性商品經濟生產批量貨架壽命缺貨待補
外文關鍵詞: Deteriorating Item, Economic Production Quantity, Shelf Life, Backlogging
DOI URL: http://doi.org/10.6346/NPUST202200035
相關次數: 點閱:20下載:0
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  • 本研究基於可靠度理論中衰變觀點提出以貨架壽命之失效率,取代傳統損耗性商品之損耗率,換言之當損耗性商品之品質特性或功能隨時間退化時,當退化量超出某特定水準時即定義商品失效。例如生鮮肉品的損耗乃是因為微生物隨時間增生所致,而各項肉品微生物的標準衛生福利部皆有制定標準界限。另一方面,部分客戶因忠誠度於缺貨時願意等待,也有部分客戶當缺貨待補的時間過長,因而轉向其他公司購買,此時則會發生喪失銷售機會損失。因此,本研究針對損耗性商品,在允許缺貨的情形下,嘗試建構一個基於貨架壽命之經濟生產批量模式。

    According to the degradation point of view in reliability theory, this study replaces the deteriorating rate with the failure rate of shelf life for deteriorating item. In other words, the quality characteristics or functions will deteriorate over time. When the amount of degradation exceeds a certain level, the failure of commodities is defined. For example, the loss of fresh meat is caused by the proliferation of microorganisms over time, and the Standard Health and Welfare Department of each meat microorganism has set standard boundaries. On the other hand, some customers are willing to wait when they are out of stock due to loyalty, and some customers turn to other companies to buy when they are out of stock for too long, at which time there will be a loss of sales opportunities. Therefore, this study aims at depleting commodities, and attempts to construct an economic production batch model based on shelf life under the condition of allowing stock-outs.

    目錄
    摘要 I
    ABSTRACT II
    謝誌 III
    目錄 IV
    圖目錄 VI
    表目錄 VII
    第壹章 緒論 1
    1.1 研究背景與研究動機 1
    1.2 研究目的 3
    1.3 研究範圍與限制 4
    1.4 研究流程與論文架構 5
    第貳章 文獻探討 7
    2.1 損耗性商品存貨模型 7
    2.2 損耗性商品允許缺貨下完全待補與部分待補 11
    2.3 小結 19
    第參章 研究方法 22
    3.1 符號定義 22
    3.2 允許缺貨下損耗性商品的完全待補存貨模型 23
    3.2.1損耗性商品之退化曲線 24
    3.2.2生鮮肉品之微生物檢測 25
    3.2.3生鮮肉品退化曲線配適 29
    3.2.4貨架壽命觀點下損耗性商品具有生鮮肉品特性之退化失效率 32
    3.2.5具生鮮肉品特性在允許缺貨下之退化損耗性商品EPQ模型建構 34
    第肆章 數值模擬 44
    第伍章 結論與未來研究方向 47
    5.1 結論 47
    5.2 未來研究方向 47
    附錄一 實驗數據 49
    參考文獻 50

    中文文獻
    1. 黃惠民(2007),供應鏈存貨系統設計與管理,滄海圖書出版。
    2. 優良農產品驗證管理辦法:第四條附件一優良農產品肉品項目驗證基準(2017),行政院農業委員會。
    英文文獻
    3. Bardhan, S., Pal, H., & Giri, B. C. (2019). “Optimal replenishment policy and preservation technology investment for a non-instantaneous deteriorating item with stock-dependent demand. ” Operational Research, 19(2), 347-368.
    4. Bonney, M., & Jaber, M. Y. (2013). “Developing an input–output activity matrix (IOAM) for environmental and economic analysis of manufacturing systems and logistics chains. ” International Journal of Production Economics, 143(2), 589-597.
    5. Carter, L. R., & Lee, R. D. (1992). “Modeling and forecasting US sex differentials in mortality. ” International Journal of forecasting, 8(3), 393-411.
    6. Chang, C. T., Cheng, M. C., & Ouyang, L. Y. (2015). “Optimal pricing and ordering policies for non-instantaneously deteriorating items under order-size-dependent delay in payments. ” Applied Mathematical Modelling, 39(2), 747-763.
    7. Chen, W., Li, J., & Jin, X. (2016). “The replenishment policy of agri-products with stochastic demand in integrated agricultural supply chains. ” Expert Systems with Applications, 48, 55-66.
    8. Covert, R. P., & Philip, G. C. (1973). “An EOQ model for items with Weibull distribution deterioration. ” AIIE transactions, 5(4), 323-326.
    9. Deb, M., & Chaudhuri, K. (1987). “A note on the heuristic for replenishment of trended inventories considering shortages. ” Journal of the Operational Research Society, 38(5), 459-463.
    10. Donaldson, W. A. (1977). “Inventory replenishment policy for a linear trend in demand—an analytical solution. ” Journal of the operational research society, 28(3), 663-670.
    11. Dye, C. Y., & Hsieh, T. P. (2012). “An optimal replenishment policy for deteriorating items with effective investment in preservation technology. ” European Journal of Operational Research, 218(1), 106-112.
    12. Dye, C. Y., & Yang, C. T. (2016). “Optimal dynamic pricing and preservation technology investment for deteriorating products with reference price effects. ” Omega, 62, 52-67.
    13. Ghare, P. M. (1963). “A model for an exponentially decaying inventory. ” J. ind. Engng, 14, 238-243.
    14. Ghiami, Y., & Beullens, P. (2016). “Planning for shortages? Net Present Value analysis for a deteriorating item with partial backlogging. ” International Journal of Production Economics, 178, 1-11.
    15. Ghosh, S. K., Khanra, S., & Chaudhuri, K. S. (2011). “An inventory model for a deteriorating item with two levels of storage and stock-dependent demand. ” International Journal of Mathematics in Operational Research, 3(2), 186-197.
    16. Hillege, S., Das, J., & de Ruiter, C. (2010). “The Youth Psychopathic Traits Inventory: Psychometric properties and its relation to substance use and interpersonal style in a Dutch sample of non-referred adolescents. ” Journal of Adolescence, 33(1), 83-91.
    17. Hsu, K. H., Huang, Y. F., Tu, Y. C., & Hwang, M. H. (2010). “A simple method to investigate the effect of service constraint on EPQ model. ” Journal of Information and Optimization Sciences, 31(3), 711-717.
    18. Huang, Z., Fang, H., Li, Q., Li, Z., Zhang, T., Sang, N., & Li, Y. (2018). “Optical remote sensing image enhancement with weak structure preservation via spatially adaptive gamma correction. ” Infrared Physics & Technology, 94, 38-47.
    19. Kumar, S., & Rajput, U. S. (2015). “An inventory model for perishable items with time varying stock dependent demand and trade credit under inflation. ” American Journal of Operations Research, 5(05), 435.
    20. MacDonald, D. G., Bakhshi, N. N., Mathews, J. F., Roychowdhury, A., Bajpai, P., & Moo‐Young, M. (1983). “Alkali treatment of corn stover to improve sugar production by enzymatic hydrolysis. ” Biotechnology and bioengineering, 25(8), 2067-2076.
    21. Mak, K. L. (1987). “Determining optimal production-inventory control policies for an inventory system with partial backlogging. ” Computers & Operations Research, 14(4), 299-304.
    22. Mishra, U., Cárdenas-Barrón, L. E., Tiwari, S., Shaikh, A. A., & Treviño-Garza, G. (2017). “An inventory model under price and stock dependent demand for controllable deterioration rate with shortages and preservation technology investment. ” Annals of operations research, 254(1), 165-190.
    23. Mishra, U., Wu, J. Z., & Sarkar, B. (2021). “Optimum sustainable inventory management with backorder and deterioration under controllable carbon emissions. ” Journal of Cleaner Production, 279, 123699.
    24. Misra, R. B. (1975). “Optimum production lot size model for a system with deteriorating inventory. ” The International Journal of Production Research, 13(5), 495-505.
    25. Nahmias, S. (1982). “Perishable inventory theory: A review. ” Operations research, 30(4), 680-708.
    26. Padmanabhan, G., & Vrat, P. (1995). “EOQ models for perishable items under stock dependent selling rate. ” European Journal of Operational Research, 86(2), 281-292.
    27. Pal, S., Mahapatra, G. S., & Samanta, G. P. (2015). “A production inventory model for deteriorating item with ramp type demand allowing inflation and shortages under fuzziness. ” Economic modelling, 46, 334-345.
    28. Park, K. S. (1982). “Inventory model with partial backorders. ” International journal of systems Science, 13(12), 1313-1317.
    29. Pentico, D. W., Drake, M. J., & Toews, C. (2009). “The deterministic EPQ with partial backordering: a new approach. ” Omega, 37(3), 624-636.
    30. Peterson, C. T., Sharma, V., Elmén, L., & Peterson, S. N. (2015). “Immune homeostasis, dysbiosis and therapeutic modulation of the gut microbiota. ” Clinical & Experimental Immunology, 179(3), 363-377.
    31. Philip, G. C. (1974). “A generalized EOQ model for items with Weibull distribution deterioration. ” AIIE transactions, 6(2), 159-162.
    32. Raafat, F. (1991). “Survey of literature on continuously deteriorating inventory models. ” Journal of the Operational Research society, 42(1), 27-37.
    33. Renshaw, A. E., & Haberman, S. (2003). “On the forecasting of mortality reduction factors. ” Insurance: Mathematics and Economics, 32(3), 379-401.
    34. Salameh, M. K., & Jaber, M. Y. (2000). “Economic production quantity model for items with imperfect quality. ” International journal of production economics, 64(1-3), 59-64.
    35. Sarkar, B. (2012). “An EOQ model with delay in payments and time varying deterioration rate. ” Mathematical and Computer Modelling, 55(3-4), 367-377.
    36. Sarkar, B., Saren, S., & Cárdenas-Barrón, L. E. (2015). “An inventory model with trade-credit policy and variable deterioration for fixed lifetime products. ” Annals of Operations Research, 229(1), 677-702.
    37. Sett, B. K., Sarkar, B., & Goswami, A. (2012). “A two-warehouse inventory model with increasing demand and time varying deterioration. ” Scientia Iranica, 19(6), 1969-1977.
    38. Shaikh, A. A., Cárdenas-Barrón, L. E., Manna, A. K., Céspedes-Mota, A., & Treviño-Garza, G. (2021). “Two Level Trade Credit Policy Approach in Inventory Model with Expiration Rate and Stock Dependent Demand under Nonzero Inventory and Partial Backlogged Shortages. ” Sustainability, 13(23), 13493.
    39. Sicilia, J., González-De-la-Rosa, M., Febles-Acosta, J., & Alcaide-López-de-Pablo, D. (2014). “An inventory model for deteriorating items with shortages and time-varying demand. ” International Journal of Production Economics, 155, 155-162.
    40. 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.
    41. Soni, H. N. (2013). “Optimal replenishment policies for non-instantaneous deteriorating items with price and stock sensitive demand under permissible delay in payment. ” International Journal of Production Economics, 146(1), 259-268.
    42. Tadikamalla, P. R. (1978). “An EOQ inventory model for items with gamma distributed deterioration. ” AIIE transactions, 10(1), 100-103.
    43. Taleizadeh, A. A., Niaki, S. T. A., & Najafi, A. A. (2010). “Multiproduct single-machine production system with stochastic scrapped production rate, partial backordering and service level constraint. ” Journal of Computational and Applied Mathematics, 233(8), 1834-1849.
    44. Taleizadeh, A. A., Noori-daryan, M., & Cárdenas-Barrón, L. E. (2015). “Joint optimization of price, replenishment frequency, replenishment cycle and production rate in vendor managed inventory system with deteriorating items. ” International Journal of Production Economics, 159, 285-295.
    45. Thinakaran, N., Jayaprakas, J., & Elanchezhian, C. (2019). “Survey on inventory model of EOQ & EPQ with partial backorder problems. ” Materials Today: Proceedings, 16, 629-635.
    46. Tiwari, S., Cárdenas-Barrón, L. E., Malik, A. I., & Jaggi, C. K. (2022). “Retailer’s credit and inventory decisions for imperfect quality and deteriorating items under two-level trade credit. ” Computers & Operations Research, 138, 105617.
    47. Wee, H. M. (1995). “A deterministic lot-size inventory model for deteriorating items with shortages and a declining market. ” Computers & Operations Research, 22(3), 345-356.
    48. Wee, H. M. (1997). “A replenishment policy for items with a price-dependent demand and a varying rate of deterioration. ” Production Planning & Control, 8(5), 494-499.
    49. Wee, H. M., & 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.
    50. Wickramaratne, P. J., Weissman, M. M., Leaf, P. J., & Holford, T. R. (1989). “Age, period and cohort effects on the risk of major depression: results from five United States communities. ” Journal of clinical epidemiology, 42(4), 333-343.

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