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研究生:李坤憲
研究生(外文):Kun-Hsien Lee
論文名稱:冰品業物料採購模式之研究
論文名稱(外文):The Study about the Material Purchasing Model for an Ice and Fruit Splits Shop
指導教授:武為棣武為棣引用關係
指導教授(外文):Wei-Di Wu
口試委員:蔡明志張宗勝
口試委員(外文):Ming-Chih TsaiTsung-Sheng Chang
口試日期:2019-06-10
學位類別:碩士
校院名稱:國立中興大學
系所名稱:行銷學系所
學門:商業及管理學門
學類:行銷與流通學類
論文種類:學術論文
論文出版年:2019
畢業學年度:107
語文別:中文
論文頁數:58
中文關鍵詞:物料規劃需求最適訂購量冰品零售產業實證研究
外文關鍵詞:Material requirements planningOptimal order quantityShaved ice industryEmpirical research
相關次數:
  • 被引用被引用:0
  • 點閱點閱:307
  • 評分評分:
  • 下載下載:56
  • 收藏至我的研究室書目清單書目收藏:1
根據統計資料顯示,台灣冰品產業每年約有45億新台幣的產值,在這一塊大餅的誘惑下,每年的冰品店家逐年增加,大家也都推陳出新,差異化冰品也持續增加,這也造成了冰品市場的競爭力越來越激烈,在嚴苛的環境下,個案公司F公司卻常因採購決策憑著經營者依據經驗訂貨的方式,導致不必要的浪費,造成利潤減損,顯示其採購決策的重要性。
為減少F公司因為採購決策錯誤而帶來的損失,本研究透過物料需求規劃模型重新制訂了一個採購策略,為了使數理模型可以更合理的解決實務情況,本研究將F公司遇到的實務情況如運費成本或與供應商達成的協議透過限制式加入到模型之中,以最小成本化為目標,求得每一期的最適訂貨量。
最終透過F公司所提供的數據進行實證研究,當F公司採納新的採購策略時,除了有最佳訂貨量可以參考外,也可以降低採購成本與運費成本的支出,並藉由敏感度分析,可以瞭解到外部環境因子對於決策模式的確切影響,最後提出結論與未來建議提供後續研究以及實務應用的參考。
According to the statistical report, Taiwan's shaved ice industry has an annual output value of NT$4.5 billion every year. In this market with great potential, the number of ice shops has increased year by year. All the shops are developing new products, and the number of distinguished shaved ice products are increasing. This has made the shaved ice market more competitive than before. In the difficult moment, the F company used to order according the manager's personal experience. And it sometimes causes unnecessary waste. For this reason, building up an adequate purchasing decision scheme is necessary.
In order to reduce the losses caused by the F company's suboptimal purchasing decisions, our study helps to construct a procurement model based on a simplified the material requirements planning process. In order to make the model fit the practice, we consider the freight cost discount and warehouse capacity limit. Solving the problem integer programming helps the company to minimize the operation cost.
After inputing the empirical data, F Company achieves the optimal procurement strategy, which helps to reduce the cost of purchasing and shipping costs. And through the sensitivity analysis, we demonstrate the impact of external environmental factors on the decision model.
中文摘要 i
Abstract ii
目錄 iii
表目錄 v
圖目錄 vi
第一章 緒論 1
1.1研究背景 1
1.2研究動機 5
1.3研究目的 5
1.4研究流程 6
第二章 文獻回顧 7
2.1最佳訂貨點 7
2.2最適訂貨量 9
2.3採購策略 10
2.4倉儲空間限制 11
第三章 模型建構 14
3.1前言 14
3.2符號定義 14
3.3模型基本假設 15
3.4各項成本說明 17
3.5模型建構 18
第四章 最適決策分析 21
4.1重要參數定義與數值依據 21
4.2需求預測模型演算 24
4.3最佳訂購量規劃求解演算 28
4.4將最佳訂購量總成本與原先總成本的比較 29
第五章 敏感度分析 31
5.1參數持有成本對總成本和各品項冰磚最佳訂購的影響 32
5.2參數單位採購成本對總成本和各品項冰磚最佳訂購的影響 34
5.3參數運費成本對總成本和各品項冰磚最佳訂購的影響 37
5.4參數年需求量對總成本和各品項冰磚最佳訂購的影響 40
5.5各參數對總成本的影響分析 48
5.6各參數對冰磚最佳訂購數的影響分析 49
第六章 結論 52
6.1研究結論 52
6.2研究限制與未來建議 53
參考文獻 55
中文文獻 55
英文文獻 56
中文文獻
公開資料
(1)施芝吟,2018,夏季冰品大戰 日韓冰品搶風頭
http://www.epochtimes.com/b5/18/3/28/n10256960.htm
(2)林玉賢,2015,以不同角度切入冰品市場-探索傳統剉冰與創新思樂冰
http://ba.tchcvs.tc.edu.tw/application/projects/paper_detail.asp?id=11
(3)林玉婷、陳文嫺,2017,夏季冰品大戰開打!六成消費者最愛這款!
https://www.foodnext.net/issue/paper/4616177364
(4)劉馥瑜,2019,超商冰品大戰開打 進口冰打頭陣
https://ctee.com.tw/news/consume/64840.html
(5)陳文姿,2016,專訪鄭明典-台灣暖化趨勢 氣象局百年資料這麼說
https://e-info.org.tw/node/117494
(5)聯合報,2019,全球暖化失控了!近4年氣溫「史上最熱」
https://www.csronereporting.com/news/show/5407
書籍引用
(1)蘇雄義,2000,物流與運籌管理-觀念、機能、整合,華泰文化事業公司

英文文獻
(1)Amirjabbari, B., & Bhuiyan, N. (2014). Determining supply chain safety stock level and location. Journal of Industrial Engineering and Management (JIEM), 7(1), 42-71.
(2)Andersson, H., Axsäter, S., & Jönsson, H. (1981). Hierarchical material requirements planning. THE INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 19(1), 45-57.
(3)Benton, W. C., & Whybark, D. C. (1982). Material requirements planning (MRP) and purchase discounts. Journal of Operations Management, 2(2), 137-143.
(4)Bhunia, A. K., & Maiti, M. (1998). A two warehouse inventory model for deteriorating items with a linear trend in demand and shortages. Journal of the Operational Research Society, 49(3), 287-292.
(5)Brennan, L., & Gupta, S. M. (1993). A structured analysis of material requirements planning systems under combined demand and supply uncertainty. The International Journal of Production Research, 31(7), 1689-1707.
(6)Chang, C. T. (2004). An EOQ model with deteriorating items under inflation when supplier credits linked to order quantity. International journal of production economics, 88(3), 307-316.
(7)Chang, H. J., & Dye, C. Y. (1999). An EOQ model for deteriorating items with time varying demand and partial backlogging. Journal of the Operational Research Society, 50(11), 1176-1182.
(8)Chen, I. J. (2001). Planning for ERP systems: analysis and future trend. Business process management journal, 7(5), 374-386.
(9)Chung, K. J. (1998). A theorem on the determination of economic order quantity under conditions of permissible delay in payments. Computers & Operations Research, 25(1), 49-52.
(10)Coleman, B. J., & McKnew, M. A. (1991). An improved heuristic for multilevel lot sizing in material requirements planning. Decision Sciences, 22(1), 136-156.
(11)Covert, R. P., & Philip, G. C. (1973). An EOQ model for items with Weibull distribution deterioration. AIIE transactions, 5(4), 323-326.
(12)Fudman, I. (1978). U.S. Patent No. 4,113,190. Washington, DC: U.S. Patent and Trademark Office.

(13)Ghobbar, A. A., & Friend, C. H. (2004). The material requirements planning system for aircraft maintenance and inventory control: a note. Journal of Air Transport Management, 10(3), 217-221.
(14)John, K. V., Ramakrishnan, C. V., & Sharma, K. G. (1987). Minimum weight design of trusses using improved move limit method of sequential linear programming. Computers & structures, 27(5), 583-591.
(15)Lee, T. S., & Adam Jr, E. E. (1986). Forecasting error evaluation in material requirements planning (MRP) production-inventory systems. Management Science, 32(9), 1186-1205.
(16)Liao, J. J., Huang, K. N., & Chung, K. J. (2012). Lot-sizing decisions for deteriorating items with two warehouses under an order-size-dependent trade credit. International Journal of Production Economics, 137(1), 102-115.
(17)Maiti, M. K. (2008). Fuzzy inventory model with two warehouses under possibility measure on fuzzy goal. European Journal of Operational Research, 188(3), 746-774.
(18)Mazzola, J. B., Neebe, A. W., & Dunn, C. V. (1989). Production planning of a flexible manufacturing system in a material requirements planning environment. International Journal of Flexible Manufacturing Systems, 1(2), 115-142.
(19)Meal, H. C., Wachter, M. H., & Whybark, D. C. (1987). Material requirements planning in hierarchical production planning systems. International Journal of production research, 25(7), 947-956.
(20)Morecroft, J. D. (1983). A systems perspective on material requirements planning. Decision Sciences, 14(1), 1-18.
(21)Pan, A. C. (1989). Allocation of order quantity among suppliers. Journal of Purchasing & Materials Management, 25(3), 36-40.
(22)Parlar, M., & Berkin, D. (1991). Future supply uncertainty in EOQ models. Naval Research Logistics (NRL), 38(1), 107-121.
(23)Plenert, G. (1999). Focusing material requirements planning (MRP) towards performance. European Journal of Operational Research, 119(1), 91-99.
(24)Polatoglu, L. H. (1991). Optimal order quantity and pricing decisions in single-period inventory systems. International Journal of Production Economics, 23(1-3), 175-185.
(25)Ritchie, E. (1984). The EOQ for linear increasing demand: a simple optimal solution. Journal of the Operational Research Society, 35(10), 949-952.
(26)Steinberg, E., & Napier, H. A. (1980). Optimal multi-level lot sizing for requirements planning systems. Management Science, 26(12), 1258-1271.

(27)Trigeiro, W. W., Thomas, L. J., & McClain, J. O. (1989). Capacitated lot sizing with setup times. Management science, 35(3), 353-366.
(28)Umap, H. P. (2010). Fuzzy EOQ model for deteriorating items with two warehouses. Journal of Statistics and Mathematics, 1(2), 1.
(29)Wacker, J. G. (1985). A theory of material requirements planning (MRP): an empirical methodology to reduce uncertainty in MRP systems. International journal of Production research, 23(4), 807-824.
(30)Whybark, D. C., & Williams, J. G. (1976). Material requirements planning under uncertainty. Decision sciences, 7(4), 595-606.
(31)Zhao, X., & Lam, K. (1997). Lot-sizing rules and freezing the master production schedule in material requirements planning systems. International Journal of Production Economics, 53(3), 281-305.
(32)Zhao, X., & Lee, T. S. (1993). Freezing the master production schedule for material requirements planning systems under demand uncertainty. Journal of operations management, 11(2), 185-205.
(33)Zhao, X., & Lee, T. S. (1996). Freezing the master production schedule in multilevel material requirements planning systems under deterministic demand. Production Planning & Control, 7(2), 144-161.

書籍引用
(1)Heisig, G. (2012). Planning stability in material requirements planning systems (Vol. 515). Springer Science & Business Media.
(2)Monczka, R. M., Handfield, R. B., Giunipero, L. C., & Patterson, J. L. (2015). Purchasing and supply chain management. Cengage Learning.
(3)Stadtler, H., & Kilger, C. (2002). Supply chain management and advanced planning (Vol. 4). Springer-Verlag.
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