在這個快速發展以及競爭激烈的時代，產品上市的時間點對企業獲利佔極大的影響，在產品上市前最重要階段就是開發階段，其中在開發階段所需的成本又分為有形及無形的，有形的是產品、物料、新設備導入等成本；無形的就屬派工不良、加工不良或是重工所造成的時間成本，往往許多企業都忽略無形成本這一個區塊，讓加工不良事件或重工的情況發生，卻無一套完整機制可以改善，所以本研究將針對該問題加以研究探討，並設計出一套完整模型來改善整個加工流程的時間。
一家企業能夠永續生存成本的控制是非常重要的，以新產品開發為例，開發時間越短產品就能快速上市，對公司就越有利，且目前因產品多樣化，所需要的加工工序就越多，所以在專業的分工就顯得重要，在連續排程的供應鏈中，最主要問題就是等候時間長，所以派工排程的決策就顯得重要。
過去決定派工廠商均以最低價者承製，並無考慮到廠商排程、等待時間及重工問題，如無考慮以上項目，往往導致產品延遲完工，造成企業的損失，本研究將以上因素逐一分析，並且設計出一組演算模型來做為日後新產品派工時的重要參考依據，並且達到縮短開發時程及減少加工不良的成效。
文中以訂單數量及交期時間設計出四種情境，研究結果在訂單少且交期長的情形下可縮0.8天；在訂單多且交期短的情況下所能縮短的時間增加為9.55天，故此研究模型在環境相對嚴苛時，確實可達到縮短等待時間的成效。

In this fast-growing and highly competitive era, if companies seek to sustain themselves and to survive, they should employ the influential power of the release time of new products intended to increase profits. Before the release of such products, a development period prevails. Most companies contract a number of parts and components to downstream manufacturers during this development period. Currently, most companies have adopted the lowest bid as the criteria by which a contractor is chosen to supply manufacturing parts and components instead of taking each supplier's processing capacity and processing loads into consideration. An adverse contract may cause rework of a product or postponed delivery of parts and components, resulting in a long waiting period for processing, which will further affect the completion time of the whole set of products. In this study, therefore, we design a set of mathematic modes and also take each supplier's processing capacity and processing loads into consideration to reduce the occurrence of adverse contracts. We then compare the research results with the actual completion time of the processors, finding that the process can be reduced by 54-154 working days and that the completion time can be shortened.

中文文獻
徐懿亨 (2007)考量刀具數量及刀具壽命下單階非相關平行機台現場管控系統之研究，屏東科技大學工業管理研究所，碩士論文
張保隆、陳文賢、蘇明晃、姜齊、盧昆宏、王瑞琛、黃明官 (2006)，生產管理，華泰文化事業股份有險公司
陳春龍 (2006)以派工法則求解印刷電路板排程問題，行政院國家科學委員會專題計畫
黃士滔，楊婷詒(2014)運用ANP與階層式灰關聯探討未分類其他金屬製品製造業之供應商評選，工程科技與教育學刊， Vol.1, No.11, pp. 113-130.
黃麟貴 (2013)鋼鐵業直棒製程之平行機台重工排程問題，國立成功工業與資訊管理學系，碩士論文
蘇建龍 (2005)應用蟻族尋優法進行非相關平行機台排程探討，屏東科技大學工業管理系，碩士論文
劉仲立 (2003)雙重資源限制下開放型工廠派工法則模擬研究，朝陽科技大學工業工程與管理系，碩士論文

英文文獻
Amid A., Ghodsypour S. H. & O’Brien C. (2009), A weighted additive fuzzy multiobjective model for the supplier selection problem under price breaks in a supply chain, International Journal of Production Economics , Vol.121, No.2, pp. 323–332.
Cebi, F., & Bayraktar. D. (2003), An integrated approach for supplier selection,
Logistics Information Management, Vol.16, No.3, pp.395–400.
Cao Y., Luo X., Kwong C.K. & Tang J. (2014), Supplier pre-selection for platform-based products: a multi-objective approach, International Journal of Production Research, Vol.52, No.1, pp.1-19.
Chen, C. T., Lin, C. T. & Huang, S. F. (2006), A fuzzy approach for supplier evaluation and selection in supply chain management, International Journal of Production Economics , Vol.102, No.2, pp. 289–301.
Chen, J., Yao, DD., & Zheng, S.(2001), Optimal replenishment and rework with multiple unreliable supply sources, Operations Research, Vol.49, No.3, pp. 430-443.
Chiu, Y. P., Liu, S-C., Chiu, C-L., & Chang, H-H.(2011), Mathematical modeling for determining the replenishment policy for EMQ model rework and multiple shipments, Mathmatical and Computer Modelling. Vol.54, pp.2165-2174.

Chuang, S. P., Lee, S. C. & Hsu, T. S. (2008), Enhanced performance of overlap flow-shop
scheduling involving reworking and a time buffer, The International Journal of Advanced Manufacturing Technology, Vol.39, pp. 142–150.
Ebrahim RM., Razmi J. & Haleh H. (2009), Scatter search algorithm for supplier selection and order lot sizing under multiple price discount environment, Advances in Engineering Software, Vol.40, No.6, pp.766–776.
Gencer, C. & Gurpinar, D.(2007), Analytic network process in supplier selection：A case study in an electronic firm, Available Mathematical Modeling, Vol.34, No.4, pp. 2241-2253.
Ghodsypour, S.H. & O’Brien, C. (2001), The total cost of logistics in supplier selection, under conditions of multiple souring, multiple criteria and capacity constraint,
International Journal of Production Economics , Vol.73, pp. 15-27.
Goffin, K., Szwejczewski, M. & New, C.(1997), Managing suppliers：When fewer can mean more. International Journal of Physical Distribution & Management, Vol.27, No.7, pp. 422-436.
Gupta, S.,& V. Krishnan.(1999) , Integrated component and supplier selection for a
product family, Production and Operations anagement, Vol.8, No.2, pp. 163-182.
Inderfurth, K., Linder, G., & Rachaniotis, N.P. (2005), Lot sizing in a production system with rework and product deterioration, International Journal of Production Research, Vol.43, No.7, pp. 1355-1374.
Ishizaka, A. & Labib, A. (2009), Analytic hierarchy process and expert choice: benefits and limitations, OR Insight, Vol.22, No.4, pp201-220.
Kang, Y. H., & Shin, H. J.(2010), An adaptive scheduling algorithm for a parallel machine problem with rework process, International Journal of Production Research, Vol.48, No.1, pp. 95-115.
Kahraman, C., Cebeci, U. and Ulukan, Z. (2003), Multi-criteria supplier selection using fuzzy AHP, Logistics Information Management, Vol.16, No.6, pp. 382-394.
Lee, A. H. I., Kang H.-Y. & Yang C.-Y. (2012) , A fuzzy ANP model for supplier selection as applied to IC packaging, Journal of Intelligent Manufacturing, Vol.23, No.5, pp. 1477–1488
Minner, S. (2003), Multiple-supplier inventory models in supply chain management: A
review, International Journal of Production Economics, Vol.81-82, No.11, pp. 265-
279.
Mitsuru Kuroda & Zeng Wang (1996), Fuzzy job shop scheduling, International Journal of Production Economics , Vol.44, No.1-2, pp. 45-51.
.

Mohsen, J. A., Madjid, T., Ali, Z. and Mohammad, H. K. (2011), A supplier selection and order allocation model with multiple transportation alternatives, Orginal Article, Vol.52, No.1-4, pp. 365-376.
Ozcau, K. & Suzan, A. O. (2011), Fuzzy AHP approach for supplier selection in a washing machine company, Expert Systems with Applications, Vol.38, No.8, pp. 9656-9664
Shin, H. J., & Kang, Y. H.(2010) ,A rework-based dispatching algorithm for module process in TFT-LCD manufacture, International Journal of Production Research, Vol.48, No.3, pp. 915-931.
Saaty, Thomas.L (2005), The analytic hierarchy and analytic network for the measurement of intnglble criteria and decision-making, International Series in Operations Research & Management Science , Vol.787, pp. 345-405.
Tsai, W.-H. & Hung, S.-J. (2009), A fuzzy goal programming approach for green supply chain optimisation under activity-based costing and performance evaluation with a value-chain structure, International Journal of Production Research, Vol.47, No.18, pp. 4991-5017.