隨著知識經濟時代的來臨，電子化產品的應用領域日趨廣泛，對半導體元件需求也大幅度成長，使得IC（Integrated Circuit）封裝的需求增加。半導體封裝廠是一典型的代工廠，產品大部份都以少量多樣的型態進行生產，且產品生命週期的縮短與顧客需求的多樣化，使得IC封裝業者必須持續不斷地提升封裝的技術能力，以因應未來漸趨激烈的競爭壓力。
本研究欲探討IC封裝廠於批量分割（Lot Splitting）的生產環境中，透過作業重覆藉此縮短流程時間，但造成子批（Sublot）在生產過程中分散於不同機台加工，使得批量分割後的子批於最終工作站的等候集批時間（Wait-to-batch Time，WTBT）增加。為解決此問題，提出一創新派工法則，預期透過批量完整損失衡量決定子批派工優序，使其降低最終工作站之等候集批時間和週期時間進而滿足顧客交期；為適當呈現現場複雜且具隨機性的加工過程，利用模擬工具建構半導體IC封裝廠製程的生產流程，再藉此模擬模式實驗本研究所提出之創新派工法則及常見的傳統派工法則，如：先進先出、最早到期日及關鍵比率派工法則在不同情境下之執行成效。
本研究所提出的創新派工法則相較於傳統派工法則在週期時間及最終工作站之等候集批時間皆有顯著的改善。接著同時考慮週期時間、平均延遲時間、服務水準與最終工作站之等候集批時間這四項績效衡量準則下，利用多準則決策方法進一步分析，找出適用於不同瓶頸工作站的最佳派工組合。

In the era of the knowledge economy, the application of the electronic products is becoming more extensive. With the shortening of products life cycle and diversification of customer’s demand, IC packaging industry must promote the technological ability of packaging constantly that is in order to deal with intense competition pressure gradually in the future. Furthermore, IC industry is oriented towards manufacturing and service that the key competitiveness is service level.
This paper develops a new dispatching rule, measures the lot loss integrity exposure in order to adjuste the sublots sequence. The proposed procedure is illustrated to begin defining the logic of a new dispatching rule, to describe the product line by using simulation tool, and to experiment the dispatching rules for implementing the improved alternative.
Empirical results show that the cycle time and wait-to-batch time performances of the proposed methodology are usually better than the conventional dispatching rules. This paper considers four performance measure including cycle time, mean tardiness, service level and wait-to-batch time. In order to improve the performances of the whole production, the research applies multiple criteria decision-making method to decide the suitable dispatching rules for bottleneck workstations.

ITIS產業資訊服務網，民98，Available：http://www.itis.org.tw/rptDetail.screen?rptidno=789636245&sort=1&mode=0&rpttype=FY96ITIS_NETREPORT&keyword=IC%E5%B0%81%E8%A3%9D&prdtunits=&mainclasss=
田民波、顏怡文，民94，半導體電子元件構裝技術，五南，臺北市。
李輝煌，民97，田口方法─品質設計的原理與實務，第三版，楊明德，臺北市。
汪大雄，民80，談多準則決策分析─一種的決策方法，臺灣林業，10，8-19。
陳振祥，民86，ODM策略之理論架構與實證，國立台灣大學，臺北市。
蘇朝墩，民86，產品穩健設計─田口品質工程方法的介紹與應用，中華民國品質學會，臺北市。
Anglani, A., Grieco, A., Pacella, M., and Tolio, T., 2002, Object-oriented modeling and simulation of flexible manufacturing systems: a rule-based procedure, Simulation Modelling Practice and Theory, 10, 209-234.
Blackstone, J.H., Philips, J.D.T., and Hogg, D.L., 1982, A state-of-the-art survey of dispatching rules for manufacturing job shop operations, International Journal of Production Research, 25, 1143-1156.
Chan, F.T.S., Chan, H.K., Lau, H.C.W., and Ip, R.W.L., 2003, Analysis of dynamic dispatching rules for a flexible manufacturing system, Journal of Materials Processing Technology, 138, 325-331.
Chang, Y., Sheyoshi, T., and Sullivan, R.S., 1996, Ranking dispatching rules by data envelopment analysis in a job shop environment, IIE Transaction, 28, 631-642.
Chen, C.T., 2000, Extensions of the TOPSIS for group decision-making under fuzzy environment, Fuzzy Sets and Systems, 114, 1-9.
Dabbas, R.M., Chen, H.N., Fowler, J.W., and Shunk, D., 2001, A combined dispatching criteria approach to scheduling semiconductor manufacturing systems, Computers and Industrial Engineering, 39, 307-324.
Guide, V.D.R., 2000, Production planning and control for remanufacturing: industry practice and research needs, Journal of Operations Management, 18, 467-483.
Guo, R.S., Chiang, D.M., and Pai, F.Y., 2007, A WIP-based exception-management model for integrated circuit back-end production processes, The International Journal of Advanced Manufacturing Technology, 33, 1263-1274.
Hopp, W.J. and Spearman, M.L., 2008, Factory Physics, 3rd edition, McGraw-Hill, Boston.
Hwang, C.L. and Yoon, K., 1981, Multiple Attribute Decision Making: Methods and Application, Springer-Verlag, New York.
Jun, J.B., Jacobson, S.H., and Swisher, J.R., 1999, Application of discrete-event simulation in health care clinics: A survey, Journal of the Operation Research Society, 50, 109-123.
Kalir, A.A. and Sarin, S.C., 2000, Evaluation of the potential benefits of lot streaming in flow-shop systems, International Journal of Production Economics, 66, 131-142.
Kelton, W.D., Sadowski, R.P., and Sturrock, D.T., 2007, Simulation with Arena, 4th edition, McGraw-Hill, New York.
Kher, H.V., 2000, Examination of worker assignment and dispatching rules for managing vital customer priorities in dual resource constrained job shop environments, Computers and Operations Research, 27, 525-537.
Kim, G., Park, C.S., and Yoon, K.P., 1997, Identifying investment opportunities for advanced manufacturing systems with comparative-integrated performance measurement, International Journal of Production Economics, 50, 23-33.
Kumar, S., Bagchi, T.P., and Sriskandarajah, C., 2000, Lot streaming and scheduling heuristics for m-machine no-wait flowshops, Computer and Industrial Engineering, 38, 149-172.
Kuo, Y., Yang. T., Cho, C., and Tseng, Y.C., 2008, Using simulation and multi-criteria methods to provide robust solutions to dispatching problems in a flow shop with multiple processors, Mathematics and Computers in Simulation, 78, 40-56.
Lundrigan, R., 1986, What is this call OPT, Production Inventory Management Journal, 27, 2-11.
Micheal, P., 1997, Computer Simulation in Management Science, 3rd edited, John Wiley and Sons, New York.
Rajendran, C. and Holthaus, O., 1999, A comparative study of dispatching rules in dynamic flowshops and jobshops, European Journal of Operational Research, 116, 156-170.
Simchi, L.D., Kaminsky, P., and Simchi, L.E., 2000, Design and managing the supply chain. Concepts, strategies, and cases studies, McGraw-Hill, New York.
Smunt, T.L., Buss, A.H., and Kropp, D.H., 1996, Lot Splitting in Stochastic Flow Shop and Job Shop Environments, Decision Seciences, 27, 215-237.
Spedding, T.A. and Sun, G.Q., 1999, Application of discrete event simulation to the activity based costing of manufacturing systems, International Journal of Production Economics, 58, 289-301.
Steele, D.C., 1995, A structure for lot-tracing design, Production and Inventory Management Journal, 1, 53-59.
Su, C.T. and Tong, L.I., 1997, Multi-response robust design by principal component analysis, Total Quality Management, 8, 409-416.
Wagner, B.J. and Ragatz, G.L., 1994, The impact of lot splitting on due date performance, Journal of Operations Management, 12, 13-25.
Yang, T. and Chou, P., 2005, Solving a multiresponse simulation-optimization problem with discrete variables using a multiple-attribute decision-making method, Mathematics and Computers in Simulation, 68, 9-21.
Yang, T., Chen, M.C., and Hung, C.C., 2007b, Multiple attribute decision-making methods for the dynamic operator allocation problem, Mathematics and Computers in Simulation, 73, 285-299.
Yang, T., Fu, H.P., and Yang, K.Y., 2007c, An evolutionary-simulation approach for the optimization of multi-constant work-in-process strategy─A case study. International Journal of Production Economics, 107, 104-114.
Yang, T., Kuo, Y., and Cho, C., 2007a, A genetic algorithms simulation approach for the multi-attribute combinatorial dispatching decision problem, European Journal of Operational Research, 176, 1859-1873.
Yoon, S.H. and Ventura, J.A., 2004, An application of genetic algorithms to lot-streaming flow shop scheduling, IIE Transactions, 34, 779-787.
Zeleny, M., 1974, A concept of of compromise solutions and the method of the displaced ideal, Computers and Operations Research, 1, 479-496.