產能限制下的混合式生產環境設計

Hybrid Production Environment Design with Limited Resource Capacity

徐國智(Kuo-Chih Hsu)

指導教授 ： 宮大川

中原大學/工學院/工業工程研究所/碩士(2002年)

https://doi.org/10.6840/cycu200200217

摘要

由於在供應鏈的體系下，資訊科技的發達，導致產品的生命週期縮短及因多樣化的顧客需求環境及顧客要求條件愈來愈高，使得訂單前置時間從過去的幾個禮拜到現在的短短的幾天，要達到如此的績效，必須透過上下游廠商資訊的整合及完善的上下游零組件供應，準確地掌控存量，以降低通路間的庫存成本並避免缺貨。但在實際進行時，往往會因為企業面臨不同的生產環境而有不同的生產決策，以致於影響到整個實體供應鏈的平衡，所以要如何整合設計不同生產環境的特性，即成為混合式生產環境，來達到縮短訂單前置時間與提高顧客服務水準，為本研究的議題。
本研究探討產能限制下的混合式生產環境設計，將問題環境假設為需求數量已知、單一工廠、單一產品與考慮有限產能的因素下，對計畫性生產與訂單式生產環境作有效的整合設計。首先，在第一階段發展數學模式，模式中以缺貨成本、庫存成本及加班成本之總和極小化為目標函數，目的是規劃出產品物料清單（Bill of material，BOM）內各品項之生產方式；再者，於第二階段中將第一階段規劃結果，經由排程機制來模擬現場生產規劃與排程。若規劃結果不盡理想，則透過第一階段調整模式中產能限制，或於第二階段中搭配排程演算法則，反覆調整現場生產規劃與排程，至整個規劃結果為最佳化為止。最後，以顧客服務水準與訂單前置時間作為規劃結果之績效指標，期盼能夠有效地縮短訂單前置時間與提高顧客服務水準。

關鍵字

顧客服務水準 ； 訂單前置時間 ； 混合式生產環境

並列摘要

With the rapid advances in information technology and the connecting supply chain, this has resulted in shortened product life cycle, changing market and increase in customers expectations leading to order lead time being shortened from few weeks in the past to a couple of days in the present. In order to achieve this supply dynamic response, it requires organizing information flow between the upstream and downstream suppliers and the effective supply of component parts in the supply chain. This will allow controlling the inventory, reducing the transit inventory costs and preventing stockout. However, when implementing it in the real world, companies always face different production environment which determine different manufacturing strategies, resulting in the non-synchronization of supply chain flow. This research paper aims to optimize and synchronize the different characteristics of a hybrid production environment to achieve an excellent customer service while fulfilling a shorter order lead-time.
This research examines a Hybrid Production Environment Design with Limited Resource Capacity in a simulated case environment that is single factory and single product with limited production with known demand orders and to achieve effective production planning in make-to-order (MTO) and make-to-stock (MTS) production environment. Firstly, a mathematical model was developed, with the objective to minimize the overall stockout costs, inventory costs, and overtime costs. The objective is to plan the production based on Bills of Materials (BOM) and product items. Next, the second part of the model utilizes the planning results of first part , by letting the scheduling mechanism to simulate the production plans and schedule. If the planning results is not ideal, adjust the model inputs values of first part; or by matching good scheduling algorithms to simulate the production and scheduling continuously until achieving the best production planning outcomes. This model uses the customer service level and orders lead-time as performances to measure the production planning results, hoping to achieve high customer service and lower order lead-time in a hybrid production environment.

並列關鍵字

customer service level ； order lead-time ； hybrid production environment

參考文獻

[8]Adan J.B.F. and J. Wal, “Combine make to order and make to stock,” OR Spektrum 20, pp.73-81, 1998.

[9]Anupindi, R. and Tayur, S., “Managing stochastic multiproduct systems: model, measures, and analysis,” Operations Research 46 Supp.3, S98-S111., 1998.

[10]Arreola-Risa, A. and Decroix G. A., “Make-to-order versus make-to-stock in a production-inventory system with general production times,” IIE Transactions 30, pp.705-713, 1998.

[13]Benjaafar, Saifalash and Sheikhzadeh, Mehdi, “Scheduling policies, bath sizes, and manufacturing lead times”, IIE transactions, Feb 1997, pp.159-166

[16]Cauthen, Rich, “APS technology：Powering supply chain management,”Enterprise System Journal, Vol. 14, Sep 1999, pp.41-48