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以先進規劃系統處理突發性生產規劃

Constructing an APS System for Spot-Order Production Planning

摘要


在消費者需求改變、科技的快速進步及激烈競爭下,如何創造競爭優勢,已成為企業經營的核心議題。本研究嚐試建構一先進規劃排程APS(advanced planning and scheduling)系統以為快速變動的現今企業提供一決策參考之平台。此APS系統具全面性考量、同步性、即時性並結合電腦強大的儲存及運算能力,以處理確定性與突發性訂單情境下之整合性問題和即時性之分析,並期在有限的企業生產能力下達成最小成本的目標。本研究乃針對多產品訂單、多工廠生產、生產的設定成本、多物料採購與持有、限制訂單交期、製成品平均良率及成品庫存等考量因素下建構一以最小成本為目標的整數非線性規劃INLP(integer nonlinear programming)模型。此外,本模式在求解方面則利用Lingo 9.0 extended version套裝軟體內建之Global Solver進行運算,並舉一數值範例進行求解說明。本研究因具有高度的重現性和符合實務上的應用,因此可為具有卓越眼光的決策者提供有價值之參考工具。

並列摘要


The core business issue of an enterprise is to create a competitive advantage under rapid changes in customer preferences. The aim of this study, based on an APS (advanced planning and scheduling) perspective, is to establish a system for providing a referenced decision-making platform under the current complex environment. Combining synchronized, real-time, comprehensive characteristics and the quick computational capability of the computer, this system is able to integrate diverse products, deadlines, production, materials and inventory to deal with a deterministic order and spot-order situations under considerations of the lowest cost with finite production capacity. This study not only considers multi-product orders, multi-factory production, multi-material purchasing, diverse-order deadlines, production-yield means, product-inventory costs, and production set-up costs, but also provides a material holding cost to construct an Integer Nonlinear Programming (INLP) mathematical model with the lowest cost. This model can function as a decision-making tool for focusing on the overall and real-time analyses of multiple orders for multi-factory production planning. In addition, the proposed mathematical model is constructed by the syntax of the extended version of the software package Lingo 9.0, selecting a built-in Global Solver as its solution method, followed by a numerical example. This study creates a highly repetitive characteristic because of the application of Lingo 9.0; therefore, it can be considered as a valuable decision tool.

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