在有限的時間週期與生產率,Hill [4]是第一位研究線性需求下經濟生產批量演算法,其演算法是遵循Donaldson [1]的解析表列式演算法,Omar等人[6]假設需求爲線性遞減函數,又提出一種動態規劃演算法,此兩種法爲許多文獻認定爲計算繁瑣且複雜度高的演算法。除此以外,上述兩篇研究無法證明經濟生產批量的總成本爲一凸函數,而保留了此項的推測。本篇研究針對線性需求下經濟生產批量提出一簡單演算法,簡化上述兩篇研究的複雜運算,並使用一個公式涵蓋線性遞增與遞減的問題,更提供完整理論證明經濟生產批量的總成本爲一凸函數。此外,本研究亦提出此問題的數值驗證,由結果證實我們的演算法也可以得到最佳解。
Under a fixed time horizon and a finite production rate, Hill [4] was the first to study the optimal production policy for a linearly increasing demand, but his approach followed Donaldson's analytic approach [1] with a complicated computation using tabular and interpolation. In addition, Omar et al. [6] presented a dynamic programming approach for the same problem with a linearly decreasing demand. Unfortunately, both studies failed to demonstrate the total cost is a convex function in number of production cycles and only provided a conjecture. In this paper, we provide theorems to fill the theoretical gap. Moreover, considering both linearly increasing and decreasing demands, we present a general and simple algorithm to solve this problem for simplifying computation. A general procedure to derive the optimal solution is presented and validations are performed as well. According to our validations, this proposed algorithm can also obtain optimal solutions.