价格互补且需求随时间变化的两种变质物品的经济订货量模型

IF 1.4 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Scientia Iranica Pub Date : 2023-10-17 DOI:10.24200/sci.2023.59611.6337
David Mahlangu, Olufemi Adetunji, Makoena Sebatjane
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引用次数: 0

摘要

我们提出了一个库存模型,以确定两种相互补充的商品的最优销售价格和周期时间。每种商品的需求受其本身的销售价格、配套产品的销售价格和时间的推移的影响。给出了数值算例和灵敏度分析结果,验证了库存模型的有效性。我们对模型关键参数的变化对库存系统决策变量和目标(盈利能力)的影响进行了敏感性分析。我们观察到,随着任何一种商品的劣化率增加,该模型提出了更短的补货周期长度,这减少了利润。我们的模型的新颖之处在于在经济订货量模型中包含了相互(双向)互补性,其中两个项目都在恶化并且具有时间依赖性需求。
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An economic order quantity model for two deteriorating items with mutually complementary price and time dependent demand
We present an inventory model to determine the optimal selling price and cycle time for two mutually complementary commodities that are subject to deterioration. Each commodity's demand is influenced by its own selling price, the selling price of the complementary product, and the passage of time. Numerical examples and sensitivity analysis results are presented to demonstrate the usefulness of the inventory model. We conducted sensitivity analysis on the impacts of the changes in key parameters of the model on the decision variables and the objective (profitability) of the inventory system. We observed that as the deterioration rate of either item increases, the model proposes shorter replenishment cycle length, which reduces the profit. Our model’s novelty is the inclusion of mutual (two-way) complementarity in the Economic Order Quantity model, where both items are deteriorating and have time-dependent demands.
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来源期刊
Scientia Iranica
Scientia Iranica 工程技术-工程:综合
CiteScore
2.90
自引率
7.10%
发文量
59
审稿时长
2 months
期刊介绍: The objectives of Scientia Iranica are two-fold. The first is to provide a forum for the presentation of original works by scientists and engineers from around the world. The second is to open an effective channel to enhance the level of communication between scientists and engineers and the exchange of state-of-the-art research and ideas. The scope of the journal is broad and multidisciplinary in technical sciences and engineering. It encompasses theoretical and experimental research. Specific areas include but not limited to chemistry, chemical engineering, civil engineering, control and computer engineering, electrical engineering, material, manufacturing and industrial management, mathematics, mechanical engineering, nuclear engineering, petroleum engineering, physics, nanotechnology.
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