Inventory model for the growing items with price dependent demand, mortality and deterioration

Amit Kumar Saraswat, Ashish Sharma
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引用次数: 1

Abstract

Growing items like livestock, chicks, etc. gain weight in the growing phase but some of them are lost due to mortality. In the selling phase, some inventory is lost due to deterioration. Such aspects make procurement decisions quite difficult for these items. In the light of such aspects, we developed an inventory model for the growing items with price dependent demand, mortality and deterioration. Shortages are partially backlogged. Our aim is to optimise the total cost by determining the optimal ordered quantity and total cycle length. Convexity of the cost function with respect to the decision variables has been discussed analytically. Solution procedure along with numerical example at different percentage of backlogged quantity is provided to show the applicability and validity of our model. Sensitivity analysis shows that total cycle length is the most sensitive among all the decision variables and parameters.
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具有价格依赖需求、死亡率和劣化的成长型商品库存模型
牲畜、小鸡等生长物在生长阶段会增重,但其中一些会因死亡而损失。在销售阶段,一些库存由于变质而损失。这些方面使得这些项目的采购决策相当困难。针对这些方面,我们建立了具有价格依赖需求、死亡率和劣化的增长型物品的库存模型。短缺部分是积压的。我们的目标是通过确定最优订货量和总周期长度来优化总成本。对成本函数对决策变量的凸性进行了分析讨论。给出了不同积压量百分比下的求解过程和数值算例,说明了模型的适用性和有效性。灵敏度分析表明,总周期长度是所有决策变量和参数中最敏感的。
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来源期刊
International Journal of Operational Research
International Journal of Operational Research Decision Sciences-Management Science and Operations Research
CiteScore
1.50
自引率
0.00%
发文量
57
期刊介绍: IJOR is a fully refereed journal generally covering new theory and application of operations research (OR) techniques and models that include inventory, queuing, transportation, game theory, scheduling, project management, mathematical programming, decision-support systems, multi-criteria decision making, artificial intelligence, neural network, fuzzy logic, expert systems, and simulation. New theories and applications of operations research models are welcome to IJOR. Modelling and optimisation have become an essential function of researchers and practitioners in a networked global economy. New theory development in operations research and their applications in new economy and society have been limited.
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