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International Journal of Operational Research最新文献

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A Production Model for Deteriorative items with Time Dependent Demand and Possible Adjustment of the Production Rate 需求随时间变化及生产率可能调整的变质物品生产模型
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijor.2023.10054233
V. R, Sivashankari C.K.
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引用次数: 0
Multi-item EOQ model for deteriorating items having multivariate dependent demand with variable holding cost and trade credit 具有可变持有成本和贸易信用的多元依赖需求的变质物品多项目EOQ模型
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijor.2023.131493
D. Yadav, S.R. Singh, Manisha Sarin
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引用次数: 1
Data-Driven Approaches for Decision-Making in Advanced Manufacturing Systems: A Systematic Literature Review 先进制造系统中数据驱动的决策方法:系统文献综述
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijor.2023.10058496
Mahesh Chand, S. Goyal, Vimlesh Kumar Ojha
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引用次数: 0
Multi-objective optimisation for solving cooperative continuous static games using Karush-Kuhn-Tucker conditions 基于Karush-Kuhn-Tucker条件的合作连续静态博弈多目标优化
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijor.2023.128544
H. Khalifa, Pavan Kumar
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引用次数: 3
Comparing classical time-series models and machine learning for demand forecast on the beverage industry in COVID-19 pandemic. 基于经典时间序列模型和机器学习的饮料行业需求预测研究
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijor.2023.10059084
Ana Camilla Macedo, Caio B. S. Maior
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引用次数: 0
A mixed-integer quadratic programming production-transportation problem 混合整数二次规划生产运输问题
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijor.2023.134781
Dominic Otoo, Bernard Atta Adjei, Sampson Takyi Appiah
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引用次数: 0
Analysing a queueing network of the emergency department with deteriorating health in post-disaster situations 灾后健康状况恶化的急诊科排队网络分析
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijor.2023.134782
Sara Benvidi, Tooba Asghari, Amir Aghsami, Fariborz Jolai
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引用次数: 0
Non-Convex Queue Time-bound Optimal Load Balancing 非凸队列限时最优负载均衡
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijor.2023.10060407
Najeeb Al Matar
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引用次数: 0
Permutation flow shop scheduling with early and late penalty costs using the Jaya algorithm 基于Jaya算法的具有早、晚惩罚成本的置换流水车间调度
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijor.2023.10059626
M.K. Khurana, Raunaque Paraveen
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引用次数: 0
The effect of lead-time variability on inventory: expected on-hand inventory vs. safety stock 交货期变化对库存的影响:预期库存与安全库存
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijor.2023.134406
Xiaoming Li, Chunxing Fan
Many papers and textbooks use safety stock as the inventory performance measure. But, this is only an approximation. Moreover, the lead-time variability causes conflicting effects on safety stock. In this paper, we argue that the right performance measure should be the expected on-hand inventory, which is consistent with the standard newsvendor problem. Then, the results always call for lead-time variability reduction, which always reduces both the expected on-hand inventory and the expected shortage inventory. These results are consistent and also indicate increased fill rates or service levels. We further show that the expected on-hand inventory and the expected shortage inventory are convex functions. When lead-time variability increases, lead-time demand spreads out further to both left and right tails, and thus causes higher expected on-hand inventory, higher expected shortage inventory, and higher cost. We finally present numerical examples to show managerial insights for decision makers in industry.
许多论文和教科书使用安全库存作为库存绩效衡量标准。但是,这只是一个近似值。此外,交货期的变化会对安全库存产生相互矛盾的影响。在本文中,我们认为正确的绩效度量应该是预期库存,这与标准报贩问题是一致的。然后,结果总是要求减少交货期的可变性,这总是减少预期的库存和预期的缺货库存。这些结果是一致的,也表明增加了填充率或服务水平。进一步证明了期望库存和期望缺货库存是凸函数。当交货期可变性增加时,交货期需求进一步向左右两端扩散,从而导致更高的预期库存、更高的预期缺货库存和更高的成本。最后,我们提出数值例子,以显示管理的见解,为决策者在工业。
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引用次数: 0
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International Journal of Operational Research
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