具有统计检验和随机交货期的联合定价和批量模型

IF 1.1 4区计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Infor Pub Date : 2020-07-20 DOI:10.1080/03155986.2020.1794227

Maryam Safarnezhad, M. Aminnayeri, R. G. Yaghin

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引用次数: 1

摘要

在许多实际情况下，在收到的批次中有一小部分次品在入库前应进行质量评估。在这篇文章中，我们讨论了面对价格敏感需求和随机供应提前期的零售商的联合订货、定价和检验计划问题。收到的批次中不合格品的比例遵循beta分布，买方考虑不同的检验政策，包括不检验、检验和抽样。此外，为了确定最优的订货、定价和检验策略，建立了一种新的非线性优化模型。提出了一种基于模型数学性质的解析求解方法，以寻找最优决策变量。为了证明所建立模型的适用性和所提出算法的有效性，进行了数值研究。

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Joint pricing and lot sizing model with statistical inspection and stochastic lead time

Abstract In many real-world situations, there are a fraction of defective items in a received lot whose quality should be evaluated before storage. In this article, we address the joint ordering, pricing, and inspection planning problem for a retailer facing price-sensitive demand and stochastic supply lead-time. The fraction of nonconforming items in a received lot follows a beta distribution and the buyer considers different kinds of inspection policies that include no inspection, inspection and sampling. Moreover, a novel non-linear optimization model is developed in order to determine optimal ordering, pricing and inspection policies. An analytical solution procedure based on mathematical properties of the model is proposed to find optimal decision variables. Numerical studies are conducted in order to show the applicability of the developed model and effectiveness of the proposed algorithms.

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来源期刊

Infor 管理科学-计算机：信息系统

CiteScore

2.60

自引率

7.70%

发文量

审稿时长

>12 weeks

期刊介绍： INFOR: Information Systems and Operational Research is published and sponsored by the Canadian Operational Research Society. It provides its readers with papers on a powerful combination of subjects: Information Systems and Operational Research. The importance of combining IS and OR in one journal is that both aim to expand quantitative scientific approaches to management. With this integration, the theory, methodology, and practice of OR and IS are thoroughly examined. INFOR is available in print and online.