提高gamma分布式交付时间的交付性能

Q3 Business, Management and Accounting

International Journal of Business Performance and Supply Chain Modelling Pub Date : 2019-07-10 DOI:10.1504/IJBPSCM.2019.10022625

Maxim A. Bushuev, A. Guiffrida

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引用次数: 2

摘要

本文研究了在两阶段供应链中提高最终客户交付绩效的策略。使用基于成本的分析模型来评估如何减少因提前和延迟交付而导致的预期惩罚成本。探讨了配送窗口宽度、gamma分布配送时间分布的形状和尺度参数对期望惩罚成本的影响。该模型可以指导那些试图证明项目成本合理性以改进交付性能的实践者。它还可以用来估计几次交付的成本减少，并将节省的成本与交付性能改进所需的投资进行比较。该模型克服了以前的交货改进研究的局限性，这些研究没有使用最佳定位的交货窗口，并且仅限于对称的交货时间分布。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Improving delivery performance for gamma distributed delivery time

This paper investigates strategies for improving delivery performance to the end customer in a two-stage supply chain. A cost-based analytical model is used to evaluate how the expected penalty cost resulting from early and late delivery can be reduced. The effects of the width of the delivery window and the shape and scale parameters of the gamma distributed delivery time distribution on the expected penalty cost are explored. The model can guide practitioners who are attempting to cost-justify a program to improve delivery performance. It can also be used to estimate cost reduction over several deliveries and compare cost savings with required investments into delivery performance improvement. The model overcomes the limitations of previous delivery improvement studies which did not used an optimally positioned delivery window and were limited to symmetric delivery time distributions.

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来源期刊

International Journal of Business Performance and Supply Chain Modelling Business, Management and Accounting-Business and International Management

CiteScore

2.00

自引率

0.00%

发文量

期刊介绍： IJBPSCM covers original, high-quality and cutting-edge research on all aspects of supply chain modelling, aiming at bridging the gap between theory and practice with applications analysing the real situation to improve business performance. Topics covered include Business performance modelling, strategy Vendor/supplier selection, supplier development, purchasing management Supply chain management (SCM), green supply chain modelling Reverse logistics, closed loop/knowledge-based supply chains, 3PL/4PL Sustainable/quality based/agile/leagile/intelligent SCM Supply chain performance/optimisation/risk/decision making/support systems AI, information sharing in SCM, systems approach to SCM Coordinated/global/flexible SCM, risk mitigation strategies Stochastic supply chain games IT-enabled SCM, fuzzy modelling, data mining Supply chain network management, modelling/simulation, implementation Training/education, information security, RFID Supply chain analysis, transportation decisions, vehicle routing, bullwhip effect Logistics in disaster management Cross-country comparison.