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A time-expanded network design model for staff allocation in mail centres 邮件中心人员分配的时间扩展网络设计模型
IF 3.6 4区 管理学 Q1 Decision Sciences Pub Date : 2023-12-05 DOI: 10.1080/01605682.2023.2287613
Hamish Thorburn, Anna-Lena Sachs, Jamie Fairbrother, John E. Boylan
We consider a staff allocation problem at a sequential sorting facility. In this facility, staff need to be assigned to work areas, through which commodities flow sequentially to be processed. Assi...
我们考虑的是一个顺序分拣设施的人员分配问题。在该设施中,需要将员工分配到工作区域,商品按顺序流经这些区域进行处理。分配...
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引用次数: 0
Improving disaster relief plans for hurricanes with social media 利用社交媒体改进飓风救灾计划
IF 3.6 4区 管理学 Q1 Decision Sciences Pub Date : 2023-11-27 DOI: 10.1080/01605682.2023.2288279
Jomon A. Paul, Minjiao Zhang, Muer Yang, Chong Xu
Decisions on humanitarian responses to natural disasters are subject to considerable epistemic uncertainty. This paper advocates for postponing the decision point of pre-positioning relief supplies...
关于对自然灾害作出人道主义反应的决定在认识上存在相当大的不确定性。本文主张推迟救灾物资预定位决策点。
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引用次数: 0
Strategic investment under uncertainty: why multi-option firms lose the preemption run 不确定性下的战略投资:为什么多期权公司会失去优先购买权
IF 3.6 4区 管理学 Q1 Decision Sciences Pub Date : 2023-11-23 DOI: 10.1080/01605682.2023.2281535
Wencheng Yu, Xingang Wen, Nick F. D. Huberts, Peter M. Kort
We consider a dynamic duopoly game where firms choose both the timing and size of their investments. The existing real options literature predominantly consists of contributions where firms have a ...
我们考虑一个动态的双寡头博弈,其中公司选择投资的时机和规模。现有的实物期权文献主要由公司有…
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引用次数: 0
Dynamic equilibrium mechanism of the closed-loop electric vehicle industry chain based on super-network model 基于超网络模型的闭环电动汽车产业链动态平衡机制
IF 3.6 4区 管理学 Q1 Decision Sciences Pub Date : 2023-11-23 DOI: 10.1080/01605682.2023.2280040
Zhuoxi Long, Benhai Guo, Jiana Chu
At present, electric vehicle (EV) development has been widely accepted as a coping strategy by countries encountering environmental issues. However, there remain some uncertainties surrounding the ...
目前,发展电动汽车已成为各国面临环境问题时普遍采用的应对策略。然而,围绕……仍存在一些不确定性。
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引用次数: 0
Research on comprehensive optimisation of AGVs scheduling at intelligent express distribution centres based on improved GA 基于改进遗传算法的智能快递配送中心agv调度综合优化研究
IF 3.6 4区 管理学 Q1 Decision Sciences Pub Date : 2023-11-21 DOI: 10.1080/01605682.2023.2283518
Shuaihui Tian, Chengyang Huangfu, Xueping Deng
This study addresses optimisation challenges in scheduling automatic guided vehicles (AGVs) for express distribution centres. A comprehensive model is developed that simultaneously considers makesp...
本研究解决了快递配送中心自动导引车(agv)调度中的优化问题。建立了一个综合模型,同时考虑了…
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引用次数: 0
Multi-group decision-making approach for evaluating brand collaboration requirements of large-scale manufacturing industrial value chain 大型制造产业价值链品牌协同需求评价的多群体决策方法
IF 3.6 4区 管理学 Q1 Decision Sciences Pub Date : 2023-11-15 DOI: 10.1080/01605682.2023.2274445
Congdong Li, Xingyu Chen, Yinyu Yu
Brand collaboration requirement (BCR) evaluation is a key premise for core manufacturing enterprises to lead the collaborative brand construction of a large-scale manufacturing industry value chain...
品牌协同需求(BCR)评价是核心制造企业主导大规模制造业价值链协同品牌建设的关键前提。
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引用次数: 0
Technology options and optimal pricing of a two-sided mobile payment platform 双边移动支付平台的技术选择与最优定价
IF 3.6 4区 管理学 Q1 Decision Sciences Pub Date : 2023-11-15 DOI: 10.1080/01605682.2023.2274953
Yu-Hung Chen, Ling-Chieh Kung, Chieh-Hsiang Hu, Chien-Yu Huang
This study investigates the pricing strategies of a mobile payment platform connecting merchants and customers who may bypass the platform and trade in cash. Our analytical model incorporates cross...
本研究探讨了一个连接商家和客户的移动支付平台的定价策略,这些客户可能会绕过平台进行现金交易。我们的分析模型包含交叉…
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引用次数: 0
An adaptive multi-objective optimal forecast combination and its application for predicting intermittent demand 自适应多目标最优预测组合及其在间歇性需求预测中的应用
4区 管理学 Q1 Decision Sciences Pub Date : 2023-11-07 DOI: 10.1080/01605682.2023.2277865
Nachiketas Waychal, Arnab Kumar Laha, Ankur Sinha
AbstractWhile time series forecasting models are generally trained by optimising certain forms of error, the end-user’s forecasting needs in a multi-objective setting can be broader, and often mutually conflicting. A production manager may prioritise high product fill rates and low average inventory resulting from a forecast over just low error. The conflict among multiple objectives is notably worrisome in intermittent demand forecasting, where error-minimising approaches can devalue the practitioner’s objectives. To address such forecasting problems, we propose an Adaptive Multi-objective Optimal Combination (AMOC) of forecasts which incorporates the end-user’s preferences across multiple objectives. We demonstrate the use of AMOC in a real-life application of intermittent demand forecasting for optimising four distinct inventory management objectives using five specialised forecasting methods across single-period and multi-period inventory handling scenarios. Additionally, we conduct a comprehensive experiment on a subset of M5 competition data to exhibit the robustness of the AMOC using 13 diverse forecasting methods and four statistical objectives.Keywords: Time series forecastingmulti-objective optimisationpreference value functionadaptive algorithmforecast combination Disclosure statementNo potential conflict of interest was reported by the authors.Notes1 An older working paper was available at the IIMA Research and Publications department (https://www.iima.ac.in/sites/default/files/rnpfiles/73560124152022-06-04.pdf?cv=1).
摘要虽然时间序列预测模型通常是通过优化某些形式的误差来训练的,但是最终用户在多目标设置中的预测需求可能更广泛,并且经常相互冲突。生产经理可能会优先考虑高产品填充率和低平均库存,这是由于预测而不是低错误。在间歇性需求预测中,多个目标之间的冲突尤其令人担忧,在这种情况下,最小化误差的方法可能会降低从业者的目标。为了解决这些预测问题,我们提出了一种自适应多目标最优组合(AMOC)的预测,它包含了终端用户在多个目标上的偏好。我们演示了AMOC在间歇性需求预测的现实应用中的使用,通过在单期和多期库存处理场景中使用五种专门的预测方法来优化四种不同的库存管理目标。此外,我们使用13种不同的预测方法和4个统计目标对M5竞争数据子集进行了全面的实验,以展示AMOC的稳健性。关键词:时间序列预测多目标优化偏好值函数自适应算法预测组合披露声明作者未报告潜在利益冲突注1 IIMA研究和出版部提供了较旧的工作文件(https://www.iima.ac.in/sites/default/files/rnpfiles/73560124152022-06-04.pdf?cv=1)。
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引用次数: 0
A critical review of planning and scheduling in steel-making and continuous casting in the steel industry 钢铁工业炼钢和连铸的计划和调度评述
4区 管理学 Q1 Decision Sciences Pub Date : 2023-11-07 DOI: 10.1080/01605682.2023.2265416
Myungho Lee, Kyungduk Moon, Kangbok Lee, Juntaek Hong, Michael Pinedo
AbstractSteel-making and continuous casting (SCC) processes are considered the main bottlenecks in the steel industry. We consider planning and scheduling problems in SCC processes and provide an overview of the literature with our commentary. The planning problem has as goal to create out of customer orders production units for the various production processes. The scheduling problem assigns these production units to the production facilities over different time intervals. We review a large number of planning and scheduling papers and propose two basic models for the planning and the scheduling problems that incorporate the most common and essential features. We describe for each problem the respective constraints and objectives as well as the practical implications in an actual production environment. We also analyse the methodologies used in their solutions, including decomposition strategies. In the last section, we present the conclusions of our survey and propose new research directions.Keywords: Steel-makingcontinuous castingproduction planningschedulingsurvey Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (Grant Number: NRF-2023R1A2C200694911).
摘要炼钢和连铸工艺被认为是钢铁工业的主要瓶颈。我们考虑SCC过程中的计划和调度问题,并提供文献综述和我们的评论。计划问题的目标是为各种生产过程创建客户订单之外的生产单元。调度问题将这些生产单元在不同的时间间隔内分配给生产设施。我们回顾了大量的规划和调度论文,并提出了两个基本模型的规划和调度问题,其中包含了最常见和最基本的特征。我们描述了每个问题各自的约束条件和目标,以及在实际生产环境中的实际含义。我们还分析了他们的解决方案中使用的方法,包括分解策略。最后,我们给出了调查的结论,并提出了新的研究方向。关键词:炼钢连铸生产计划调度调查披露声明作者未报告潜在利益冲突。本研究由韩国政府(MSIT)资助的韩国国家研究基金会(NRF)资助(资助号:NRF- 2023r1a2c200694911)。
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引用次数: 0
Integrated stochastic multicriteria acceptability analysis and data envelopment analysis with fixed-sum outputs: an application for evaluating participating nations in the Winter Olympics Games 固定和产出的随机多准则可接受性分析与数据包络分析的集成——在冬奥会参赛国评价中的应用
4区 管理学 Q1 Decision Sciences Pub Date : 2023-11-07 DOI: 10.1080/01605682.2023.2277251
Danlu Zhang, Feng Li, Lin Wei
AbstractAlong with the popularity of Olympic Games, evaluating and ranking participating nations has become one of the hottest issues in recent years. Data envelopment analysis (DEA) is extensively used for participating nations’ performance evaluation, while the prior literature mainly addresses the maximum efficiency by ignoring the weights diversity, which might lead to unreasonable and biased results. By considering the fixed-sum medals constraint, this paper proposes an integrated approach of stochastic multicriteria acceptability analysis (SMAA) and DEA for evaluating the participating nations. The proposed approach addresses the weights diversity and multiple equilibrium efficient frontiers by investigating the overall feasible space, and two strategies are considered to guarantee the fairness concern for calculating the efficiencies. Besides, the proposed approach provides both rank acceptability and holistic acceptability index to obtain the complete ranking from the best to the worst and to get the relative ranking relationship in the overall feasible space. The proposed approach can provide more reasonable performance measurements since it explores different rank positions and improves the whole satisfaction of all participating nations. Finally, the proposed approach is applied to empirically analyze the participating nations in the Winter Olympic Games from 2010 to 2022 and some valuable analytical results are provided.Keywords: Data envelopment analysis (DEA)Fixed-sum outputs (FSO)Stochastic multicriteria acceptability analysis (SMAA)Performance evaluationWinter Olympic Games AcknowledgmentsThe authors thank editors and two anonymous reviewers for their kind work and insightful comments.Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThis research was financially supported by the National Natural Science Foundation of China [Nos. 71901178 and 72201123], the Humanities and Social Sciences Foundation of Ministry of Education of China (NO. 23XJC630007), the Fundamental Research Funds for the Central Universities [No. JBK2307014] and Guanghua Talent Project of Southwestern University of Finance and Economics
摘要随着奥运会的普及,对参赛国家的评价和排名成为近年来的热点问题之一。数据包络分析(Data envelopment analysis, DEA)被广泛用于参与国的绩效评估,而以往的文献主要着眼于效率最大化,忽略了权重的多样性,这可能导致结果不合理和偏倚。在奖牌固定额约束下,提出了一种随机多标准可接受性分析(SMAA)与DEA相结合的参赛国评价方法。该方法通过研究整体可行空间来解决权重多样性和多个均衡有效边界问题,并考虑了两种策略来保证效率计算的公平性。该方法同时提供了等级可接受度和整体可接受度指标,以获得从优到劣的完整排序,并得到整体可行空间中的相对排序关系。所提出的方法可以提供更合理的绩效衡量,因为它探索了不同的排名位置,并提高了所有参与国的整体满意度。最后,将本文提出的方法应用于2010 - 2022年冬奥会参赛国的实证分析,得到了一些有价值的分析结果。关键词:数据包络分析(DEA)固定和输出(FSO)随机多标准可接受性分析(SMAA)绩效评估冬奥会致谢作者感谢编辑和两位匿名审稿人的辛勤工作和富有见地的意见。披露声明作者未报告潜在的利益冲突。项目资助:国家自然科学基金项目[NO. 71901178和72201123];教育部人文社会科学基金项目(NO. 71901178和72201123);中央高校基本科研业务费专项基金[No. 23XJC630007];[JBK2307014]和西南财经大学光华人才工程
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