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A data mining framework for maintenance prediction of faulty products under warranty 保修期故障产品维修预测的数据挖掘框架
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2023-05-05 DOI: 10.1142/s0219686724500021
A. Al-Refaie, Banan Abu Hamdieh
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引用次数: 0
Study on Ontological Knowledge Integration of Micromachining for Collaborative Process 协同加工微机械本体论知识集成研究
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2023-05-05 DOI: 10.1142/s0219686724500033
Jeremy S Liang
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引用次数: 0
The digital Jidoka twin optimizes the Working Parameters by hybridizing the WSPA and HS methods to keep products within standard specifications 数字Jidoka双胞胎通过混合WSPA和HS方法来优化工作参数,以保持产品在标准规格内
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2023-05-05 DOI: 10.1142/s021968672450001x
A. M. Abed, Ali Al Arjani, L. F. Seddek
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引用次数: 1
Supply Chain Optimization under Risk and Uncertainty using Nondominated Sorting Genetic Algorithm II for Automobile Industry 基于非支配排序遗传算法II的汽车行业风险和不确定性下的供应链优化
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2023-04-03 DOI: 10.1142/s0219686723500324
Arman Bahari, Sattar Nouri, Behnoosh Moody
In recent decades, the use of supply chain management is essential for developing new technologies and setting the ground in expanding major global markets to integrate suppliers, manufacturers, warehouses, and stores effectively. In addition, the growing competition in the modern business environment has created an increasing trend of new products and improved product quality for attracting more consumers. However, an increase in the related costs and uncertainty in these innovations requires the development of algorithms to solve optimization problems. Therefore, this study is aimed to implement a multi-product supply chain including raw material suppliers, factories, distributors, and customers to maximize the quality and minimize costs. To this aim, supplier quality, distribution centers, and manufacturing products were considered for the quality model, while warehousing costs, product production, transportation, defective raw materials, and the like were regarded for the cost model. Then, the NSGAII algorithm was used for solving the created optimization problem, and accordingly, the optimal Pareto points were calculated. Based on the results, the proposed model can give the manufacturer the ability to decide on a multi-product and multi-time supply chain by involving cost and quality variables. Thus, the owner can manage the supply chain of the factory effectively.
近几十年来,供应链管理的使用对于开发新技术和为扩大全球主要市场奠定基础至关重要,以有效整合供应商、制造商、仓库和商店。此外,现代商业环境中日益激烈的竞争创造了新产品不断增加的趋势,并提高了产品质量,以吸引更多的消费者。然而,这些创新中相关成本和不确定性的增加需要开发算法来解决优化问题。因此,本研究旨在实现包括原材料供应商、工厂、经销商和客户在内的多产品供应链,以实现质量最大化和成本最小化。为此,质量模型考虑了供应商质量、配送中心和制造产品,而成本模型考虑了仓储成本、产品生产、运输、有缺陷的原材料等。然后,使用NSGAII算法来解决创建的优化问题,并相应地计算最优Pareto点。基于结果,所提出的模型可以让制造商通过涉及成本和质量变量来决定多产品、多时间的供应链。因此,业主可以有效地管理工厂的供应链。
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引用次数: 0
Impact of dielectric conductivityand other process parameters on machining characteristics in WEDM of al 6065 alloy 介电常数等工艺参数对铝6065合金电火花线切割加工特性的影响
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2023-03-31 DOI: 10.1142/s0219686723500415
K. Mandal, M. Sekh, D. Bose, S. Mitra, S. Sarkar
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引用次数: 0
A Comprehensive Review and Open Issues on Supply Chain Management Models 供应链管理模型综述及有待解决的问题
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2023-03-31 DOI: 10.1142/s0219686723500427
D. Kalyani
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引用次数: 0
New ant colony algorithm for solving partial job shop scheduling problem 求解局部作业车间调度问题的蚁群算法
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2023-03-31 DOI: 10.1142/s0219686723500300
Samar Kashef, Raafat Elshaer
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引用次数: 0
Evaluation of Investment Strategies for Automated Material Handling Systems in Semiconductor/Display Fabrication 半导体/显示器制造中自动化材料处理系统的投资策略评估
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2023-03-31 DOI: 10.1142/s0219686723500439
Seolhui Son, J. Chung
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引用次数: 0
Analyzing the Financial Risk Factors Impacting the Economic Benefits of the Consumer Electronic Goods Manufacturing Industry in India 影响印度消费电子产品制造业经济效益的金融风险因素分析
IF 1.4 Q4 ENGINEERING, MANUFACTURING Pub Date : 2023-03-17 DOI: 10.1142/s0219686723500385
Suhasini Tatiparti, Kirti Mahajan, Sowmya Kethi Reddi, H. Mickle Aancy, B. Kumar
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引用次数: 0
Research on Pricing and Coordination of Dual-Channel Green Supply Chain 双通道绿色供应链的定价与协调研究
Q4 ENGINEERING, MANUFACTURING Pub Date : 2023-03-01 DOI: 10.1142/s0219686723500063
Yongfei Li, Jin Zhang, Guiying He, Songbo Wei, Yu Zhang, Abdul Rehman
In recent years, environmental pollution and resource waste have become the focus of heated discussion around the world. In order to realize green and sustainable development, the development of green supply chain (GSC) has attracted the attention of many scholars. The research object of this paper is the dual-channel green supply chain (DGSC) composed of online channels and offline channels. The supplier is the leader of the entire DGSC, and it needs to optimize the wholesale price of the product and the level of green investment to maximize its own benefit. In addition, the supplier also needs to establish contracts with network sales platform (NSP) and store sales platform (SSP) to increase the benefit of NSP and SSP, and ultimately increase the benefit level of the entire DGSC. Among them, we constructed a centralized decision (CD) model and a decentralized decision (DD) model, and obtained the optimal pricing, optimal greenness and optimal benefit of the supplier, NSP and SSP under the two models. We found that the benefits of SC members under the DD model are generally lower than those of the CC model. Therefore, we built contracts between the supplier, NSP and SSP to coordinate. Finally, we substituted specific parameters to verify the model. The following conclusions are drawn: (i) When consumers prefer online sales channels, it will positively affect the online sales price, online sales volume and greenness level of DGSC. At the same time, it negatively affects offline sales price and sales volume. (ii) The benefit of DGSC and the benefit of NSP, SSP, and the supplier show a phenomenon of decline first and then increase with respect to consumers’ preference for online sales channels. (iii) Under the coordination contract, the subsidy factor positively affects the benefits of the supplier and online and offline wholesale prices, and negatively affects the benefits of online platforms and physical stores.
近年来,环境污染和资源浪费已成为世界各国热议的焦点。为了实现绿色可持续发展,绿色供应链的发展引起了众多学者的关注。本文的研究对象是由线上渠道和线下渠道组成的双通道绿色供应链。供应商是整个DGSC的领导者,需要优化产品的批发价格和绿色投资水平,使自身利益最大化。此外,供应商还需要与网络销售平台(NSP)和商店销售平台(SSP)建立合同,以提高NSP和SSP的效益,最终提高整个DGSC的效益水平。其中,构建了集中式决策(CD)模型和分散式决策(DD)模型,得到了两种模型下供应商、NSP和SSP的最优定价、最优绿色度和最优效益。我们发现,在DD模型下,SC成员的收益普遍低于CC模型。因此,我们在供应商、NSP和SSP之间建立了合同来进行协调。最后,代入具体参数对模型进行验证。得出以下结论:(1)消费者对网络销售渠道的偏好会对DGSC的网络销售价格、网络销售量和绿色度水平产生正向影响。同时对线下销售价格和销量产生负面影响。(ii)消费者对网络销售渠道的偏好,DGSC、NSP、SSP和供应商的收益呈现先下降后上升的现象。(3)在协调合同下,补贴因素对供应商利益和线上线下批发价格产生正向影响,对线上平台和实体店利益产生负向影响。
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引用次数: 0
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Journal of Advanced Manufacturing Systems
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