International Journal of Production Economics最新文献_第9页

Meta-inventory management decisions: A theoretical model 元库存管理决策：一个理论模型

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-07-14 DOI: 10.1016/j.ijpe.2024.109339

{"title":"Meta-inventory management decisions: A theoretical model","authors":"","doi":"10.1016/j.ijpe.2024.109339","DOIUrl":"10.1016/j.ijpe.2024.109339","url":null,"abstract":"<div><p>The manufacturing industry leverages the traceability and visibility of Industrial 4.0 to integrate digital and physical twins for solving the intricacy of a production system. Physical entities can be converted into digital twins with smart IoT (Internet of Things) devices and computational techniques. Research efforts have generally focused on the development of digital twin models for basic practical applications. Advanced applications of digital twins have not been widely reported. An innovative use of digital twins for inventory management has only been analysed theoretically and reported as meta-inventory management for the first time by Wang and Huang (2023). This paper extends the novel concept of meta-inventory by using a theoretical Newsvendor model for original equipment manufacturing (OEM) and own brand manufacturing (OBM) factories. The impacts of meta-inventory on both supply chain members, including the factory and its downstream retailer, are investigated through two kinds of response models (e.g., hybrid and separate response models). Analytical and numerical results show that a factory achieves better performance by using a separate model since it clarifies the responsibility of digital twins. The hybrid response model holds a higher proportion of digital inventory, but its final profits are less than that in the separate model due to fewer orders and higher prices and costs of uncertainty. OBM can better leverage the advantage of digital twins than OEM. Also, both supply chain members benefit from the implementation of meta-inventory out of profit increase, price reduction, and risk hedging. This research provides guidance for manufacturing sites to implement digital twins and reduce their concerns on investing in meta-inventory.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141694509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Competition and cooperation in a platform-based business ecosystem within complementary partners 互补合作伙伴在平台型商业生态系统中的竞争与合作

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-07-14 DOI: 10.1016/j.ijpe.2024.109337

{"title":"Competition and cooperation in a platform-based business ecosystem within complementary partners","authors":"","doi":"10.1016/j.ijpe.2024.109337","DOIUrl":"10.1016/j.ijpe.2024.109337","url":null,"abstract":"<div><p>In today’s competitive business landscape, adopting business ecosystems has emerged as a pivotal strategy to enhance supply chain efficiency. This study employs a game-theoretic framework to investigate the dynamics of a manufacturer establishing a business ecosystem by collaborating with a partner on a supply chain platform. The partner, in turn, offers complementary products to consumers, thereby fostering a symbiotic relationship within the ecosystem. Motivated by the need to understand the implications of such business ecosystems, this study explores their effects on firms operating in the competitive market. Additionally, we examine the impacts of two distinct advertising strategies: product-focused and platform-oriented advertising strategies. Our analytical results reveal several interesting findings. First, forming a business ecosystem based on a supply chain platform increases profits for both the manufacturer and the partner. Furthermore, our findings demonstrate that the manufacturer should selectively adopt a platform-oriented advertising strategy based on the magnitude of the platform advertising effect. Moreover, we uncover that the partner’s product-focused advertising strategy fosters a win-win outcome for all firms in the market, ensuring economic sustainability, particularly in the face of intermediate-level market competition. This research provides insightful recommendations for understanding the dynamics of the supply chain, shedding light on the strategic decisions and advertising strategies that drive efficiency within such ecosystems.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141702371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrated model to optimize supplier selection and investments for cyber resilience in digital supply chains 优化供应商选择和投资以提高数字供应链网络复原力的综合模型

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-07-14 DOI: 10.1016/j.ijpe.2024.109338

{"title":"Integrated model to optimize supplier selection and investments for cyber resilience in digital supply chains","authors":"","doi":"10.1016/j.ijpe.2024.109338","DOIUrl":"10.1016/j.ijpe.2024.109338","url":null,"abstract":"<div><p>Digitalization has revolutionized the supply chain networks but also introduces vulnerabilities to the cyber threats. Notably, in past two years, the cyber-attacks on different organizations worldwide have increased at an alarming rate resulting in significant financial loss to supply chains, intellectual property breaches and supply disruptions. As a result, companies are making significant investments in their cybersecurity. However, many incidents were reported where threat actors attacked a company using the shared digital systems with its suppliers. Therefore, it is important that suppliers are selected based on their cyber resilience. This paper identifies the cyber resilience criteria and proposed a multi criteria decision making based framework to evaluate the cyber resilience of a supply chain partner. It has been also realized that investment in organizational cybersecurity alone is not sufficient to protect supply chains. Companies are now investing in increasing their supply chain cyber capabilities. In this direction, paper also proposes a mixed integer linear program (MILP) to jointly optimize supplier selection and cyber investment decisions in a supply chain based on the supplier's current cyber resilience and potential return on the cyber investments made in selected suppliers. Computational experiments are conducted to study the tradeoffs and impact of sourcing strategy, supplier capacity, cyber security investment decisions on supply chain cyber resilience. The findings underscore that an integrated decision making of supplier selection and cyber investments maximizes the supply chain cyber resilience.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141637421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Logistics 4.0 – digital transformation with smart connected tracking and tracing devices 物流 4.0 - 利用智能联网跟踪和追踪设备实现数字化转型

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-07-06 DOI: 10.1016/j.ijpe.2024.109336

Petri Helo , Vinh V. Thai

{"title":"Logistics 4.0 – digital transformation with smart connected tracking and tracing devices","authors":"Petri Helo , Vinh V. Thai","doi":"10.1016/j.ijpe.2024.109336","DOIUrl":"https://doi.org/10.1016/j.ijpe.2024.109336","url":null,"abstract":"<div><p>Tracking and tracing devices can provide real-time information from the supply chain and enable digital transformation in the logistics and supply chain industry. In this connection, Logistics 4.0 refers to the potential for information technology and smart connected assets to be used in logistics in the same way as the Industry 4.0 concept which has been applied in operations and manufacturing. This paper analyses current tracking and tracing-focused applications that can provide value for logistics operations through a case study approach.</p><p>This study employs an exploratory multiple-case study approach, which is based on interviews with development project stakeholders. The paper analyses three industrial case studies and how tracking/tracing applications are connected to value processes.</p><p>The findings of this study show that the value of Logistics 4.0, through the deployment of tracking/tracing applications, is delivered in terms of operational efficiency, visibility, transparency, and safety/security. The payback depends on the volume of transactions, the possibility of reusing the tracking tags, the duration of trips, and the supply chain structure. The paper provides insight into how Logistics 4.0 technology can enhance logistics performance value. Based on the analysis, the study proposes the following potential application domains: (1) intermodal tracking of the shipments for operations control, (2) asset management of containers, and (3) certification of the process steps and authenticity.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0925527324001932/pdfft?md5=647122756a2c49f6c38b76709192fa43&pid=1-s2.0-S0925527324001932-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141593812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A location-production-routing problem for distributed manufacturing platforms: A neural genetic algorithm solution methodology 分布式制造平台的位置-生产-路径问题：神经遗传算法求解方法

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-07-03 DOI: 10.1016/j.ijpe.2024.109325

Behrang Bootaki, Guoqing Zhang

{"title":"A location-production-routing problem for distributed manufacturing platforms: A neural genetic algorithm solution methodology","authors":"Behrang Bootaki, Guoqing Zhang","doi":"10.1016/j.ijpe.2024.109325","DOIUrl":"https://doi.org/10.1016/j.ijpe.2024.109325","url":null,"abstract":"<div><p>Additive Manufacturing (AM) enhances the flexibility of manufacturing networks. In this paper, we present a Location-Production-Routing (LPR) problem designed for a distributed manufacturing platform, where the manufacturing facilities are distributed in different locations with the support of AM technologies. The proposed LPR problem encompasses three different types of decisions: location-allocation, production planning, and product delivery routing decisions. This is one of the first studies that analyzes integrated logistics and manufacturing optimization under distributed and resilient manufacturing platforms. To efficiently solve the complex problem, we design a novel solution method called the Neural Genetic Algorithm (NGA). The numerical experiments show that the proposed method can attain near-optimal solutions, achieving an average gap of 3% with a standard deviation of 1.4% and a 99% improvement in computational time compared to the CPLEX solver. The sensitivity analysis illustrates the high impact of the unit shortage cost on the customer service level and on the distribution of the AM facilities. Moreover, our results for a given instance show that through the periodic reconfiguration of AM supply chains using the proposed LPR model, we can achieve an average cost reduction of up to 25% in the supply network.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141596815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Process choice under asymmetric competition with exogenous and endogenous product success probabilities 在具有外生和内生产品成功概率的非对称竞争条件下的工艺选择

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-07-02 DOI: 10.1016/j.ijpe.2024.109315

Yasemin Limon , Christopher S. Tang , Fehmi Tanrısever

{"title":"Process choice under asymmetric competition with exogenous and endogenous product success probabilities","authors":"Yasemin Limon , Christopher S. Tang , Fehmi Tanrısever","doi":"10.1016/j.ijpe.2024.109315","DOIUrl":"10.1016/j.ijpe.2024.109315","url":null,"abstract":"<div><p>To develop novel products in a competitive market, firms are under pressure to reduce their time-to-market by adopting a “concurrent process” that involves an upfront investment to speed up the process by conducting the final stage of development and production <em>simultaneously</em>. While the concurrent approach provides a time advantage, it involves a financial risk because, unlike the “sequential process” under which the production process will begin <em>only after</em> the new product passes the requisite tests, the firm cannot recoup the upfront production-related investment should the product fail the qualification or market test. Given this trade-off and the uncertain success of the product, should a firm adopt the concurrent process in a competitive market with asymmetric market shares and impatient consumers? Also, how would a firm’s development strategy change if the probability of product success can be controlled through research investments?</p><p>We provide a 2-stage (or 3-stage) duopoly game for the case when the product success probabilities are <em>exogenously given</em> (or <em>endogenously determined</em>). For both settings, in equilibrium, the concurrent process may be adopted by either one, both, or neither of the firms. Also, even when firms are symmetric, asymmetrical equilibria can emerge that have exactly one firm adopting the concurrent process. When the market-laggard firm has a higher exogenous success probability, a “catch-up” strategy can emerge that has the laggard firm adopt the concurrent process and the market-leading firm adopt the sequential process. This catch-up strategy cannot be sustained as a unique equilibrium when the success probabilities are endogenously determined.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141550644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Managing risk concerns with ordered backlogs in the semiconductor industry: An empirical study 管理半导体行业订单积压的风险问题：实证研究

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-07-02 DOI: 10.1016/j.ijpe.2024.109326

Ashutosh Singh , Surajit Bag , Tsan-Ming Choi , Surender Munjal

{"title":"Managing risk concerns with ordered backlogs in the semiconductor industry: An empirical study","authors":"Ashutosh Singh , Surajit Bag , Tsan-Ming Choi , Surender Munjal","doi":"10.1016/j.ijpe.2024.109326","DOIUrl":"https://doi.org/10.1016/j.ijpe.2024.109326","url":null,"abstract":"<div><p>Today, the semiconductor industry is integral to the functionality of many critical goods and processes that are highly valued. The increasing demand across various semiconductor-related industries has correspondingly amplified the risks faced by firms within this sector. In this study, we empirically explore the potential of ordered backlogs as a means to mitigate the risks confronting semiconductor firms. Utilizing a dataset comprising publicly traded semiconductor firms in the USA, over a duration from 1998 to 2021, we quantitatively validate our hypotheses. Our findings reveal that a substantial volume of ordered backlogs is indeed correlated to a diminished level of firm risk. However, it is important to note that this risk-mitigating effect is lessened as the marketing and research intensities of these firms escalate. Moreover, we observe that the advantageous impact of ordered backlogs in risk reduction is more subdued in large workforce firms, whereas the presence of a sizable top management team aids in lessening the impact of ordered backlogs on risk. These managerial insights are invaluable in advancing both theoretical understanding and managerial practices within the realm of the semiconductor industry.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141607472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A TOE-DCV approach to green supply chain adoption for sustainable operations in the semiconductor industry 采用 TOE-DCV 方法打造绿色供应链，促进半导体行业的可持续运营

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-07-02 DOI: 10.1016/j.ijpe.2024.109327

Ranjan Chaudhuri , Bindu Singh , Amit Kumar Agrawal , Sheshadri Chatterjee , Shivam Gupta , Sachin Kumar Mangla

{"title":"A TOE-DCV approach to green supply chain adoption for sustainable operations in the semiconductor industry","authors":"Ranjan Chaudhuri , Bindu Singh , Amit Kumar Agrawal , Sheshadri Chatterjee , Shivam Gupta , Sachin Kumar Mangla","doi":"10.1016/j.ijpe.2024.109327","DOIUrl":"https://doi.org/10.1016/j.ijpe.2024.109327","url":null,"abstract":"<div><p>Semiconductor industry plays a critical role for the global economy. Semiconductor industry provides various necessary technologies such as IoT, AI, modern fabrication technologies and so on to various industries including automotive industry, electronic and communication industry, healthcare industry, construction and building industry, space industry, and so on. However, semiconductor supply chain experiences various supply chain related risks and challenges because of its procedural complexities, global supply chain integrations, government policy and regulations, competitiveness, technological complexities, and so on. Not many studies available which investigated the risk, resilience, and complexities regarding green supply chain adoption by semiconductor industry. In this context, the objective of this study is to examine the risks, resilience, and complexities for managing the green supply chain adoption for higher sustainability in the semiconductor industry. Utilizing the TOE framework (Technology-Organization-Environment) and DCV (Dynamic Capability View), we developed a research model to achieve this purpose. Subsequently, this model was validated through structural equation modelling, involving 356 respondents affiliated with the semiconductor industry. This study highlights that technological risk aspects comprising of technological turbulence and risk, compatibility and complexity, organizational dynamic capabilities, and resilience along with appropriate policy and regulations could help successful adoption of green supply chain management in the semiconductor industry.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0925527324001841/pdfft?md5=372f0ed6aee465c80396e979e107b8d4&pid=1-s2.0-S0925527324001841-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141596816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The impact of platform audits on the manipulation of online reviews 平台审核对操纵在线评论的影响

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-07-01 DOI: 10.1016/j.ijpe.2024.109323

Chun-Yi Liu , Fernando S. Oliveira , Tian-Hui You

{"title":"The impact of platform audits on the manipulation of online reviews","authors":"Chun-Yi Liu , Fernando S. Oliveira , Tian-Hui You","doi":"10.1016/j.ijpe.2024.109323","DOIUrl":"https://doi.org/10.1016/j.ijpe.2024.109323","url":null,"abstract":"<div><p>To reduce sellers’ manipulation of online reviews, platforms conduct audits and impose penalties on abusive practices. In this article, we study the effectiveness of self-regulation in preventing fake reviews and increasing consumer and social welfare. To this purpose, we use a Stackelberg model with the platform as the leader. Our major contribution is to explain the auditing game between the platform and the seller. These are our major findings. First, we found a <em>self-regulation’s Achilles’ heel</em>. Despite its noble intent, the self-regulation system often falters. Why? The platform faces a powerful incentive to accommodate fake reviews, especially when consumers heavily rely on the seller’s information and regulatory repercussions remain mild. For this reason, consumer activism and external supervision are the key factors leading the platform to audit the seller. Second, we discovered the <em>paradox of fake reviews</em>, establishing the conditions under which, counter-intuitively, fake reviews create social value. Finally, by considering an endogenous retail price, we found evidence of a complex relationship between pricing, auditing, and review manipulation policies, all dependent on consumer sophistication and product quality, which can only be analyzed numerically, as there is no closed-form solution.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141596817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

BearingFM: Towards a foundation model for bearing fault diagnosis by domain knowledge and contrastive learning BearingFM：利用领域知识和对比学习建立轴承故障诊断基础模型

IF 9.8 1区工程技术

International Journal of Production Economics Pub Date : 2024-06-28 DOI: 10.1016/j.ijpe.2024.109319

Zou Lai , Chen Yang , Shulin Lan , Lihui Wang , Weiming Shen , Liehuang Zhu

{"title":"BearingFM: Towards a foundation model for bearing fault diagnosis by domain knowledge and contrastive learning","authors":"Zou Lai , Chen Yang , Shulin Lan , Lihui Wang , Weiming Shen , Liehuang Zhu","doi":"10.1016/j.ijpe.2024.109319","DOIUrl":"https://doi.org/10.1016/j.ijpe.2024.109319","url":null,"abstract":"<div><p>Monitoring bearing failures in production equipment can effectively prevent finished product quality issues and unplanned factory downtime, thereby reducing supply chain uncertainties and risk. Therefore, monitoring bearing failures in production equipment is important for improving supply chain sustainability. Due to the generalization limitations of neural network models, specific models must be trained for specific tasks. However, in real industrial scenarios, there is a severe lack of labeled samples, making it difficult to deploy fault diagnosis models across massive amounts of equipment in workshops. In order to solve the above issue, this paper proposes a cloud-edge-end collaborative semi-supervised learning framework, which provides multi-level computing power and data support for building a foundation model. A data augmentation method based on the bearing fault mechanism is proposed, which effectively preserves the inherent essential characteristics in vibration signals by normalizing frequency and adding noise in specific frequency bands. A novel contrastive learning model is designed, which narrows the distances between positive samples and widens the distances between negative samples in the high-dimensional space through cross comparisons in the time dimension and knowledge dimension, thereby extracting the most essential characteristics from the unlabeled signals. Multiple sets of experiments conducted on four datasets demonstrate that the proposed approach achieves an approximately 98% fault classification accuracy with only 1.2% labeled samples.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141596818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0