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Production and Manufacturing Research: An Open Access Journal
Scopus
ISSN 2169-3277 · Taylor & Francis Group · 330 artikel di indeks
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Artikel Jurnal
AI-powered adaptive workplaces in industry 5.0: integrating assistive technologies and global standards for inclusive manufacturing
The shift from Industry 4.0 to Industry 5.0 introduces challenges in integrating assistive technologies into manufacturing. Existing international regulations and normatives, lack AI-driven task allocation and fatigue management strategies. This study addressed these gaps by implementing AI-based…
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The impact of predictive and prescriptive big data analytics on sustainable product development through technological innovation in manufacturing SMEs
This research investigates the influence of prescriptive (PRBDA) and predictive big data analytics (PBDA) on sustainable product development performance (SPDP) among manufacturing SMEs, with technological innovation (TI) serving as a mediator. Grounded in Information Technology (IT) and Dynamic…
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Understanding the everything-as-a-service model in manufacturing: a hierarchical framework
Recent studies indicate that manufacturers are keen on adopting the Everything-as-a-service (XaaS) model to achieve competitive advantage and generate recurrent revenues. Although the growing interest, the existing literature on this topic seems fragmented and lacks a clear identification of the…
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Industry perception of machine learning-enhanced statistical process control: a comprehensive study on the acceptance of evaluation criteria
Machine learning models for Statistical Process Control must deliver not only high performance but also reliability, transparency, and workflow fit to earn trust in industrial use. Based on responses from industry professionals, this study identifies evaluation criteria shaping perceptions of ML…
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Foundation language models through the lens of manufacturing
Although recent studies have focused on foundation language models’ architectures, scaling properties, and applications in fields such as healthcare and business, no detailed investigation has addressed their role in manufacturing. This paper fills this gap by examining foundation language models…
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The key to improving the trade-off between service and inventory levels in make-to-stock production: sequencing and capacity control
Safety stocks play an important role in make-to-stock production, since they ensure supply to customers despite uncertainties in production and demand. A large literature exists on safety stock calculations, but it typically assumes exogenous stationary replenishment times. In most real-world…
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Enhanced supplier clustering using an improved arithmetic optimiser algorithm
Finding the appropriate supplier is becoming increasingly difficult because of the complexity in evaluation criteria. Clustering algorithms and metaheuristic algorithms continue to face challenges while dealing with large data because of their inconsistent convergence, inconsistent balance between…
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An analysis of indicators for assessing manufacturing resilience at the factory level
Resilience in manufacturing has been extensively studied from the perspective of supply-chain resilience, whereas resilience indicators for individual manufacturing facilities and factories remain less understood. This review focuses on facility-level resilience indicators compiling a comprehensive…
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Digital infrastructure for the inclusion of Small and Medium Enterprises (SMEs) in design for distributed manufacturing and assembly construction ecosystems
The construction sector faces growing pressure to meet net-zero targets while addressing skills shortages, fragmented supply chains, and the limited participation of Small and Medium-Sized Enterprises (SMEs), despite SMEs delivering most UK construction output. Existing centralised models of Modern…
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Artificial neural network architecture optimization: comparing various training algorithms, transfer functions, and number of neurons using metal forming data
Cold rolling enhances metal properties through strain hardening; however, predicting the hardness of rolled samples remains challenging due to process complexity. Artificial neural networks (ANNs) can uncover hidden patterns among parameters to predict mechanical properties. However, determining an…
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A survey on the electric vehicle routing problem and its extensions: variants and algorithms
The Electric Vehicle Routing Problem (EVRP) is a growing research area in sustainable transportation, addressing greenhouse gas emissions and supply chain challenges. This paper presents a systematic review of EVRP literature, categorizing studies by objective functions, constraints, and model…
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A hybrid multi-criteria decision-making and cost-constrained optimisation framework for circular economy-oriented zero-defect intelligent manufacturing
Manufacturers pursuing smart digital transformations face the challenge of eliminating production defects while adhering to Circular Economy mandates under strict budget and labor boundaries. To bridge the gap between high-level sustainability preferences and discrete technology selection, this…
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Lifecycle of individualised 3D printed orthopaedic and prosthetic devices
This study proposes a holistic lifecycle for anatomically customised, 3D-printed orthopaedic and prosthetic devices based on the development of the AutoMedPrint system to Technology Readiness Level 9. The lifecycle was developed by comparative analysis of the engineering product LC according to…
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Sales and waste avoidance efficiency evaluation of regional business units of a dairy production company: a window analysis data envelopment analysis approach
Efficient operational management is crucial for businesses, particularly in industries with perishable goods such as dairy production. In the competitive market environment of dairy foods, optimizing both sales efficiency and waste avoidance is essential for sustaining profitability and…
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Servitization capabilities and network-level performance in manufacturing: evidence from the plant engineering industry
In volatile manufacturing environments, particularly in project-based plant engineering, servitization is regarded as a strategic approach to enhance competitiveness and resilience. However, empirical evidence on the relationship between servitization capabilities and firm- and/or network-level…
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Industrial digitalization, human capital, and supply chain resilience in advanced manufacturing: evidence-based PLS-SEM study of Vietnamese firms
Supply chain resilience is critical for manufacturers exposed to recurrent disruptions, yet limited evidence explains how digital technologies and human capital shape resilience in emerging economies. Grounded in the dynamic resource-based view, this study investigates their direct and indirect…
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Digital Twin-enabled adaptive robotics: multi-agent reasoning over language, vision, and structured database
The growing demand for customized products challenges traditional automation systems that rely on repetitive and predefined operations. This paper presents an adaptive robotic framework combining multi-agent reasoning, camera vision, and natural language interaction for flexible automation in…
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Advancing product surface defect detection and quality inspection with Gaussian Splatting: insights and preliminary experimental evidence
Scheduled inspection is a key element of industrial maintenance, enabling wear and deterioration to be detected before leading to severe failures in machinery or manufactured products. However, inspection records are typically constrained to viewpoints captured during acquisition, limiting the…
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Industrial MLOps: a systematic review of architectures and implementation challenges
The rise of advanced digitalization in Industry 4.0 has enabled manufacturers to leverage data through AI and ML solutions for various manufacturing challenges. However, integrating these models into factory settings remains challenging, as models that perform well on static datasets struggle with…
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Worker attributes and training needs for maintenance technicians: insights from lithium-ion battery production
This study examines maintenance technicians in Sweden's emerging lithium-ion battery industry, focusing on desired worker attributes and training needs. Using a single case study at a gigafactory, we collected qualitative data from 21 interviews and two site visits and interpreted them using…