IFIP Open Access Digital Library
Not a member yet
22614 research outputs found
Sort by
AI-Aided Resource Mining Method for Idealization-Driven Product Innovation
No full textPart 1: AI-Driven TRIZ and InnovationInternational audienceThe availability of resources in design plays a crucial role in innovative design. The importance of available resources increases as the solution to the problem approaches the Ideal Final Result (IFR). This paper introduces a method for mining resources in the product innovation process by integrating the Theory of Inventive Problem Solving (TRIZ) and AI, and demonstrates TRIZ’s application in various fields.Firstly, through AI tools to obtain research hotspots to formulate product design goals, through the training of ChatGPT, with the help of AI tools to achieve the mining of internal resources. Additionally, an AI algorithm is employed to analyze patents and identify external available resources. We evaluate the value of these mined resources using a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) comprehensive evaluation model that combines analytic hierarchy process with entropy weight method to select optimal available resources. Multi-criteria evaluation methods and AI technology are applied to resource mining and selection for product innovation
Neuro-Symbolic AI-Driven Inventive Design of a Benzoic Acid Extraction Installation from Styrax Resin
No full textPart 1: AI-Driven TRIZ and InnovationInternational audienceThe extraction of benzoic acid from natural resins such as Styrax holds considerable industrial significance, given its widespread use in pharmaceuticals, food, and cosmetics. This study introduces an approach to enhance the extraction process by designing a novel installation in this respect. The design roadmap integrates Generative AI with neuro-symbolic AI algorithms. We employ a neuro-symbolic AI framework that merges AI’s generative capabilities for initial design conceptualization with symbolic reasoning, enriched with TRIZ principles and Complex Systems Design Thinking (CSDT) methodologies. This combination aids in navigating complex problem-solving scenarios and promoting an innovative solution. Environmental issues are integrated throughout the design process to ensure that the solution also meets eco-sustainability objectives. Results indicate that the novel design markedly enhances the extraction efficiency of benzoic acid, reduces energy consumption, and lowers waste production. The design’s adaptability for industrial applications has been validated, with future enhancements aimed at incorporating real-time monitoring AI systems for dynamic adjustments based on raw material variability
Ensuring Fruits and Vegetables Freshness in Sustainable Agricultural Supply Chain Networks: A Deep Learning Approach
No full textPart 4: Mechanism Design for Smart and Sustainable Supply ChainsInternational audienceEnsuring fruits and vegetables’ freshness within a sustainable agricultural supply chain network (SASCN) is a critical and multifaceted challenge. This demands comprehensive solutions that integrate new technologies, sustainability philosophy, and effective management practices, to name a few. In this regard, computer vision (CV) and machine learning/deep learning (ML/DL) have increasingly been utilized in various sustainable agricultural areas, demonstrating significant efficacy in image analysis and processing. To this end, this research study proposes a novel approach leveraging advanced Deep learning techniques, including convolutional neural network (CNN) for fruit and vegetable quality detection and assessment throughout a SASCN. Therefore, an approach based on CNN is developed, utilizing a varied dataset that includes several types of fruit like Apples, Oranges, Bananas, and Grapes, alongside a single type of vegetable, namely Bitter-gourd. Notably, the proposed approach takes into consideration criteria, namely sustainability, and quality management thereby facilitating a holistic approach to fruit and vegetable quality control. The significant finding results in this study demonstrate the applicability of the developed approach for SASCN. After conducting thorough experimentation and assessment, the effectiveness of the developed approach attained an accuracy rate of 98.39%, indicating its high performance
Analyzing the Interplay of Agile and Digital Transformation in Modern Management Theory: A Systematic Literature Review
No full textPart 1: Lean Thinking Models for Operational Excellence and Sustainability in the Industry 4.0 EraInternational audienceGiven the complexity inherent in the interweaving of agile and digital transformation, this paper aims to decipher these two similar yet different phenomena by fostering a deeper understanding of their coexistence and the potential benefits they can offer when implemented concurrently. Therefore, we have conducted a comprehensive systematic literature review on agile transformation (AT), digital transformation (DT), and agile digital transformation (ADT) as a synthesis of these concepts, encompassing over thirty papers published in the past eight years that have been deemed relevant to one or more elements of ADT. The key contributions of this paper lie in identifying and explaining the various interplays between agile and digital transformation and in creating a unified perspective on this subject presented through a conceptual ADT model grounded in levels of agility and digitalization. Accordingly, this paper surveys both theoretical and practical implications of agile and digital transformations, thus proposing a strategic approach to transformation and the conceptual model for ADT. Moreover, the proposed ADT model can be used as maturity assessment tool that helps organisations recognize and streamline their transformative initiatives
Planning the Tasks of an Autonomous Mobile Robot Fleet for Internal Logistics of Production Systems
No full textPart 7: IntralogisticsInternational audienceThe problem of planning the activities of a fleet of autonomous mobile robots in the context of performing a production plan is tackled in this paper. Three kinds of tasks are considered: the ones related to supplying workstations with the components or tools that are used in the operations, the ones related to the evacuation of empty containers or garbage collecting, and the latter ones that aim at moving semi-finished production from workstations to others. This paper shows that the planning of these activities can be modeled homogeneously as a particular pickup-and-delivery problem with time windows. To solve the latter problem, we propose a greedy heuristic as well as a mixed-integer linear programming approach. An illustration of the interest in the approach is provided in a production context, demonstrating its validity and high-lighting its advantages and limitations. A benchmark of the literature is also considered to show how our approach performs in the context of a job-shop problem with transportation constraints
Maturity Models for Servitization: A Systematic Literature Review
No full textPart 4: Methods and Tools to Achieve the Digital and Sustainable Servitization of Manufacturing CompaniesInternational audienceServitization is the transition from selling products to selling integrated offerings of products and services. This trend is growing in the manufacturing context, being recognized as an opportunity to increase economic, environmental and social sustainability. To support companies in the transition towards servitization, Maturity Models represent a powerful tool to assess the maturity, strengths, and weaknesses and identify improvement activities. Existing literature proposes multiple maturity models for servitization and product service systems, with different focuses and structures. This paper aims to analyze the status of the existing literature on maturity models for servitization, identifying main characteristics, structures, trends, and gaps. To achieve this objective the paper operated a systematic literature review, including the identification and analysis of 19 contributions and 16 distinct maturity models. Based on the findings of the literature, the paper proposes categories of analysis that should be considered while assessing the maturity of companies involved in the servitization transition. This paper contributes to existing literature on servitization, it proposes an analysis of existing maturity models and rationalizes elements of analysis that should be taken into consideration in future works for the development of new maturity models
Open Manufacturing Capability Network Supported by Formal Ontologies
No full textPart 5: Open Knowledge Networks for Smart ManufacturingInternational audienceAccess to accurate manufacturing capability information is necessary for efficient supplier discovery and agile supply chain formation. However, manufacturing capability data, particularly for small and medium-sized manufacturers, is often unavailable or, if accessible, lacks essential qualities such as correctness, completeness, interoperability, and openness. The objective of the research presented in this paper is to develop an open Manufacturing Capability Network (MCN) that represents various manufacturers’ capabilities as an interconnected and formal knowledge graph. This capability graph is part of a larger graph referred to as the Supply and Demand Open Knowledge Network (SUDOKN). The ontologies that provide the semantics of the knowledge graph comply with the Basic Formal Ontology (BFO). A proof-of-concept knowledge graph, based on 1700 manufacturers, is presented in this work. The graph’s validity was assessed by submitting queries related to supplier discovery use cases. SUDOKN, once fully deployed, serves as a shared, canonical, and consensus-driven knowledge backbone, that supports supply chain analytics solutions with AI-ready data
Navigating the Shift: From Traditional Sales to Product-as-a-Service (PaaS)
No full textPart 4: Methods and Tools to Achieve the Digital and Sustainable Servitization of Manufacturing CompaniesInternational audienceThis paper considers alternative revenue models for companies traditionally reliant on transactional sales models. The research question explores viable revenue strategies for a firm with a traditional transnational revenue model and wants to transition to a product-as-a-service-based revenue model. To understand the transition, the study employs a multi-stage methodology that includes assessing the product-service system and analytical tools for contextual understanding. Insights into different approaches and their practical applications were gained, with detailed analyses based on avatar mapping, lifecycle examination, and a total cost of ownership analysis that must be adapted for data scarcity. Where data is unavailable, the paper provides an approach to support collecting the necessary lifecycle costs to allow PaaS models to be developed based on the average spend profile
Conceptualization of an Operational Capability Development Framework to Facilitate the Integration of Additive Manufacturing Based on a Use Case Perspective
No full textPart 5: Additive ManufacturingInternational audienceThis paper proposes an operational capability development framework to facilitate additive manufacturing (AM) integration from an AM use case perspective. We conducted a single case study in collaboration with master students and AM actors. Data was collected through interviews with respondents from five AM actors and additional data collection methods. Data was analyzed thematically. The conceptualization of the proposed framework was performed iteratively by revisiting the literature and empirical data. The proposed framework provides insights on targeted operational performance and operational capabilities, including its constituents and development mechanisms, based on AM use cases which are evaluated regarding AM’s potential and fit to fulfill a company’s needs. We evaluated the framework based on selected AM use cases and additional insights from industry professionals and academics. This paper introduces a novel framework for operational capability developed to facilitate AM integration. Thereby, yielding another way of working with AM integration based on an AM use case perspective for engineers, managers, and other decision-makers. Therefore, we recommend that future research should extend the framework to include, evaluation using additional AM use cases, the development of dynamic capabilities, and evaluate other industrial contexts
The Impact of Blockchain Implementations on Supply Chain Collaboration
No full textPart 6: Advances in Production Management SystemsInternational audienceBlockchain technology is increasingly gaining attention from practitioners and academics in supply chain management due to its potential to enhance transparency, efficiency, and trust among trading partners. This study explores the impact of blockchain deployment on supply chain collaboration (SCC), with a focus on information sharing, trust, and commitment. Through a multiple case study of six companies, we found that while blockchain enhances information sharing by facilitating digital transformation in the supply chain, concerns about data privacy pose significant challenges. Moreover, blockchain technology can foster trust through immutable record keeping and automated smart contracts, alleviating concerns related to data tampering and enhancing the reliability of transactions. Commitment within SCC is also influenced by blockchain, as it requires joint investment in specific assets, thereby strengthening partnerships. However, asymmetric willingness to adopt blockchain, especially among smaller supply chain participants, may undermine these benefits. Our findings provide valuable insights into the strategic implementation of blockchain in supply chains and highlight the crucial balance needed between technology adoption and stakeholder engagement