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Advancing Manufacturing with Interpretable Machine Learning: LIME-Driven Insights from the SECOM Dataset 43rd

Advancing Manufacturing with Interpretable Machine Learning:...

引用

43rd ifip WG 5.7 International Conference on advances in Production Management Systems (APMS)

作者： Presciuttini, Anna Cantini, Alessandra Portioli-Staudacher, Alberto Politecn Milan Dept Management Econ & Ind Engn I-20156 Milan Italy

ISBN: (纸本)9783031716317;9783031716294;9783031716287

This study introduces an interpretable machine learning (ML) framework tailored for the semiconductor manufacturing industry, with a strong focus on ensuring model transparency and understandability. In a domain where manufacturing efficiency and product quality are of utmost importance, our research introduces bespoke ML models designed to predict product quality with remarkable accuracy while elucidating the factors driving these predictions. Indeed, the pervasive challenge of model opacity impedes the manufacturing industry to fully leverage ML advancements for operational excellence. To address this critical gap, our study introduces an interpretable ML framework. This framework not only enhances model transparency and understandability but also ensures the precision of product quality predictions. Central to our approach is the application of LIME (Local Interpretable Model-agnostic Explanations), which demystifies the predictive mechanisms of ML models. By elucidating the underlying factors influencing product quality predictions, our methodology empowers operation managers with actionable insights for preemptive quality control and process optimization. Utilizing the UCI SECOM dataset, this paper exemplifies how interpretability in ML transcends conventional analytics, facilitating informed decision-making and fostering a culture of operational excellence.

关键词： Manufacturing Systems Artificial Intelligence Machine Learning Interpretability

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AI-Enhanced QOC-Analysis: A Framework for Transparent and Insightful Decision-Making 25th

AI-Enhanced QOC-Analysis: A Framework for Transparent and In...

引用

25th ifip WG 5.5 Working Conference on Virtual Enterprises (PRO-VE)

作者： Schmidt, Lambert Pehlke, Marcel Jansen, Marc Univ Appl Sci Ruhr West Inst Comp Sci D-46236 Bottrop Germany

ISBN: (纸本)9783031717413;9783031717390;9783031717383

This paper explores the integration of Artificial Intelligence (AI) into the Questions Options Criteria (QOC) process, enhancing decision making through different levels of AI integration. It elaborates on AI's role from providing support with insights and suggestions, acting as an additional participant in decision making, to fully autonomously generating and evaluating decision contexts by a network of AI based agents. By integrating AI across these levels, the framework is expanded and offers a traceable AI-enhanced decision making process. The paper discusses three different approaches to integrating AI into the QOC process, where AI is either a supporting element for the participant, AI is a participant in the decision making process, and a fully automated QOC analysis by AI. This progression in understandable and verifiable AI participation marks an advancement in decision support systems, illustrating the potential for sophisticated AI integration in complex decision making processes.

关键词： Questions Options Criteria Framework AI involvement levels Traceable decision-making process Autonomous decision-making

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The First Chapter of a Regional Deployment of a Continuous Improvement Program in a Medical Device Company 9th

The First Chapter of a Regional Deployment of a Continuous I...

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9th European Lean Educator Conference on Challenging the Future with Lean (ELEC)

作者： Molnar, C. McDermott, Olivia Univ Galway Coll Sci & Engn Galway Ireland

ISBN: (纸本)9783031632679;9783031632655;9783031632648

This study aims to design a model and framework for LSS Deployment in a global multinational Medical Device company commencing with a regional implementation. The DMAIC problem solving training methodology was utilised to design and deploy a model for LSS deployment by designing Continuous Improvement Leadership and Problem solving training. A strategy for LSS deployment was agreed upon and implemented via a pilot. Several projects were completed, and Leadership was involved in training and coaching programs to prepare them for their roles in CI deployment. This study provides a detailed case study of how one organisation deployed and launched the first steps of a continuous improvement program through leadership involvement and training development across all functions of the organisation regionally.

关键词： LSS DMAIC Leadership Strategy Training

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Planning and Optimising Value Chains in Production Networks of MSEs: A Lightweight Planner For Parallel Processes 43rd

Planning and Optimising Value Chains in Production Networks ...

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43rd ifip WG 5.7 International Conference on advances in Production Management Systems (APMS)

作者： Aghajanzadeh, Emad Markert, Julia Christina Kerzel, Matthias von Riegen, Stephanie Krenz, Pascal Hotz, Lothar Wulfsberg, Jens P. Helmut Schmidt Univ D-22043 Hamburg Germany Hamburger Informat Technol Ctr eV D-22527 Hamburg Germany

ISBN: (纸本)9783031716317;9783031716294;9783031716287

With increasingly automated production and global competition, pricing pressure on micro, small and medium-sized enterprises (SME) from the trade sector is increasing. Cooperation with other enterprises could be part of the solution to allow them to continue providing their services in the form of made-to-order, customised products. With new challenges and changing circumstances, applying modern information and communication technology and AI (Artificial Intelligence) to local production in networks could provide valuable opportunities. The construction of value chains is a complex planning problem with partial parallelism, as companies can work independently and in parallel, but are also often dependent on precursors from previous production steps. Utilising this partial parallelism is essential for finding production plans with a short duration. While heuristically guided planners can optimise for such a criterion, selecting a value chain is a multifactorial optimisation problem. Besides total production time, aspects like cost or transport can be significant. Moreover, if this choice is up to customers, they will require a quick, interactive generation of plans according to their preferences. A graph-planning-based approach for interactive multifactorial optimisation is presented. The approach is demonstrated and evaluated on examples from the production domain.

关键词： Local production Production network Value chain planning Graph-based planning Multifactorial optimisation

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Smart Master Production Scheduling by Deep Reinforcement Learning: An Exploratory Analysis 25th

Smart Master Production Scheduling by Deep Reinforcement Lea...

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25th ifip WG 5.5 Working Conference on Virtual Enterprises (PRO-VE)

作者： Serrano-Ruiz, Julio C. Mula, Josefa Poler, Raul Diaz-Madronero, Manuel Univ Politecn Valencia Ctr Invest Gest & Ingn Prod CIGIP Alcoy 03801 Spain

ISBN: (纸本)9783031717451;9783031717437;9783031717420

By providing a consolidated view of demand, production capacity and inventory status, the master production schedule (MPS) enables collaborative networks to be optimised, planned and coordinated, which leads to more robust strategic decision making. In this context, flexibility, agility and automation are key elements to consider, and make machine-learning methods strong candidates for problem modelling. This paper researches some modelling alternatives to address the MPS problem subject to the eventuality of unsatisfied demand due to production capacity and inventory constraints by the deep reinforcement learning (DRL) method. The modelling of observation space, action space and reward function, and the choice of the DRL algorithm, among some of those currently at the forefront of the technique, are analysed and discussed. The sensitivity to the problem dimension, as a function that depends mostly on the number of considered product references, is also approached. As a major contribution, this study constitutes a valuable step prior to final modelling and subsequent validation by clearing the way for a wide range of possible implementations.

关键词： Master production schedule deep reinforcement learning smart production planning

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The Digital Transformation of Microbusinesses in Indonesia: Dichotomous Effects and Consequences 16th

The Digital Transformation of Microbusinesses in Indonesia: ...

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16th ifip International Conference on Human Choice and Computers (HCC)

作者： Mahendrawathi, E. R. Davison, Robert M. Khoir, Safirotu Fauzia, Rahma Inst Teknol Sepuluh Nopember Surabaya Indonesia City Univ Hong Kong Kowloon Hong Kong Peoples R China Univ Gadjah Mada Yogyakarta Indonesia

ISBN: (纸本)9783031675379;9783031675355;9783031675348

Digital transformation is widely lauded as being beneficial for organizations. We undertake a qualitative exploration into how three microbusinesses in Indonesia are affected by Digital Transformation. We focus on the lived experiences of the microbusiness owner-managers. We find that the success of a digital transformation initiative depends on the owner-managers having both a growth and a technology mindset while observing that the availability of support from friends and relatives can be crucial to success.

关键词： Digital Transformation microbusiness warung small retail sociotechnical systems

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Towards a Reappreciation of the Concept of Value in Sustainable and Circular Lean Thinking: A Proposal for an Ethically Based Lean Practice 9th

Towards a Reappreciation of the Concept of Value in Sustaina...

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9th European Lean Educator Conference on Challenging the Future with Lean (ELEC)

作者： de Zwart, Joop van Kollenburg, Ton AVANS Univ Appl Sci Hogesch Laan 1 Breda Netherlands

ISBN: (纸本)9783031632679;9783031632655;9783031632648

Lean thinking has been influenced by developments in the field of sustainability and circularity. This has led to the development of concepts like Leangreen and Circular Lean, and many have proposed alternative lists of wastes, to address the challenges that modern society faces. A concept that received little attention in these developments is the concept of value. In traditional Lean thinking, waste was defined as everything that does not contribute to customer value. It seems, however, that the increasing number of environmental and social wastes at least suggest that there has been a shift in the way value is conceived. This (conceptual) paper a) traces down the value shift underlying the increasing number of wastes and b) proposes a reappreciation of the concept in Lean practices.

关键词： Lean Thinking Ethics Values Sustainability

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Toward the European Union 2030 Strategy for Textiles: A Review 43rd

Toward the European Union 2030 Strategy for Textiles: A Revi...

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43rd ifip WG 5.7 International Conference on advances in Production Management Systems (APMS)

作者： Bussolo, Guilherme Horner Bressanelli, Gianmarco Visintin, Filippo Saccani, Nicola Univ Firenze Florence Italy Univ Brescia Dept Mech & Ind Engn Brescia Italy

ISBN: (纸本)9783031716249;9783031716225;9783031716218

The European Union 2030 Strategy for Textiles is a framework aimed at creating a sustainable and circular textile industry. This strategy includes a vision for 2030 where textile products are long-lived, recyclable, and made of recycled fibers while being free of hazardous substances and compliant with social rights. However, the strategy also presents challenges that require the adoption of comprehensive transformations across supply chains, governments, and societies. This study analyzes the scientific literature on circular and sustainable textile industry initiatives within the European Union's Strategy for Sustainable and Circular Textiles. A systematic literature review has been carried out to combine scientific insights with legislative analysis. Results show that more research is needed to determine the optimal technology for a Digital Product Passport for textiles (Action #1.2);and that issues such as standardizing consumer information and engagement in the circular economy remain unresolved for empowering consumers in the textile green transition (Action #2.1);that the Extended Producer Responsibility for textiles still needs to be examined from various perspectives due to upcoming legislative implementations (Action #3.1);and that understanding how to implement circular business models while maintaining profitability is crucial for textile companies (Action #4.3). Managers and policymakers can use this article to better understand how scientific literature can support the implementation of the European Union's Strategy for Textiles.

关键词： Circular economy Sustainability EU Textile Strategy Textile industry

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Confidential Inference in Decision Trees 31st

Confidential Inference in Decision Trees

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31st International Conference on Very Large Scale Integration

作者： Karn, Rupesh Raj Gebremichael, Mizan Nawaz, Kashif Elfadel, Ibrahim M. Khalifa Univ Ctr Secure Cyber Phys Syst Abu Dhabi U Arab Emirates Technol Innovat Inst Abu Dhabi Cryptog Res Ctr Abu Dhabi U Arab Emirates

ISBN: (纸本)9783031709494;9783031709470;9783031709463

In confidential computing, arithmetic algorithms operate on encrypted inputs to produce encrypted outputs. Specifically, in confidential inference, Alice has the parameters of the machine-learning model but does not want to reveal them to Bob, who has the data. Bob wants to use Alice's model for inference, but does not want to reveal his data. Alice and Bob agree to use confidential computing to run the inference engine without revealing either the model or the data. However, they find that fully homomorphic and order-preserving encryptions are very time-consuming and very challenging to accelerate on hardware. When the machine learning model is a decision tree, these encryptions can be made computationally efficient and can even be readily accelerated on hardware. In this paper, we reveal how Alice and Bob run the inference engine of a decision tree in full confidence and show FPGA implementations of additively homomorphic, order-preserving, and post-quantum order-preserving encryption on constrained hardware platforms. We further evaluate the resources needed to implement the ciphertext decision tree and compare them with those of a plaintext decision tree. Confidential inference tests are run on the encrypted FPGA design using the MNIST data set.

关键词： Order-Preserving Encryption Homomorphic Encryption FPGA Implementation Post-Quantum Cryptosystem Combinational Circuit Sequential Circuit Finite-State Machine

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Semantic Modelling for Representation and Integration of Health Data from Wearable Devices 1

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20th International Conference on Artificial Intelligence Applications and Innovations (AIAI)

作者： Tasia, Theodora Maga-Nteve, Christoniki Tsolakis, Nikos Meditskos, Georgios Mavropoulos, Thanassis Vrochidis, Stefanos Aristotle Univ Thessaloniki Sch Informat Thessaloniki 54124 Greece Ctr Res & Technol Hellas Informat Technol Inst Thessaloniki 57001 Greece

ISBN: (数字)9783031632112

ISBN: (纸本)9783031632136;9783031632112;9783031632105

The efficient sharing and integration of health-related data are critical objectives in the rapidly developing field of healthcare technology. In order to achieve this, a seamless exchange of health information across different frameworks is needed, promoting interoperability among health data formats, a key factor in the progression of digital health solutions. In this paper, we present our work in defining and implementing a mapping between the Fast Healthcare Interoperability Resources (FHIR) standard and the Open mHealth (OMH) schema, two well-known and widely used solutions for health-related data modeling. We elaborate on key mapping choices that have been made to conceptually align the two paradigms, and we present examples that demonstrate the applicability of our approach. The contribution to the research community is marked by advancements in interoperability and the facilitation of seamless integration across diverse health data formats. Also, the potential impact is significant, offering benefits to both healthcare professionals and the patients under their care.

关键词： Open mHealth FHIR RDF Interoperability

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