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Building Digital Capabilities in Manufacturing SMEs 43rd

Building Digital Capabilities in Manufacturing SMEs

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

作者： Inan, Guven Gurkan Heriot Watt Univ Edinburgh EH14 4AS Midlothian Scotland

ISBN: (纸本)9783031716355;9783031716331;9783031716324

The Resource-Based View (RBV) posits that firms controlling and managing identical resources may exhibit divergent performance due to the development of distinct capabilities. These organisational capabilities, defined as an organisation's ability to utilise its tangible or intangible assets to perform tasks or activities that enhance performance, are pivotal in securing competitive advantages. Capabilities are bifurcated into two dimensions: capacity and maturity. Capacity pertains to the resources that an organisation manages and controls, while maturity denotes proficiency in utilising the capacity for value creation that aligns with strategic objectives. In the contemporary business landscape, digitalisation has emerged as a significant avenue for Small and Medium Enterprises (SMEs) to carve out competitive advantages. However, it is noteworthy that 70% of digital transformation initiatives fail to contribute to business performance [5], underscoring the importance of successful digitalisation applications in streamlining business processes. Digitalisation capabilities, which refer to the ability to generate value from data produced, gathered, and stored by digital technologies in alignment with business strategy, can be cultivated through digital capacity and digital maturity. This research employs a theoretical framework to foster digital capabilities within organisations, the applicability of which was demonstrated via a longitudinal case study in a Turkish manufacturing SME. The findings reveal various strategies to adapt different digital technologies for value creation and business promotion within its industry. The journey of digitalisation in manufacturing SMEs presents several gaps that require attention, and it is crucial to align digital capabilities with the company's strategic objectives.

关键词： Digitalisation Organisational Capabilities SMEs

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Machine Learning Metrics for Network Datasets Evaluation 38th

Machine Learning Metrics for Network Datasets Evaluation

引用

38th International Conference on information Security and Privacy Protection (SEC)

作者： Soukup, Dominik Uhricek, Daniel Vasata, Daniel Cejka, Tomas Czech Tech Univ Fac Informat Technol Prague Czech Republic Brno Univ Technol Fac Informat Technol Brno Czech Republic CESNET Ale Prague Czech Republic

ISBN: (纸本)9783031563287;9783031563263;9783031563256

High-quality datasets are an essential requirement for leveraging machine learning (ML) in data processing and recently in network security as well. However, the quality of datasets is overlooked or underestimated very often. Having reliable metrics to measure and describe the input dataset enables the feasibility assessment of a dataset. Imperfect datasets may require optimization or updating, e.g., by including more data and merging class labels. Applying ML algorithms will not bring practical value if a dataset does not contain enough information. This work addresses the neglected topics of dataset evaluation and missing metrics. We propose three novel metrics to estimate the quality of an input dataset and help with its improvement or building a new dataset. This paper describes experiments performed on public datasets to show the benefits of the proposed metrics and theoretical definitions for more straightforward interpretation. Additionally, we have implemented and published Python code so that the metrics can be adopted by the worldwide scientific community.

关键词： Machine learning

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Anticipating VUCA by Utilizing the Potential of Technological and Logistical Degrees of Freedom 43rd

Anticipating VUCA by Utilizing the Potential of Technologica...

引用

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

作者： Maier, Julian B. Wiendahl, Hans-Hermann Fraunhofer Inst Mfg Engn & Automat IPA D-70569 Stuttgart Germany Univ Stuttgart Inst Ind Mfg & Management IFF D-70569 Stuttgart Germany

ISBN: (纸本)9783031716478;9783031716454;9783031716447

Facing increased market volatility necessitates robustness and flexibility to mitigate short-term disruptions and transformability to adjust to long-term changes. The degrees of freedom available for (re-)acting in this environment are determined by product requirements, production system characteristics, and production control system flexibility. The often-found sequential and decoupled consideration of technological and logistical decisions provides a narrow action space, resulting in limited flexibility. Production control with integrated consideration of logistical and technological degrees of freedom has the potential to increase flexibility by opening up the decision space. So far, research in this context is focused on job shop environments. Aiming to extend this integrated consideration to production systems with other characteristics, this article proposes a method to identify available degrees of freedom and introduces an approach to quantify their potential to mitigate the effects of company-specific turbulence patterns through a daydreaming-enhanced digital twin.

关键词： Production Control Process Planning Digital Twin Daydreaming Resilience

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Conceptualization of an Operational Capability Development Framework to Facilitate the Integration of Additive Manufacturing Based on a Use Case Perspective 43rd

Conceptualization of an Operational Capability Development F...

引用

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

作者： Gustafsson, Christopher Nygren, Christer Malardalen Univ Hamngatan 15 S-63105 Eskilstuna Sweden

ISBN: (纸本)9783031716478;9783031716454;9783031716447

This 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.

关键词： 3D Printing Adoption Implementation Production System Development Advanced Manufacturing technology

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Privacy-Preserving Clustering for Multi-dimensional Data Randomization Under LDP 1

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38th International Conference on information Security and Privacy Protection (SEC)

作者： Kikuchi, Hiroaki Meiji Univ Grad Sch Adv Math Sci 4-21-1 Nakano Tokyo 1648522 Japan Univ Rovira & Virgili Tarragona Catalonia Spain

ISBN: (数字)9783031563263

ISBN: (纸本)9783031563287;9783031563263;9783031563256

Randomization of multi-dimensional data under local differential privacy is a significant and practical application of big data. Because of the dimensionality issues, most existing works suffer from low accuracy when estimating joint probability distributions. In this paper, a set of attributes is divided into smaller clusters where the attributes are associated in terms of their dependencies. A privacy-preserving algorithm is proposed to estimate the dependencies of an attribute without disclosing the private values in the multi-dimensional data. Local differential privacy is guaranteed in the scheme. Using the clusters of attributes, the joint probabilities for multi-dimensional data can be estimated efficiently using two building blocks, called RR-independent and RR-Ind-Joint schemes. The experiments using some open datasets demonstrate that the dependencies of attributes can be estimated accurately and that the proposed algorithm outperforms existing state-of-the-art schemes in cases where the dimensionality is high.

关键词： Random processes

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Path Planning Optimisation for Multiple Drones: Repositioning the Starting Point 20th

Path Planning Optimisation for Multiple Drones: Repositionin...

引用

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

作者： Gasteratos, Gregory Karydis, Ioannis Ionian Univ Dept Informat Kerkyra 49132 Greece

ISBN: (纸本)9783031632259;9783031632235;9783031632228

Drones' power management, and its impact on their applications, faces significant challenges. Path planning, and particularly travelled distance optimisation, has been shown to be a significant factor to enhance their efficiency and effectiveness. Given a scenario where a drone must visit static stations, analysis of the significance of a path's constituent parts shows that the segments from the launch pad and the first/last station to be visited emerged as the primary candidates for further optimisation. Accordingly, and provided the launch pad's ability to relocate, a number of alternative approaches are herein proposed as candidates for the adjustment of the launch pad in order to minimise the total distance of multiple drones' paths. Extensive experimentation taking into consideration multiple scenarios pertaining to varying number of stations and available drones indicates that the reposition of the launch pad as center for all drones' routes, obtained significant improvements/minimisation in the total distance of the path ranging from 4% to 22%.

关键词： mTSP Drone path planning Path planning optimisation

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Towards an Unbiased Classification of Chest X-ray Images Using a RL Powered ACGAN Framework 1

引用

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

作者： El Beaini, Melissa Awad, Mariette Amer Univ Beirut Beirut Lebanon

ISBN: (数字)9783031632112

ISBN: (纸本)9783031632136;9783031632112;9783031632105

Computer-aided diagnosis systems are invaluable tools for healthcare providers given the overwhelming volume of medical data at their disposal. However, a significant challenge of these systems is the existence of bias in their diagnostic outcomes, particularly affecting certain protected groups who are more susceptible to receiving incorrect diagnoses. In this paper, we investigate bias mitigation strategies, leveraging the discriminator of auxiliary conditional generative adversarial networks as well as reinforcement learning agents for the classification of chest X-ray images. Our research targets bias reduction by deploying reward functions designed to enhance the true positivity rate of the discriminator. We explore the impact of a hierarchical label distribution-based reward, a novel approach that aims to further improve bias in the diagnostic process. Through extensive evaluation and comparison, we study the disparities in true positivity rates across various different approaches. We also highlight the efficiency of each strategy in achieving more equitable diagnostic outcomes.

关键词： Chest X-ray Fairness RL ACGAN reward

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Model-Based System Engineering Approach to Design Customized Puzzle-Based Movable Rack Systems 43rd

Model-Based System Engineering Approach to Design Customized...

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

作者： Weerasinghe, Kasuni Vimasha Sgarbossa, Fabio Lobov, Andrei Norwegian Univ Sci & Technol NTNU Dept Mech & Ind Engn Trondheim Norway

ISBN: (纸本)9783031716393;9783031716379;9783031716362

The Puzzle-Based Movable Rack (PBMR) system is a new type of warehouse storage system that enhance the performance of Puzzle-based storage (PBS) systems with a new compact configuration where unit loads can be moved using racks on autonomous wheels in multi-directions. Various storage and movement policies are employed to optimize system performance, enhancing both density and throughput. To implement the proposed storage solution, we consider the PMBR system from an engineering-to-order (ETO) perspective. In this study, we investigate the design process of the PBMR system considering it as an ETO product with the support of a model-based system engineering approach. Utilizing methods and tools from the system engineering discipline facilitates defining warehouse functions, systems, and the necessary resources for system implementation. This enables comprehensive documentation of all stages of warehouse design. Furthermore, these warehouse models can seamlessly integrate with various analyses and existing domain knowledge, thereby bolstering warehouse design decisions. Further, There are the necessary technical and theoretical foundations in place for reliable PBMR design, which also offer insights into howthe other ETO products and related system designs could be implemented.

关键词： puzzle-based movable racks warehouse design engineering-to-order model-based system engineering

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Fuzzy TOPSIS with Interval Data Based Possibility Measure Approach for Multi-criteria Group Decision Making: Application to information System Selection 43rd

Fuzzy TOPSIS with Interval Data Based Possibility Measure Ap...

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

作者： Zegai, Ryma Khettabi, Imen Benyoucef, Lyes Abbas, Moncef USTHB Univ DGRSDT AMCD & RO Lab Algiers Algeria USTHB Univ DGRSDT LAROMAD Lab Algiers Algeria Aix Marseille Univ Univ Touloun CNRS LIS Marseille France

ISBN: (纸本)9783031716317;9783031716294;9783031716287

Supply chain partners increasingly make shared important decisions to achieve joint goals. Decisions include selecting partners, sites, machines, technologies, transportation modes, maintenance policies, etc. In this paper, we address the supply chain selection as a multi-criteria group decision making (MCGDM) problem. More specifically, a fuzzy TOPSIS with interval data-based possibility measure approach is developed. To bring consensus among the decision makers (DMs) regarding the preferences, a possibility measure algorithm is used. The final fuzzy decision matrix is formed by consensus of all the concerned partners. Finally, to demonstrate the applicability of the approach, a simple illustrative example dedicated to information system selection problem is presented and the obtained numerical results analysed.

关键词： Fuzzy TOPSIS Groupe decision making Multi-criteria Consensus information system selection

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Guiding Process Mining Projects with the IPMM Framework: A Case Study with a German Manufacturer 43rd

Guiding Process Mining Projects with the IPMM Framework: A C...

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

作者： Obersteiner, Florian Lueftenegger, Egon Salzburg Univ Appl Sci IT & Digitalisat Salzburg Austria

ISBN: (纸本)9783031716355;9783031716331;9783031716324

Process mining is a transformative approach that leverages event data from disparate information systems to discover, improve performance, and ensure compliance of business processes. Bridging the gap between theory and practice, especially for newcomers, is a pressing concern. To address this issue, we have developed our Integrative Process Mining Management (IPMM) framework, which consists of a methodology and tools to provide organizations with a concise overview of existing process mining methodologies, their pros and cons, and their alignment with current maturity levels. Within our methodology we present our management tool: The Process Mining Maturity Level Cheat Sheet. This process mining management tool outlines potential goals for each maturity level. The IPMM framework offers a structured solution. Our framework emphasizes the importance of tailoring process mining techniques to an organization's maturity level. Finally, we apply our framework in a German manufacturing company.

关键词： Process Mining Maturity Models Business Informatics Framework Industrial Engineering

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