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Understanding Part Complexity: A Novel Approach for the Identification of Complexity-Influencing Part Characteristics 43rd

Understanding Part Complexity: A Novel Approach for the Iden...

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

作者： Tjaden, Greta Grosse, Nick Meyer, Anne TRUMPF SE Co KG Ditzingen Germany TU Dortmund Univ Dortmund Germany Karslruhe Inst Technol Karlsruhe Germany

ISBN: (纸本)9783031716478;9783031716454;9783031716447

Machine tool manufacturers must understand the requirements of their customers to survive in challenging markets, e.g. by understanding their customers' order characteristics. We want to explore part complexity as a measure to fill this gap of data-based customer information. This paper presents the procedure that we developed for part complexity assessment and is centered around expert consultation and the results from implementing this procedure at our industry partner, a machine tool manufacturer for sheet metal processing. Our contributions are (1) a literature review on part complexity and assessment approaches, (2) a definition of part complexity, (3) a tried-and-tested procedure for the assessment of part complexity including an online tool, (4) 80 sheet metal processing geometries, (5) codebooks containing the relevant part characteristics to assess part complexity of an exemplary production unit, (6) detailed explanation of the labeling results for three geometries, and (7) refinements for enabling transferring the labeling results to new geometries using a classification algorithm.

关键词： Part Complexity Machine Tool Manufacturing Sheet Metal Processing Random Forest Classifier

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How Lean Tools Contribute to a Production System, Investigation in the Automotive Industry 43rd

How Lean Tools Contribute to a Production System, Investigat...

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

作者： Urban, Wieslaw Tochwin, Daniel Bialystok Tech Univ Fac Management Engn Ojca Tarasiuka 2 PL-16001 Kleosin Poland

ISBN: (纸本)9783031716317;9783031716294;9783031716287

Lean Manufacturing adoption is a gradual process, and the application status of Lean tools influences enterprise performance. Only well-prepared Lean initiatives bring real benefits. This study aims to identify the effective Lean tools required for eliminating waste and also verify the main factors that motivate companies to Lean applications. The study adopted a quantitative research method. Research data were collected through a questionnaire to the target population of medium and large companies in the automotive industry in Poland. The study confirmed that Lean tools are regularly implemented in automotives and the most popular tools are 5S and Visual Management. Statistically significant relationships were identified between specific Lean tools and waste reduction. The widest relationship with waste reduction is observed in VSM application, which is not frequently used by companies. This suggests that great benefits can be obtained when an organization employs the approach focusing on the whole stream of value in the company. The research reveals a challenge with physical stream and in cooperation in value chains in front of vast part of studied companies. The study provides also a basis for a practical guidance

关键词： Lean Manufacturing Lean tools automotive industry

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Application of Blockchain Based e-Procurement Solution for Mitigating Corruption in Smart Cities Using Digital Identities 6th

Application of Blockchain Based e-Procurement Solution for M...

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6th ifip WG 5.5 International Cross-Domain Conference on Internet of Things

作者： Siddiqui, Arish Tansen, Kazi Abdalla, Hassan Univ East London London England

ISBN: (纸本)9783031458842;9783031458828;9783031458811

Procurement is an important governance tool that is used by the government and development agencies globally to manage and fulfil their complex development plans. However, corruption is a persistent and pervasive issue that hinders ethical progress and it can have a detrimental effect on the outcome of the proposed project that involves more than a few stakeholders. The implementation of Blockchain based e-procurement has been suggested as the potential solution due to its underlying characteristics of immutability and disintermediation. Blockchain technology utilizes distributed consensus, offering evident advantages to procurement by using the digital identities of the stakeholders in the bidding process and maintaining the privacy and security of the contract. This paper systematically maps and implements the existing literature to comprehend the utilization of Blockchain technology in the procurement domain and its potential to mitigate corruption in tender-based environments in smart cities by using digital identities.

关键词： Blockchain Digital Identities Procurement Smart Cities Smart Contracts

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Application of Circular Strategies for ETO Products 43rd

Application of Circular Strategies for ETO Products

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

作者： Backstrand, Jenny Lofving, Malin Jonkoping Univ Sch Engn Gjuterigatan 5 S-55111 Jonkoping Sweden

ISBN: (纸本)9783031716393;9783031716379;9783031716362

The circular economy (CE) concept seeks to minimize resource input, waste generation, emissions, and energy waste by slowing, narrowing, and closing material and energy cycles. Various circular strategies exist to reduce the consumption of virgin materials and minimize waste production. These strategies, often referred to as "Rs" (e.g., Reduce, Reuse, Recycling, etc.) or R-frameworks can be described as different strategies to transition from a linear model to CE. The R-frameworks encompasses a range of options aimed at preserving the value of resources within the system. Even though there exists an abundance of literature about CE and the Rs, we have neither found a common definition of R-frameworks, nor a distinct adaptation of the Rs for an ETO context. The purpose of the paper is to explore how circular strategies can be applied to ETO products. To fulfil this purpose, illustrative cases are used to explore the application of circular strategies, operationalized by R-frameworks, in two different ETO-contexts.

关键词： Circularity Engineer-to-order R-framework

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FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations 20th

FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfact...

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

作者： Sharma, Shubham Gee, Alan Henderson, Jette Ghosh, Joydeep Univ Texas Austin Austin TX 78712 USA Amira Learning Seattle WA USA TecnoTree Espoo Finland

ISBN: (纸本)9783031632259;9783031632235;9783031632228

Counterfactual explanations were first introduced as a human-centric way to understand model behavior. While validity remains core to the counterfactual explanation definition, researchers have also identified other desirable properties that make counterfactual explanations more usable on the deployment and the end-user sides: speed of explanation generation, robustness/sensitivity, and succinctness of explanations. Motivated by the need to make counterfactual explanations practically viable for large-scale datasets, we introduce a novel set of algorithms called FASTER-CE, which generate sparse and robust counterfactual explanations efficiently at test time by finding promising search directions for counterfactuals in a latent space that is specified via an autoencoder. These directions are determined based on gradients with respect to each of the original input features as well as of the target, as estimated in the latent space. The ability to quickly examine combinations of the most promising gradient directions as well as to incorporate additional user-defined constraints enables FASTER-CE to generate multiple counterfactual explanations that are sparse, realistic, and robust to input manipulations. Through experiments on multiple datasets of varied complexities, we show that FASTER-CE is not only much faster at test time, but also capable of considering a larger set of desirable and often conflicting properties for counterfactual explanations.

关键词： Large datasets

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A Flexible Job Shop Scheduling Problem Involving Reconfigurable Machine Tools Under Industry 5.0 43rd

A Flexible Job Shop Scheduling Problem Involving Reconfigura...

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

作者： Bakhshi-Khaniki, Hessam Tavakkoli-Moghaddam, Reza Hanzalek, Zdenek Vahedi-Nouri, Behdin Univ Tehran Coll Engn Sch Ind Engn Tehran Iran Czech Tech Univ Czech Inst Informat Robot & Cybernet Ind Informat Dept Prague Czech Republic

ISBN: (纸本)9783031716478;9783031716454;9783031716447

The rise of Industry 5.0 has introduced new demands for manufacturing companies, requiring a shift in how production schedules are managed to address human-centered, environmental, and economic goals comprehensively. The flexible job shop scheduling problem (FJSSP), which involves processing operations on various capable machines, accurately reflects the complexities of modern manufacturing settings. This paper investigates the FJSSP involving reconfigurable machine tools with configuration-dependent setup times, while integrating human aspects like worker assignments, moving time, and rest periods, as well as minimizing total energy consumption. A mixed-integer programming (MIP) model is developed to simultaneously optimize these objectives. The model determines the assignment of operations to machines, workers, and configurations while sequencing operations, scheduling worker movements, and respecting rest periods, and minimizing overall energy consumption. Given the NP-hard nature of the FJSSP with worker assignments and reconfigurable tools, a memetic algorithm (MA) is proposed. This meta-heuristic evolutionary algorithm features a three-layer chromosome encoding method, specialized crossover and mutation strategies, and neighborhood search mechanisms to enhance solution quality and diversity. Comparisons of MA with MIP and genetic algorithms (GA) on benchmark instances demonstrate the MA's efficiency and effectiveness, particularly for larger problem instances where MIP becomes impractical. This research paves the way for sustainable and resilient production schedules tailored for the factory of the future under the Industry 5.0 paradigm. The work bridges a crucial gap in current literature by integrating worker and environmental impact into the FJSSP with reconfigurable machine models.

关键词： Flexible Job Shop Scheduling Reconfigurable Manufacturing Systems Human Centric Sustainable Manufacturing Industry 5.0

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Balancing High Social Welfare and Short Waiting Times: Determining a Reasonable Buyout Price in Auction-Based Restaurant Reservation Systems 43rd

Balancing High Social Welfare and Short Waiting Times: Deter...

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

作者： Suginouchi, Shota Kanesaka, Shoma Mizuyama, Hajime Aoyama Gakuin Univ 5-10-1 FuchinobeChuoku Sagamihara Kanagawa 2525258 Japan

ISBN: (纸本)9783031716317;9783031716294;9783031716287

This study proposes an auction-based dynamic reservation system, the "synthetic scheduling auction" (SSA), to maximize social welfare through restaurant services. Each potential customer group submits 3-tuple bids to the restaurant, including the meal starting time, meal selection, and number of people in the group. After receiving these bids, the restaurant offers a buyout price to the group. To calculate the buyout price, the restaurant conducts an auction with synthetic customer agents who intend to book the restaurant within the reservation period. These agents are generated based on the restaurant's past customer statistics data. The buyout price is the "expected nuisance fee" based on the money transfer function determined by the VCG mechanism applied for static auctions. By conducting an auction with synthetic customers, the restaurant determines the buyout price without waiting for actual future reservation applicants. Therefore, SSA achieves an increased social welfare than in the First-Come-First-Served (FCFS) reservation system, the current standard, and a decreased waiting time for each customer group compared with the static auction mechanism. Computer experiments were conducted on a fictitious restaurant to compare the social surplus and seat occupancy rates when the restaurant used the SSA and FCFS system. The results demonstrate that the SSA is superior in both metrics, that is, social surplus and seat occupancy rates.

关键词： Booking System Restaurant Industry Scheduling Auction

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Factors of Intention to Use a Photo Tool: Comparison Between Privacy-Enhancing and Non-privacy-enhancing Tools 38th

Factors of Intention to Use a Photo Tool: Comparison Between...

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

作者： Bracamonte, Vanessa Pape, Sebastian Lobner, Sascha KDDI Res Inc Saitama Japan Goethe Univ Frankfurt Frankfurt Germany

ISBN: (纸本)9783031563287;9783031563263;9783031563256

Tools that detect and transform privacy sensitive information in user content have been proposed to enhance privacy in contexts such as social media. However, previous research has found that privacy-related concerns can be higher in these types of tools compared to similar non-privacy tools. In this paper, we focus on adoption of these tools and investigate how the knowledge that a data-processing tool has a privacy purpose affects privacy-related factors of intention to use such a tool, when compared with a similar tool with a non-privacy-related purpose. We conducted a user study where we described a privacy-enhancing and a non-privacy-enhancing photo manipulation app to two groups of participants. The results show that general and context-specific privacy-related perception has different effects for the two types of apps. In particular, although participants perceived the same level of privacy risk towards both types of apps, this risk only had a significant negative effect on intention to use in the case of the privacy-enhancing app. Furthermore, disposition to value privacy increased both perceived risk and intention to use the privacy-enhancing app. We discuss these findings in the context of the diffusion of privacy-enhancing tools for user content.

关键词： Privacy-enhancing tools Privacy Risk User perception

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Improved NO2 Prediction Using Machine Learning Algorithms 20th

Improved NO2 Prediction Using Machine Learning Algorithms

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

作者： Jaja-Wachuku, Chukwuemeka Garbagna, Lorenzo Saheer, Lakshmi Babu Oghaz, Mandi Maktab Dar Anglia Ruskin Univ Cambridge CB1 1PT England

ISBN: (纸本)9783031632174;9783031632150;9783031632143

Improved air pollution management approaches are required to ensure better air quality and tackle climate change. The ability to accurately forecast air quality, particularly the concentration of NO2 in the air, is crucial especially for urban settings due to direct health implications. Various machine and deep learning models have been used for air quality prediction. However, the application of these approaches on NO2 concentration levels, focusing on specific cities and specific climatic conditions, has been investigated on a limited scale. In this study, the performance of commonly used algorithms, such as Random Forest Regressor, Light Gradient-Boosting Machine (LightGBM), Extreme Gradient Boosting (XGBoost), and Long Short-Term Memory (LSTM) networks for predicting NO2 concentration levels based on time series and meteorological data including climatic conditions is assessed. Further, ensemble modeling techniques are evaluated as a voting regressor using Random Forest, LightGBM, and XGBoost as base models for improving the prediction of NO2 concentration levels. Each model was evaluated using cross-validated (5-fold) Mean Absolution Error and Root Mean Square Error metrics with LSTM emerging as the best-performing model.

关键词： Air quality modeling NO2 predictions Machine learning Deep learning ensemble models

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Bidirectional Integration of Digital Product Passports into information Systems of Production Planning and Control 25th

Bidirectional Integration of Digital Product Passports into ...

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

作者： Spiss, Maria Berninger, Stefanie Perau, Martin Janssen, Jokim Boos, Wolfgang Schroeer, Tobias Rhein Westfal TH Aachen Inst Ind Management FIR Aachen Germany

ISBN: (纸本)9783031717451;9783031717437;9783031717420

Circular economy (CE) is considered to be the business model of the future, since it enables decoupling of economic growth and resource consumption. Digitalization is an enabler for companies to accomplish the transition to circular business models, as it enables automated data sharing and usage, but it also poses an enormous challenge. The data required for the implementation of circular business models is generated during the entire life cycle of a product. Digital product passports (DPP) represent a solution for the exchange of product-related data across the entire life cycle and various stakeholders. So far, they have hardly been integrated into production planning and control (PPC) systems. This paper describes requirements, specific use cases and related data flows for an integration of DPP and PPC systems. Finally, a model is presented that enables event-driven creation and use of data for the bidirectional integration of DPP into PPC systems.

关键词： Digital Product Passport Circular Economy Production Planning and Control EPCIS Event information system

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