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Inspection Planning Improvement Framework Based on the PDCA Cycle 43rd

Inspection Planning Improvement Framework Based on the PDCA ...

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

作者： Reis, Angelica Muffato Costa, Lino Sousa, Sergio Univ Minho ALGORITMI Res Ctr P-4800058 Guimaraes Portugal

ISBN: (纸本)9783031716317;9783031716294;9783031716287

Inspection Planning (IP) is critical to assure product quality during the Manufacturing Stage. IP takes place mainly during the stage of Process Development and is considered an inflexible static output resulting from the initial plan. However, revisions can become necessary according to the manufacturing system's dynamic situation. Therefore, a flexible IP is needed, which can be achieved through a Continuous Improvement (CI) approach. Although the advantages of feedback mechanisms are renowned, the design of quality control loops is not common in practice. Specifically, there has been no application of the PDCA cycle aimed at performance improvement of IP. This paper proposes an IP improvement framework based on the PDCA cycle. The framework is applied in a case study in which IP changes were driven by a Kaizen Event. This paper provides new empirical evidence and extends the body of knowledge related to the CI of IP, showing that companies can stabilize and even increase their inspection performance by implementing improvement actions through the proposed framework. The case study describes alterations related to which quality characteristics to inspect and whereby, while suggesting that changes in inspection extent are more likely to happen during the ramp-up phase. It concludes that companies need to create and maintain structures and processes that enable a quick, effective response to internal and external change drivers through a well-structured approach. This framework provides an organized and easily understood management approach for the effective improvement of IP.

关键词： Continuous Improvement Inspection Planning PDCA Quality Control Quality Management

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Understanding the Drivers of Lean Learning in Industrial Environments 43rd

Understanding the Drivers of Lean Learning in Industrial Env...

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

作者： Pereira, Bruno Ferreira, Luis Miguel D. F. Silva, Cristovao Univ Coimbra Dept Mech Engn CEMMPRE Coimbra Portugal

ISBN: (纸本)9783031658969;9783031658945;9783031658938

Organizations are increasingly recognizing the benefits of adopting lean tools. However, a successful lean transformation depends on the active involvement of all organizational members. Comprehensive employee training is, therefore, fundamental to the effective implementation of lean manufacturing practices. Although collaborative and dynamic practical sessions have been implemented in certain university settings for teaching lean principles, there is limited research exploring how learning outcomes are influenced by participants' characteristics. Examining these relationships is even scarcer in the literature concerning industrial training activities. This study examines the impact of lean training on employee learning within an industrial organization, looking at 177 participants and analyzing the relationship between learning outcomes and variables such as self-efficacy beliefs, prior knowledge, motivation, and enjoyment. The results show that the training significantly improved the participants' lean knowledge level. A significant relationship was found between self-efficacy beliefs and employees' motivation, which in turn had a positive impact on their learning. Based on these findings, companies should consider lean training that engages employees' curiosity using non-traditional teaching methods.

关键词： lean training learning self-efficacy beliefs motivation enjoyment prior knowledge

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Artificial Intelligence Reshapes Supply Chain and Lean: Framework and Main Insights 43rd

Artificial Intelligence Reshapes Supply Chain and Lean: Fram...

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

作者： Amrani, Anne Zouggar Cormican, Kathryn Hernandez, Diego Ruiz Univ Bordeaux IMS Lab CNRS IMS F-5218 Bordeaux France Univ Galway Sch Engn Galway Ireland Univ Sheffield Management Sch Sheffield S Yorkshire England

ISBN: (纸本)9783031716317;9783031716294;9783031716287

Smart manufacturing leverages various Industry 4.0 technologies to enhance the operational performance of manufacturing systems, strengthening their reconfigurability and resilience within Supply Chains (SC). Artificial Intelligence (AI) stands out as one of the most potent technologies driving these advancements, fundamentally reshaping SC behaviors. Concurrently, Lean production methodologies are employed to optimize manufacturing systems, synergizing with AI to reinforce technological efficiency. Recognizing the necessity of AI across diverse SC domains such as production, maintenance, logistics, supply, and quality, becomes imperative to comprehend its utility, applicability, and relevance. This paper tries to elucidate the role, limitations, and application framework of AI within Supply Chain Management (SCM), shedding light on its integration into contemporary SC paradigms. By updating existing knowledge on AI applications in SCM and sustaining Lean Processes, the authors address the evolving landscape of SC dynamics. Embracing this new era, the authors aim to delineate the boundaries of AI in SCM and articulate a framework for its prudent inclusion in the modern world. The Supply Chain Operations Reference (SCOR) model is utilized to contextualize the vast potential of AI, opening a rapidly evolving collaborative network facilitated by AI applications and decision support tools.

关键词： Artificial Intelligence Lean Supply Chain Management Challenges

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Do We Really Need Simulation for a Transition Towards Circular Supply Chain Management? A Possible Answer from Scientific Literature 43rd

Do We Really Need Simulation for a Transition Towards Circul...

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

作者： Moroni, Francesco Viola, Alessandro Gallo, Mose Romagnoli, Giovanni Zammori, Francesco Univ Parma Vle Sci 181-A I-43124 Parma Italy Univ Napoli Federico II I-80125 Naples Italy

ISBN: (纸本)9783031716249;9783031716225;9783031716218

In this paper, we conducted a structured literature review of 98 contributions that have been classified to investigate the impact of simulation techniques to model more sustainable Supply Chains (SCs). A massive number of resources are still being used to make and manage products, with the availability of natural resources that is becoming scarcer every day. This poses a challenge that supply chain management must address, coupled with enhanced customer awareness for environmental issues. Recent strategies to solve these issues include concepts such as the Circular Economy and Circular Supply Chain Management. The latter, in fact, integrates Circular Economy principles to enable the transition from Linear Supply Chain networks to circular models. Simulation modelling techniques, such as Discrete-Event and Agent-Based Simulation, are well-known solutions that support SC planning and design. As such, they can also support the transition towards circular SCs. Our findings highlight a lack of Closed-Loop and Circular Supply Chain network models, and clearly show that further investigation is required to comprehend and evaluate the effectiveness of simulation for Circular and Closed-Loop SC planning and design.

关键词： Model Agent-based Simulation Discrete-event simulation Literature review

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A Transnational Perspective on Artificial Intelligence Cultural Challenges 16th

A Transnational Perspective on Artificial Intelligence Cultu...

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

作者： Kromer, Steffen Victoria Int Hsch Wirtschaft Tech & Kultur Bernburger Str 24-25 D-10963 Berlin Germany

ISBN: (纸本)9783031675379;9783031675355;9783031675348

US and Chinese multinational corporations are actively leading and shaping artificial intelligence strategies. Such dominance from these two countries requires a more transnational perspective on artificial intelligence (AI) and its implications on cultures worldwide. Exclusion of other cultures has important implications on national AI strategies of major players and other countries. With a view to preserve cultural identities worldwide, a critical approach and transnational perspective on AI cultural challenges is needed.

关键词： Artificial intelligence

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Toward 1+1=3 with Lean Robotics: The Introduction of a Human-Centered Robotization Method 9th

Toward 1+1=3 with Lean Robotics: The Introduction of a Human...

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

作者： Wolffgramm, Milan R. Corporaal, Stephan Groen, Aard J. van Roij, Mitchell J. P. A. M. Saxion Univ Appl Sci MH Tromplaan 28 NL-7513 AB Enschede Netherlands Ctr Expertise Technol Educ TechYourFuture MH Tromplaan 28 NL-7513 AB Enschede Netherlands Univ Groningen Broerstr 5 NL-9712 CP Groningen Netherlands HAN Univ Appl Sci Ruitenberglaan 31 NL-6826 CC Arnhem Netherlands

ISBN: (纸本)9783031632679;9783031632655;9783031632648

Industrial robotics and Lean Manufacturing are becoming increasingly intertwined with one another. Lean Robotics aims to synergize process, machine, and human capital challenges by pursuing a human-centered design approach. In this contribution, we argued that, despite its promising virtues, Lean Robotics' human-centered design approach lacks a methodological bases and runs the risk of becoming overshadowed by technical issues. To preserve Lean Robotics' human-centered design approach, the goal of this contribution was to introduce a suitable human-centered robotization method. Building further upon work from the field of Human-Robot Interaction, a robotization method on human-robot interdependence optimization was brought forward and reviewed extensively. To unite this method with the guiding principles of Lean Robotics, a human-centered extension was developed. This human-centered extension, referred to as the Interdependence Scoring Method, is ready to test and comes with a step-by-step explanation and various illustrations. Lean educators, scholars, and professionals have been encouraged to test the Interdependence Scoring Method in a wide variety of class, lab, and field settings. Moreover, these Lean experts are urged to bundle their strengths and, collectively, challenge the future of manufacturing with Lean Robotics.

关键词： Lean Manufacturing Lean Robotics Human-Robot Interaction Interdependence Human-Centered Design Design Methodology

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An Association Analysis of Digital Technologies in Circular Economy Scenarios 43rd

An Association Analysis of Digital Technologies in Circular ...

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

作者： Gallo, Mose Moroni, Francesco Popolo, Valentina Romagnoli, Giovanni Univ Napoli Federico II Piazzale Tecchio 80 I-80125 Naples Italy Univ Parma Vle Sci 181-A I-43124 Parma Italy Telemat Univ Pegaso Ctr Direz ISOLA F2 I-80143 Naples Italy

ISBN: (纸本)9783031716249;9783031716225;9783031716218

The paper investigates the role of Digital Technologies (DTs) in fostering the implementation of CE models and practices by means of a systematic literature review. It first identifies available CE frameworks, by focusing on the so called 9R framework and the ReSOLVE framework. Then, DTs are briefly described and their features are appropriately summarized. Relevant literature is categorized by industry sector, study type, and CE strategies and employed DTs. Later, the collected papers are statistically analysed in order to highlight association effects between CE strategies, DTs and industrial sectors. As previous works highlighted that, in many instances, DTs are integrated in order to support CE objectives, we also verify the existence of preferred combinations of DTs for specific CE strategies.

关键词： Circular Economy 9R framework ReSOLVE Digital Technologies

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Modeling the Air Conditioner Performance Tests Using Artificial Neural Network Simulator (ANNS-AC) 20th

Modeling the Air Conditioner Performance Tests Using Artific...

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

作者： AlMutiri, Yousef M. AlRashidi, Mohammed S. AlQahtani, AbdulRahman M. Alqahtani, Turki S. Sadek, A. M. Saudi Stand Metrol & Qual Org SASO Gen Adm Labs Riyadh Saudi Arabia

ISBN: (纸本)9783031632259;9783031632235;9783031632228

The aim of the present study was to use the artificial neural network (ANN) to simulate the performance of air condition (AC) unit for validation purposes. This helps save time and effort instead of repeating the test for validation. A backpropagation ANN models with multiple hidden layers were trained using 22 input variables and three targets. More than 800 test reports were used to train the ANN model. The input processing functions, neuron sizes, starting values of the weights and biases, layer transfer functions, training functions, and performance evaluation functions were discussed. The uncertainty components associated with the experimental measurements and learning leakage in the ANN model were evaluated. It was found that the ANN model can predict the performance of AC unit under certain experimental conditions using the information provided by the manufacture. However, to achieve a reliable result, the output of the ANN model should be evaluated as an average of at least 50 runs, with reinitiating the starting values of the weights and biases in each run. The model was also used to study the effect of airflow on the performance of the AC and identify the conditions leading to high AC efficiency. The results indicated that under specific conditions, the AC can achieve maximum efficiency without increasing the power input.

关键词： Artificial Neural Network Electrical Efficiency Air Conditioner Test

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Emerging Research Topics Identification Using Temporal Graph Neural Networks 20th

Emerging Research Topics Identification Using Temporal Graph...

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

作者： Charalampous, Antonis Djouvas, Constantinos Tsapatsoulis, Nicolas Kouzaridi, Emily Cyprus Univ Technol Limassol Cyprus

ISBN: (纸本)9783031632211;9783031632198;9783031632181

The dynamic landscape of research necessitates effective methods for the timely identification of emerging research topics, a critical pursuit for researchers and decision makers in both governmental and industrial spheres. Traditional approaches to this challenge have predominantly relied on retrospective analyses, limiting their applicability in real world scenarios where proactive foresight is paramount. This study addresses this constraint through the introduction of a novel methodology for the future prediction of emerging research topics, employing temporal graph neural networks. Our proposed framework revolves around the construction of co-word graphs, serving as input for our innovative machine learning model designed to forecast keyword frequencies in forthcoming time periods. To delineate emerging themes, keywords undergo clustering via a graph entropy algorithm that are subsequently sorted in terms of their "emergence score". To validate the efficacy of our methodology, we apply it to forecast emerging research topics for the year 2022. The results showcase the potential of our approach, offering valuable insights into the trajectory of research themes poised to gain prominence in the near future.

关键词： Machine Learning Graph Neural Networks Research Trends Network Analysis Community Detection

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Navigating Lifecycle Management Models: Testing of a Lifecycle Management Framework for Product-Service Systems 43rd

Navigating Lifecycle Management Models: Testing of a Lifecyc...

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

作者： Stoll, Oliver West, Shaun Chavez, Clarissa A. Gonzalez Zust, Simon Wiesner, Stefan Hsch Luzern Tech & Architektur Technikumstr 21 CH-6048 Horw Switzerland Chalmers Univ Technol Horsalsvagen 7a S-41296 Gothenburg Sweden Univ Bremen BIBA Bremer Inst Prod & Logist GmbH Hsch Ring 20 D-28359 Bremen Germany

ISBN: (纸本)9783031716393;9783031716379;9783031716362

There is a gap between the concepts of Product-Service System (PSS) and Lifecycle Management (LCM) models. This study highlights the organisational hurdles in assimilating PSS into existing LCM frameworks, emphasising the disconnect between current models and the dynamic digital transformations reshaping organisational landscapes. It argues that the inability of existing LCM frameworks to accommodate the rapid pace of digitalisation is a critical barrier to effective PSS management, underscoring the need for a digital-inclusive approach to LCM. This paper takes a case study approach, examining various industry cases and describing organisations' practical struggles aligning PSS LCM frameworks with digital advancements and organisational dynamics. These real-world examples provide a foundation for developing a novel, comprehensive PSS LCM framework that integrates digital tools and systems as central components. This proposed framework aims to enhance organisational adaptability, streamline processes, and foster better communication and collaboration within entities managing PSS. This study contributes to academic research and practical applications in PSS LCM, advocating for a more digitally integrated, organization-centric approach and offering a dual contribution of theoretical insights and practical implementations.

关键词： Product-Service Systems (PSS) Lifecycle Management (LCM) digital integration

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