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Sustainability Struggles: Investigating the Interactions of Lean Practices and Barriers to Environmental Performance in Manufacturing 9th

Sustainability Struggles: Investigating the Interactions of ...

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

作者： Ferrazzi, Matteo Frecassetti, Stefano Portioli-Staudacher, Alberto Politecn Milan Dept Management Econ & Ind Engn Milan Italy

ISBN: (纸本)9783031632679;9783031632655;9783031632648

Nowadays, companies are struggling to improve their environmental impact. In this sense, using Lean Manufacturing practices helps companies have a reduced environmental impact, thus leading to improved environmental performance. However, having this improvement takes a lot of work, and the journey is long and full of hurdles. The goal of this paper is to identify the barriers that hamper the improvement of environmental performance and which are the Lean Manufacturing practices which help companies reach an enhanced level of environmental performance. Through two systematic literature reviews, this paper aims to highlight both barriers and practices and provides future research directions.

关键词： Lean Sustainability Green Barriers Manufacturing

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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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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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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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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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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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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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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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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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