Module-based machinery design: a method to support the design of modular machine families for reconfigurable manufacturing systems

Gauss, Leandro; Lacerda, Daniel Pacheco; Sellitto, Miguel Afonso

doi:10.1007/s00170-019-03358-1

Cited by 41 publications

(14 citation statements)

References 47 publications

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“…Furthermore, modularization aligns with I4.0 technologies like IoT and AI, enabling data-driven decision-making and predictive analytics in each module. Through this integration, procurement and supply chain management can achieve enhanced efficiency, reduced operational costs, improved collaboration, and rapid responsiveness to market changes, fostering a dynamic interconnected environment and optimized for greater resilience and adaptability in an ever-evolving business landscape [160].…”

Section: Discussionmentioning

confidence: 99%

Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes

Althabatah,

Yaqot,

Menezes

et al. 2023

Logistics

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Background: the advent of Industry 4.0 (I4.0) innovations has revolutionized supply chain management through technologies like the Internet of Things (IoT) and Artificial Intelligence (AI) integrated into procurement processes. Methods: this study addresses a critical knowledge gap by conducting a comprehensive review of 111 papers sourced from the Scopus database. These papers are classified into seven sub-themes encompassing I4.0 or procurement 4.0 (P4.0), big data, IoT, additive manufacturing, blockchain, e-procurement, and AI. Results: the investigation reveals that I4.0 technologies, particularly e-procurement and blockchain, have garnered substantial attention. Such technologies offer diverse value propositions, encompassing streamlined supplier evaluation, lead time reduction, cost optimization, and enhanced data security. Conclusion: the paper underscores pivotal trends and insights for the evolution of Procurement 4.0, illuminating a path toward more efficient supply chain management.

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Section: Discussionmentioning

confidence: 99%

Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes

Althabatah,

Yaqot,

Menezes

et al. 2023

Logistics

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“…Similarly, Gauss et al [39] propose a modularitybased design method for mechanical engineering (M engineering), focused on the development of highly reactive and reconfigurable production systems. Thereby, shorter lead-time and lower development cost can be realized.…”

Section: Reuse Strategies In the Aps Domain: Software Configuration mentioning

confidence: 99%

Success Factors for the Design of Field-level Control Code in Machine and Plant Manufacturing - an Industrial Survey -

Vogel‐Heuser

Fischer

Neumann

et al. 2021

Preprint

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The amount of software in automated production systems, including its development effort, is continuously increasing to currently up to 35-50% of the development personnel. Consequently, success factors for achieving modularity and complexity management of control software are of high economic interest. Scientific solutions are manifold but often not implemented in industry. This paper introduces the study QoaPS SWE (Quality of automated Production Systems’ Software Engineering) providing insights into 61 machine and plant manufacturing companies to give quantitative and qualitative results to five essential research questions on success factors in the design of field-level control code. Compared to preceding surveys, QoaPS SWE achieves statistically significant results for software maturity (MMOD+), complexity, and model-based software engineering and provides detailed insights into causes and consequences for single criteria, thus clearly identifying obstacles to be addressed in future research and with industrial countermeasures. Especially staff qualification and organizational issues are identified as obstacles to applying the object-oriented programming paradigm for control software in machine and plant manufacturing. Validity is ensured by analyzing the statistical significance of the results in addition to comparisons with earlier surveys and interviews as well as the comparison with already existing and accepted maturity levels. The provided qualitative and quantitative results will allow the benchmarking of companies’ maturity and the derivation of concrete recommendations for companies depending on their MMOD+ value and the evaluated characteristics.

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“…In an other way, Mesa et al [39], Haddou Benderbal et al [23], Saliba et al [48], and Gauss et al [20] propose each an RMS design methodology based on the evaluation of a modularity criterion.…”

Section: Rps Designmentioning

confidence: 99%

Framework for the design and evaluation of a reconfigurable production system based on movable robot integration

Eynaud

Klement

Roucoules

et al. 2021

Int J Adv Manuf Technol

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Enterprises now face a global, dynamic, and unpredictable economic environment. In response to quick changes of the demand, the production needs to have the ability to adapt rapidly to meet the production requirements. The Reconfigurable Manufacturing System (RMS) paradigm enables such capabilities. However, defining design and reconfiguration rules is highly challenging, as it requires a broad knowledge encompassing the inclusion of technological, production, and economic metrics, as well as an understanding of a reconfiguration strategy, determining the necessary reconfiguration frequency of the system. For now, no global methodology taking all those aspects into account has been proposed. This article presents an original framework for the design, evaluation, and reconfiguration of the Reconfigurable Production System (RPS). New metrics to measure reconfigurability are defined. The design approach consists in three main steps which are individually developed. The selection of the appropriated production system is based on the comparison of reconfigurability and productivity indicators. Finally, the reconfiguration strategy is presented. The methodology is applied on a case study from the automotive industry.

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Module-based machinery design: a method to support the design of modular machine families for reconfigurable manufacturing systems

Cited by 41 publications

References 47 publications

Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes

Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes

Success Factors for the Design of Field-level Control Code in Machine and Plant Manufacturing - an Industrial Survey -

Framework for the design and evaluation of a reconfigurable production system based on movable robot integration

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