The Big Data Application Strategy for Cost Reduction in Automotive Industry

Ge, Xinyu; Jackson, Jonathan E.

doi:10.4271/2014-01-2410

Cited by 43 publications

(23 citation statements)

References 8 publications

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“…x (Unruh 2018) x (van Wijk and van Wijk 2015) x (Voet et al 2018) x (Woern et al 2018) x (Zhong and Pearce 2018) x Total 9 6 5 4 3 2 1 x (Davis, Aid, and Zhu 2017) x (Franquesa, Navarro, and Bustamante 2016) x (Franquesa and Navarro 2018) x (Ge and Jackson 2014) x (Jose and Ramakrishna 2018) x (Kache and Seuring 2017) x (Kusiak 2018) x (J. Li et al 2015) x (Lin 2018) x (Lindström et al 2018) x (Marconi et al 2018) x (Salminen, Ruohomaa, and Kantola 2017) x (Seele and Lock 2017) x (Song et al 2017) x (Soroka et al 2017) x (Tseng et al 2018) x Total 4 3 3 2 2 1 1 1 1 reduction strategies through remanufacturing (Ge and Jackson 2014), and assessing challenges and opportunities in SCM practices (Kache and Seuring 2017).…”

Section: Big Data and Analyticsmentioning

confidence: 99%

“…Few works focused on BDA, CPSs, and the IoT. BDA has been exploited for assessing cost reduction strategies through remanufacturing (Ge and Jackson 2014), CPSs for improving current remanufacturing performance (Liu et al 2016), and the IoT for developing innovative ones (French, Benakis, and Marin-Reyes 2017). However, several papers did not consider a specific I4.0 technology.…”

Section: Referencementioning

confidence: 99%

“…Simulation was the prevalent technique, followed by AM, BDA, and the IoT. From one perspective, simulation (in the form of blockchain) was exploited for (i) auditing cooperative CE networks (Alexandris et al 2018), (ii) assessing the impact of business model changes (Simons 2017), for example, through agent-based or multi-method approaches , and (iii) assessing redistributed manufacturing or service-based design (Panarotto, Wall, and Larsson 2017) (French, Benakis, and Marin-Reyes 2017) x (Ge and Jackson 2014) x (Karastoyanov and Karastanev 2018) x (Kuik, Kaihara, and Fujii 2016) x (Lahrour and Brissaud 2018) x (Le, Paris, and Mandil 2017a) x (Le, Paris, and Mandil 2017b) x (Leino, Pekkarinen, and Soukka 2016) x (Liu et al 2016) x (Ruggeri et al 2017) x (Shanshan Yang et al 2018) x (Siddiqi et al 2017) x (Stark et al 2014) x (Tolio et al 2017) x (X. V. x (B. Xu 2016)…”

Section: Circular Business Models and Smart Servicesmentioning

confidence: 99%

“…However, there is still a great distance between theory and practice (Gorissen, Vrancken, and Manshoven 2016). Regarding the CE perspective, authors and scholars described challenges, opportunities, frameworks, models, and best-in-class multinationals (Angioletti et al 2016;Antikainen, Uusitalo, and Kivikytö-Reponen 2018;Askoxylakis 2018;Ge and Jackson 2014). However, very limited contributions about what kind of technologies can support the implementation of CE, especially in Small and Medium Enterprises (SMEs), are available (Y.…”

Section: Introductionmentioning

confidence: 99%

“…V. Wang and Wang 2018;Soroka et al 2017). Regarding the I4.0 perspective, many contributions assessed the potential support offered by key enabling technologies to companies (Ge and Jackson 2014;Isaksson, Hallstedt, and Öhrwall Rönnbäck 2018;He, Xu, and Xu 2010;Gorissen, Vrancken, and Manshoven 2016). However, only in a very few cases was the environmental benefit (the circularity level) reachable through the adoption of I4.0-based technologies assessed (Angioletti, Despeisse, and Rocca 2017;Lahrour and Brissaud 2018;van Schaik and Reuter 2016).…”

Section: Introductionmentioning

confidence: 99%

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Assessing relations between Circular Economy and Industry 4.0: a systematic literature review

Rosa

Sassanelli

Urbinati

et al. 2019

International Journal of Production Research

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Industry 4.0 (I4.0) and Circular Economy (CE) are undoubtedly two of the most debated topics of the last decades. Progressively, they gained the interest of policymakers, practitioners and scholars all over the world. Even if they have been usually described as two independent research fields, there are some examples presenting overlaps between these topics, represented by hybrid categories like Circular I4.0 and Digital CE. Starting from these two perspectives, an innovative framework both highlighting the links between I4.0 and CE and unveiling future research fields has been developed. Basing on one of the two perspectives, results show as it is possible to enhance a set of different relations. Depending on a dedicated area of either CE or I4.0 it is possible to see the prevalence of some I4.0 technology than others. However, the influence of I4.0 technologies on CE is always verified.

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Section: Big Data and Analyticsmentioning

confidence: 99%

Section: Referencementioning

confidence: 99%

Section: Circular Business Models and Smart Servicesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessing relations between Circular Economy and Industry 4.0: a systematic literature review

Rosa

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show abstract

Application of digital technologies for sustainable product management in a circular economy: A review

2022

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Digital technologies (DTs), such as the Internet of Things, big data, artificial intelligence, or blockchain, are considered as enablers for a more sustainable and circular economy. So far, literature on these topics has mostly focused on specific DTs and subareas of sustainable product management (SPM). The aim of this paper is to provide a more comprehensive overview of current and potential examples of DT applications in SPM (e.g., product design/assessment, supply chain management, and business models). The collected examples (n = 146) were analyzed based on a systematic literature review, using quantitative and qualitative content analysis. Deductive and inductive analyses of the examples revealed the potential of DTs in terms of their usability along the product life cycle, their role as enablers for circular economy strategies and in specific SPM activities. DT application often entails only incremental improvements, for example, increased efficiency of existing processes, with more radical forms of improvement remaining relatively scarce. There is clear room for greater adoption and optimization of DTs, in various areas of SPM, so as to accelerate the transition towards a more sustainable and circular economy.

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Synergizing lean management and circular economy: Pathways to sustainable manufacturing

Sasso,

Filho,

Ganga

2024

Corp Soc Responsibility Env

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Our research focuses on integrating circular economy (CE) and Lean Management (LM) within the manufacturing sector, a proactive response to the escalating pressures of globalization, environmental sustainability, and market competition. Through a comprehensive systematic literature review, the research uncovers how CE principles can fortify and enrich LM practices, the role of LM in facilitating a transition towards CE, their combined impact on manufacturing performance, and the crucial environmental factors influencing this integration. The findings underscore that CE principles significantly strengthen LM practices by advocating waste minimization and resource optimization, thereby contributing to operational efficiency and sustainability. Conversely, LM aids the transition to a CE by optimizing resource use and minimizing waste, aligning with sustainability goals. LM supports recycling and remanufacturing by employing Just‐in‐Time and value stream mapping methodologies, augmented by Industry 4.0 technologies for seamless CE integration. Despite challenges like integration barriers and the need for organizational change, the synergy between CE and LM offers substantial benefits for environmental performance, operational efficiency, and competitive advantage. Our paper enriches academic knowledge and provides practical applications in sustainable manufacturing practices, offering a roadmap for organizations striving for sustainable operational excellence. Moreover, it also paves the way for future studies to further explore the synergistic potential of CE and LM through empirical studies, quantitative analyses, and the exploration of Industry 4.0 technologies.

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The Big Data Application Strategy for Cost Reduction in Automotive Industry

Cited by 43 publications

References 8 publications

Assessing relations between Circular Economy and Industry 4.0: a systematic literature review

Assessing relations between Circular Economy and Industry 4.0: a systematic literature review

Application of digital technologies for sustainable product management in a circular economy: A review

Synergizing lean management and circular economy: Pathways to sustainable manufacturing

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