Dynamic modeling and chaos control of sustainable integration of informatization and industrialization

Zhu, Jianhua; Sun, Yanming

doi:10.1016/j.chaos.2020.109745

Cited by 20 publications

(9 citation statements)

References 34 publications

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“…On the other hand, Yan and Ma (2021) studied a fuzzy stochastic model describing information integration to provide standards for the stagnation and prosperity of industrialization and informatization. Zhu and Sun (2020) established a dynamic model from the perspective of quality management to show the impact of chaos on enterprise TIOII management and to help enterprises understand how to use and control chaos in TIOII. Kang et al (2016) proposed a hybrid framework based on TIOII and a learning behavior evaluation system to address the problem of information overload.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of the integration of industrialization and information-based entropy AHP–cross-efficiency DEA model

Zhu

Wan

Zhao

et al. 2023

CMS

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Purpose The purpose of this paper is to provide scientific guidance for the integration of industrialization and information (TIOII). In recent years, TIOII has promoted the development of intelligent manufacturing in China. However, many enterprises blindly invest in TIOII, which affects their normal production and operation. Design/methodology/approach This study establishes an efficiency evaluation model for TIOII. In this paper, entropy analytic hierarchy process (AHP) constraint cone and cross-efficiency are added based on traditional data envelopment analysis (DEA) model, and entropy AHP–cross-efficiency DEA model is proposed. Then, statistical analysis is carried out on the integration efficiency of enterprises in Guangzhou using cross-sectional data, and the traditional DEA model and entropy AHP–cross-efficiency DEA model are used to analyze the integration efficiency of enterprises. Findings The data show that the efficiency of enterprise integration is at a medium level in Guangzhou. The efficiency of enterprise integration has no significant relationship with enterprise size and production type but has a low negative correlation with the development level of enterprise integration. In addition, the improved DEA model can better reflect the real integration efficiency of enterprises and obtain complete ranking results. Originality/value By adding the entropy AHP constraint cone and cross-efficiency, the traditional DEA model is improved. The improved DEA model can better reflect the real efficiency of TIOII and obtain complete ranking results.

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Section: Literature Reviewmentioning

confidence: 99%

Evaluation of the integration of industrialization and information-based entropy AHP–cross-efficiency DEA model

Zhu

Wan

Zhao

et al. 2023

CMS

Self Cite

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“…Enterprise systems such as information systems and supply chains are complex systems flagged by complexity (Merali, 2006; Zhu and Sun, 2020). Complexity is various in real-world systems, and researchers in different areas hold disparate views about complexity.…”

Section: A Complexity Science Perspective For Blockchain-enabled Smar...mentioning

confidence: 99%

Blockchain for smart manufacturing systems: a survey

Song

Zhu

2021

CMS

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Purpose Smart manufacturing is the prime gripper for the transformation and upgrading of the manufacturing industry. Smart manufacturing systems (SMSs) largely determine how smart manufacturing evolves in technical and organizational dimensions and how it realizes values in products, production or services. SMSs are growing rapidly and receiving tons of attention from academic research and industrial practice. However, the development of SMSs is still in its fancy, and many issues wait to be identified and solved, such as single point failures, low transparency and ineffective resource sharing. Blockchain, an emerging technology deriving from Bitcoin, is competent to aid SMSs to conquer troubles due to its decentralization, traceability, trackability, disintermediation, auditability and etc. The purpose of this paper is to investigate the blockchain applications in SMSs, seek out the challenges faced by blockchain-enabled SMSs (BSMSs) and provide referable research directions and ideas. Design/methodology/approach A comprehensive literature review as a survey is conducted in this paper. The survey starts by introducing blockchain concepts, followed by the descriptions of a literature review method and the blockchain applications throughout the product life cycle in SMSs. Then, the key issues and challenges confronting BSMSs are discussed and some possible research directions are also proposed. It finally presents qualitative and quantitative descriptions of BSMSs, along with some conclusions and implications. Findings The findings of this paper present a deep understanding about the current status and challenges of blockchain adoption in SMSs. Furthermore, this paper provides a brand new thinking for future research. Originality/value This paper minutely analyzes the impacts that blockchain exerts on SMSs in view of the product life cycle, and proposes using the complexity science thinking to deal with BSMSs qualitatively and quantitatively, including tackling the current major problems BSMSs face. This research can serve as a foundation for future theoretical studies and enterprise practice.

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“…Players will make new choices on the basis of the market conditions of traditional fuel vehicles and NEVs [ 7 ]. As one of the factors affecting product sales, production has always been the focus of auto enterprises' decision making, but most of them only study short-term Nash equilibrium games and cannot show the optimal yield of long-term repeated games [ 8 ]. On the other hand, the original long-term and stable competition in the fuel vehicle market has been broken.…”

Section: Introductionmentioning

confidence: 99%

Complexity and chaos control of dynamic evolution in energy vehicle production decisions

Xian¹,

Du²,

Shahzad³

et al. 2023

Heliyon

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Dynamic modeling and chaos control of sustainable integration of informatization and industrialization

Cited by 20 publications

References 34 publications

Evaluation of the integration of industrialization and information-based entropy AHP–cross-efficiency DEA model

Evaluation of the integration of industrialization and information-based entropy AHP–cross-efficiency DEA model

Blockchain for smart manufacturing systems: a survey

Complexity and chaos control of dynamic evolution in energy vehicle production decisions

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