Blockchain-empowered sustainable manufacturing and product lifecycle management in industry 4.0: A survey

Leng, Jiewu; Ruan, Guolei; Jiang, Pingyu; Xu, Kailin; Liu, Qiang; Zhou, Xueliang; Liu, Chao

doi:10.1016/j.rser.2020.110112

Cited by 335 publications

(287 citation statements)

References 117 publications

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“…According to Kusiak [ 45 ] and Leng et al [ 6 ], resorting to alternative process routings decreases the total number of available machines in the system. Table 6 shows the number of machines in the system with the assumption of considering and eliminating alternative process routings.…”

Section: Numerical Examplementioning

confidence: 99%

“…Hence, resorting to digital twin manufacturing improve the economic and environmental pillars of the sustainable manufacturing systems. The implementation of blockchain technology as an enabler to drive existing manufacturing information systems such as enterprise resource planning (ERP) and manufacturing execution system (MES) also could also strengthen the sustainability pillars through energy-saving and energy-conserving benefits in designing manufacturing systems [ 6 ]. “The presence of alternative processes routings is typical in many discrete, multi-batch, small lots size production environments” [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

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A mathematical model for designing a reliable cellular hybrid manufacturing-remanufacturing system considering alternative and contingency process routings

Telegraphi

Bulgak

2021

SN Appl. Sci.

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Due to the stringent awareness toward the preservation and resuscitation of natural resources and the potential economic benefits, designing sustainable manufacturing enterprises has become a critical issue in recent years. This presents different challenges in coordinating the activities inside the manufacturing systems with the entire closed-loop supply chain. In this paper, a mixed-integer mathematical model for designing a hybrid-manufacturing-remanufacturing system in a closed-loop supply chain is presented. Noteworthy, the operational planning of a cellular hybrid manufacturing-remanufacturing system is coordinated with the tactical planning of a closed-loop supply chain. To improve the flexibility and reliability in the cellular hybrid manufacturing-remanufacturing system, alternative process routings and contingency process routings are considered. The mathematical model in this paper, to the best of our knowledge, is the first integrated model in the design of hybrid cellular manufacturing systems which considers main and contingency process routings as well as reliability of the manufacturing system.

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Section: Numerical Examplementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A mathematical model for designing a reliable cellular hybrid manufacturing-remanufacturing system considering alternative and contingency process routings

Telegraphi

Bulgak

2021

SN Appl. Sci.

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“…Sustainability: The importance of sustainability has become significant in recent years, especially since UN member states’ SDG adaptation. Leng et al (2020) [ 4 ] studied SDGs and correlated “Goal 12: Responsible consumption and production” and “Goal 9: Industry, innovation, and infrastructure” with sustainable manufacturing practices. They also identified that distributed manufacturing, including crowd and clustered manufacturing, are the primary driver for these goals and surveyed different BCTs available in the literature from the manufacturing sustainability perspective.…”

Section: Reference Architecturementioning

confidence: 99%

“…Ivanov and Dolgui (2020) [ 3 ] researched the supply chain viability and its effects on society. Leng et al (2020) [ 4 ] focused on the United Nations’ (UN) sustainable development goals (SDG) and highlighted how BCT could be leveraged to fulfill SDGs. Schuetz and Venkatesh (2020) [ 5 ] studied rural India and explored the social and economic inclusion through BCT based supply chain networks.…”

Section: Introductionmentioning

confidence: 99%

Blockchain Reference System Architecture Description for the ISA95 Compliant Traditional and Smart Manufacturing Systems

Yalcinkaya

Maffei

Onori

2020

Sensors

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The next-generation technologies enabled by the industry 4.0 revolution put immense pressure on traditional ISA95 compliant manufacturing systems to evolve into smart manufacturing systems. Unfortunately, the transformation of old to new manufacturing technologies is a slow process. Therefore, the manufacturing industry is currently in a situation that the legacy and modern manufacturing systems share the same factory environment. This heterogeneous ecosystem leads to challenges in systems scalability, interoperability, information security, and data quality domains. Our former research effort concluded that blockchain technology has promising features to address these challenges. Moreover, our systematic assessment revealed that most of the ISA95 enterprise functions are suitable for applying blockchain technology. However, no blockchain reference architecture explicitly focuses on the ISA95 compliant traditional and smart manufacturing systems available in the literature. This research aims to fill the gap by first methodically specifying the design requirements and then meticulously elaborating on how the reference architecture components fulfill the design requirements.

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“…Faced with the evolution of the manufacturing paradigm and the characteristics of the smart transformation of shop floor's production systems, SocialM is extensively studied by the academic community as a new type of serviceoriented manufacturing paradigm. These studies are mainly devoted to the definition and system architecture of SocialM, manufacturing service mechanism, classification of social resources, modeling of social behavior and social relations, system configuration and operation, and case analysis [6,[8][9][10][11]. Despite the remarkable achievements, the existing manufacturing paradigms are still insufficient to meet the typical challenges and problems in the production shop floor.…”

Section: Introductionmentioning

confidence: 99%

Social Production System: A Three-Layer Smart Framework for Implementing Autonomous Human-Machine Collaborations in a Shop Floor

2021

Self Cite

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The continuous fast-changing of production requirements and the development of advanced information technology have promoted the development of the production system in a more knowledgeintensive, resources-decentralized, and autonomous collaborative manner. In order to provide guidelines for the smart transformation of the production shop floor, this paper proposes a smart production system with a three-layer framework defined as the social production system (Social-PS) by integrating cyber-physical system (CPS), knowledge graph technology, and production-event driven model. The concept of smart resources (include smart operator, smart machine, smart workpiece, and smart gateway), social sensor, the unified information model is clarified to construct the physical carrier of Social-PS. The unified knowledge repository's overall construction method based on the knowledge graph is elaborated to provide taskresource-associated heterogeneous production data sharing and management for human-machine collaboration. Subsequently, to support the production dynamic monitoring and interaction, a productionevent and active knowledge indexing model is proposed. Furthermore, to validate the proposed Social-PS framework, a software and hardware integrated prototype system is implemented to demonstrate the knowledge-driven human-machine collaboration of the production process, which provides a basis for realizing smart and autonomous production collaboration.

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Blockchain-empowered sustainable manufacturing and product lifecycle management in industry 4.0: A survey

Cited by 335 publications

References 117 publications

A mathematical model for designing a reliable cellular hybrid manufacturing-remanufacturing system considering alternative and contingency process routings

A mathematical model for designing a reliable cellular hybrid manufacturing-remanufacturing system considering alternative and contingency process routings

Blockchain Reference System Architecture Description for the ISA95 Compliant Traditional and Smart Manufacturing Systems

Social Production System: A Three-Layer Smart Framework for Implementing Autonomous Human-Machine Collaborations in a Shop Floor

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