Synchroperation in industry 4.0 manufacturing

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Abstract

Industry 4.0 connotes a new industrial revolution with the convergence between physical and digital spaces, which is revolutionizing the way that production operations are managed. The requirement of increased productivity, improved flexibility and resilience, and reduced cost in Industry 4.0 manufacturing calls for new paradigms that comply with the changing of production and operations management. In this paper, a concept of synchroperation, which is defined as “synchronized operations in an agile, resilient and cost-efficient way, with the spatiotemporal synchronization of men, machines and materials as well as data-driven decision-making, by creating, establishing and utilizing cyber-physical visibility and traceability in operations management”, is proposed as a new paradigm of production and operations management for Industry 4.0 manufacturing. A Hyperconnected Physical Internet-enabled Smart Manufacturing Platform (HPISMP) is developed as a technical solution to support manufacturing synchroperation. Graduation Intelligent Manufacturing System (GiMS) with divide and conquer principles is proposed to address the complex, stochastic, and dynamic nature of manufacturing for achieving synchroperation. An industrial case is carried out to validate the effectiveness of the proposed concept and method. This article provides insight into exploring production and operations management in the era of Industry 4.0.

Introduction

Industry 4.0 connotes a new industrial revolution with the convergence between physical and digital spaces, which is triggered by the confluence of disruptive technologies, such as Internet of Things (IoT) (Atzori et al., 2010), cyber-physical systems (CPS) (Lee et al., 2015), cloud computing (Xu, 2012), big data (Kusiak, 2017), digital twin (Tao et al., 2017) and artificial intelligence (AI) (Li et al., 2017), etc. With the support of these emerging technologies, traditional manufacturing resources have been converted into smart objects augmented with identification, sensing and network capabilities (Korteum et al., 2009). Thus, the dynamic production operations could be organized and managed in an integrated, optimized and synchronized manner with real-time information sharing and visibility (Guo et al., 2020a). The hyper-connection, digitization and sharing in the context of Industry 4.0 have the potential to revolutionize, or at least change, the way that production operations are done and therefore, how operations should be managed (Olsen and Tomlin, 2020).

In the past decades, one acknowledged breakthrough in production and operations management was the Toyota production system (TPS) with Kanbans and Just-in-Time (JIT) principle in the mid-1970s (Sugimori et al., 1977). TPS is also best known as JIT and Lean Production philosophy (Holweg, 2007), in addition to similar terms of flexible manufacturing (ElMaraghy, 2005), adaptive manufacturing (Monostori et al., 2010) and agile manufacturing (Inman et al., 2011), which are also viewed as main manufacturing paradigms at that time (Hu, 2013). JIT emphasizing that only the necessary products, at the necessary time, in necessary quantity are manufactured, has played a key role in revolutionizing production and operations management for the modern manufacturing industry. After realizing the benefits of JIT in production, many manufacturing enterprises have indeed made possible attempts to implement TPS/JIT systems, which has rendered the feasibility of developing advanced manufacturing systems, such as Enterprise Resource Planning (ERP) systems (Jacobs, 2007), Advanced Planning and Scheduling (APS) systems (Zhong et al., 2013), and Manufacturing Execution Systems (MES) (Almada-Lobo, 2015) for contemporary production and operations management.

These manufacturing paradigms and advanced manufacturing systems for production and operations management are widely appreciated, but are insufficient in the era of Industry 4.0 (Yin et al., 2018; Koh et al., 2019; Ivanov et al., 2020). The requirement of customized demand, increased productivity, improved flexibility and resilience, and reduced cost calls for more synchronized production and operations management that comply with changing business climate in Industry 4.0 manufacturing. Production synchronization provides promising insights for production and operations management in Industry 4.0 manufacturing environment and received increasing attention in recent years (Qu et al., 2016; Luo et al., 2017; Lin et al., 2019; Pan et al., 2021). However, studies on how to leverage Industry 4.0 technologies and production synchronization to develop new paradigms of production and operations management for Industry 4.0 manufacturing are blank. Paving the way for the transformation and implementation of Industry 4.0 manufacturing, major challenges still exist as follows.

  • (1)

    How to identify key characteristics for transformation and implementation of Industry 4.0 manufacturing, and derive a paradigm of production and operations management in the era of Industry 4.0 from these characteristics?

  • (2)

    How to leverage advanced technologies in the era of Industry 4.0 for developing effective architectures to support the transformation of the new production and operations management paradigm?

  • (3)

    How to cope with the complex, dynamic and stochastic nature of manufacturing by proposing effective methodologies to support the implementation of the new production and operations management paradigm?

The challenges mentioned above motivated this study and, therefore, a concept of synchroperation, which is defined as “synchronized operations in an agile, resilient and cost-efficient way, with the spatiotemporal synchronization of men, machines and materials as well as data-driven decision-making, by creating, establishing and utilizing cyber-physical visibility and traceability in operations management”, is proposed as a new paradigm of production and operations management in the era of Industry 4.0 with cyber-physical synchronization, data-driven decision synchronization and spatio-temporal synchronization. A Hyperconnected Physical Internet-enabled Smart Manufacturing Platform (HPISMP) assisted with digital twin and consortium blockchain, is developed as a technical solution to support the transformation of manufacturing synchroperation. With the support of the HPISMP, Graduation Intelligent Manufacturing System (GiMS) with “divide and conquer” principles is proposed to address the complex, stochastic, and dynamic nature of manufacturing for achieving synchroperation. An industrial case from an air conditioner manufacturer is carried out to illustrate the potential advantages of manufacturing synchroperation.

The remainder of this paper is organized as follows. Related research streams are briefly reviewed in Section 2. In Section 3, the concept of synchroperation is introduced. A HPISMP is developed in Section 4. Section 5 presents GiMS with “divide and conquer” principles for achieving synchroperation. An industrial case from an air conditioner manufacturer is carried out in Section 6. Section 7 concludes the paper with some remarks on possible directions for future research.

Section snippets

Literature review

This section reviews related research that is categorized into three streams. The first stream briefly reviews manufacturing paradigms and systems over the past decades before Industry 4.0. The second stream focuses on the development of Industry 4.0 manufacturing. The third stream discusses the emergence of production synchronization in Industry 4.0. The contributions and limitations of these works are highlighted as follows.

There are several typical manufacturing paradigms such as flexible

Concept of manufacturing synchroperation

The requirement of customized demand, increased productivity, improved flexibility and resilience, and reduced cost calls for efficient production and operations management that complies with changing business climate in Industry 4.0 manufacturing. Based on the literature review, and from a manufacturing point of view, we understand synchroperation as a new paradigm of production and operations management in the era of Industry 4.0 as follows.

Synchroperation refers to “synchronized operations”

Synchroperation platform for cyber-physical traceability and visibility

To achieve the cyber-physical visibility and traceability serving for synchroperation, a HPISMP, leveraging various IoT technologies, digital twins, big data techniques and consortium blockchain, is proposed in this paper. It should be highlighted that this technical framework is motivated by previous studies that have been validated in real-life case studies (Zhong et al., 2013; Qiu et al., 2015; Qu et al., 2016; Guo et al., 2020d; Kang et al., 2021). In addition, reinduction and

Graduation Intelligent Manufacturing System for synchroperation

This section proposes the GiMS with “divide and conquer” principles, to address the complex, stochastic, and dynamic nature of manufacturing for achieving synchroperation. The basic form and principles of GiMS can be found in previous research (Lin et al., 2019; Guo et al., 2020a, 2020b). As shown in Fig. 3, this paper presents the five key phases to implement GiMS in factories.

Case study: Synchroperable hybrid assembly line Based on GiMS

In this section, the GiMS is applied to a novel manufacturing layout named hybrid assembly line (HAL), which is inspired by a world-leading air conditioner manufacturer in Guangdong-Hong Kong-Macao Greater Bay Area (GBA). In the case company, thousands of varieties of air-conditioner products have been developed to face the fast-changing market with high flexibility. Recently, HAL is adopted to upgrade the assembly process and increase productivity. The HAL consists of a sequence of assembly

Conclusions

Industry 4.0 connotes a new industrial revolution with the convergence between physical and digital spaces, which are currently revolutionizing the way that production operations are managed. To explore the evolution of production and operations management paradigms in the era of Industry 4.0, a concept of synchroperation with enabling technologies and associated methodologies are proposed for transformation and implementation of Industry 4.0 manufacturing.

The main contributions of this paper

Acknowledgement

Acknowledgement to Zhejiang Provincial, Hangzhou Municipal, Lin'an City Governments, Hong Kong ITF Innovation and Technology Support Program (ITP/079/16LP) and financial support from the 2019 Guangdong Special Support Talent Program-Innovation and Entrepreneurship Leading Team (China) (2019BT02S593).

References (72)

  • S.J. Hu

    Evolving paradigms of manufacturing: from mass production to mass customization and personalization

    Procedia Cirp

    (2013)
  • R.A. Inman et al.

    Agile manufacturing: relation to JIT, operational performance and firm performance

    J. Oper. Manag.

    (2011)
  • K. Kang et al.

    Auction-based cloud service allocation and sharing for logistics product service system

    J. Clean. Prod.

    (2021)
  • X.T. Kong et al.

    Cyber physical ecommerce logistics system: an implementation case in Hong Kong

    Comput. Ind. Eng.

    (2020)
  • J. Lee et al.

    A cyber-physical systems architecture for industry 4.0-based manufacturing systems

    Manufacturing Letters

    (2015)
  • Y.C. Lin et al.

    A ubiquitous manufacturing network system

    Robot. Comput. Integrated Manuf.

    (2017)
  • H. Luo et al.

    Synchronized production and logistics via ubiquitous computing technology

    Robot. Comput. Integrated Manuf.

    (2017)
  • H. Luo et al.

    Synchronized scheduling of make to order plant and cross-docking warehouse

    Comput. Ind. Eng.

    (2019)
  • L. Monostori et al.

    Towards adaptive and digital manufacturing

    Annu. Rev. Contr.

    (2010)
  • S.V. Nagalingam et al.

    Latest developments in CIM

    Robot. Comput. Integrated Manuf.

    (1999)
  • Y.H. Pan et al.

    Digital twin based real-time production logistics synchronization system in a multi-level computing architecture

    J. Manuf. Syst.

    (2021)
  • X. Qiu et al.

    Physical assets and service sharing for IoT-enabled supply hub in industrial park (SHIP)

    Int. J. Prod. Econ.

    (2015)
  • S. Torkaman et al.

    Multi-stage multi-product multi-period production planning with sequence-dependent setups in closed-loop supply chain

    Comput. Ind. Eng.

    (2017)
  • H.P. Wiendahl et al.

    Changeable manufacturing-Classification, design and operation

    Cirp Annals

    (2007)
  • X. Xu

    From cloud computing to cloud manufacturing

    Robot. Comput. Integrated Manuf.

    (2012)
  • K. Zhang et al.

    Digital twin-based opti-state control method for a synchronized production operation system

    Robot. Comput. Integrated Manuf.

    (2020)
  • R.Y. Zhong et al.

    Intelligent manufacturing in the context of industry 4.0: a review

    Engineering

    (2017)
  • F. Almada-Lobo

    The industry 4.0 revolution and the future of manufacturing execution systems (MES)

    Journal of Innovation Management

    (2015)
  • K.R. Baker

    Sequencing rules and due-date assignments in a job shop

    Manag. Sci.

    (1984)
  • J.P.U. Cadavid et al.

    Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0

    J. Intell. Manuf.

    (2020)
  • S. Chankov et al.

    Synchronization in manufacturing systems: quantification and relation to logistics performance

    Int. J. Prod. Res.

    (2016)
  • S. Chankov et al.

    Influencing factors of synchronization in manufacturing systems

    Int. J. Prod. Res.

    (2017)
  • J. Chen et al.

    Synchronisation of production scheduling and shipment in an assembly flowshop

    Int. J. Prod. Res.

    (2015)
  • J. Chen et al.

    Manufacturing synchronization in a hybrid flowshop with dynamic order arrivals

    J. Intell. Manuf.

    (2019)
  • H.A. ElMaraghy

    Flexible and reconfigurable manufacturing systems paradigms

    International Journal of Jlexible Janufacturing Systems

    (2005)
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