Enterprise systems’ life cycle in pursuit of resilient smart factory for emerging aircraft industry: a synthesis of Critical Success Factors’(CSFs), theory, knowledge gaps, and implications

Rashid, Asif; Masood, Tariq; Erkoyuncu, John Ahmet; Tjahjono, Benny; Khan, Nawar; Shami, Muiz ud din

doi:10.1080/17517575.2016.1258087

Cited by 26 publications

(28 citation statements)

References 114 publications

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“…A vast variety of products is already commercially available, all having their individual benefits and drawbacks. Similar to the vast number of ERP solutions, pilot studies are part of a sound system configuration [99,100]. This can improve the system configuration and increase the possibility of implementation success in the end.…”

Section: Technology Context 311 System Configuration (Sc)mentioning

confidence: 99%

Augmented reality in support of Industry 4.0—Implementation challenges and success factors

Masood

Egger

2019

Robotics and Computer-Integrated Manufacturing

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328

189

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Highlights o Industrial Augmented Reality (AR) is a central part of Industry 4.0 initiatives o Providing guidance on which aspects industry should focus on to ensure AR implementation success o Technology context and organisational fit are key success factors for the AR implementation o User barrier and external support do not significantly influence the AR implementation success o While technological aspects are important, organisational issues are more relevant for industry

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Section: Technology Context 311 System Configuration (Sc)mentioning

confidence: 99%

Augmented reality in support of Industry 4.0—Implementation challenges and success factors

Masood

Egger

2019

Robotics and Computer-Integrated Manufacturing

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328

189

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“…The implications of enterprise system implementation in the industry 4.0, may act as a precursor for future researchers to contemplate the interaction through whole the product life cycle. As an outcome of the research, the exploration of the role of the big data, the analytics and the cyber-physical systems in achieving the resilience objectives of a smart and connected cyber-physical factory would be a core research topic (Asif et al, 2018).…”

Section: Related Workmentioning

confidence: 99%

“…Those functionalities could harness and manage changes and evolutions. Personal interviews with industry experts clearly demanded for strategic alliances with the technology vendors to ensure incremental enhancement in the functions in pursuit of a smart factory to ultimately earn manufacturing excellence and resilience (Asif et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Cyber-Physical Systems, a new formal paradigm to model redundancy and resiliency

Lezoche

Panetto

2018

Enterprise Information Systems

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Cyber-Physical Systems (CPS) are systems composed by a physical component that is controlled or monitored by a cyber-component, a computer-based algorithm. Advances in CPS technologies and science are enabling capability, adaptability, scalability, resiliency, safety, security, and usability that will far exceed the simple embedded systems of today.CPS technologies are transforming the way people interact with engineered systems. New smart CPS are driving innovation in various sectors such as agriculture, energy, transportation, healthcare, and manufacturing. They are leading the 4-th Industrial Revolution (Industry 4.0) that is having benefits thanks to the high flexibility of production.The Industry 4.0 production paradigm is characterized by high intercommunicating properties of its production elements in all the manufacturing processes. This is the reason it is a core concept how the systems should be structurally optimized to have the adequate level of redundancy to be satisfactorily resilient. This goal can benefit from formal methods well known in various scientific domains such as artificial intelligence. So, the current research concerns the proposal of a CPS meta-model and its instantiation. In this way it lists all kind of relationships that may occur between the CPSs themselves and between their (cyber-and physical-) components. Using the CPS meta-model formalization, with an adaptation of the Formal Concept Analysis (FCA) formal approach, this paper presents a way to optimize the modelling of CPS systems emphasizing their redundancy and their resiliency.

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“…Thus, (three dimensional) concurrent engineering ((3D)CE) addresses this challenge by simultaneously developing the product, its processes, and its supply chain in order to ensure the best trade-off between the various project requirements (Fine, Golany, and Naseraldin 2005;Ilhami, Subagyo, and Masruroh 2018). Wu et al (2014) combined product lifecycle management (PLM) and enterprise resource planning perspectives (Rashid et al 2018) to form an engineering change management framework based on configuration management. However, Singh, Misra, and Chan (2020) highlighted that PLM concept has not been properly institutionalised in manufacturing organisations.…”

Section: Introductionmentioning

confidence: 99%

“…First thrust is on Industry 4.0 technologies for the factories of the future including Small and Medium Enterprises (Masood and Sonntag 2020), which includes technologies like augmented reality (Egger and Masood 2020;Masood and Egger 2019;Masood and Egger 2020), immersive and collaborative artificial-reality in design of human-robot workspaces (Malik, Masood, and Bilberg 2020a;Malik, Masood, and Kousar 2020b;Malik, Masood, and Kousar 2020c). Second thrust is on creating Sˆ3 enterprises based on sensing, smart and sustainability capabilities while third thrust is on cloud manufacturing which is linked to networked organisations (Rashid et al 2018;Vernadat et al 2018). Though most of these concepts are focus of many recent studies, it is important to first identify, analyse and discuss the core concepts that characterise changeable systems across value chains.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of changeable systems across value chains

Masood

Kern

Clarkson

2020

International Journal of Production Research

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Engineering changes (ECs) are inevitable for businesses due to increasing innovation, shorter lifecycles, technology and process improvements and cost reduction initiatives. The ECs could propagate and cause further changes due to existing system dependencies, which can be challenging. Hence, change management (CM) is a relevant discipline, which aims to reduce the impact of changes. EC assessment methods form the basis of CM that support in assessing system dependencies and the impact of changes. However, understanding of which factors influence the changeability across value chains (VCs) is limited. This research adopted a VC approach to EC assessment. Dependencies in products and processes were captured, followed by risk (i.e. likelihood x impact) assessment of ECs using change prediction method (CPM). Four industrial case studies were conducted (3x automotive, 1x furniture manufacturing) to identify design (product) and manufacturing (process) elements with high risk to be affected by ECs. Based on the case results, characteristics were identified that influence changeability across VC. This contributed to the CM domain while businesses could also use the results to assess ECs across VC, and improve the design of products and processes by increasing their changeability across VC e.g. by proactive decoupling or reactive handling of system dependencies.

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Enterprise systems’ life cycle in pursuit of resilient smart factory for emerging aircraft industry: a synthesis of Critical Success Factors’(CSFs), theory, knowledge gaps, and implications

Abstract: ud-din Shami (2017): Enterprise systems' life cycle in pursuit of resilient smart factory for emerging aircraft industry: a synthesis of Critical Success Factors'(CSFs), theory, knowledge gaps, and implications, Enterprise Information Systems,

Cited by 26 publications

References 114 publications

Augmented reality in support of Industry 4.0—Implementation challenges and success factors

Augmented reality in support of Industry 4.0—Implementation challenges and success factors

Cyber-Physical Systems, a new formal paradigm to model redundancy and resiliency

Characteristics of changeable systems across value chains

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