The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review

Zheng, Ting; Ardolino, Marco; Bacchetti, Andrea; Perona, Marco

doi:10.1080/00207543.2020.1824085

Cited by 424 publications

(234 citation statements)

References 214 publications

Supporting

Mentioning

222

Contrasting

Unclassified

Order By: Relevance

“…Altogether, SLS have been studied very rarely in production and logistics, and the potential that SLS offers for industrial environments has only been discussed rudimentarily in the literature. We argue, and will show in Section 4, that SLS could lead to many benefits in the context of Industry 4.0 production networks and smart logistics (Fragapane et al 2020;Ivanov et al 2020;Zheng et al 2020) as well as supply chain management using IoT systems (Ben-Daya, Hassini, and Bahroun 2019;Lee et al 2018).…”

Section: Industrial Environmentsmentioning

confidence: 96%

Smart lighting systems: state-of-the-art and potential applications in warehouse order picking

Füchtenhans

Grosse

Glock

2021

International Journal of Production Research

View full text Add to dashboard Cite

Artificial lighting is a constant companion in everyday private and working life, influencing visibility in interior spaces as well as outdoors. In recent years, new technical solutions have extended traditional lighting systems to become 'smart'. Different types of smart lighting systems are available on the market today, and researchers have concentrated on analysing their usability and efficiency, especially for private households, office buildings and public streets. This paper presents a systematic literature review to analyse the state-of-knowledge of technologies and applications for smart lighting systems. The results of the review show that smart lighting systems have been frequently discussed in the literature, but that their potentials in industrial environments, such as production and logistics, has rarely been addressed in the literature so far. Lighting systems for industrial environments often have very different requirements depending on the working environment and operating conditions. Based on the results of the literature review, this paper contributes to closing this research gap by discussing the usage potential of smart lighting systems to improve the efficiency of warehouse order picking, which is an application that may benefit from various functions smart lighting systems provide. Several propositions are developed that emphasise research opportunities and managerial implications in this context.

show abstract

Section: Industrial Environmentsmentioning

confidence: 96%

Smart lighting systems: state-of-the-art and potential applications in warehouse order picking

Füchtenhans

Grosse

Glock

2021

International Journal of Production Research

View full text Add to dashboard Cite

show abstract

“…Digitalization is increasingly regarded as one of the most prominent drivers of innovation (Nambisan et al, 2019). Manufacturing firms have been at the forefront of the adoption of advanced wireless sensors that provide information about the environment, context, and location of their industrial assets (Leminen et al, 2020;Ng and Wakenshaw, 2017;Zheng et al, 2020). These technologies allowed digital components and electronics to be embedded in various "things" and enabled them to be smarter and progressively more interlinkedoften called the Industrial Internet of things (IIoT) (Porter and Heppelmann, 2014;Sestino et al, 2020;Suppatvech et al, 2019).…”

Section: Digital Servitization and Industrial Digital Platformsmentioning

confidence: 99%

Co-evolution of platform architecture, platform services, and platform governance: Expanding the platform value of industrial digital platforms

2022

View full text Add to dashboard Cite

Industrial manufacturers increasingly develop digital platforms in the business-to-business (B2B) context. This emergent form of digital platforms requires a profound yet little understood holistic perspective that encompasses the co-evolution of platform architecture, platform services, and platform governance. To address this research gap, our study examines multiple platform sponsors from an industrial manufacturing context. The study demarcates three platform archetypes: product platform, supply chain platform, and platform ecosystem. We argue that each platform archetype involves a gradual development of platform architecture, platform services, and platform governance, which mirror each other. We also find that each platform archetype is characterized by a specific innovation mechanism that contributes to the platform service discovery and expands the platform value. Our study extends the co-evolution perspective of platform ecosystem literature and digital servitization literature.

show abstract

“…in automotive and pharmaceutical industries, future conception have to be able to cover the monitoring of process stability in full. Using controlling logic and assessing a higher amount of data may lead to this target (Zheng et al, 2020). Hence, it is estimated that today's operative production controlling may be a predecessor or the entrance into Controlling 4.0 as this paper aims to show based on a sample architecture with the CAS usage.…”

Section: Methodsmentioning

confidence: 99%

Operative Production Controlling as Entrance into Controlling 4.0

Pfeifer¹

2021

TRENDS

View full text Add to dashboard Cite

Purpose of the article: The paper focuses on the potentials and benefits controlling provides for companies in the transition period towards industry 4.0. Operative production controlling provides data that shall be used in the future to apply the concept of smart factories. This article proposes a controlling archtitecture based on computer-aided standardization. Methodology/methods: The paper develops an architecture on operational production controlling based on an international literature review. Literature on controlling 4.0 are found mostly in publications in German language. While this literature has its focus on controlling as a whole or on strategic controlling, the paper has a look on operational controlling and its further usage and development towards smart factories. Scientific aim: The aim of this article is to develop a model of an operational production controlling architecture that is able to suite the requirements of smart factories by using computer-aided standarization. Findings: Research is working on concepts for industry 4.0 and its way towards real implementation. Competitive advantage in industry 4.0 is created through digitization and robotization. An architecture that fully complies to industry 4.0 is still waiting in real companies due to technical limitation in data storing, retrieval and processing as well as storage capacities. Conclusions: The paper discussed the devlopment of a controlling architecture suitable for industry 4.0. Already today controlling is making use of data. Smart factories shall make use of production data. Production controlling together with the CAS, that is able to provide standardized data on all manufacturing, maintenance, and auxiliary processes, systems are able to make a step forward towards smart factories. The concept of production controlling combined with the strengths of a CAS may be seen as the basis from which to target smart factories and industry 4.0.

show abstract

The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review

Cited by 424 publications

References 214 publications

Smart lighting systems: state-of-the-art and potential applications in warehouse order picking

Smart lighting systems: state-of-the-art and potential applications in warehouse order picking

Co-evolution of platform architecture, platform services, and platform governance: Expanding the platform value of industrial digital platforms

Operative Production Controlling as Entrance into Controlling 4.0

Contact Info

Product

Resources

About