Industry 4.0 implications in logistics: an overview

Barreto, Luís; Amaral, António; Pereira, Teresa

doi:10.1016/j.promfg.2017.09.045

Cited by 564 publications

(383 citation statements)

References 5 publications

Supporting

Mentioning

334

Contrasting

Unclassified

Order By: Relevance

“…However, Industry 4.0 is very technology-driven, which is also reflected in Table 1, where all the papers that consider human factors also deal with its interaction with automation, with the exception of one paper [31], which focused more on the humans in an organizational context. Five of the papers also connect human factors and technology to an organizational context [32][33][34][35][36].…”

Section: Related Researchmentioning

confidence: 99%

“…None of the papers is actually stating that companies have actually achieved any level of Industry 4.0 implementation when it comes to information and knowledge sharing among people working in SMEs. Two papers propose software architecture [28,29], three papers explore future opportunities [30][31][32], two papers have developed prototype tools that could be implemented [33,35], and two papers review current state in relation to Industry 4.0 [34,36]. While Zhong et al [34] reviews intelligent manufacturing in general, independent of SMEs or large companies, Neirotti et al [36] focus on ICT-based capabilities with a quantitative research approach.…”

Section: Related Researchmentioning

confidence: 99%

“…Zhong et al 2017 [32] Technology and Organization Reviews intelligent manufacturing in general. Gasparetto et al…”

Section: Industry 40 Maturity Indexmentioning

confidence: 99%

See 2 more Smart Citations

Current and future Industry 4.0 capabilities for information and knowledge sharing

Fast-Berglund

Paulin

2019

Int J Adv Manuf Technol

View full text Add to dashboard Cite

Humans are indispensable in the manufacturing industry as its complexity increases in an Industry 4.0 context, mainly due to changing customer demands. Managing the challenges of increased complexity can create a competitive advantage for SMEs. Technologies which enable the emerging phenomenon of Industry 4.0 have the possibility to simplify the sharing of information and knowledge among people at work, especially for Operator 4.0. However, few SMEs have actually implemented such technologies for this purpose. Therefore, this paper aims to create an understanding of the current state and challenges which need to be overcome, and further, to provide some insights on future possibilities by identifying the stages of Industry 4.0 development of SMEs with regards to their capabilities. This qualitative interview study focuses on how human-centered production processes are currently supporting assembly and office work. Two Swedish SMEs were studied, where almost all of their operators and management team on site were interviewed individually concerning their views on their current capabilities. The interviews were thematically analyzed with regards to the state-of-the-art research, and results show that the case companies are in some aspects digitized with regards to computerization and connectivity, but have some challenges in making the shared production-related information more visible and transparent, especially on shop-floors where most information and knowledge are shared through word of mouth or with pen and paper. Conclusively, the studied SMEs have started their digitalization journey, but further Industry 4.0 development needs to align with their respective conditions and needs. While Industry 4.0 enabling technologies that support information and knowledge sharing are emerging, organizational development can support the implementation of such technologies, which should be the focus for future research.

show abstract

Section: Related Researchmentioning

confidence: 99%

Section: Related Researchmentioning

confidence: 99%

See 1 more Smart Citation

Current and future Industry 4.0 capabilities for information and knowledge sharing

Fast-Berglund

Paulin

2019

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…Combining the RFID technology with ubiquitous Internet access, real-time monitoring of location and condition of products during their transit will be made possible [34]. Accordingly, logistic tracking will be made easier and less prone to mistakes [35]. Data about products, destinations, drivers and warehouse requirements will be analysed and processed along with data about traffic and weather conditions for optimal route planning [36].…”

Section: Supply Chain Managementmentioning

confidence: 99%

How Data Will Transform Industrial Processes: Crowdsensing, Crowdsourcing and Big Data as Pillars of Industry 4.0

Pilloni

2018

Future Internet

110

View full text Add to dashboard Cite

We are living in the era of the fourth industrial revolution, namely Industry 4.0. This paper presents the main aspects related to Industry 4.0, the technologies that will enable this revolution, and the main application domains that will be affected by it. The effects that the introduction of Internet of Things (IoT), Cyber-Physical Systems (CPS), crowdsensing, crowdsourcing, cloud computing and big data will have on industrial processes will be discussed. The main objectives will be represented by improvements in: production efficiency, quality and cost-effectiveness; workplace health and safety, as well as quality of working conditions; products' quality and availability, according to mass customisation requirements. The paper will further discuss the common denominator of these enhancements, i.e., data collection and analysis. As data and information will be crucial for Industry 4.0, crowdsensing and crowdsourcing will introduce new advantages and challenges, which will make most of the industrial processes easier with respect to traditional technologies.

show abstract

“…With higher priority on customer satisfaction, incremental attention has been drawn to the availability, reliability, flexibility and agility of the logistics system (Barreto, Amaral, & Pereira, 2017;Witkowski, 2017). Unpredictable natural catastrophes or unexpected man-made disasters, such as earthquakes, floods, labor strikes and bankruptcy engender serious threat to the capability of the logistics system on these aspects.…”

Section: Introductionmentioning

confidence: 99%

Resilient supplier selection in logistics 4.0 with heterogeneous information

Hasan

Jiang

Ullah

et al. 2020

Expert Systems with Applications

View full text Add to dashboard Cite

Supplier selection problem has gained extensive attention in the prior studies. However, research based on Fuzzy Multi-Attribute Decision Making (F-MADM) approach in ranking resilient suppliers in logistic 4.0 is still in its infancy. Traditional MADM approach fails to address the resilient supplier selection problem in logistic 4.0 primarily because of the large amount of data concerning some attributes that are quantitative, yet difficult to process while making decisions. Besides, some qualitative attributes prevalent in logistic 4.0 entail imprecise perceptual or judgmental decision relevant information, and are substantially different than those considered in traditional suppler selection problems. This study develops a Decision Support System (DSS) that will help the decision maker to incorporate and process such imprecise heterogeneous data in a unified framework to rank a set of resilient suppliers in the logistic 4.0 environment.The proposed framework induces a triangular fuzzy number from large-scale temporal data using probability-possibility consistency principle. Large number of non-temporal data presented graphically are computed by extracting granular information that are imprecise in nature. Fuzzy linguistic variables are used to map the qualitative attributes. Finally, fuzzy based TOPSIS method is adopted to generate the ranking score of alternative suppliers. These ranking scores are used as input in a Multi-Choice Goal Programming (MCGP) model to determine optimal order allocation for respective suppliers. Finally, a sensitivity analysis assesses how the Supplier's Cost versus Resilience Index (SCRI) changes when differential priorities are set for respective cost and resilience attributes.

show abstract

Industry 4.0 implications in logistics: an overview

Cited by 564 publications

References 5 publications

Current and future Industry 4.0 capabilities for information and knowledge sharing

Current and future Industry 4.0 capabilities for information and knowledge sharing

How Data Will Transform Industrial Processes: Crowdsensing, Crowdsourcing and Big Data as Pillars of Industry 4.0

Resilient supplier selection in logistics 4.0 with heterogeneous information

Contact Info

Product

Resources

About