scholarly journals Innovation in the Agri‐Food sector: Exploiting opportunities for Industry 4.0

Author(s):  
Maria Jose Oltra‐Mestre ◽  
Vincent Hargaden ◽  
Paul Coughlan ◽  
Baldomero Segura‐García del Río
Keyword(s):  
2021 ◽  
pp. 252-258
Author(s):  
Carolina Rangel ◽  
Jose Otero ◽  
Frency Antequera ◽  
Yuliana Bonadiez ◽  
Mary Riquett ◽  
...  

Author(s):  
Andrés Boza ◽  
Faustino Alarcón ◽  
David Perez ◽  
Pedro Gómez-Gasquet

Industry 4.0 proposals have an important impact not only in companies but also in the complete supply chain. The effect in the supply chain is different depending on each Industry 4.0 proposal and each supply chain configuration. This chapter deals with Industry 4.0 from the supply chain perspective. Four levels of scope on the supply chain and a classification scheme based on three blocks (technologies, features and extensions) have been defined. Finally, the case study in the food sector gives a real vision of some previously introduced concepts about Industry 4.0 from the supply chain perspective.


Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2990 ◽  
Author(s):  
Prince Waqas Khan ◽  
Yung-Cheol Byun ◽  
Namje Park

Agriculture and livestock play a vital role in social and economic stability. Food safety and transparency in the food supply chain are a significant concern for many people. Internet of Things (IoT) and blockchain are gaining attention due to their success in versatile applications. They generate a large amount of data that can be optimized and used efficiently by advanced deep learning (ADL) techniques. The importance of such innovations from the viewpoint of supply chain management is significant in different processes such as for broadened visibility, provenance, digitalization, disintermediation, and smart contracts. This article takes the secure IoT–blockchain data of Industry 4.0 in the food sector as a research object. Using ADL techniques, we propose a hybrid model based on recurrent neural networks (RNN). Therefore, we used long short-term memory (LSTM) and gated recurrent units (GRU) as a prediction model and genetic algorithm (GA) optimization jointly to optimize the parameters of the hybrid model. We select the optimal training parameters by GA and finally cascade LSTM with GRU. We evaluated the performance of the proposed system for a different number of users. This paper aims to help supply chain practitioners to take advantage of the state-of-the-art technologies; it will also help the industry to make policies according to the predictions of ADL.


Author(s):  
Andrés Boza ◽  
Faustino Alarcón ◽  
David Perez ◽  
Pedro Gómez-Gasquet

Industry 4.0 proposals have an important impact not only in companies but also in the complete supply chain. The effect in the supply chain is different depending on each Industry 4.0 proposal and each supply chain configuration. This chapter deals with Industry 4.0 from the supply chain perspective. Four levels of scope on the supply chain and a classification scheme based on three blocks (technologies, features and extensions) have been defined. Finally, the case study in the food sector gives a real vision of some previously introduced concepts about Industry 4.0 from the supply chain perspective.


2017 ◽  
Vol 13 ◽  
pp. 1199-1205 ◽  
Author(s):  
A. Luque ◽  
M. Estela Peralta ◽  
A. de las Heras ◽  
A. Córdoba
Keyword(s):  

Processes ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 381 ◽  
Author(s):  
Piotr F. Borowski

The paper analyzes issues related to production processes in learning organizations using innovative solutions based on the Industry 4.0 paradigm. This study was realized by surveys and observation of companies operating in the energy and food sectors. These are sectors that in recent years have started to intensively implement innovative solutions and are undergoing a transformation towards an intelligent (digital) enterprise, which uses virtual reality, supported by effectively controlling the non-player characters (NPCs). The presented examples can be inspiration for chief executive officer (CEOs), chief operating officers (COOs), and chief information officers (CIOs), the people managing companies for investment in innovative solutions. The implementation of Industry 4.0 solutions, as well as new machines design according state-of-the-art achievements of mechanical engineering rules, will allow companies to implement new products, achieve better results (e.g., more products with lower production cost), increase operational efficiency (e.g., lower energy and water consumption), and meet environmental requirements (e.g., reduce CO2 emission, introduce zero-emission energy production).


2017 ◽  
Vol 47 (187) ◽  
pp. 213-228
Author(s):  
Gaus Jobst ◽  
Knop Christopher ◽  
Wandjo David

Through the ongoing debate different positions support the hypothesis that Industry 4.0 evokes decentralization in everyday works. In this article we argue that the technological premises of Industry 4.0 lead to the contrary: centralized planning ensuing from optimized adaptation to the imperatives of the market. We exemplify this pattern, that we named ‘determinated procedure’, through exemplary cases from different industrial branches. Furthermore, we argue that (indeed) existing decentral moments neither amount to structural decentralization nor to humanizing and empowering concessions to employees, but rather primarily serve to their integration into the enterprise and mobilization of their production intelligence.


2018 ◽  
Vol 9 (3) ◽  
pp. 1-19 ◽  
Author(s):  
Silva Leandro Monteiro ◽  
◽  
Viagi Arcione Ferreira ◽  
Giacaglia Giorgio Eugenio Oscare ◽  
◽  
...  
Keyword(s):  

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