Networked, Smart, and Responsive Devices in Sustainable Internet-of-Things-based Manufacturing Systems: Industrial Value Creation, Cognitive Decision-Making Algorithms, and Operational Performance Improvement.

Author:Ainsworth-Rowen, Emily
 
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  1. Introduction

    Industry 4.0 assists devices in the factory to eventually be self-governing, thus designing, programming, and manufacturing products robotically, without an operator. (Bag et al., 2018) The production systems with Internet of Things is linked with web-based ones, bringing about more adequate working settings in a more auspicious manner, and requiring essential criteria to be decisive in the advancement of groundbreaking enhancements and strategies. (Oztemel and Gursev, 2018)

  2. Conceptual Framework and Literature Review

    Groundbreaking technologies enable companies to improve their manufacturing operations. (Dachs et al., 2019) Industry 4.0 cognizes the activities as an integrated system (Hayes and Jandric, 2017; Meila, 2018a, b; Shang et al., 2018; Stroe, 2018) constituting a difficult task that has to be accomplished and confronted so as to attain proficiency and continuity in the market. (Saucedo-Martinez et al., 2018) On computation architecture level, the cloud computing approaches bolster the centralized information repository, while providing the platform for teamwork to accelerate and elaborate resource distribution and exploration for consolidated industry benefits. (Li et al., 2019) Smart Human Resources 4.0 serves as a drive in the restructuring of the talent assimilation, reinforcement, and off-boarding practice through the agency of emerging technologies and alteration in the employee configuration. (Sivathanu and Pillai, 2018)

  3. Methodology and Empirical Analysis

    I inspected, used, and replicated survey data from BDO, CIO, DAA, Deloitte, EY, IoT Analytics GmbH, PwC, and WEF, performing analyses and making estimates regarding the level of supply chain process automation (%), benefits expected from organizations' investments in digital technologies cumulatively over the next five years (%), and how prepared organizations are for data protection laws (%). Structural equation modeling was used to analyze the data and test the proposed conceptual model.

  4. Results and Discussion

    Industry 4.0 focuses on harmonizing machines and operators via network connections and data administration, by employing Internet of Things, cooperative robots, information analysis, cloud computing, immersive technologies, etc. (Roldan et al., 2019) IT security, trustworthiness, and steadiness required for high-priority machine--to--machine interaction; an exigency to preserve the robustness of production operations, prevent IT difficulties, and protect industrial data; and the paucity in satisfactory expertise, widespread unwillingness to change by team members, and decrease of numerous...

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