Feasibility in the implementation of 4.0 technologies in the intralogistic activities of Logistic Operators of the Department of Atlántico, a look towards the organizational efficiency

Abstract

The intralogistic activities of the logistics operators are defined in the grouping of all the processes linked to the reception, storage and distribution of raw materials and final products. Therefore, the study of intralogistic processes as an activity is part of the value chain of a company and, through its management, the result of the operation and an adequate level of customer service will depend on it. The project proposes to evaluate the feasibility of the use of technologies of the industry 4.0 in the intralogistic activities that allow the integration of processes of automation and control for the continuous improvement of the decision making in the processes of storage, load and unload of the logistic operators of the department of the Atlantic -Colombia for the improvement of the enterprise efficiency.Therefore, a review of the literature is carried out framed in three categories: intralogistics, Industry and Technology 4.0, and the application of an instrument to measure the absorption of technologies 4.0 in the company under study, which was validated as a result the importance of Simulation, Automation and load sensing, Collaborative Robotics, Big Data powered by M2M (Machine to Machine communication) and Predictive maintenance -predictive analysis and M2M communication as a solution to the needs that are represented in the environment of the Logistics Operators of the Department of Atlántico -Colombia, based on the challenges and projections imposed by the dynamics of the international market and especially the free trade agreements that the New Granada nation has signed and framed in recent years with the intention of making its economy and especially the organizations of its different regions more efficient.

Autonomous and IoT‐driven intralogistics for Industry 4.0 warehouses: A thematic analysis of the literature

“…Analyzing contextually relevant information enables gaining insights for the workers to drive optimizing warehouse operations in a way that may not be possible with conventional data‐gathering methods (Mörth et al, 2020). Further, through such distilled information, workers can tailor intervention actions that are situation specific, therefore, enhancing the dynamic decision‐making capabilities of the employees and improving their speed, accuracy, and accountability (Martínez & Noriega, 2020; Mörth et al, 2020).…”

“…and improving their speed, accuracy, and accountability (Martínez & Noriega, 2020;Mörth et al, 2020).…”

“…12 For instance, Turtlebot, a type of AMR, can optimize daily warehouse activities allowing for reduced energy consumption, thus low carbon emission and saving time without the need for human supervision (Dong et al, 2021;Karamanos et al, 2019). Similarly, smart inventory management systems supported with IoT sensors, forklifts, and other fuel-powered vehicles can be used more efficiently inside the facility, thereby positively impacting warehouse operations in three aspects, that is, accuracy in inventory management, reduced time to carry out complex tasks and optimization of resources (Martínez & Noriega, 2020). Similarly, the induction of autonomous machines such as battery-powered AGVs is more sustainable than existing approaches to transporting materials within the facility (Fragapane et al, 2022).…”

Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review

“…The visual computing and simulation technologies implementation for Operator 4.0 was investigated in work [ 153 ]. The role of Operator 4.0 in the context of logistics and transportation systems was analyzed in [ 154 ] and continued in work [ 155 ], where intralogistics activities in relation to the Operator 4.0 concept are discussed via case studies. Another example may be the hybrid-augmented intelligence system developed in [ 156 ], where the intelligent digital assistant interacts with experts and operators during predictive maintenance performance.…”

Assessing the moderating role of organizational culture in the relationship between organizational leadership and organizational efficiency in the banking sector

“…Studies have focused on employee turnover (Shaikh et al. , 2020), technologies (Martínez and Noriega, 2020), collaborations (Park et al. , 2019), manpower development (Mustapha, 2019), social capital and creativity (Sözbilir, 2018) as determinants of organizational efficiency.…”