“I know Ivan because of his expertise in Continuous Improvement and Lean Management. He is keen to identify any room for improvement and implement innovative solutions. His expertise in streamlining processes and eliminating waste is second to none. As a LinkedIn content creator, Ivan is sharing actionable tips to support community members in their CI journey. His daily posts on Lean, CI and Innovation demonstrate his dedication to fostering growth. His leadership and knowledge make him an invaluable asset to any team.”
Informazioni
Hi! 👋 Ivan here.
I'm an industrial engineer with 5+ years of experience in Operations Management.
I'm currently working as an outbound manager at AMXL First Mile Operations, Amazon. In December 2022, I accepted a stretch role as a CI facilitator to promote a culture of Continuous Improvement within AMXL.
As a lean practitioner and innovation enthusiast, I thrive on navigating the dynamic landscape of E2E Supply Chain Management.
My journey in operations has been marked by a relentless pursuit of operational excellence, and a passion for cultivating a workplace culture that values continuous improvement.
Innovation isn't just a buzzword for me – it's a way of thinking. I'm used to driving innovation by embracing Industry 4.0 technologies and encouraging creative problem-solving to stay ahead of industry challenges.
I started writing on LinkedIn in October 2023. Since then, I have been posting around:
- Continuous Improvement
- Lean Manufacturing
- Growth Mindset
- Innovation
Including insight on:
- 5S
- VSM
- Kaizen
- Leadership
- Industry 4.0
- Data Analysis
- Lean Six Sigma
- Problem Solving
- Process Improvement
I share actionable, educational, and entertaining content to support LinkedIn community members in their CI journey.
I'd love to connect if you share a passion for operational excellence, Lean methodologies, and the thrill of driving innovation.
Best,
Ivan
Attività
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Kaizen, often associated with manufacturing, is a powerful philosophy that can be applied to any aspect of life. From streamlining your morning…
Kaizen, often associated with manufacturing, is a powerful philosophy that can be applied to any aspect of life. From streamlining your morning…
Consigliato da Ivan Carillo
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Don’t assume you know how someone feels based on how they look. You can have anxiety BUT Still sound confident. You can have depression…
Don’t assume you know how someone feels based on how they look. You can have anxiety BUT Still sound confident. You can have depression…
Consigliato da Ivan Carillo
Esperienza
Formazione
Licenze e certificazioni
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International English Language Testing System (IELTS) Academic
Cambridge Assessment English
Emissione:
Esperienze di volontariato
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Mentee at SDU Mentor Program
Faculty of Engineering, University of Southern Denmark
- 9 mesi
Formazione
Corsi
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Advanced Materials and Manufacturing Technologies
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Advanced Quality Management
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Automation I
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Automation II
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Automation III
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Basics of Informatics
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Calculus I
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Calculus II
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Construction Science
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Construction of Machines
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Electrotechnics
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Energy Economics
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Fluid Dynamics
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From Innovation to Operations - Management and Organizational Processes
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Fundamentos de Sistemas e Tecnoloxías de Fabricación
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Geometry and Algebra
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Industrial Technical Drawing
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Information Systems and Support Technologies
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Ingeniería de Materiales
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Knowledge Management
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Machines
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Manufacturing Systems and Philosophies
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Mathematical Physics
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Mechanical Plants
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Mechanical Technology
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Mechanics Applied to Machines
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Modularization and Platform Design
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Operations Analysis
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Operations Management Methods
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Physics I
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Physics II
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Química
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Seminar in Operations Management
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Supply Chain Simulation
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Sustainability
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Technical Physics
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Progetti
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Final project at Kverneland Group Kerteminde
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The current technological advances, along with an ever-increasing application of new information technologies, are driving the manufacturing industry towards smart manufacturing. This new paradigm seeks to integrate operational technologies, information and communication technologies and advanced manufacturing methods to drive the creation of new manufacturing systems with greater performance capabilities. The manufacturing industry will be characterized by decentralized, distributed, networked…
The current technological advances, along with an ever-increasing application of new information technologies, are driving the manufacturing industry towards smart manufacturing. This new paradigm seeks to integrate operational technologies, information and communication technologies and advanced manufacturing methods to drive the creation of new manufacturing systems with greater performance capabilities. The manufacturing industry will be characterized by decentralized, distributed, networked composition of autonomous systems.
The idea of autonomous systems, which are able to respond quickly to unexpected events and make
the best choices in the shortest time, is becoming a reality. Autonomous systems need however to have realistic integrated models, i.e. digital twins, which are intended to reflect the current state of manufacturing processes, the system behaviour in interaction with its external environment, the human employees’ properties, etc.
The concept of digital twin is now at the forefront of Industry 4.0 zeitgeist. However, the term “Digital Twin” is non-harmonized and often misleading. The dissertation aimed at analysing the current literature with a view to shaping a clear definition of digital twin, identifying its role within Industry 4.0 and investigating which are the potential benefits of a successful digital twin-based strategy in manufacturing.
The following research questions guided the study:
RQ1: How can Digital Twin be defined within Industry 4.0?
RQ2: What is the Digital Twin role within Industry 4.0?
RQ3: What benefits can a successful Digital Twin strategy bring?
Furthermore, this paper put the concept of digital twin in a practical context by presenting a single-case study of Kverneland Group Kerteminde A/S – Grass Division located in Kerteminde, Denmark.
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Using tracking systems to improve service quality in Healthcare
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Carelessness and disorganization in healthcare environments may be high-priced, both in human and in economic terms. Millions upon millions of euros are spent on stolen or lost equipment and compensations for medication errors every year. Although the risk of thefts can only be reduced and medication errors are almost inevitable, equipment and patient safety can be enhanced by means of apposite IT systems. The implementation of patient and equipment tracking systems is the next breakthrough in…
Carelessness and disorganization in healthcare environments may be high-priced, both in human and in economic terms. Millions upon millions of euros are spent on stolen or lost equipment and compensations for medication errors every year. Although the risk of thefts can only be reduced and medication errors are almost inevitable, equipment and patient safety can be enhanced by means of apposite IT systems. The implementation of patient and equipment tracking systems is the next breakthrough in the field of Healthcare requiring the involvement of all healthcare providers and users.
The following activities have been carried out:
✓ Did a literature review of tracking technologies (RFID, Wi-Fi, Bluetooth, etc.)
✓ Conducted an exploratory single-case study at Odense University Hospital
✓ Visited few OUH departments
✓ Collected qualitative data interacting with practitioners
✓ Proposed solutions to improve patient flow and safety
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Developing an automation system for the electrical components industry
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A small company specialized in selling electrical components has experienced too many errors in a manual process. Therefore, the board has decided to automate it.
The following tasks were carried out:
✓ Created a specification of the system
✓ Created an overall design of the system, i.e. in-flow & outflow of materials, extensibility and adaptability
✓ Made a presentation for the board company with the overall design and estimations (e.g. CAPEX, OPEX)
✓ Made a risk…A small company specialized in selling electrical components has experienced too many errors in a manual process. Therefore, the board has decided to automate it.
The following tasks were carried out:
✓ Created a specification of the system
✓ Created an overall design of the system, i.e. in-flow & outflow of materials, extensibility and adaptability
✓ Made a presentation for the board company with the overall design and estimations (e.g. CAPEX, OPEX)
✓ Made a risk assessment
✓ Interfaced to the MES system
✓ Programmed and equipped the robot
✓ Made technical documentation (SOP, maintenance processes, FAT, etc.)
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The big-data revolution in Healthcare
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Big data surrounds us, but we are not aware of it. Social Networks, online shopping companies and other kinds of big companies are already facing the problem of managing huge amounts of data. Healthcare has larger data than others and every year new applications which generate data exponentially are dramatically arising. These big data concerning patient services were stored in hard copy form, but the new trend is leading to the digitization of them. The explosive increase in the rate of data…
Big data surrounds us, but we are not aware of it. Social Networks, online shopping companies and other kinds of big companies are already facing the problem of managing huge amounts of data. Healthcare has larger data than others and every year new applications which generate data exponentially are dramatically arising. These big data concerning patient services were stored in hard copy form, but the new trend is leading to the digitization of them. The explosive increase in the rate of data did not allow healthcare providers (such as doctors, physiotherapists, public hospitals, etc.) to manage complex data by hardware and/or traditional software methods.
The following tasks were carried out:
✓ Did a literature review about Big Data
✓ Conducted an exploratory single-case study at Odense University Hospital
✓ Interviewed managers and practitioners
✓ Investigated patient-reported outcome (PRO) applications and the app ‘Mit Forløb’
✓ Collected qualitative data
✓ Reported the findings
Lingue
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Italian
Conoscenza madrelingua o bilingue
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English
Conoscenza professionale
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Spanish
Conoscenza professionale
Referenze ricevute
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