Erik Flores-García

Assistant Professor

Kungliga Tekniska Högskolan

Sweden

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Erik Flores-García is an Assistant Professor at Kungliga Tekniska Högskolan in Sweden. His research focuses on digital services in data-driven production logistics, including topics such as AI-enabled vision systems, energy efficiency in manufacturing, and machine learning applications. He has contributed significantly to the understanding of decision-making in process innovations and the optimization of facility layout design in industrial contexts.

Articles (10)

Year:

2025

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2025

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2025

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2025

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2024

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2023

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2021

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2021

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2021

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2020

Collaborators (6)

Yongkuk Jeong

Assistant Professor

KTH Royal Institute of Technology

SWEDEN

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Lars Hanson

University of Skövde

SWEDEN

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Magnus Wiktorsson

Professor, Head of Department

KTH Royal Institute of Technology

SWEDEN

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Lihui Wang

KTH Royal Institute of Technology

SWEDEN

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Enrique Ruiz Zúñiga

KTH Royal Institute of Technology

SWEDEN

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Xi Vincent Wang

KTH Royal Institute of Technology

SWEDEN

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Erik Flores-García

Research Interests

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About

Articles (10)

Achieving energy efficiency in industrial manufacturing

A framework and system architecture for value-oriented digital services in data-driven production logistics

Dynamic multi-tour order picking in an automotive-part warehouse based on attention-aware deep reinforcement learning

AI-enabled vision systems for human-centered order picking – A design science research approach

Machine learning in smart production logistics: a review of technological capabilities

Enabling industrial internet of things-based digital servitization in smart production logistics

Decision-making approaches in process innovations: an explorative case study

A reinforcement learning model for material handling task assignment and route planning in dynamic production logistics environment

Holistic simulation-based optimisation methodology for facility layout design with consideration to production and logistics constraints

What guides information consensus? Approaching the reduction of equivocality in process innovations

Collaborators (6)

Yongkuk Jeong

Lars Hanson

Magnus Wiktorsson

Lihui Wang

Enrique Ruiz Zúñiga

Xi Vincent Wang

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