Towards predictive analytics in internal logistics – An approach for the data-driven determination of key performance indicators

Author:

Wuennenberg Max,Muehlbauer Konstantin,Fottner Johannes,Meissner Sebastian

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering

Reference39 articles.

1. Autonomous Systems in Intralogistics – State of the Art and Future Research Challenges;Fottner;BVL – Bundesvereinigung Logistik,2021

2. A Research and Industry Perspective on Automotive Logistics Performance Measurement;Dörnhöfer;IJLM,2017

3. Value Stream Mapping: A Study about the Problems and Challenges Found in the Literature from the past 15 Years about Application of Lean tools;Forno;The International Journal of Advanced Manufacturing Technology,2014

4. Value Stream Mapping 4.0: Holistic Examination of Value Stream and Information Logistics in Production;Meudt;CIRP Annals,2017

5. Muehlbauer, K., Wuennenberg, M., Meissner, S., Fottner, J., 2022. Data Driven Logistics-oriented Value Stream Mapping 4.0: A Guideline for Practitioners. In: Proceedings of the 18th IFAC Workshop on Control Applications of Optimization, Gif-sur-Yvette, Frankreich. 18.07.2022–22.07.2022.

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1. From Data to Decisions: Enhancing Crowdfunding Strategies AI-Driven and Business Intelligence Techniques;2024 Intelligent Methods, Systems, and Applications (IMSA);2024-07-13

2. A Classification of Data Structures for Process Analysis in Internal Logistics;Innovative Intelligent Industrial Production and Logistics;2023

3. Machine Learning Decision Support for Production Planning and Control Based on Simulation-Generated Data;Communications in Computer and Information Science;2023

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