Smart product design and production control for effective mass customization in the Industry 4.0 concept

By P. Zawadzki, K. Żywicki. 2016

303 citations recorded by the source corpus.

Received: 5 June 2016 Abstract Accepted: 7 September 2016 The paper presents a general concept of smart design and production control as key elements for efficient operation of a smart factory. The authors present various techniques that aid the design process of individualized products and organization of their production in the context of realization of the mass customization strategy, which allows a shortened time of development for a new product. Particular attention was paid to integration of additive manufacturing technologies and virtual reality techniques, which are a base of the so-called hybrid prototyping.

Subfields: Automotive Engineering, Industrial and Manufacturing Engineering, Management of Technology and Innovation

View Paper: https://www.semanticscholar.org/paper/570482152368a61226706ed8e0b3a76e5c60cf5e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Xun Xu

In Industrial and Manufacturing Engineering

1. Ray Y. Zhong
2. Yongkui Liu
3. Pai Zheng
4. Xun Xu
5. Chao Liu
6. Fei Tao
7. Qinglin Qi
8. Lin Zhang

In Management of Technology and Innovation

1. Yong Yin
2. Kathryn E. Stecke
3. Dongni Li

Citations in the corpus

• Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives (2018, background): “Smart product design based on customized requirements that target individualized products has been proposed [10].”
• The evolution of production systems from Industry 2.0 through Industry 4.0 (2018, background): “A manufacturing system should be efficient, flexible, responsive, and able to find an appropriate management and control principle, hopefully quickly (Zawadzki and Żywicki 2016).”
• Industry 4.0 and Sustainability Implications: A Scenario-Based Analysis of the Impacts and Challenges (2018, background): “0 include big data, RFID, cloud computing [22] and additive manufacturing (3D printing) [23] and blockchain [24], without pretending to be exhaustive.”
• Evaluation of the Relation between Lean Manufacturing, Industry 4.0, and Sustainability (2019, background): “Increase collaboration with partners that follow good environmental practices Zawadzki and Żywicki, 2016 [78]; Hofmann and Rüsch, 2017 [66];”