Published September 15, 2022 | Version Journal
Journal article Open

A conceptual framework for smart production planning and control in Industry 4.0

  • 1. DBE-UPC
  • 2. CIGIP-UPV

Description

This article aims to introduce the challenge (i.e., integration of new collaborative models and tools) posed by the
automation and collaboration of industrial processes in Industry 4.0 (I4.0) smart factories. Small- and mediumsized enterprises (SMEs) are particularly confronted with new technological and organisational changes, but a
conceptual framework for production planning and control (PPC) systems in the I4.0 context is lacking. The main
contributions of this article are to: (i) identify the functions making up traditional PPC and smart production
planning and control in I4.0 (SPPC 4.0); (ii) analyse the impact of I4.0 technologies on PPC systems; (iii) propose
a conceptual framework that provides the systematic structuring of how a PPC system operates in the I4.0
context, dubbed SPPC 4.0. Thus SPPC 4.0 is proposed by adopting the axes of the RAMI 4.0 reference architecture
model, which compiles and contains the main concepts of PPC systems and I4.0. It also provides the technical
description, organisation and understanding of each aspect, which can provide a guide for academic research and
industrial practitioners to transform PPC systems towards I4.0 implementations. Finally, theoretical implications
and research gaps are provided.
 

Notes

The research leading to these results received funding from the "Industrial Production and Logistics Optimization in Industry 4.0" (i4OPT) (Ref. PROMETEO/2021/065) project granted by the Valencian Regional Government; and the PAI-12-21 open-access support from the Universitat Politécnica de València.

Files

1-s2.0-S0360835222006477-main.pdf

Files (2.8 MB)

Name Size Download all
md5:52e80a727b492e8374e6203b2e6c1894
2.8 MB Preview Download

Additional details

Funding

European Commission
ZDMP - Zero Defect Manufacturing Platform 825631
European Commission
i4Q - Industrial Data Services for Quality Control in Smart Manufacturing 958205