DesignLab
  • Departamento de Engenharia Mecatrônica
    Escola Politécnica - Universidade de São Paulo

Revisiting Requirement Engineering for Intelligent Manufacturing

Javier M. Silva, Pedro M.G. del Foyo, Arianna Z.S. Olivera, Jose Reinaldo Silva

Journal 
International Journal on Interactive Design and Manufacturing (IJIDeM) 
Autor 
Javier M. Silva, Pedro M.G. del Foyo, Arianna Z.S. Olivera, Jose Reinaldo Silva 
Book Title 
 
Volume 
16 
Página(s) 
 
DOI 
10.1007/s12008-022-00968-0 
Published 
2022 
Month 
June 
Tipo de Documento 
Working paper 
Abstract 
The upcoming challenge for innovation in intelligent manufacturing design introduced a demand for agility and flexibility, adapting production plants and processes to emerging needs and new services. Arrangements of service-oriented cyber-physical components should replace computer-integrated plants, matching anthropocentric production lines. Manufacturing should follow a process-oriented requirements cycle, linking different design phases based on traceability, associating problem, solution, and collaboration with external and human agents. The first problem is how to provide a requirement cycle that fits this demand, using a systemic and process-oriented (formal) method. This article proposes a model-based requirements cycle for intelligent manufacturing systems (IMfgS). The proposal covers a functional, object-oriented approach and introduces a goal-oriented method suitable for service design. Process orientation leads to Petri Nets' schema, already used in plant design manufacturing. The Petri Net formal approach synthesizes requirements and describes solutions, opening a possibility to trace problems and solutions. A case study from the chemical industry illustrates that. A requirements life-cycle formalized in Petri Nets includes transference algorithms from either UML or KAOS diagrams. The approach can be adapted to service-oriented manufacturing, but that is not developed formally in this work. The requirements cycle has been adjusted to available tools, making the proposal practical. Intelligent manufacturing is getting more attention, either because of demands for sustainable manufacturing processes or the digitalization process and industry 4.0. New design processes demand more flexibility and capacity to reuse and modify functions while also modifying the product/services they produce. New approaches recover methods typically used in Software Engineering. However, such processes also bring complexity and the need for intensive, interactive testing, even during the requirements phase. 
Keywords 
 
Publisher 
Springer 
URL