• français
    • English
    français
  • Login
Help
View Item 
  •   Home
  • Laboratoire de Conception Fabrication Commande (LCFC)
  • View Item
  • Home
  • Laboratoire de Conception Fabrication Commande (LCFC)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

A bi-objective robust inspection planning model in a multi-stage serial production system

Article dans une revue avec comité de lecture
Author
MOHAMMADI, Mehrdad
30860 Centre Microélectronique de Provence - Site Georges Charpak (CMP-GC) [CMP-ENSMSE]
TAVAKKOLI-MOGHADDAM, Reza
301046 University of Tehran
ccSIADAT, Ali
107452 Laboratoire de Conception Fabrication Commande [LCFC]
ccDANTAN, Jean-Yves

URI
http://hdl.handle.net/10985/17423
DOI
10.1080/00207543.2017.1363425
Date
2017
Journal
International Journal of Production Research

Abstract

In this paper, a bi-objective mixed-integer linear programming (BOMILP) model for planning of an inspection process used to detect nonconforming products and malfunctioning processors in a multi-stage serial production system is presented. The model involves two inter-related decisions: 1) which quality characteristics need what kind of inspections (i.e., which-what decision) and 2) when the inspection of these characteristics should be performed (i.e., when decision). These decisions require a trade-off between the cost of manufacturing (i.e., production, inspection and scrap costs) and the customer satisfaction. Due to inevitable variations in the manufacturing systems, a global robust BOMILP (RBOMILP) is developed to tackle the inherent uncertainty of the concerned parameters (i.e., production and inspection times, errors type I and II, misadjustment and dispersion of the process). In order to optimally solve the presented RBOMILP model, a meta-heuristic algorithm, namely differential evolution (DE) algorithm, is combined with the Taguchi and Monte Carlo methods. The proposed model and solution algorithm are validated through a real industrial case from a leading automotive industry in France.

Files in this item

Name:
LCFC_IJPR_2017_DANTAN.pdf
Size:
1.992Mb
Format:
PDF
View/Open

Collections

  • Laboratoire de Conception Fabrication Commande (LCFC)

Related items

Showing items related by title, author, creator and subject.

  • Design of a reliable logistics network with hub disruption under uncertainty 
    Article dans une revue avec comité de lecture
    MOHAMMADI, Mehrdad; TAVAKKOLI-MOGHADDAM, Reza; ccSIADAT, Ali; ccDANTAN, Jean-Yves (Elsevier, 2016)
    In this study, we design a reliable logistics network based on a hub location problem, which is less sensitive to disruption and it performs efficiently when disruption occurs. A new mixed-integer programming model is ...
  • Mathematical modelling of a robust inspection process plan: Taguchi and Monte Carlo methods 
    Article dans une revue avec comité de lecture
    MOHAMMADI, Mehrdad; TAVAKKOLI-MOGHADDAM, Reza; ccSIADAT, Ali; ccDANTAN, Jean-Yves (Taylor & Francis, 2015)
    This study develops a new optimisation framework for process inspection planning of a manufacturing system with multiple quality characteristics, in which the proposed framework is based on a mixed-integer mathematical ...
  • A review on optimisation of part quality inspection planning in a multi-stage manufacturing system 
    Article dans une revue avec comité de lecture
    REZAEI-MALEK, Mohammad; MOHAMMADI, Mehrdad; TAVAKKOLI-MOGHADDAM, Reza; ccSIADAT, Ali; ccDANTAN, Jean-Yves (Taylor & Francis, 2018)
    In multi-stage manufacturing systems, optimisation of part quality inspection planning (PQIP) problem means to determine the optimal time, place and extent of inspection activities for assessing the significant quality ...
  • Modular cost model for Tolerance allocation, Process selection and Inspection planning 
    Article dans une revue avec comité de lecture
    ccDANTAN, Jean-Yves; ccETIENNE, Alain; MOHAMMADI, Mehrdad; KHEZRI, Amirhossein; ccHOMRI, Lazhar; TAVAKKOLI-MOGHADDAM, Reza; ccSIADAT, Ali (Elsevier, 2022)
    The need for highly reliable and precise products has forced industries to study potential uncertainties during designing needed parts. The reliability and acceptance of the product rely on several factors and tolerancing ...
  • Cost engineering for variation management during the product and process development 
    Article dans une revue avec comité de lecture
    MIRDAMADI, Shirin; MOHAMMADI, Mehrdad; BABAEIZADEH MALMIRY, Roozbeh; ANTOINE, Jean-François; TAVAKKOLI, Reza; MARTIN, Patrick; ccSIADAT, Ali; ccDANTAN, Jean-Yves; ccETIENNE, Alain (Springer Verlag, 2016)
    Variation Management during the Product & Process Development can profoundly impact the quality, the cost of the product and the number of scraps in mass production... Designers want tight tolerances to ensure product ...

Browse

All SAMCommunities & CollectionsAuthorsIssue DateCenter / InstitutionThis CollectionAuthorsIssue DateCenter / Institution

Newsletter

Latest newsletterPrevious newsletters

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales