• xmlui.mirage2.page-structure.header.title
    • français
    • English
  • Help
  • Login
  • Language 
    • Français
    • English
View Item 
  •   BIRD Home
  • DRM (UMR CNRS 7088)
  • DRM : Publications
  • View Item
  •   BIRD Home
  • DRM (UMR CNRS 7088)
  • DRM : Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

BIRDResearch centres & CollectionsBy Issue DateAuthorsTitlesTypeThis CollectionBy Issue DateAuthorsTitlesType

My Account

LoginRegister

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors
Thumbnail - Request a copy

Line feeding optimization for Just in Time assembly lines: An application to the automotive industry

Sali, Mustapha; Sahin, Evren (2016), Line feeding optimization for Just in Time assembly lines: An application to the automotive industry, International Journal of Production Economics, 174, p. 54–67. 10.1016/j.ijpe.2016.01.009

Type
Article accepté pour publication ou publié
Date
2016-04
Journal name
International Journal of Production Economics
Volume
174
Publisher
Elsevier
Pages
54–67
Publication identifier
10.1016/j.ijpe.2016.01.009
Metadata
Show full item record
Author(s)
Sali, Mustapha
Dauphine Recherches en Management [DRM]
Sahin, Evren
Laboratoire Génie Industriel - EA 2606 [LGI]
Abstract (EN)
The performance of mixed-model assembly lines used in sectors such as the automotive industry depends on the availability of a large number of components that have to be supplied to the line on time and at minimum cost. In such settings, components may have different features such as volume, weight, bill of material coefficient, etc. Additionally, a given component may have several alternative variants among which a single one is used in the assembly of end products. Each variant is thus characterized by a varying degree of usage rate. Hence, the diversity of parts requires the selection of the best assembly line feeding mode that aims at minimizing the average total operating cost which mainly consists of labor costs associated with parts preparation before assembly, transportation to the line, picking operations during assembly, as well as parts storage cost. This paper proposes an optimization model that assigns each individual component to the most efficient line feeding mode among three alternatives which are line stocking, kitting and sequencing modes. The developed mixed integer program is applied to a first tier supplier plant in the automotive sector. Based on this model, insight is gained on the trade-off to be considered when deciding the more appropriate line feeding mode for each individual component and how system parameters impact this trade-off.
Subjects / Keywords
In-plant logistics; Line feeding; Material handling; Kitting; Sequencing; Line stocking
JEL
L23 - Organization of Production
L62 - Automobiles; Other Transportation Equipment; Related Parts and Equipment
M11 - Production Management

Related items

Showing items related by title and author.

  • Thumbnail
    The impact of product family aggregation on Sales and Operations Planning in a mass customisation context : An application in the automotive industry 
    Ghrab, Yahya (2021-03-23) Thèse
  • Thumbnail
    An empirical assessment of the performances of three line feeding modes used in the automotive sector: line stocking vs. kitting vs. sequencing 
    Sali, Mustapha; Sahin, Evren; Patchong, Alain (2015-03) Article accepté pour publication ou publié
  • Thumbnail
    Optimal stock-out risk for a component mounted on several assembly lines in case of emergency supplies 
    Sali, Mustapha; Giard, Vincent (2014) Communication / Conférence
  • Thumbnail
    Optimal stock-out risk when demand is driven by several mixed-model assembly lines in the presence of emergency supply 
    Sali, Mustapha; Giard, Vincent (2015-06) Article accepté pour publication ou publié
  • Thumbnail
    Prix des matières premières dans le domaine automobile : une analyse économétrique de la dynamique du prix des plastiques 
    Cremaschi, Damien (2012-11) Thèse
Dauphine PSL Bibliothèque logo
Place du Maréchal de Lattre de Tassigny 75775 Paris Cedex 16
Phone: 01 44 05 40 94
Contact
Dauphine PSL logoEQUIS logoCreative Commons logo