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Optimally loading tow trains for just-in-time supply of mixed-model assembly lines

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  • Simon Emde
  • Malte Fliedner
  • Nils Boysen

Abstract

In today's mixed-model assembly production, there are two recent trends—namely, increasing vertical integration and the proliferation of product variety—that shift focus to an efficient just-in-time part supply. In this context, many automobile manufacturers set up decentralized logistics areas referred to as supermarkets. Here, small tow trains are loaded with parts and travel across the shop floor on specific routes to make frequent small-lot deliveries that are needed by the stations of the line. This article investigates the loading problem of tow trains, which aims at minimizing inventory near the line while avoiding material shortages given the limited capacity of the tow trains. An exact polynomial-time solution procedure is presented and interdependencies with production planning, that is, the sequencing problem of product models launched down the line, are investigated in a comprehensive computational study.

Suggested Citation

  • Simon Emde & Malte Fliedner & Nils Boysen, 2012. "Optimally loading tow trains for just-in-time supply of mixed-model assembly lines," IISE Transactions, Taylor & Francis Journals, vol. 44(2), pages 121-135.
  • Handle: RePEc:taf:uiiexx:v:44:y:2012:i:2:p:121-135
    DOI: 10.1080/0740817X.2011.575442
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    Citations

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    Cited by:

    1. Stefan Bock, 2016. "Finding optimal tour schedules on transportation paths under extended time window constraints," Journal of Scheduling, Springer, vol. 19(5), pages 527-546, October.
    2. Sternatz, Johannes, 2015. "The joint line balancing and material supply problem," International Journal of Production Economics, Elsevier, vol. 159(C), pages 304-318.
    3. Diefenbach, Heiko & Emde, Simon & Glock, Christoph H., 2023. "Multi-depot electric vehicle scheduling in in-plant production logistics considering non-linear charging models," European Journal of Operational Research, Elsevier, vol. 306(2), pages 828-848.
    4. Masood Fathi & Victoria Rodríguez & Dalila B.M.M. Fontes & Maria Jesus Alvarez, 2016. "A modified particle swarm optimisation algorithm to solve the part feeding problem at assembly lines," International Journal of Production Research, Taylor & Francis Journals, vol. 54(3), pages 878-893, February.
    5. Diefenbach, Heiko & Emde, Simon & Glock, Christoph H., 2020. "Loading tow trains ergonomically for just-in-time part supply," European Journal of Operational Research, Elsevier, vol. 284(1), pages 325-344.
    6. Bock, Stefan, 2020. "Optimally solving a versatile Traveling Salesman Problem on tree networks with soft due dates and multiple congestion scenarios," European Journal of Operational Research, Elsevier, vol. 283(3), pages 863-882.
    7. Bock, Stefan, 2015. "Solving the traveling repairman problem on a line with general processing times and deadlines," European Journal of Operational Research, Elsevier, vol. 244(3), pages 690-703.
    8. Simon Emde & Lukas Polten, 2019. "Sequencing assembly lines to facilitate synchronized just-in-time part supply," Journal of Scheduling, Springer, vol. 22(6), pages 607-621, December.
    9. Simon Emde & Michael Schneider, 2018. "Just-In-Time Vehicle Routing for In-House Part Feeding to Assembly Lines," Transportation Science, INFORMS, vol. 52(3), pages 657-672, June.
    10. Erfan Ghorbani & Mahdi Alinaghian & Gevork. B. Gharehpetian & Sajad Mohammadi & Guido Perboli, 2020. "A Survey on Environmentally Friendly Vehicle Routing Problem and a Proposal of Its Classification," Sustainability, MDPI, vol. 12(21), pages 1-71, October.
    11. Emilio Moretti & Elena Tappia & Martina Mauri & Marco Melacini, 2022. "A performance model for mobile robot-based part feeding systems to supermarkets," Flexible Services and Manufacturing Journal, Springer, vol. 34(3), pages 580-613, September.

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