Department of Economics and Business Economics

Simon Emde

Optimally locating in-house logistics areas to facilitate JIT-supply of mixed-model assembly lines

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Optimally locating in-house logistics areas to facilitate JIT-supply of mixed-model assembly lines. / Emde, Simon; Boysen, Nils.

In: International Journal of Production Economics, Vol. 135, No. 1, 01.01.2012, p. 393-402.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Emde, S & Boysen, N 2012, 'Optimally locating in-house logistics areas to facilitate JIT-supply of mixed-model assembly lines', International Journal of Production Economics, vol. 135, no. 1, pp. 393-402. https://doi.org/10.1016/j.ijpe.2011.07.022

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Author

Emde, Simon ; Boysen, Nils. / Optimally locating in-house logistics areas to facilitate JIT-supply of mixed-model assembly lines. In: International Journal of Production Economics. 2012 ; Vol. 135, No. 1. pp. 393-402.

Bibtex

@article{280a62375ab140269170d57d532160b3,
title = "Optimally locating in-house logistics areas to facilitate JIT-supply of mixed-model assembly lines",
abstract = "In modern-day production systems, ever-rising product variety poses a great challenge for the internal logistics systems used to feed mixed-model assembly lines with the required parts. As an answer to this challenge many manufacturers especially from automobile industries have identified the supermarket-concept as a promising part feeding strategy to enable flexible small-lot deliveries at low cost. In this context, supermarkets are decentralized in-house logistics areas in the direct vicinity of the final assembly line, which serve as intermediary stores for parts. Small tow trains are loaded with material in a supermarket and deliver parts Just-in-Time to the stations lying on their fixed route. This paper discusses the general pros and cons of the supermarket-concept and treats the decision problem of determining the optimal number and placement of supermarkets on the shop floor. A mathematical model is proposed, an exact dynamic programming algorithm presented, and the validity of the proposed approach for practical purposes as well as the trade-off resulting from fixed installation and maintenance cost is investigated in a comprehensive computational study.",
keywords = "Just-in-Time, Material supply, Mixed-model assembly lines, Tow trains",
author = "Simon Emde and Nils Boysen",
year = "2012",
month = jan,
day = "1",
doi = "10.1016/j.ijpe.2011.07.022",
language = "English",
volume = "135",
pages = "393--402",
journal = "International Journal of Production Economics",
issn = "0925-5273",
publisher = "Elsevier BV",
number = "1",

}

RIS

TY - JOUR

T1 - Optimally locating in-house logistics areas to facilitate JIT-supply of mixed-model assembly lines

AU - Emde, Simon

AU - Boysen, Nils

PY - 2012/1/1

Y1 - 2012/1/1

N2 - In modern-day production systems, ever-rising product variety poses a great challenge for the internal logistics systems used to feed mixed-model assembly lines with the required parts. As an answer to this challenge many manufacturers especially from automobile industries have identified the supermarket-concept as a promising part feeding strategy to enable flexible small-lot deliveries at low cost. In this context, supermarkets are decentralized in-house logistics areas in the direct vicinity of the final assembly line, which serve as intermediary stores for parts. Small tow trains are loaded with material in a supermarket and deliver parts Just-in-Time to the stations lying on their fixed route. This paper discusses the general pros and cons of the supermarket-concept and treats the decision problem of determining the optimal number and placement of supermarkets on the shop floor. A mathematical model is proposed, an exact dynamic programming algorithm presented, and the validity of the proposed approach for practical purposes as well as the trade-off resulting from fixed installation and maintenance cost is investigated in a comprehensive computational study.

AB - In modern-day production systems, ever-rising product variety poses a great challenge for the internal logistics systems used to feed mixed-model assembly lines with the required parts. As an answer to this challenge many manufacturers especially from automobile industries have identified the supermarket-concept as a promising part feeding strategy to enable flexible small-lot deliveries at low cost. In this context, supermarkets are decentralized in-house logistics areas in the direct vicinity of the final assembly line, which serve as intermediary stores for parts. Small tow trains are loaded with material in a supermarket and deliver parts Just-in-Time to the stations lying on their fixed route. This paper discusses the general pros and cons of the supermarket-concept and treats the decision problem of determining the optimal number and placement of supermarkets on the shop floor. A mathematical model is proposed, an exact dynamic programming algorithm presented, and the validity of the proposed approach for practical purposes as well as the trade-off resulting from fixed installation and maintenance cost is investigated in a comprehensive computational study.

KW - Just-in-Time

KW - Material supply

KW - Mixed-model assembly lines

KW - Tow trains

UR - http://www.scopus.com/inward/record.url?scp=80055039560&partnerID=8YFLogxK

U2 - 10.1016/j.ijpe.2011.07.022

DO - 10.1016/j.ijpe.2011.07.022

M3 - Journal article

AN - SCOPUS:80055039560

VL - 135

SP - 393

EP - 402

JO - International Journal of Production Economics

JF - International Journal of Production Economics

SN - 0925-5273

IS - 1

ER -