TY - JOUR

T1 - Model-based logistic controlling of converging material flows

AU - Nyhuis, Peter

AU - Beck, Sebastian

AU - Schmidt, Matthias

PY - 2013/1/1

Y1 - 2013/1/1

N2 - Order elements are often not punctually or synchronically provided in supply chain processes involving the convergence of different material flows (e.g.; assemblies). This paper focuses on the development of a model for reviewing the timeliness and simultaneousness of these converging material flows. The model is validated by simulation studies as well as several practice based case studies. The application of this mathematical model allows the influence of critical supply processes on the logistic performance of the supply chain to be identified and quantified. Hence, measures to improve the logistic performance can be derived and their anticipated impact can be visualized.

AB - Order elements are often not punctually or synchronically provided in supply chain processes involving the convergence of different material flows (e.g.; assemblies). This paper focuses on the development of a model for reviewing the timeliness and simultaneousness of these converging material flows. The model is validated by simulation studies as well as several practice based case studies. The application of this mathematical model allows the influence of critical supply processes on the logistic performance of the supply chain to be identified and quantified. Hence, measures to improve the logistic performance can be derived and their anticipated impact can be visualized.

KW - Controlling

KW - Logistics

KW - Modeling

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=84878848898&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/c4faff76-40ab-39cf-9a5a-6e6efbe08185/

U2 - 10.1016/j.cirp.2013.03.041

DO - 10.1016/j.cirp.2013.03.041

M3 - Journal articles

AN - SCOPUS:84878848898

VL - 62

SP - 431

EP - 434

JO - CIRP Annals - Manufacturing Technology

JF - CIRP Annals - Manufacturing Technology

SN - 0007-8506

IS - 1

ER -