TY  - JOUR
AB  - Increasing traffic congestion in many parts of the world threatens
to disrupt the reliable transport performance required for effective
implementation of just‐in‐time logistics. An analytical framework for
examining the effects of congestion on logistics performance is
presented and mitigating options are suggested. The increasing problem
of congestion is discussed and a general model is proposed with which
its effects on time‐sensitive logistics networks might be analysed.
Utilising this model and supporting data from a Chicago‐area transport
study, a numerical example calculating the “costs of
congestion” for one component is developed and presented. Finally,
some extensions of the base framework are proposed and discussed. These
include using joint probability theory to examine the effects of
multiple components and multiple suppliers and examining the expected
benefits of some mitigating actions such as pooled deliveries and
consolidation.
VL  - 21
IS  - 2
SN  - 0960-0035
DO  - 10.1108/09600039110005178
UR  - https://doi.org/10.1108/09600039110005178
AU  - Rao Kant
AU  - Grenoble William L.
PY  - 1991
Y1  - 1991/01/01
TI  - Modelling the Effects of Traffic Congestion on JIT
T2  - International Journal of Physical Distribution & Logistics Management
PB  - MCB UP Ltd
SP  - 3
EP  - 9
Y2  - 2024/04/23
ER  -