Abstract
Logistic chain modelling is very important in improving the overall performance of the total logistic chain.
Logistic models provide support for a large range of applications, such as analysing bottlenecks, improving customer
service, configuring new logistic chains and adapting existing chains to new products and markets. Modelling the
logistic chain is the main topic dealt with in this article. Recent developments in market demands, technology and
structuring and redesign of logistic processes are also described. It is concluded that Operations Research models
and techniques are well suited to analyse the local performance of logistic sub-chains and processes. But, in order to
fully support the analysis of the performance of an integrated logistic chain the traditional Operations Research
approach, in which the OR model is the starting point of the analysis and in which the data structure is derived from
the model, is insufficient. In integrated logistic chain modelling the choice of suitable OR models should be
determined by the information structure required and by the information technology available. To improve the
performance of the total logistic chain an experimental environment is needed, including a set of OR models and
having the capability to easily and quickly build these logistic models. We call this environment a logistic laboratory.
To illustrate this concept two logistic laboratories, developed in cooperation with the authors, are described.
Keywords: Modelling; Logistic chain integration; Logistic laboratory; Business process re-engineering
AbstractLogistic chain modelling is very important in improving the overall performance of the total logistic chain.Logistic models provide support for a large range of applications, such as analysing bottlenecks, improving customerservice, configuring new logistic chains and adapting existing chains to new products and markets. Modelling thelogistic chain is the main topic dealt with in this article. Recent developments in market demands, technology andstructuring and redesign of logistic processes are also described. It is concluded that Operations Research modelsand techniques are well suited to analyse the local performance of logistic sub-chains and processes. But, in order tofully support the analysis of the performance of an integrated logistic chain the traditional Operations Researchapproach, in which the OR model is the starting point of the analysis and in which the data structure is derived fromthe model, is insufficient. In integrated logistic chain modelling the choice of suitable OR models should bedetermined by the information structure required and by the information technology available. To improve theperformance of the total logistic chain an experimental environment is needed, including a set of OR models andhaving the capability to easily and quickly build these logistic models. We call this environment a logistic laboratory.To illustrate this concept two logistic laboratories, developed in cooperation with the authors, are described.Keywords: Modelling; Logistic chain integration; Logistic laboratory; Business process re-engineering
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