LDNST (Logistical Distribution Network Simulation
Tool) has been modeled and developed to assist of
studying the alternative stocking locations , distribution
strategies, and the daily routing schedule in a food supply
chain . The model represents the distribution network of a
German food producer. The company produces thousands
of product types and serving a lot of distribution centers
in Germany and Europe. This paper describes the specific
logic details of the developed simulation tool along with
its effectiveness in comparing distribution strategies for
locating inventory and minimizing total logistic costs
within the supply chain levels.
One of the main objectives of this paper was to present
the design and development steps of a real life supply
chain simulation model of a German food supply chain
firm, which will used in assisting the logistics supply
chain managers in evaluating the distribution supply chain
performance measures. Therefore, some theoretical and
practical operational modeling logics have been
considered in the developing the Logistical Distribution
Network Simulation Tool (LDNST) according to a
conceptual supply chain framework was developed before
utilizing the SCOR level 1 and 2 and The use case map
(UCM) notation method. In this paper detailed operational
elements proposed in SCOR 6.1 model levels 3 and 4
more see in [1,2].
[1]
Ronald H. Ballou,et al.
Business Logistics/Supply Chain Management -5/E
,
2004
.
[2]
Paul van Beek,et al.
Modelling and simulating multi-echelon food systems
,
2000,
Eur. J. Oper. Res..
[3]
David F. Pyke,et al.
Inventory management and production planning and scheduling
,
1998
.
[4]
Ricardo Ernst,et al.
MULTI-ITEM CLASSIFICATION AND GENERIC INVENTORY STOCK CONTROL POLICIES
,
1988
.
[5]
A. Skraba,et al.
Warehouse Optimization in Uncertain Environment
,
2004
.
[6]
Averill M. Law,et al.
Simulation Modeling and Analysis
,
1982
.
[7]
Ronald F. Perry,et al.
Simulation: A Problem-Solving Approach
,
1989
.
[8]
Y. Narahari,et al.
Production, Manufacturing and Logistics Object oriented modeling and decision support for supply chains
,
2004
.
[9]
Paul H. Zipkin,et al.
Foundations of Inventory Management
,
2000
.
[10]
Elsayed A. Elsayed,et al.
Analysis and control of production systems
,
1993
.
[11]
D. Clay Whybark,et al.
Implementing multiple criteria ABC analysis
,
1989
.