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Simulation of the IKEA Distribution Centre in Peterborough, UK

Jovalli, William and Nalepski, Gregor (2003)
Packaging Logistics
Abstract
Problem IKEA want to avoid building a DC with insufficient capacity, and with

imbalances in the material flow, therefore they want to run simulations of the

system to see if the material flow is of satisfaction. The focus of this report is

aimed towards capacity simulations of the Silo, the automated high storage

area.

Purpose Run different scenarios of the Silo with different conditions in order to

evaluate where bottleneck can upraise and aim for optimal solutions with

retained efficiency in the material flow.

Method The report is built on both quantitative and qualitative studies. Information

gathering has been done from interviews and CAD-drawings in combination

with secondary sources. Information from secondary sources was... (More)
Problem IKEA want to avoid building a DC with insufficient capacity, and with

imbalances in the material flow, therefore they want to run simulations of the

system to see if the material flow is of satisfaction. The focus of this report is

aimed towards capacity simulations of the Silo, the automated high storage

area.

Purpose Run different scenarios of the Silo with different conditions in order to

evaluate where bottleneck can upraise and aim for optimal solutions with

retained efficiency in the material flow.

Method The report is built on both quantitative and qualitative studies. Information

gathering has been done from interviews and CAD-drawings in combination

with secondary sources. Information from secondary sources was gathered

from literature as books, brochures and articles in addition to the Internet.

Objective Run capacity simulations of the Silo and look for bottlenecks in the material

flow.

Conclusion The analysis made of the number of cranes states that four cranes are

insufficient and five to seven cranes manage the demanded throughput. We

believe the best solution is to use six cranes. Five cranes manage the flow but

taken maintenance and breakdowns into consideration six cranes are to prefer.

Seven cranes do not increase the throughput according to the analysis and

therefore we find seven cranes unnecessary. Hence six cranes are the best

solution.

The analysing of the storage mode and the number of zones in the Silo shows

differences in the throughput. Though for both cases there cannot be any

statistically secured results, using the confidence level of 95%. When

considering the variation of the number of zones we consider the zoning could

be done in a different way. Because of the fact that there are not SRM's in

every aisle the cranes have to change aisles. Using the zoning from the front

to the back the cranes have to move a long distance when changing aisle for

the fast-moving articles in the front of the Silo. Instead we believe the zoning

should be done from the left to the right (or the way around) and the cranes in

the fast-moving zones should have a crane in every aisle. The other zones

could share the other cranes. (Less)
Please use this url to cite or link to this publication:
author
Jovalli, William and Nalepski, Gregor
supervisor
organization
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Capacity simulations, bottlenecks, efficiency, AutoMod, effectiveness., Technological sciences, Teknik
language
English
id
1318792
date added to LUP
2008-06-03 00:00:00
date last changed
2010-02-01 14:40:04
@misc{1318792,
  abstract     = {Problem IKEA want to avoid building a DC with insufficient capacity, and with

imbalances in the material flow, therefore they want to run simulations of the

system to see if the material flow is of satisfaction. The focus of this report is

aimed towards capacity simulations of the Silo, the automated high storage

area.

Purpose Run different scenarios of the Silo with different conditions in order to

evaluate where bottleneck can upraise and aim for optimal solutions with

retained efficiency in the material flow.

Method The report is built on both quantitative and qualitative studies. Information

gathering has been done from interviews and CAD-drawings in combination

with secondary sources. Information from secondary sources was gathered

from literature as books, brochures and articles in addition to the Internet.

Objective Run capacity simulations of the Silo and look for bottlenecks in the material

flow.

Conclusion The analysis made of the number of cranes states that four cranes are

insufficient and five to seven cranes manage the demanded throughput. We

believe the best solution is to use six cranes. Five cranes manage the flow but

taken maintenance and breakdowns into consideration six cranes are to prefer.

Seven cranes do not increase the throughput according to the analysis and

therefore we find seven cranes unnecessary. Hence six cranes are the best

solution.

The analysing of the storage mode and the number of zones in the Silo shows

differences in the throughput. Though for both cases there cannot be any

statistically secured results, using the confidence level of 95%. When

considering the variation of the number of zones we consider the zoning could

be done in a different way. Because of the fact that there are not SRM's in

every aisle the cranes have to change aisles. Using the zoning from the front

to the back the cranes have to move a long distance when changing aisle for

the fast-moving articles in the front of the Silo. Instead we believe the zoning

should be done from the left to the right (or the way around) and the cranes in

the fast-moving zones should have a crane in every aisle. The other zones

could share the other cranes.},
  author       = {Jovalli, William and Nalepski, Gregor},
  keyword      = {Capacity simulations,bottlenecks,efficiency,AutoMod,effectiveness.,Technological sciences,Teknik},
  language     = {eng},
  note         = {Student Paper},
  title        = {Simulation of the IKEA Distribution Centre in Peterborough, UK},
  year         = {2003},
}