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Evaluation of warehouse utilization using simulation techniques in a Control Tower environment

Calatayud Coquillat, Marcos LU (2023) MIOM05 20221
Production Management
Abstract
Alfa Laval believes Supply Chain Control towers have the potential to harvest the
power of digitalization in industrial manufacturing supply chains more efficiently than the alternative of applying those same digital technologies in a context without a control tower. One of the most common supply chain control tower applications is in the inventory management field. In this area, it is relevant to better understand the impact the replenishment plan has on inventory levels to detect risk situations related to a lack of warehouse capacity.
Simulation, one of the most used operations research methodologies, can be an excellent complement to a control tower.
Therefore, the main purpose of the thesis is to build a simulation tool that can... (More)
Alfa Laval believes Supply Chain Control towers have the potential to harvest the
power of digitalization in industrial manufacturing supply chains more efficiently than the alternative of applying those same digital technologies in a context without a control tower. One of the most common supply chain control tower applications is in the inventory management field. In this area, it is relevant to better understand the impact the replenishment plan has on inventory levels to detect risk situations related to a lack of warehouse capacity.
Simulation, one of the most used operations research methodologies, can be an excellent complement to a control tower.
Therefore, the main purpose of the thesis is to build a simulation tool that can estimate a warehouse’s future behaviour in order to detect risky situations related to when the warehouse reaches its capacity limit. Reaching the limit capacity is not only related to a lack of space in the storage locations but also to a lack of resources to operate the warehouse properly at a given time. In addition, a second objective is to design a control tower environment where this simulation tool could fit.
Even though the built model has several limitations, the results are promising. Integrating the simulation model can lead to more efficient supply chain management by improved planning, sourcing, and order follow-up. (Less)
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author
Calatayud Coquillat, Marcos LU
supervisor
organization
course
MIOM05 20221
year
type
H2 - Master's Degree (Two Years)
subject
report number
23/5700
language
English
id
9109136
date added to LUP
2023-01-30 11:34:18
date last changed
2023-01-30 11:34:18
@misc{9109136,
  abstract     = {{Alfa Laval believes Supply Chain Control towers have the potential to harvest the
power of digitalization in industrial manufacturing supply chains more efficiently than the alternative of applying those same digital technologies in a context without a control tower. One of the most common supply chain control tower applications is in the inventory management field. In this area, it is relevant to better understand the impact the replenishment plan has on inventory levels to detect risk situations related to a lack of warehouse capacity.
Simulation, one of the most used operations research methodologies, can be an excellent complement to a control tower.
Therefore, the main purpose of the thesis is to build a simulation tool that can estimate a warehouse’s future behaviour in order to detect risky situations related to when the warehouse reaches its capacity limit. Reaching the limit capacity is not only related to a lack of space in the storage locations but also to a lack of resources to operate the warehouse properly at a given time. In addition, a second objective is to design a control tower environment where this simulation tool could fit.
Even though the built model has several limitations, the results are promising. Integrating the simulation model can lead to more efficient supply chain management by improved planning, sourcing, and order follow-up.}},
  author       = {{Calatayud Coquillat, Marcos}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Evaluation of warehouse utilization using simulation techniques in a Control Tower environment}},
  year         = {{2023}},
}