Monte Carlo-simulering av tillverkningskostnaden
(2013) MMTM01 20122Production and Materials Engineering
- Abstract
- DPM is a manufacturing company within the metal cutting industry. A number of years ago there emerged a desire to make statistical calculations for its production. Until today, the company has not done any post-calculations, which means that they have based their cost calculations and sales prices on precalculated costs. The absence of post-calculations leads to lack of cost-consciousness that is required to optimize the product portfolio and sales.
Monte Carlo simulation has become a common and useful tool to make statistical studies of processes. The method has been little used in the production economic area until now and this report’s meaning is to fill in the missing gaps and take it to a higher level. The purpose of the Monte Carlo... (More) - DPM is a manufacturing company within the metal cutting industry. A number of years ago there emerged a desire to make statistical calculations for its production. Until today, the company has not done any post-calculations, which means that they have based their cost calculations and sales prices on precalculated costs. The absence of post-calculations leads to lack of cost-consciousness that is required to optimize the product portfolio and sales.
Monte Carlo simulation has become a common and useful tool to make statistical studies of processes. The method has been little used in the production economic area until now and this report’s meaning is to fill in the missing gaps and take it to a higher level. The purpose of the Monte Carlo simulation is to obtain the distribution functions of the cost of production and thereby determine the probability to a certain cost or profit.
The study shows that Monte Carlo simulation works well to investigate the production economics in a manufacturing company. From the results of the report it can be concluded that some details generates profits while others aren’t. Moreover, it can be seen that great variances occurs in the production, which leads to a higher cost consciousness when recognized.
Monte Carlo simulation of the manufacturing cost can be very useful for companies to implement. The methodology requires a deeper knowledge of statistics. This, combined with the large amount of data collection can in many cases lead to absence of simulation. The conclusion is therefore that it would be best if manufacturers of information systems could adopt this method and implement it in their systems.
The work has received good response from DPM when it comes to follow-up on details in production. From having abstained completely from the post-calculations and go all the way to follow the statistical methodology of work, considering variations is a major and challenging step. If DPM can continue making postcalculations this will hopefully make the improvement that leads to a more optimized product portfolio with less products that contribute with losses. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/4053776
- author
- Jarl, Franz LU and Hilding, Niklas LU
- supervisor
- organization
- course
- MMTM01 20122
- year
- 2013
- type
- H2 - Master's Degree (Two Years)
- subject
- report number
- CODEN:LUTMDN/(TMMV-5257)/1-75/2013
- language
- Swedish
- id
- 4053776
- date added to LUP
- 2013-09-18 15:00:49
- date last changed
- 2013-09-18 15:00:49
@misc{4053776,
abstract = {{DPM is a manufacturing company within the metal cutting industry. A number of years ago there emerged a desire to make statistical calculations for its production. Until today, the company has not done any post-calculations, which means that they have based their cost calculations and sales prices on precalculated costs. The absence of post-calculations leads to lack of cost-consciousness that is required to optimize the product portfolio and sales.
Monte Carlo simulation has become a common and useful tool to make statistical studies of processes. The method has been little used in the production economic area until now and this report’s meaning is to fill in the missing gaps and take it to a higher level. The purpose of the Monte Carlo simulation is to obtain the distribution functions of the cost of production and thereby determine the probability to a certain cost or profit.
The study shows that Monte Carlo simulation works well to investigate the production economics in a manufacturing company. From the results of the report it can be concluded that some details generates profits while others aren’t. Moreover, it can be seen that great variances occurs in the production, which leads to a higher cost consciousness when recognized.
Monte Carlo simulation of the manufacturing cost can be very useful for companies to implement. The methodology requires a deeper knowledge of statistics. This, combined with the large amount of data collection can in many cases lead to absence of simulation. The conclusion is therefore that it would be best if manufacturers of information systems could adopt this method and implement it in their systems.
The work has received good response from DPM when it comes to follow-up on details in production. From having abstained completely from the post-calculations and go all the way to follow the statistical methodology of work, considering variations is a major and challenging step. If DPM can continue making postcalculations this will hopefully make the improvement that leads to a more optimized product portfolio with less products that contribute with losses.}},
author = {{Jarl, Franz and Hilding, Niklas}},
language = {{swe}},
note = {{Student Paper}},
title = {{Monte Carlo-simulering av tillverkningskostnaden}},
year = {{2013}},
}