On Discrete-Event Simulation and Integration in the Manufacturing System Development Process

Lars Randell

On Discrete-Event Simulation and Integration in the Manufacturing System Development Process

Lars Randell

Institutionen för elektro- och informationsteknik

Forskningsoutput: Avhandling › Doktorsavhandling (monografi)

1065 Nedladdningar (Pure)

Sammanfattning

Popular Abstract in Swedish
Diskret händelsebaserad simulering av tillverkningssystem är sällan använd i utvecklingsprocessen av tillverkningssystem. Många gånger dras slutsatsen att analyser som involverar simulering i sig själv ger ökade kostnader. Detta synsätt är inte korrekt eftersom analyser måste göras ändå. I denna avhandling visas på metoder att utnyttja simuleringstekniken genom tillverkningssystemets livscykel för att öka användbarheten av simuleringsmodellen. Genom detta skapas möjligheter att på ett bättre sätt utveckla metoder att följa behovet i tillverkningen, som exempelvis upprampning, kapacitet, tillförlitlighet, etc. Avhandlingen tar speciellt upp metoder att underhålla och snabba upp generering av simuleringsmodeller.

Originalspråk	engelska
Kvalifikation	Doktor
Tilldelande institution	Institutionen för elektro- och informationsteknik
Handledare	[unknown], [unknown], handledare, Extern person
Tilldelningsdatum	2002 sep. 27
Förlag	Division of Robotics, Lund University, P.O.Box 118, 221 00 Lund, Sweden,
ISBN (tryckt)	91-628-5319-8
Status	Published - 2002

Bibliografisk information

Defence details

Date: 2002-09-27
Time: 10:15
Place: Room M:E, Technical Faculty (LTH).

External reviewer(s)

Name: Eriksson, Patric
Title: Dr
Affiliation: [unknown]

---

The information about affiliations in this record was updated in December 2015.
The record was previously connected to the following departments: Robotics (ceased) (LUR000026)

Ämnesklassifikation (UKÄ)

Robotteknik och automation

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title = "On Discrete-Event Simulation and Integration in the Manufacturing System Development Process",

abstract = "DES is seldom used in the manufacturing system development process, instead it is usually used to cure problems in existent systems. This has the effect that the simulation study alone is considered being the cost driver for the analysis of the manufacturing system. It is argued that this is not a entirely correct view since the analysis has to be performed anyway, and the cost directly related to the simulation study is mainly in the model realization phase. It is concluded that it is preferred if the simulation study life cycle coincides with the corresponding manufacturing system's life cycle to increase the usability of the simulation model and to increase efficiency in the simulation study process. A model is supplied to be used for management and engineering process improvements and for improvements of the organizational issues to support simulation activities. By institutionalizing and utilizing well defined processes the conceived complexity related to DES is considered to be reduced over time. Cost is highly correlated to the time consumed in a simulation study. The presented methodology tries to reduce time consumption and lead-time in the simulation study by: (i)~reducing redundant work, (ii)~reducing rework, and (iii)~moving labor intensive activities forward in time. To reduce the time to collect and analyze input data a framework is provided that aims at delivering high granularity input data without dependencies. The input data collection framework is designed to provide data for operation and analysis of the manufacturing system in several domains. To reduce the model realization time two approaches are presented. The first approach supplies a set of modules that enables parameterized models of automated subassembly systems. The second approach builds and runs the simulation model based on a copy of an MRP database, i.e. there is no manual intervention required to build the simulation model. The approach is designed to forecast the performance of an entire enterprise. Since the model is generated from a database, the approach is highly scalable. Furthermore, the maintenance of the simulation model is reduced considerably.",

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author = "Lars Randell",

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year = "2002",

language = "English",

isbn = "91-628-5319-8",

publisher = "Division of Robotics, Lund University, P.O.Box 118, 221 00 Lund, Sweden,",

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PY - 2002

Y1 - 2002

N2 - DES is seldom used in the manufacturing system development process, instead it is usually used to cure problems in existent systems. This has the effect that the simulation study alone is considered being the cost driver for the analysis of the manufacturing system. It is argued that this is not a entirely correct view since the analysis has to be performed anyway, and the cost directly related to the simulation study is mainly in the model realization phase. It is concluded that it is preferred if the simulation study life cycle coincides with the corresponding manufacturing system's life cycle to increase the usability of the simulation model and to increase efficiency in the simulation study process. A model is supplied to be used for management and engineering process improvements and for improvements of the organizational issues to support simulation activities. By institutionalizing and utilizing well defined processes the conceived complexity related to DES is considered to be reduced over time. Cost is highly correlated to the time consumed in a simulation study. The presented methodology tries to reduce time consumption and lead-time in the simulation study by: (i)~reducing redundant work, (ii)~reducing rework, and (iii)~moving labor intensive activities forward in time. To reduce the time to collect and analyze input data a framework is provided that aims at delivering high granularity input data without dependencies. The input data collection framework is designed to provide data for operation and analysis of the manufacturing system in several domains. To reduce the model realization time two approaches are presented. The first approach supplies a set of modules that enables parameterized models of automated subassembly systems. The second approach builds and runs the simulation model based on a copy of an MRP database, i.e. there is no manual intervention required to build the simulation model. The approach is designed to forecast the performance of an entire enterprise. Since the model is generated from a database, the approach is highly scalable. Furthermore, the maintenance of the simulation model is reduced considerably.

AB - DES is seldom used in the manufacturing system development process, instead it is usually used to cure problems in existent systems. This has the effect that the simulation study alone is considered being the cost driver for the analysis of the manufacturing system. It is argued that this is not a entirely correct view since the analysis has to be performed anyway, and the cost directly related to the simulation study is mainly in the model realization phase. It is concluded that it is preferred if the simulation study life cycle coincides with the corresponding manufacturing system's life cycle to increase the usability of the simulation model and to increase efficiency in the simulation study process. A model is supplied to be used for management and engineering process improvements and for improvements of the organizational issues to support simulation activities. By institutionalizing and utilizing well defined processes the conceived complexity related to DES is considered to be reduced over time. Cost is highly correlated to the time consumed in a simulation study. The presented methodology tries to reduce time consumption and lead-time in the simulation study by: (i)~reducing redundant work, (ii)~reducing rework, and (iii)~moving labor intensive activities forward in time. To reduce the time to collect and analyze input data a framework is provided that aims at delivering high granularity input data without dependencies. The input data collection framework is designed to provide data for operation and analysis of the manufacturing system in several domains. To reduce the model realization time two approaches are presented. The first approach supplies a set of modules that enables parameterized models of automated subassembly systems. The second approach builds and runs the simulation model based on a copy of an MRP database, i.e. there is no manual intervention required to build the simulation model. The approach is designed to forecast the performance of an entire enterprise. Since the model is generated from a database, the approach is highly scalable. Furthermore, the maintenance of the simulation model is reduced considerably.

KW - Automatiska system

KW - control engineering

KW - configuration management

KW - discrete-event simulation

KW - Production technology

KW - Produktionsteknik

KW - robotics

KW - Automation

KW - robotteknik

KW - reglerteknik

M3 - Doctoral Thesis (monograph)

SN - 91-628-5319-8

PB - Division of Robotics, Lund University, P.O.Box 118, 221 00 Lund, Sweden,

ER -

On Discrete-Event Simulation and Integration in the Manufacturing System Development Process

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