A simulation tool to evaluate factory level schedules.

J. Duggan; R. Bowden; J. Browne

A simulation tool to evaluate factory level schedules.

J. Duggan
, R. Bowden
, J. Browne

Computer Science

Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review

Abstract

Due to the complex and variable nature of modern batch manufacturing, there is a need for knowledge based simulation tools to aid engineers in the task of planning production. To be of use to the engineer, these tools need to be easy to use and provide the capability of using manufacturing data through a structured database. The simulation tool described in this paper is based on an AI approach to simulation and it is data driven from a relational database. It can be used to support the planning functions of an electronics plant to provide information on the impact of scheduled work loads as well as testing the effects of new products on a manufacturing environment. (A)

Original language	English
Journal	[No source information available]
Publication status	Published - 1989

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Cite this

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title = "A simulation tool to evaluate factory level schedules.",

abstract = "Due to the complex and variable nature of modern batch manufacturing, there is a need for knowledge based simulation tools to aid engineers in the task of planning production. To be of use to the engineer, these tools need to be easy to use and provide the capability of using manufacturing data through a structured database. The simulation tool described in this paper is based on an AI approach to simulation and it is data driven from a relational database. It can be used to support the planning functions of an electronics plant to provide information on the impact of scheduled work loads as well as testing the effects of new products on a manufacturing environment. (A)",

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AU - Duggan, J.

AU - Bowden, R.

AU - Browne, J.

PY - 1989

Y1 - 1989

N2 - Due to the complex and variable nature of modern batch manufacturing, there is a need for knowledge based simulation tools to aid engineers in the task of planning production. To be of use to the engineer, these tools need to be easy to use and provide the capability of using manufacturing data through a structured database. The simulation tool described in this paper is based on an AI approach to simulation and it is data driven from a relational database. It can be used to support the planning functions of an electronics plant to provide information on the impact of scheduled work loads as well as testing the effects of new products on a manufacturing environment. (A)

AB - Due to the complex and variable nature of modern batch manufacturing, there is a need for knowledge based simulation tools to aid engineers in the task of planning production. To be of use to the engineer, these tools need to be easy to use and provide the capability of using manufacturing data through a structured database. The simulation tool described in this paper is based on an AI approach to simulation and it is data driven from a relational database. It can be used to support the planning functions of an electronics plant to provide information on the impact of scheduled work loads as well as testing the effects of new products on a manufacturing environment. (A)

UR - https://www.scopus.com/pages/publications/85040955931

M3 - Article

JO - [No source information available]

JF - [No source information available]

ER -

A simulation tool to evaluate factory level schedules.

Abstract

UN SDGs

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