article

ManPy: an open-source software tool for building discrete event simulation models of manufacturing systems

Authors:

Georgios Dagkakis,

Ioannis Papagiannopoulos,

Cathal HeaveyAuthors Info & Claims

Software—Practice & Experience, Volume 46, Issue 7

Pages 955 - 981

https://doi.org/10.1002/spe.2347

Published: 01 July 2016 Publication History

Abstract

In this paper, we present a new open-source OS software library for building discrete event simulation objects with focus on manufacturing environments. ManPy stands for 'Manufacturing in Python' but employs a generic approach that can be extended to other types of business processes such as services, logistics and supply chain management. It is written in Python and makes use of the SimPy library to implement a process interaction world view. The goal in developing ManPy is to provide an expandable OS layer of well-defined manufacturing objects, which can be used by users with multiple levels of expertise in discrete event simulation, namely, a super user and an industrial engineer. This object repository follows a structured architecture, allowing developers to extend it, exchange ideas and methodologies, with the goal of forming an OS community. We explain how ManPy is developed on SimPy, present its architecture and give examples of its utilization. We also give insight of how this work is planned to progress in order to attract software developers, modellers and practitioners in an OS community. Copyright © 2015 John Wiley & Sons, Ltd.

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Cited By

Rossetti M(2023)Introducing the Kotlin Simulation Library (KSL)Proceedings of the Winter Simulation Conference10.5555/3643142.3643418(3311-3322)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.5555/3643142.3643418
Dagkakis GRotondo AHeavey C(2019)Embedding optimization with deterministic discrete event simulation for assignment of cross-trained operatorsComputers and Operations Research10.1016/j.cor.2019.06.008111:C(99-115)Online publication date: 1-Nov-2019
https://dl.acm.org/doi/10.1016/j.cor.2019.06.008
Ghasemi AHeavey CLaipple GJohansson BJain S(2018)A review of simulation-optimization methods with applications to semiconductor operational problemsProceedings of the 2018 Winter Simulation Conference10.5555/3320516.3320954(3672-3683)Online publication date: 9-Dec-2018
https://dl.acm.org/doi/10.5555/3320516.3320954

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cover image Software

Software Volume 46, Issue 7

July 2016

140 pages

ISSN:0038-0644

EISSN:1097-024X

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John Wiley & Sons, Inc.

United States

Publication History

Published: 01 July 2016

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Cited By

Rossetti M(2023)Introducing the Kotlin Simulation Library (KSL)Proceedings of the Winter Simulation Conference10.5555/3643142.3643418(3311-3322)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.5555/3643142.3643418
Dagkakis GRotondo AHeavey C(2019)Embedding optimization with deterministic discrete event simulation for assignment of cross-trained operatorsComputers and Operations Research10.1016/j.cor.2019.06.008111:C(99-115)Online publication date: 1-Nov-2019
https://dl.acm.org/doi/10.1016/j.cor.2019.06.008
Ghasemi AHeavey CLaipple GJohansson BJain S(2018)A review of simulation-optimization methods with applications to semiconductor operational problemsProceedings of the 2018 Winter Simulation Conference10.5555/3320516.3320954(3672-3683)Online publication date: 9-Dec-2018
https://dl.acm.org/doi/10.5555/3320516.3320954

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