Heads Or Tails: A Framework To Model Supply Chain Heterogeneous Messages

The electronic exchange of business documents between a customer and their trading partner use Electronic Data Interchange (EDI) standards that incorporate various document types from purchase orders to shipping notices between engaging parties. Simulating the behaviour of EDI messages within a Supp...

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Autores principales:	Sonya Leech, Jonathan Dunne, David Malone
Formato:	article
Lenguaje:	EN
Publicado:	FRUCT 2021
Materias:	edi distribution heterogeneous Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/fcce7c1cc4b24940bb8a14e94173d26a
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id	oai:doaj.org-article:fcce7c1cc4b24940bb8a14e94173d26a
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spelling	oai:doaj.org-article:fcce7c1cc4b24940bb8a14e94173d26a2021-11-20T15:59:33ZHeads Or Tails: A Framework To Model Supply Chain Heterogeneous Messages2305-72542343-073710.23919/FRUCT53335.2021.9599993https://doaj.org/article/fcce7c1cc4b24940bb8a14e94173d26a2021-10-01T00:00:00Zhttps://www.fruct.org/publications/fruct30/files/Lee.pdfhttps://doaj.org/toc/2305-7254https://doaj.org/toc/2343-0737The electronic exchange of business documents between a customer and their trading partner use Electronic Data Interchange (EDI) standards that incorporate various document types from purchase orders to shipping notices between engaging parties. Simulating the behaviour of EDI messages within a Supply Chain networks queuing system has many purposes from understanding the efficiency and effectiveness of queue behaviour leading to process re-engineering and queue optimisation stratification. These different types of EDI transactions are heterogeneous in nature and challenging to model. This research investigates whether a parametric or non-parametric approach is appropriate to model message service times (ST). Our results show that parametric distribution models are suitable for modelling the distributions tail, whilst non-parametric Kernel Density Estimation (KDE) models are ideal for modelling the head.Sonya LeechJonathan DunneDavid MaloneFRUCTarticleedidistributionheterogeneousTelecommunicationTK5101-6720ENProceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 30, Iss 1, Pp 129-140 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	edi distribution heterogeneous Telecommunication TK5101-6720
spellingShingle	edi distribution heterogeneous Telecommunication TK5101-6720 Sonya Leech Jonathan Dunne David Malone Heads Or Tails: A Framework To Model Supply Chain Heterogeneous Messages
description	The electronic exchange of business documents between a customer and their trading partner use Electronic Data Interchange (EDI) standards that incorporate various document types from purchase orders to shipping notices between engaging parties. Simulating the behaviour of EDI messages within a Supply Chain networks queuing system has many purposes from understanding the efficiency and effectiveness of queue behaviour leading to process re-engineering and queue optimisation stratification. These different types of EDI transactions are heterogeneous in nature and challenging to model. This research investigates whether a parametric or non-parametric approach is appropriate to model message service times (ST). Our results show that parametric distribution models are suitable for modelling the distributions tail, whilst non-parametric Kernel Density Estimation (KDE) models are ideal for modelling the head.
format	article
author	Sonya Leech Jonathan Dunne David Malone
author_facet	Sonya Leech Jonathan Dunne David Malone
author_sort	Sonya Leech
title	Heads Or Tails: A Framework To Model Supply Chain Heterogeneous Messages
title_short	Heads Or Tails: A Framework To Model Supply Chain Heterogeneous Messages
title_full	Heads Or Tails: A Framework To Model Supply Chain Heterogeneous Messages
title_fullStr	Heads Or Tails: A Framework To Model Supply Chain Heterogeneous Messages
title_full_unstemmed	Heads Or Tails: A Framework To Model Supply Chain Heterogeneous Messages
title_sort	heads or tails: a framework to model supply chain heterogeneous messages
publisher	FRUCT
publishDate	2021
url	https://doaj.org/article/fcce7c1cc4b24940bb8a14e94173d26a
work_keys_str_mv	AT sonyaleech headsortailsaframeworktomodelsupplychainheterogeneousmessages AT jonathandunne headsortailsaframeworktomodelsupplychainheterogeneousmessages AT davidmalone headsortailsaframeworktomodelsupplychainheterogeneousmessages
_version_	1718419460393533440

Heads Or Tails: A Framework To Model Supply Chain Heterogeneous Messages

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