Business Logic for Resilient Supply Chain Logistics

Rob Bemthuis

doi:10.1109/EDOCW.2019.00041

Business Logic for Resilient Supply Chain Logistics

Rob Bemthuis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 Citations (Scopus)

295 Downloads (Pure)

Abstract

Technological advancements of emerging paradigms such as Internet of Things have enabled new modes of system design. The supply chain logistics domain can benefit significantly from advances in monitoring and detection of emergent behavior. This doctoral research aims to investigate how techniques and enterprise architectures can be used in order to improve the resilience of logistics supply chain environments. One of the focus areas is the management and improvement of business logic. The foreseen contributions relate to three business logic design aspects. First is the allocation and scheduling of business logic tasks. The next contribution is related to extracting meaning from colossal volumes of data by accommodating data analytic methods. The last contribution evaluates hierarchical software architectures and the underlying system-wide and individual logistics business process performance. Advise is sought on the prospective role business logic can play to improve real-time decision-making in supply chain logistics.

Original language	English
Title of host publication	2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	190-195
Number of pages	6
ISBN (Electronic)	978-1-7281-4598-3
ISBN (Print)	978-1-7281-4599-0
DOIs	https://doi.org/10.1109/EDOCW.2019.00041
Publication status	Published - 21 Nov 2019
Event	23rd IEEE International Enterprise Distributed Object Computing Conference, EDOCW 2019: the Enterprise Computing conference - Université Paris 1 Panthéon-Sorbonne, Paris, France Duration: 28 Oct 2019 → 31 Oct 2019 Conference number: 23

Publication series

Name	IEEE International Enterprise Distributed Object Computing Workshop (EDOCW)
Publisher	IEEE
Volume	23
ISSN (Print)	2325-6605
ISSN (Electronic)	2325-6605

Conference

Conference	23rd IEEE International Enterprise Distributed Object Computing Conference, EDOCW 2019
Abbreviated title	IEEE EDOC 2019
Country/Territory	France
City	Paris
Period	28/10/19 → 31/10/19

Keywords

Business logic
Business rule
Emergent behavior
Enterprise architecture
Internet of Things (IoT)
Supply chain logistics
Multi-agent system

Access to Document

10.1109/EDOCW.2019.00041

ArticleAccepted author version, 140 KB
ArticleFinal published version, 123 KBLicence: Taverne

http://www.scopus.com/inward/record.url?scp=85075969320&partnerID=8YFLogxK

23rd IEEE International Enterprise Distributed Object Computing Conference, EDOC 2019
Bemthuis, R. (Participant)
28 Oct 2019 → 31 Oct 2019
Activity: Participating in or organising an event › Participating in a conference, workshop, ...
23rd IEEE International Enterprise Distributed Object Computing Conference, EDOC 2019
Koot, M. (Participant), Bemthuis, R. (Participant) & Iacob, M. E. (Participant)
28 Oct 2019 → 31 Oct 2019
Activity: Participating in or organising an event › Participating in a conference, workshop, ...

Best Doctoral Consortium Paper Award
Bemthuis, R. (Recipient), 30 Nov 2019
Prize

Cite this

@inproceedings{9464aa48f1b7440db4095d39770fdfaf,

title = "Business Logic for Resilient Supply Chain Logistics",

abstract = "Technological advancements of emerging paradigms such as Internet of Things have enabled new modes of system design. The supply chain logistics domain can benefit significantly from advances in monitoring and detection of emergent behavior. This doctoral research aims to investigate how techniques and enterprise architectures can be used in order to improve the resilience of logistics supply chain environments. One of the focus areas is the management and improvement of business logic. The foreseen contributions relate to three business logic design aspects. First is the allocation and scheduling of business logic tasks. The next contribution is related to extracting meaning from colossal volumes of data by accommodating data analytic methods. The last contribution evaluates hierarchical software architectures and the underlying system-wide and individual logistics business process performance. Advise is sought on the prospective role business logic can play to improve real-time decision-making in supply chain logistics.",

keywords = "Business logic, Business rule, Emergent behavior, Enterprise architecture, Internet of Things (IoT), Supply chain logistics, Multi-agent system",

author = "Rob Bemthuis",

year = "2019",

month = nov,

day = "21",

doi = "10.1109/EDOCW.2019.00041",

language = "English",

isbn = "978-1-7281-4599-0",

series = "IEEE International Enterprise Distributed Object Computing Workshop (EDOCW)",

publisher = "IEEE",

pages = "190--195",

booktitle = "2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)",

address = "United States",

note = "23rd IEEE International Enterprise Distributed Object Computing Conference, EDOCW 2019 : the Enterprise Computing conference, IEEE EDOC 2019 ; Conference date: 28-10-2019 Through 31-10-2019",

}

Bemthuis, R 2019, Business Logic for Resilient Supply Chain Logistics. in 2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)., 8907296, IEEE International Enterprise Distributed Object Computing Workshop (EDOCW), vol. 23, IEEE, Piscataway, NJ, pp. 190-195, 23rd IEEE International Enterprise Distributed Object Computing Conference, EDOCW 2019, Paris, France, 28/10/19. https://doi.org/10.1109/EDOCW.2019.00041

Business Logic for Resilient Supply Chain Logistics. / Bemthuis, Rob.
2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW). Piscataway, NJ: IEEE, 2019. p. 190-195 8907296 (IEEE International Enterprise Distributed Object Computing Workshop (EDOCW); Vol. 23).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Business Logic for Resilient Supply Chain Logistics

AU - Bemthuis, Rob

N1 - Conference code: 23

PY - 2019/11/21

Y1 - 2019/11/21

N2 - Technological advancements of emerging paradigms such as Internet of Things have enabled new modes of system design. The supply chain logistics domain can benefit significantly from advances in monitoring and detection of emergent behavior. This doctoral research aims to investigate how techniques and enterprise architectures can be used in order to improve the resilience of logistics supply chain environments. One of the focus areas is the management and improvement of business logic. The foreseen contributions relate to three business logic design aspects. First is the allocation and scheduling of business logic tasks. The next contribution is related to extracting meaning from colossal volumes of data by accommodating data analytic methods. The last contribution evaluates hierarchical software architectures and the underlying system-wide and individual logistics business process performance. Advise is sought on the prospective role business logic can play to improve real-time decision-making in supply chain logistics.

AB - Technological advancements of emerging paradigms such as Internet of Things have enabled new modes of system design. The supply chain logistics domain can benefit significantly from advances in monitoring and detection of emergent behavior. This doctoral research aims to investigate how techniques and enterprise architectures can be used in order to improve the resilience of logistics supply chain environments. One of the focus areas is the management and improvement of business logic. The foreseen contributions relate to three business logic design aspects. First is the allocation and scheduling of business logic tasks. The next contribution is related to extracting meaning from colossal volumes of data by accommodating data analytic methods. The last contribution evaluates hierarchical software architectures and the underlying system-wide and individual logistics business process performance. Advise is sought on the prospective role business logic can play to improve real-time decision-making in supply chain logistics.

KW - Business logic

KW - Business rule

KW - Emergent behavior

KW - Enterprise architecture

KW - Internet of Things (IoT)

KW - Supply chain logistics

KW - Multi-agent system

U2 - 10.1109/EDOCW.2019.00041

DO - 10.1109/EDOCW.2019.00041

M3 - Conference contribution

SN - 978-1-7281-4599-0

T3 - IEEE International Enterprise Distributed Object Computing Workshop (EDOCW)

SP - 190

EP - 195

BT - 2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)

PB - IEEE

CY - Piscataway, NJ

T2 - 23rd IEEE International Enterprise Distributed Object Computing Conference, EDOCW 2019

Y2 - 28 October 2019 through 31 October 2019

ER -

Business Logic for Resilient Supply Chain Logistics

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Activities

23rd IEEE International Enterprise Distributed Object Computing Conference, EDOC 2019

23rd IEEE International Enterprise Distributed Object Computing Conference, EDOC 2019

Prizes

Best Doctoral Consortium Paper Award

Cite this