A grammar-based process modeling and simulation methodology for supply chain management

Mohsen Mohammadi, Muriati Mukhtar, Hamid Reza Peikari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In order to respond to customer demands, supply chains must be rapidly reconfigured and evaluated. This has given rise to supply chain simulation as an important tool to aid in the evaluation of supply chain configurations. Part of the reconfigurations involved designing and redesigning business processes. Hence, business process simulation is an integral part of supply chain simulation. Supply chain simulation models are usually large-scale complex models. It is thus usual for the simulation experts to get overwhelmed with the simulation process itself. This paper intends to propose a methodology, combining two approaches (i.e. grammar-based business process modeling and simulation) to facilitate process thinking (reengineering). This methodology bridges the gap between business process modeling and simulation by providing the grammatical approach. This paper presents a novel approach to design business processes based on grammar-based process modeling, event-driven process chains (EPC) and discrete event simulation. This paper illustrates that the grammar-based process modeling approach is applicable to the simulation of dynamic systems such as supply chains as well as representing detailed description of the processes and events. More detailed and advanced analysis, and discussions will be reported in future papers.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages77-86
Number of pages10
Volume7066 LNCS
EditionPART 1
DOIs
Publication statusPublished - 2011
Event2nd International Visual Informatics Conference, IVIC 2011 - Selangor
Duration: 9 Nov 201111 Nov 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume7066 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Visual Informatics Conference, IVIC 2011
CitySelangor
Period9/11/1111/11/11

Fingerprint

Supply Chain Management
Supply chain management
Process Simulation
Process Modeling
Supply Chain
Grammar
Supply chains
Modeling and Simulation
Methodology
Business Process
Business Process Modeling
Industry
Simulation
Reengineering
Event-driven
Discrete event simulation
Discrete Event Simulation
Reconfiguration
Design Process
Dynamic Systems

Keywords

  • Business Process Reengineering
  • Event-driven process chain
  • grammar-based modeling
  • process simulation
  • supply chain

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Mohammadi, M., Mukhtar, M., & Peikari, H. R. (2011). A grammar-based process modeling and simulation methodology for supply chain management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 1 ed., Vol. 7066 LNCS, pp. 77-86). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7066 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-25191-7_9

A grammar-based process modeling and simulation methodology for supply chain management. / Mohammadi, Mohsen; Mukhtar, Muriati; Peikari, Hamid Reza.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7066 LNCS PART 1. ed. 2011. p. 77-86 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7066 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mohammadi, M, Mukhtar, M & Peikari, HR 2011, A grammar-based process modeling and simulation methodology for supply chain management. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 edn, vol. 7066 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 7066 LNCS, pp. 77-86, 2nd International Visual Informatics Conference, IVIC 2011, Selangor, 9/11/11. https://doi.org/10.1007/978-3-642-25191-7_9
Mohammadi M, Mukhtar M, Peikari HR. A grammar-based process modeling and simulation methodology for supply chain management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 ed. Vol. 7066 LNCS. 2011. p. 77-86. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). https://doi.org/10.1007/978-3-642-25191-7_9
Mohammadi, Mohsen ; Mukhtar, Muriati ; Peikari, Hamid Reza. / A grammar-based process modeling and simulation methodology for supply chain management. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7066 LNCS PART 1. ed. 2011. pp. 77-86 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).
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