Response time analysis of a manufacturing supply chain with performance evaluation process algebra
Computers & Industrial Engineering
; : 108043, 2022.
Article
in English
| ScienceDirect | ID: covidwho-1707224
ABSTRACT
The supply and demand shocks brought on by the Covid-19 crisis are forcing manufacturers everywhere to reassess or even reorganise their supply chains. This paper proposes a general framework that can achieve fast compositional modelling with stochastic performance evaluation process algebra (PEPA) for supply chain systems. The key feature of such a framework is the PEPA-based quantitative analysis approach which includes a new method for calculating response time based on compositional PEPA models. The framework aims to provide an efficient modelling prototype for supply chain systems while supporting accurate response time-based quantitative analysis. To our knowledge, this is the first work using process algebra-based compositional modelling to quantitatively analyse supply chain systems.
Full text:
Available
Collection:
Databases of international organizations
Database:
ScienceDirect
Type of study:
Experimental Studies
Language:
English
Journal:
Computers & Industrial Engineering
Year:
2022
Document Type:
Article
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