Developing service supply chains by using agent based simulation

Authored by Javad Rouzafzoon, Petri Helo

Date Published: 2016

DOI: 10.1108/imds-05-2015-0220

Sponsors: No sponsors listed

Platforms: AnyLogic

Model Documentation: Other Narrative

Model Code URLs: Model code not found

Abstract

Purpose - Agent-based computer simulation gives new possibilities to model service supply chains which combine flow of people, geographical elements, demand patterns and service rates. The purpose of this paper is to demonstrate by using an example how agent-based modeling can be used for health service supply chain design. Design/methodology/approach - Generic structure of agent-based service supply chain modeling is described. The presented example is healthcare supply chain with service distribution and service location problem. Main focus in presentation on model building, actual case data are not discussed. Findings - In context of service supply chain, agent-based modeling has advantages compared to traditional discrete event approach. Agent-based simulation allows modeling of interactions of autonomous agents. Practical implications - Reach of service for each geographical area may be used as a constraint for building service distribution network. Service supply chains consist of service providers and flow of customers with given geographical locations. Key performance indicators can be assessed in combination with service footprint. Originality/value - Availability of geographical population data and agent-based simulation gives new possibility for service supply chain models.

Tags

Management Performance Optimization Model decision-support Location Hospitals System Care Emergency-department