Name
Abstract | ||
|---|---|---|
Industrial Dynamics involves system modelling, simulation and evaluation leading to policy making. Traditional approaches to industrial dynamics use expert knowledge to build top-down models that have been criticised as not taking into account the adaptability and sociotechnical features of modern organisations. Furthermore, such models require a-priori knowledge of policy-making theorems. This paper advances recent research on bottom-up agent-based organisational modelling for Industrial Dynamics by presenting a framework where simulations produce histories that can be used to establish a range of policy-based theorems. The framework is presented and evaluated using a case study that has been implemented using a toolset called ESL |
Year | Venue | Field |
|---|---|---|
2017 | ISD | Adaptability,Sociotechnical system,Engineering,Management science |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tony Clark | 1 | 88 | 22.46 |
| Balbir Barn | 2 | 0 | 0.34 |
| Vinay Kulkarni | 3 | 314 | 45.93 |
| Souvik Barat | 4 | 61 | 13.20 |