Replacement planning
This repository includes code and datasets on replacement planning projects.
Replacement planning consists in addressing short-term lack of resources in organizations, due to temporary or permanent unavailability of employees or machines. Although aimed at tactical decisions more than at long-term strategic planning, a replacement system is critical to guarantee continuity of operations in business processes. As such, a variety of aspects must be considered, e.g. capabilities of resources, their workloads and possible other domain-specific constraints.
We propose a framework for supporting resource replacement that makes use of logs of past process executions to model a social network of resources through organizational mining techniques. The social graph extends traditional approaches by modelling a richer relation of handover of work. On this top, a similarity measure among resources is exploited along with run-time resource workload to define an Integer Linear Model to determine the optimal assignment of the unavailable resource’s tasks to the available ones.
The folder “code” includes an Eclipse project implementing our resource replacement approach proposed in
Andrea Chiorrini, Claudia Diamantini, Domenico Potena and Emanuele Storti. “Data-driven Replacement Planning Through Organizational Mining”. Submitted to the 2nd International Conference on Process Mining (ICPM 2020), Oct 5-8, 2020, Padua, Italy.
For information or requests, please contact Emanuele Storti - e.storti@univpm.it