HumLog Suite is a performance assessment platform for logistics processes in crisis management. It can operate on both current operational logistics networks and fictional or planned network configurations. Based on this functionality, it offers strategic planning support as well as tactical and operational decision support by assessing and comparing the network performance under given situations and realistic crisis management actions. The name “HumLog” refers to the humanitarian logistics context as the planning, implementation and controlling of efficient, cost-effective flow and storage of goods, materials and equipment as well as related information, from point of origin to point of consumption for the purpose of meeting the beneficiaries’ requirements under given resource capacities.

The solution implements this objective from three distinct but interconnect viewpoints:

  • HumLog[em] is a modelling tool able to support various modeling languages. Current or planned operational processes are recorded and designed in here. It can be used for the application of reference models as well as for the model reporting and pattern search.
  • HumLogBSC is an IT supported performance measurement system for humanitarian logistics. It is a processdriven and modular Balanced Scorecard and based on the reference model of humanitarian logistics. It utilizes the modelled processes to derive a set of performance values.
  • HumLogSim is an adaptable simulation environment for discrete eventbased and agent-based simulations, which represent crisis management activities within and between humanitarian organizations to achieve a defined objective, while assessing the overall performance.

HumLog Suite can be used in different settings and operation levels of crisis management. On a strategic level, one capability is the support of creating or updating a relief network of one or multiple responder organizations. Using the process modelling features, one can design and evaluate crisis management operations to plan daily operations or to prepare emergency actions in case of a crisis event. Beyond this, the simulation environment can analyze different possible network configurations in terms of facility locations, relief goods stock values, warehouse capacities, human resources and others. By executing so-called “what-if” scenarios, the performance of a planned network can be simulated under a fictive crisis event, which could for example make use of historical crisis event data to represent a realistic scenario.

On a tactical level, these capabilities can also be utilized to compare possible execution plans and to estimate their expected outcomes. Given a relief network of one or multiple responder organizations in an actual crisis event, crisis management commanders can test different strategies in addressing the crisis without any influence on the real world resources. The simulation capabilities can thereby be freely adapted to the needs of an individual organization, like for example the construction of sandbag barriers, evacuation of the population or allocation and transportation of human resources. The simulation will take all available resources and capacity restrictions into account to provide a complete and sophisticated execution protocol, which can then be used by command staff to compare execution strategies.

Innovation stage
Crisis Cycle Phase