Take Risks into Consideration while Job Dispatching

To deal with the uncertainty of job dispatching in mobile workforce management, we propose the framework of Risk-Oriented joB dispAtching for mobiLe workfOrce system (ROBALO) [3]. Generally speaking, the main goal of job dispatching in MWMSs is to assign the right people to satisfy a job request in the field within the constraints of time [8, 1]. In tradition, job dispatching mechanism usually take exception handling processes to deal with the failure of job execution. In comparison with this approach, ROBALO takes risks into consideration, (which is especially useful in the scenario of MWMS because mobile workers may usually meet unexpected situations in the field). Therefore, the time to discover the failure can be saved because we try to do things right at the first time. Simply speaking, ROBALO provides a systematic approach to ease the tension between (a) the reliability requirement to serve a job request, and (b) the cost of the job’s assignment. While our approach finds the assignment with the minimum cost under a certain degree of risk, the requirement of reliability and cost can be balanced. Furthermore, with the risk information, job dispatcher can reserve some resources and make some preparations for the incident. In [3], we focus on the scenario of online job dispatching. Online job dispatching choose a worker