A task assignment model and its application for crowdsourcing project factored multi-objective and risks

Assigning tasks to workers for a crowdsourcing project is challenging and needs to consider worker capacity, project duration, total cost and some operational constraints. We formulate the problem as a tri-objective optimisation model, which minimises project duration while simultaneously achieving lower total cost and fewer workers under the considering the capacity risk of contractor. A heuristic algorithm is developed to obtain Pareto efficient solutions. we used the fuzzy AHP(analytic hierarchy process) to confirm the priority among the time cost and the number of selected workers in the process of collaborative manufacturing task allocation. Finally, we designed the heuristic algorithm to solve the multi- objectives model and verified the validity superiority of the algorithm through a specific example.