An Optimization Model to Evaluate Dynamic Assignment Capability of Agile Organization

Recently the planning under the uncertain and competitive environment is the hot topic in the agile organization. Many studies highlight how to rapidly make or change the plans with detecting advance information. One of the widely used solutions is to evaluate the agile organization's decision-making capability based the time-domain metrics. However, the dynamic assignment capability always changed during task operating within time-domain. It caused that the planning used the wrong organization capability in the most time. In this paper, we develop an improved simulated annealing algorithm to address this problem. In order to discretize the time-domain, we propose a horizon partition that is based on the task dynamic state. Finally, the optimization model is tested in a toy example. Compared with the traditional models, the results show the proposed model has better outcomes for accurately estimating dynamic agile organization capability.