On work performance for the labor-intensive manufacturing

Today, the pressure of economic globalization pushed many manufacturers to move to the developing countries and to start the lower-cost labor-intensive manufacturing (LIM). For example, China is called the world factory in the global economy. The performance evaluation for such kind of labor-intensive process is important for these developing countries. The traditional productivity-based performance indicators are usually used for evaluating the throughput of an entity (an individual or a department). They may not be feasible for assessing the aggregated performance in a complex process across various departments. This article proposes a novel probabilistic method for evaluating the aggregated work performance in a LIM. The proposed approach is not only assessing the aggregated process performance, but also providing the suggestions of individual enhancement for process improvement. Some numerical examples are illustrated to show the merits of this approach.