Entropy-Maximization-Based Customer Order Allocation of Clothing Production Enterprises in the Sharing Economy

With the rapid development of sharing economy, more and platform operators apply concept in manufacturing, which increases efficiency assets utilization. Considering apparel industry, clothing enterprises or manufacturers may share their excess orders between each other via a manufacturing cloud platform. Under traditional production mode, focus on processing individual orders. There be coexistence insufficient surplus capabilities. Some cannot meet customer demands due to limited capabilities some have rejected, while capacities with demands. It results loss revenue, it is not conducive maintaining good relationship. In this paper, we consider shared system multiple that produce homogeneous products, can other. Once any manufacturer fulfill all its orders, unsatisfied ones will aim improving balance resource utilization risk resistance The entropy maximization theory mainly adopted facilitate formulation objective function. We Taylor expansion reformulate function construct mixed-integer quadratic programming (MIQP) model. employ off-the-shelf solvers solve small-scale problems, also propose two-stage constructive heuristic algorithm large-scale problems. Numerical experiments are conducted demonstrate algorithm.