Integrated supporting cooperation model with fuzzy approach for staff scheduling problem in service supply chain

In the past few years, the multinational chain has risen widely. Facing up to the manpower shortage issue in the market, how to design an integrated efficient and responsive supply chain model to optimize personnel planning and staffing operations, and fulfill diverse requirements of product and service for satisfying customers has become one factor in the modern labor-intensive service industry system. In this study, we propose a framework that satisfying the supporting cooperation among members based on the service skill with the fuzzy clustering and objective function with the penalty evaluation to solve the human resource planning problem within multinational supply chain system. Unlike traditional staff scheduling that merely focuses on reducing the cost, the supporting cooperative framework provides proper integrated platforms for personnel flow in global logistics in respect of the customer service and partnership empathy to achieve the goal of the sustainable operation.