A product service supply chain (PSSC) supplies customers with product-service systems (PSS) consist of integrated products and services. The product manufacturing should match the service supply in the order delivery planning. For PSS orders are usually delivered under time window constraints, this paper is concerned with the integrated order acceptance and scheduling (OAS) decision of the PSSC. Defined the PSS orders by their revenues, product processing times, serving offering times and hard time window constraints, we formulate the OAS problem as a MILP model to optimize total revenue of PSSC and propose two effective value for big-M to solve the problem with small size optimally. The simulated annealing algorithm based on the priority rule of servable orders first (SOF-SA) and the dynamic acceptance and scheduling heuristic (DASH) algorithm are presented. The performance of the model and the two algorithms are proved through simulating instances with different order sizes. Computational tests show that the SOF-SA algorithm is more effective when used for small size problems while the DASH algorithm is more effective for problems with larger size; negotiating with customers to make reasonable delivery time windows should be beneficial to increasing total revenue and improving the decision efficiency.
The recent advance in information technologies has the potential to greatly enhance product development, and to make distributed designers, engineers, manufacturers and customers work together over networks. This paper reviews related work on service-oriented architecture, distributed infrastructure and highlights the need to integrate service-oriented architecture technologies for meaningful and interactive collaborative design processes. This paper presents a service-oriented architecture implemented by web services for collaborative design. The collaborative workspace is presented to facilitate the design participants’ collaboration. The proposed architecture is applicable to different requirements of design participants and enhances design interaction during the product realization process.
A large travel nanoscale 3D precision displacement system is designed with a two-stage coarse-fine driving pattern. Its coarse driving is completed by PID adaptive controller that controls the servo motor and precise ball screw to drive a 1D table, and the fine driving is realized by PZT (piezoelectric microdisplacement actuator). Program control method is adopted to realize the matching of micrometer and nanometer lever driving. A traceable measuring system based on MIP (the Michelson Interference principle) is designed and used to detect positioning, which reduces the accumulated detection error. Experiments verify the effectiveness of the displacement system.
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