Process monitoring is a major focus on improving productivity of discrete manufacturing. With the recent application of new technologies such as radio frequency identification to manufacturing process, real-time production information has become available for decision support in manufacturing system. This study presents a radio frequency identification–based visibility monitoring rule for tracking work-in-process. Specific to the aviation manufacturing shop floor, a case study for demonstration is designed. The value of radio frequency identification–enabled real-time information is investigated within the discrete manufacturing operation. For this purpose, a simplified simulation model is developed to test the benefit of radio frequency identification–based rule compared to the classical scheduling rule. The results indicate that the adoption of radio frequency identification brings better production performance.
The research is concerned with the practical use of RFID-based traceability approach in large discrete manufacturing workshop. An RFID-based RTLS (Real-time location system) is proposed for tracking WIPs (work in processes), Tool, Measuring tool, and AGV to achieve new levels of process visibility and control. The positioning methods and principle are introduced and the framework of the proposed system is provided. A prototype system is developed to verify the proposed system and a simulation model is built to evaluate the performance of the proposed system. The results indicate that the proposed system generates better performance compared with traditional system with regard to cycle time and machine utilizations, especially when some disruptions occur.
Abstract-As a complex discrete manufacturing system, aircraft assembly line has a lot of different types of laborers. Currently, there are few effective optimization algorithms for laborers allocation problem (LAP). Based on a real aircraft assembly line and its characteristics, the paper proposed an improved greedy algorithm (IGA) which tries to resolve laborer allocation problem. This paper formulates multiple objective functions and constraints according to the actual demand. The utility function is employed to deal with the difficulty of integrating several conflicting and incommensurable objectives into one overall measure. The IGA is an optimization method to achieve balance control of LAP in the discrete manufacturing system based on the core idea of the greedy algorithm. That is to say, optimization can be obtained through moving different operations in a parallel way while the precedence constraints remain unchanged. During the optimization process, 11 attributes are defined for each operation so that the code can be written and the mathematical calculations can be conducted easily. Meanwhile, an example is used to illustrate the optimization process of the algorithm. In this paper, a self-contrast experiment is conducted to verify the validity of the IGA for LAP. The experimental results demonstrate that the IGA can effectively solve the LAP for aircraft assembly line.Index Terms-Aircraft assembly line, optimization, laborer allocation problem (LAP), improved greedy algorithm (IGA).
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