Development of a function block designer for collaborative process planning
ABSTRACT The research objective is to develop methodologies and framework for collaborative process planning and scheduling, supported by a real-time monitoring system in distributed environments. A function block enabled collaborative process planning approach is proposed to handle various dynamic changes during process plan generation and execution. This paper focuses on collaborative process planning, particularly on the development of a function block designer As function blocks can sense environmental changes, it is expected that a so generated process plan can adapt itself to the changes with dynamically optimized solutions for plan execution and process monitoring.
- SourceAvailable from: Rakesh Kumar Phanden
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- "An example of pocket milling in order to generate a function block-based process plan was presented. Moreover, Wang et al. (2005) proposed a framework of collaborative process planning supported by a real-time monitoring system. Authors concluded that an adaptive process plan of the part can be generated by converting its machining features to appropriate function blocks designs. "
ABSTRACT: Process planning and scheduling functions strongly influence profitability of manufacturing a product, resource utilisation and product delivery time. Several researchers have addressed the need for integration of process planning and scheduling (IPPS) functions to facilitate flexibility and for improving profitability of manufacturing a product, delivery time as well as creation of realistic process plans that can be executed readily on shop floor. This article presents a state-of-the-art review on IPPS. Three common integration approaches, non-linear approach, closed loop approach and distributed approach, are discussed with their relative advantages and disadvantages and reported research is classified accordingly. It also identifies several future research directions.International Journal of Computer Integrated Manufacturing 06/2011; 24(6):517-534. DOI:10.1080/0951192X.2011.562543 · 1.02 Impact Factor
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- "Zhang and Gao  presented a framework of concurrent process planning based on Holon. Wang and Song  presented a framework of collaborative process planning system supported by a real-time monitoring system. "
ABSTRACT: Traditionally, process planning and scheduling for parts were carried out in a sequential way, where scheduling was done after process plans had been generated. Considering the fact that the two functions are usually complementary, it is necessary to integrate them more tightly so that performance of a manufacturing system can be improved greatly. In this paper, a new integration model and a modified genetic algorithm-based approach have been developed to facilitate the integration and optimization of the two functions. In the model, process planning and scheduling functions are carried out simultaneously. In order to improve the optimized performance of the modified genetic algorithm-based approach, more efficient genetic representations and operator schemes have been developed. Experimental studies have been conducted and the comparisons have been made between this approach and others to indicate the superiority and adaptability of this method. The experimental results show that the proposed approach is a promising and very effective method for the integration of process planning and scheduling.Computers & Operations Research 06/2009; 36(6-36):2082-2096. DOI:10.1016/j.cor.2008.07.006 · 1.72 Impact Factor
Conference Paper: Function Block Application in ARM-based Field Intelligent Instruments[Show abstract] [Hide abstract]
ABSTRACT: The design and implementation of function block application (FBA) in intelligent instruments is the core to the implementation of control function from intelligent field instruments. Function blocks represent the basic automatic function implemented by function block application. In this paper, the features of function block in intelligent field instruments based on ARM processor are analyzed, method and scheme for design and implementation of function block application in ARM-based intelligent instrument are proposed, which are based on function block parameters-type description, data partition and storing structure in intelligent instruments. 4 data-storing segments are allocated in static memory of intelligent instrument, which are instruction segment, input segment, output segment and contained parameters segment. Static pointers to respective data-storing segments are created, with which any parameters information used in function block application can be found quickly combined with the data and information stored in instruction segment, by which the connection and communication between function blocks are implemented. A implementation method for the operation mode of multi FBA (MFBA) based on map of data segment and memory allocation in intelligent instruments to virtual registers is proposed. The structure and implementation in C++ for the instruction code in instruction segment are also presented. The experimental and operational results show the design and implementation scheme for function block application in intelligent instruments with ARM kernel are scientific and reasonable, stable and efficient in operation.Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on; 08/2007