| In order to deal with the problems in the application of manufacturing information systems, the framework architecture, functional modules and information exchange mechanism of Manufacturing Execution System (MES) which plays an important role in the field of enterprise information integration, are studied in this thesis. The basic information integration models of MES are reconstructed based on Object Process Methodology (OPM) and IEC/ISO62264standard. These models specify the hierarchy of manufacturing enterprises, and establish the data channel between actual production process and corporate decision-making system. An evaluation system based on Key Performance Indicator (KPI) is proposed for MES, which refines and extends the capability of performance analysis module in MES, and ensures the stability and efficiency of MES. This evaluation system is divided into two parts:static analysis and dynamic analysis. Static analysis defines the indicators according to a standardized template and provides a set of indicators; dynamic analysis includes calculation and benchmark determination of KPIs. By combining the static and dynamic aspects, the potential of MES is explored. Thus the efficiency and stability are improved. The major contributions of this thesis are described as follows:1) For the lack of standardized hierarchical models and a unified and effective modeling theory for MES, the Equipment Hierarchy Model in IEC/ISO62264, as well as OPM are introduced to describe and build the models involved in MES. By comparing OPM and Unified Modeling Language, the advantages of OPM in modeling complex systems and dynamic systems are highlighted. The application in an oil refinery factory verifies the correctness and universality of these models and the effectiveness of OPM.2) An evaluation system based on KPI is proposed, which refines and extends the capabilities of performance analysis modules in MES. This evaluation system is divided into two parts:static analysis and dynamic analysis. Static analysis defines the indicators and provides a set of indicators; dynamic analysis includes calculation and benchmark determination of KPIs. By combining the static and dynamic aspects, the efficiency, stability and sustainability of MES can be improved.3) According to the static analysis part of the evaluation system for MES based on KPI, the fundamental elements and data sources of KPIs are analyzed, which can be divided into three types, such as time, quantity and quality. And a generic model is proposed to describe the definitions, formulas and attributes of KPIs. According to the experience in the application of the manufacturing enterprises, a set of typical KPIs is listed. A survey for the using of KPIs from more than ten manufacturing enterprises verifies the rationality and effectiveness of KPI sets, and improves the definitions of KPIs.4) The evaluation architecture of KPIs for MES in process industry is analyzed, in which six typical KPIs are listed referred to manufacturing equipment, and a set of KPIs for manufacturing equipment is established. According to the dynamic analysis part of this evaluation architecture, a method based on steady-state optimization is proposed to determine the benchmark for KPIs of manufacturing equipment. Finally, the calculation and benchmark setting for the produced ratio of a distillation column are achieved as an application case.5) The architecture, components, and implementation of SMES3.0are analyzed to verify the effectiveness of the models in IEC/ISO62264. By comparing the enterprise level model of SMES3.0and the equipment hierarchical model in IEC/ISO62264, the advantages of unified information integration models are pointed out. The integrated display module in SMES3.0is analyzed, and the KPI evaluation method is applied in this module, which improves the visibility and practicality. |
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