فناوری مدل سازی جریان مواد و کاربرد آن در سیستم های اجرای ساخت در صنعت پتروشیمی
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|10175||2008||8 صفحه PDF||سفارش دهید||محاسبه نشده|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Chinese Journal of Chemical Engineering, Volume 16, Issue 1, February 2008, Pages 71–78
The management and control of material flow forms the core of manufacturing execution systems (MES) in the petrochemical industry. The bottleneck in the application of MES is the ability to match the material-flow model with the production processes. A dynamic material-flow model is proposed in this paper after an analysis of the material-flow characteristics of the production process in a petrochemical industry. The main material-flow events are described, including the movement, storage, shifting, recycling, and elimination of the materials. The spatial and temporal characters of the material-flow events are described, and the material-flow model is constructed. The dynamic material-flow model introduced herein is the basis for other subsystems in the MES. In addition, it is the subsystem with the least scale in MES. The dynamic-modeling method of material flow has been applied in the development of the SinoMES model. It helps the petrochemical plant to manage the entire flow information related to tanks and equipments from the aspects of measurement, storage, movement, and the remaining balance of the material. As a result, it matches the production process by error elimination and data reconciliation. In addition, it facilitates the integration of application modules into the MES and guarantees the potential development of SinoMES in future applications.
Currently, the management and control of material flow is a topic that challenges the manufacturing execution system (MES) community [ 1, 21, especially in the processed product domain such as the petrochemical industry. A part of this flow may be simply treated with the method of the static material set, in which the primordial principle is the enumeration of the category and quantity of materials, but it is difficult to adapt the dynamic environment of changing material flow in this model. A much more smart technology needs to be discovered and refined to work well . Smart MESs require the services of manufacturing entities, e.g. resources such as production-cells, equipments, and workers, so as to achieve their production needs 14-61. These resources could smartly organize themselves, based on their own knowledge and on a flexible cooperation policy, to cany out the smart-product requests. However, this cooperation is difficult, mainly because the elements of the factory are heterogeneous. The material-flow management and control in petrochemical industries seems to be a big challenge because there are physical and chemical changes of materials during the complicated and long production processes. Liquids, gases, and solid materials coexist. Materials flow or stay in the network of devices and storage areas, entering/leaving factory points, undergoing the various processes such as mixing, separating, alternating, recycling, and elimination of materials. This material path is considered as a microconcept of material flow. This diversity of modalities could be homogenized and integrated by their encapsulation, in an abstract manner, into models constructed through an adaptive and dynamic procedure. Hence, smart MESsembedded with these models could also serve as “holons”, able to treat different kinds of dynamic problems occumng in complicated production processes. The intention of this study is to propose a conceptual solution as a meta-model for adaptively-driven logistics-model construction. This solution is also used to improve a design and simulation tool for MESs of the Chinese petrochemical industry, called the SinoMES V2.0 , toward the evolution of a holonic manufacturing system (HMS). A future objective is to present t h ~ sm eta-model and its automatic and adaptive construction method as an engineering tool that aids in the composition of such systems, using a set of holons and their relationship that has been previously developed and tested. The quality of the meta-model would allow a reduction in the time for system composition, and address more accurately real material-flow conditions in the production process. This is observable in the SinoMES V2.0 context, some experiments based on it demonstrating the potential of the solution.
نتیجه گیری انگلیسی
Logistics management and control forms the core content of MES including periodic service activities such as planning and scheduling, yield accounting and performance evaluation. Therefore, establishing a logistics model that can reflect the logistics conditions accurately and promptly is one of the key requirements for the success of MES. The dynamic-logistics-modeling technique based on incident rules proposed in this paper, offers a possible method to solve the long-standing problem of matching the logistics models to the dynamicproduction processes, and in addition, helps in the construction of the information platform for further applications of MES in process industries.