Papers by Keyword: MES

Abstract: —Foam stability and mobility reduction are the key parameters for foam assisted enhanced oil recovery. The harsh conditions such as high temperature, pressure and salinity present in an oil reservoir tend to destabilise the foam leading to poor sweep efficiency. Screening for the best performing foaming recipes has been performed to ascertain foam stability in the presence and absence of oil. Static foam test has been performed in order to study the foam stability and foam oil interactions at 90°C. Two anionic surfactants, alpha olefin sulphonate (AOS_14-16) and methyl ester sulphonate (MES_16-18) were mixed with betaine (foam booster) in different proportions to design the formulations. In addition to the ternary formulations, binary formulation involving surfactant and betaine were also evaluated for foam stability. For the study of oil effects on foaming performance of surfactant formulation, n-decane, diesel and Dulang crude oil are used. The recipes were evaluated by static foam tests to note the foam height and endurance time. It was found that the anionic surfactant played a major role in foam stability and the betaine was found less significant. However, the betaine alone was found effective for foaming and was poor for endurance time. While in mixture, the surfactant and betaine were found to interact strongly and a profound synergistic effect was noted. During oil interaction studies, the alkane type oils of low molecular weight become solubilised with surfactant molecule forming an emulsion and hence decimate the foam stability. However, higher alkanes with molecular chain more than ten carbon atoms (decane) stabilised the foam because of low solubilisation efficiency between surfactant and oil to form emulsions. The obtained results of the designed experiment have been analysed and discussed in detail to understand the contribution of individual component as well as their interactions with each other in order to stabilize foams.Keywords—Static Foam, Foam-Oil interactions, AOS, MES, Enhanced Oil Recovery

Abstract: This paper presents case study of data acquisition in non-automated discrete production system. The issue of acquisition of data from the production system in order to support company management is essential for the integration of business and manufacturing areas of the company. Properly organized data acquisition system, consisting of hardware, software and organizational solutions, should provide access to real-time data on production tasks, flow of materials and work in progress, usage and effectiveness of workers and equipment, and the quality of production. Availability of data depends on type of production system, more precisely on the level of automation of technological processes. The Manufacturing Information Acquisition System (MIAS) methodology has been used in order to support design of the data acquisition system for the company producing large tanks, in which there is no automated equipment and most of production operations are realised manually. The algorithm of acquiring data from workers, organisational solutions and data processing in developed “Mistrz” IT system has been described, as well as problems with MIAS encountered during system operation in early stages of introduction.

Abstract: Steel industry is an important part of the national economy, however, the complex process of ironmaking-steelmaking has been a serious constraint to the development of steel enterprises. In this paper, on the basis of the traditional processes of iron-steel interface, the planning of short process of iron-steel interface with “One open ladle” is proposed. There is also the design of MES in iron district, which has been applied in a steel enterprise of Chongqing, China, with significant effects.

Abstract: Real-time information feed describing the state of production system is the key to successful management of any company, because up-to-date information is necessary basis for decision making in company operating on globalised market. Data describing the state of the production system should be collected in the manufacturing system, pre-processed, interpreted, filtered, archived and finally, either used in IT systems supporting company management (MES, ERP), or directly presented to crew and managers responsible for specific areas of interest. Possibility of data acquisition in companies strongly depends on specific of branch of industry, technological processes automation level, number of operations performed manually, type of production, etc. Acquisition of data on state of the production system should be carried-on automatically, without involvement of workers. This paper presents overall description of issues of data acquisition in company, proposed Manufacturing Information Acquisition System (MIAS) and the case study of data acquisition in company leading continuous, automated production processes Central Wastewater Treatment Plant (WWTP) in Gliwice, Poland.

Abstract: The exchange of data between systems is a very complex process. This is the resultant of a huge variety of communication tools, the differences in the systems' structure, data storage, etc. Therefore, integration of systems - highly desired by businesses - becomes equally important challenge as the possession of the systems. Systems integration, however, is responsible only for the exchange of information. Wider notion from integration is interoperability. Treated as a systems property, allows not only to exchange information but also mutual understanding between them. The paper presents the concept of middleware application that could provide the interoperability of enterprise systems. The application structure was based on three aspects: the transformation, completeness verification and validation of data that can be exchanged between ERP and MES systems. Each of these aspects is discussed in this paper. The application uses a unified model of data based on a dedicated language B2MML.

Abstract: Under the national trend of manufacturing information and integration, cold-rolled sheet plants (CRSP) have begun to transform the manufacturing information in order to meet the fierce market competition. The upper information management (ERP) has already been basically realized in current market. However, the lower automation system and the upper information management system are not well integrated, causing a series of problems, such as basic data delay in the production line, being difficult to keep unanimous with the upper data and so on. To solve the above problems, efforts are paid on the combination of the manufacturing information system requirements and the research of MES system architecture, a set of MES system is established and the whole system architecture and function modules are designed in detail. Through the simulation of this system, it finds that the logistics and information flow can keep unanimous and the production efficiency will be greatly improved, which will create greater economic benefits.

Abstract: Abstract.As a pillar industry of the national economy, manufacturing is the centralized embodiment of the international competitiveness. Manufacturing industry in china has developed quickly and gotten lots of achievements in recent years. Nevertheless, compared with the developed countries, we still have great gaps, such as the improper ratio of the light and heavy industry,the lacking ability of market research and technical innovation, especially the out-dated concept of management which hinder the development of the manufacturing industry in our country seriously. Nowadays, the most widely used real-time system of management in manufacturing is the Manufacturing Execution system(MES for short). MES is a kind of production management technology and real-time information system facing manufacturing workshop,also is the management information system facing the workshop between the management system at the top and the control system at the bottom. Mobile computing is a kind of new arisen technology at the basis of the rapid development of mobile communication, the Internet, database, distributed computing technology and so on. Mobile computing technology will make the computer or other information intelligent terminal equipments transfer data and share resources in wireless environment.

Abstract: There are many defects in the traditional manufacturing and marketing mode of steel business such as poor connection and planning between manufacturing and marketing and imperfect quality management system. Based on an information system reformation project in a Iron and Steel Group Co, Ltd, system framework of manufacturing and marketing integration for iron and steel enterprise and its implementation points are presented and discussed in this paper.

Abstract: Manufacturing Execution System (MES) is a job-shop production oriented management information system and the bridge between production plan management layer and job-shop control layer in an enterprise. Job-shop scheduling is the core module of MES, which direct affects the efficiency of production and management in the enterprise. According to the characteristics of discrete production management, a job-shop production scheduling system is presented that adapts to multi-variety small-batch production. A MES architecture for dynamic discrete production and its core modules are presented. Then, dynamic job-shop production scheduling problem is visually modeled and simulated based on Witness to realize optimal resource deployment.

Abstract: The acquisition of data on the state of the production process is essential in the management of a company. The ERP system, as well as company management, should be continuously supplied with up-to-date information about the state of the production system, but in many cases there is a gap between the business and manufacturing layers of a company. Data on the state of production orders, machines, materials and human resources have to be automatically acquired, transmitted, archived, pre-processed and converted to a form compatible with business layer systems. There is a need for the development of methodology, describing methods of data acquisition and pre-processing directly from the shop floor. The methodology should be universal, covering the needs of different types of technological processes (discrete, continuous, batch), branches of industry and levels of production automation, etc. This paper presents the methodology of the development of Manufacturing Information Acquisition System (MIAS) covering needs for automated data acquisition, archiving and pre-processing systems, able to provide on-line production processes information for various clients. MIAS can be used as a link between data sources, MES/ERP systems and company management. Furthermore, it can be used as a stand-alone management information tool.