Manufacturing Execution System System Research Articles

How the implementation of a manufacturing execution system can improve shop floor management and increase productivity

This article seek to analyze and to describe the results obtained through the implementation of a Manufacturing Execution System (MES) and how this appliance can contribute to the improvement of the methodology Shop Floor Management (SFM) and increasing the productivity. The present case study was accomplished in a foundry company, the methodology used was the qualitative research with exploratory feature. Through the MES system and elements of methodology SFM, the organization of this case study can gather data and obtain information in real time of your productive resources, in this way the company can identify the main reasons of inefficiencies and take actions about them. The monitored sector obtains positive results in production management and significant increases in productivity.

Importance of the integrated manufacturing execution system for a metallurgical enterprise

The object of the study is Manufacturing Execution System. The relevance of the study is conditioned by the fact that the metallurgical industry has been demonstrating a high level of volatility in the global market over the past few years. The issue of the effectiveness of the metallurgical enterprise is directly related to ensuring environmental safety. The purpose of the study is to consider how the Manufacturing Execution System (MES) operates in the metallurgical industry and highlight its features, offering recommendations aimed at improving operational efficiency with the introduction of MES systems at enterprises of the metallurgical industry of the Republic of Kazakhstan. The following methods were used in the study: analysis, synthesis, comparison, graphical representation of data. Using the example of the Magnitogorsk Iron and Steel Works, the study examined the relationship between MES and APCS (Automated Process Control System), highlighted the requirements for the transition from individual management of particular cases of technological rules and restrictions to the digitization of general algorithms. It was defined that the advantages of a production system include its fast payback. Also, it was determined that the MES system allows automating production operations and information support, carrying out operational planning, accounting for production and quality of metal products, tracking the history of each product, managing equipment, and analyzing performance. In addition, the recommendations that can be used as a basis for creating an enterprise development program, increasing the level of productivity, therefore, reducing the cost of the enterprise's products, were developed

Design and Implementation of Cloud-Based Collaborative Manufacturing Execution System in the Korean Fashion Industry

Recently, manufacturing companies have been improving quality and productivity, reducing costs, and producing customized products according to Industry 4.0. The global value chain (GVC) is also being reorganized and manufacturing companies are recovering the connectivity of value chains based on, e.g., the regional value chain (RVC) and reshoring. With the advent of Industry 4.0, many manufacturing companies are introducing smart factories. A new type of manufacturing execution system (MES), a core system of smart factories, is necessary, owing to the new technologies and the increase in collaboration between companies. Here, we present the framework, development, and application processes of a “cloud-based collaborative MES System” to support the value chain of “order-design-production-delivery” for the manufacture of personalized sportswear products in the fashion industry in Korea. To this end, first, nine future MES deployment directions and frameworks are presented. Second, we present the UML modeling, conceptual framework, and functional framework for MES system development, considering six future MES establishment directions such as cloud and collaboration. Third, the application and effect of the designed and developed cloud-based collaborative MES system are analyzed for design, fabric, printing, and sewing companies that play a role in each stage of the sportswear value chain.

Project Implementation of Corporate Information Systems (ERP and MES) as a Guarantee for Increasing the Operational Efficiency of the Enterprise

This article delves into the intricacies of implementing corporate information systems, such as Enterprise Resource Planning (ERP) and Manufacturing Execution System (MES). It has been established that the implementation of ERP and MES ensures increased operational efficiency of the enterprise by automating various processes. Additionally, the MES system controls multiple production stages, from raw material input to finished product shipment, thereby reducing errors and increasing task execution speed. ERP and MES also facilitate data and information consistency between different departments, providing all levels of management access to the same company information, streamlining the decision-making process. Furthermore, ERP allows for the collection of data on finance, personnel, logistics, and production in one system, making the planning and decision-making process simpler. The MES system can be used to determine task execution time and distribute it among workers based on their skills and abilities. Lastly, ERP and MES enable companies to prioritize tasks, control their execution, automate processes, improve task execution quality and speed, and ensure data and information consistency between different departments. The article discusses the importance of corporate information systems (CIS) in modern companies with a priority of maintaining a competitive position. The key components of such a system are enterprise resource planning (ERP) and manufacturing execution systems (MES), which ensure the integrity, accuracy, and speed of data exchange between all company units. Implementing ERP and MES is a guarantee of increasing the company's operational efficiency in complex production conditions. CIS help companies ensure data and information unity between different departments, enabling quick and efficient decision-making processes.

Developing manufacturing execution system with predictive analysis

Digitalisation is currently developing in many sectors of the economy. The success of a manufacturing enterprise requires a transition to digital control of production and business processes, to the greatest extent possible without human intervention using artificial intelligence technologies. This research applies a Manufacturing Execution System (MES) with Predictive Analysis to an automatic production line (Chemical Line) which contains sensors, actuators and pumps controlled by four Programmable Logic Controllers, linked together, and being monitored through a Supervisory Control and Data Acquisition system. The production line composed of four different subsystems, responsible for filtration to bottling the chemical product. This paper tries to join the MES system with Artificial Neural Networks (ANN) in order to not only monitor the system but having predictive analysis to plan the future. In such way we will take advantage of the benefits of the ANN, such as Long-Short Term Memory architectures. The experimental data will be compared with other usual platforms, such as the Master SCADA itself, through the course of this research.

RFID Based Manufacturing Process of Cloud MES

RFID (radio frequency identification) is widely used in the manufacturing processes of enterprises. At the same time, with the advent of the Industry 4.0 era, Manufacturing Execution System (MES) systems began to evolve into cloud MES systems. In this paper, a RFID-based manufacturing process for cloud MES is proposed and a framework manufacturing process fora cloud MES system centered on machine tools is constructed. The process division of the manufacturing process, RFID configuration and cloud processing are analyzed, and other key technologies involved in implementing the framework are briefly discussed. Finally, the effectiveness of a RFID-based manufacturing process of cloud MES is verified by two different types of case analysis namely photovoltaic slice production and garment outsourcing processing.

A New Approach to MES System Deployment

The manufacturing sector requires prompt company’s responsiveness to optimize their competitiveness and improve their performance. In this context, the Manufacturing Execution System (MES) is a growth lever for Small and Medium-size Industries (SMI) that aim to implement a real-time base production management system in order to respond, properly and at the short term. It is also a guarantor to industries wishing to engage in the future industry. This system oversights all the events occurring during the production cycle. However, it has no systemic process to ensure its deployment within the SMI. In this paper, we propose a systemic approach to the MES deployment. Our approach is based on the BPMN modeling to ensure smooth communication among employees regardless of their profiles. In our approach, we will determine the appropriate MES functions based on the production value-added chain. Then, we develop a guideline that highlights a detailed requirements of workstation in harmony with its environment. The approach aims to measure the impact of MES on the company's performance.

디지털 컨버전스에서의 지능적 생산정보화에 관한 연구

Abstract In information society, Convergence was combined with a word ‘digital’. Digital convergence means a service or new product which appeared through fusion of unit technologies in information and communication regions. The effects of convergence technologies and social phenomenons are visualized in overall regions of society such as economy, society, culture, etc. Nowadays, manufacturing field are facing new challenges, through digital information and global integration, toward sophisticated production. This paper presents the system configuration and issues of current manufacturing execution system(MES), and describes major issues and solving elements to establish a MES system for cloud services. Also, we propose a method for building a manufacturing information system to have the optimized production flow and to respond appropriately to consumer market. Key Words : Convergence, MES, Production Information system. Cloud. Received 6 January 2014, Revised 7 February 2014Accepted 20 February 2014Corresponding Author: Dong-Woo Lee(Woosong University) Email: dwlee@wsu.ac.krⒸ The Society of Digital Policy & Management. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.otg/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is ISSN: 1738-1916 properly cited.

FPGA BASED OPC UA EMBEDDED INDUSTRIAL DATA SERVER IMPLEMENTATION

Contemporary computer systems used in the industry are characterized by both an increase in the scale of supported industrial processes measured by the number of control devices and the increasing demand for information describing the underlying processes measured by the number of tags used in Supervisory Control and Data Acquisition (SCADA) systems and Manufacturing Execution Systems (MES). Classical industrial data servers based on the PC architecture are unreliable, expensive to operate and difficult to manage. The alternative is a new standard OPC UA communication interface that simplifies the communication protocol and increases the flexibility of the process data description which allow for the direct implementation of OPC UA servers in embedded devices. This paper presents an innovative approaches in the field of industrial data servers which are used for communication between control systems and SCADA or MES systems. The prototype industrial data server architecture has been implemented, run and tested on the platform of embedded system based on FPGA matrix with built-in FPGA Microblaze processor. The presented experimental results allow to evaluate the applicability of the proposed solution, the limits of the presented architecture and may be used for the improvement of the embedded industrial data servers' structure in subsequent implementations.

Study on Distributed Architecture, Information Integration and Access Control of Manufacturing Execution System

This paper focus on issues of distributed architecture, information integration and access control of manufacturing execution system (MES). A conceptual model of distributed MES is introduced to cover the shortages of traditional MES in this paper, and it is a promising solution for traditional MES to achieve flexibility, integration and interoperability. Information integration method of MES and other information systems based on Web service and ontology is defined and investigated, and an implementation process of integration with MES and ERP via application integration service management system is presented to demonstrate the feasibility and validity of the proposed information integration method. Fuzzy trustworthiness-involved role based access control model (FT-RBAC) was proposed for access control of MES. Formalization expression for fuzzy trustworthiness-involved role based access control model is analyzed in detail. An algorithm of fuzzy trustworthiness-involved role based access control is developed to implement fine-grained security management and access control of MES. Fuzzy trustworthiness-involved role based access control model proposed in this paper not only can solve the problem of uncertainty, risk and vulnerability coming from authorization, but also has high flexibility and security.

Function Model of MES Oriented to Mechanical Blanking Workshop

Manufacturing Execution System (MES) is one of the crucial technologies that realizing the information integration for the enterprise, and its function modeling is the base of MES design and implementation. Basis on the analysis of the business process in mechanical blanking workshop and the functional requirements of MES system, the IDEF0 method was adopted to construct the function model of MES system oriented to mechanical blanking workshop, and a detailed description of the function modules and their relationship was given, which laid the foundation for the software development of the MES system.

Design and Implementation of Manufacturing Execution System (MES) for Automobile Main Gear Reducer Assembly Line

Because of low level of informatization in automobile main gear reducer assembly line, it is proper to put forward Manufacturing Execution system to monitor, control and manager the production assembly line. First, functional requirements and coverage of MES system is investigated. Second, function of the MES for automobile main gear reducer assembly line is described. Third, the results of implementation on the line are discussed. It is proved that the efficiency of assembly line and the field management can be improved using MES system.

Study on the System Architecture and Multi-View Implementation Mode for Service-Oriented Manufacturing Execution System

To solve the problems in manufacturing execution system (MES) design and application, two key issues for MES is studied in this paper. Firstly, a six-layered service-oriented MES system architecture is putforward, which includes enterprises resource layer, component layer, service layer, business process choreography layer, presentation layer and system integration framework layer. Secondly, a multi-view system implementation mode for MES is studied from the aspects of function view, organization view, supporting technologies view and implementation process view. Finally, a case study is provided for its application.

MES System Selection Decision-Making Approach for Automobile Parts Manufacturing Enterprises

The implementation and application of manufacturing execution system (MES) is an important way to improve the management level and realize information management for automobile parts manufacturing enterprises. System selection is the basis and prerequisite for MES implementation. Analytic hierarchy process (AHP) is applied in MES system selection in this paper based on the analysis of the MES system selection decision-making problem for automobile parts manufacturing enterprises. Firstly, the MES system selection decision indicators are established from the aspects of system technology performance, system suitability, quality of services and input-output of the MES system. On the basis, three solutions for MES system is analyzed and evaluated by AHP approach. The study of this paper provided a feasible solution for MES system selection decision-making.

Engineering change order processing in ERP systems: an integrated reactive model

Manufacturing execution system (MES) provides a common and single system to support most manufacturing processes. However, MES applications do not address all of the manufacturing execution processes required to replenish the supply chain while dynamically responding to unpredicted change and fall short of adding decision-making tools capabilities. To fill this gap, we propose a generic manufacturing execution platform that provides real-time decision support in reaction to disturbing events. More precisely, we demonstrate how this approach can support engineering change order processing in ERP-controlled environments. Our demonstrative example based on a real scenario in the aerospace industry illustrates how a genetic algorithm and a real-time discrete event simulation model can be integrated within an ERP and MES system platform. [Received 26 September 2008; Revised 23 April 2009; Accepted 6 December 2009]

Data model design for manufacturing execution system

PurposeSince the data model plays an important role in designing manufacturing execution system (MES) database, this paper seeks to provide a generic and adaptable data model for MES, which can facilitate and improve the MES development.Design/methodology/approachExtended entity‐relationship (EER) model technique is adopted to build the data model of MES.FindingsBased on MES functions and database requirement analysis, four subject's structures of MES database is abstracted from a system integration point of view. These four structures are independent relatively but also have close interrelation. Each structure is modeled with EER model.Research limitations/implicationsThe presented data model mainly focuses on discrete manufacturing MES, which perhaps limits its usefulness elsewhere, and the data model still need further testing in manufacturing enterprises with different scales.Practical implicationsA prototype MES system is developed and implemented, the results show that the proposed EER modeling approach can establish and make clear complex relationships among entities existed in a manufacturing system, which lays the foundation for adaptable and modular MES software development and implementation.Originality/valueThis paper fulfils a fundamental need of designing data model for MES and provides a main framework for developing MES data model, which provides reference for researches both in academia and industry to build specific relational data models for specific needs.

Blood Centers Adopt Manufacturing Practices To Ensure Quality, Consistency

Blood Centers Adopt Manufacturing Practices To Ensure Quality, Consistency

Design and implementation of virtual production lines for discrete automated manufacturing systems

A manufacturing execution system (MES) functions as the representative of an enterprise resource planner on the shop floor. The MES integration with a shop-floor control system while guaranteeing the manufacturing system with necessary flexibility and responsiveness is in a great demand. The concept of virtual production lines (VPL) is presented for providing such a solution. When this concept is implemented in the MES and shop-floor control system, both the software and hardware of an integrated manufacturing system can be modularized based on VPLs. It is modularization that makes the manufacturing system easily/quickly accommodate the change of a product mix.

Getting the MES model — methods for system analysis

The object model is an essential part of MES (Manufacturing Execution System). One very powerful approach to determining the model is based upon structured analysis. The knowledge and expertise about manufacturing operations resides in the minds of the production personnel and design engineers. The method described in this paper captures that knowledge in the form of a model for use in configuring the MES. The incremental nature of the modeling approach facilitates continuous improvement of the plant processes. The elements of the resulting model are used directly in the configuration of object oriented MES systems. By focusing on the essential elements of the manufacturing processes as related to the MES there is a significant savings in implementation costs. Operating costs are optimized by visualizing relevant plant information using graphical MES objects and Windows TM based MMI technology.

Technology…The enabler for tomorrow's agile enterprise

How many of you can retrieve what you need when you need it? Do you have ready access to critical real-time production information? How about historical information? Financial information? What about quality information? The information probably exists in many forms and at various locations throughout your organization - just not where and when you need it. A Manufacturing Execution System (MES) can be viewed as the glue that binds your business planning systems with your real-time process control systems (Fig. 1). An MES manages manufacturing and production operations according to your changing business plan and provides critical information feedback to facilitate the planning process. Key to understanding the requirement for information flow is understanding the relationships which exist between Business Planning Systems, MES and Control Systems. The functions often associated with MES are batch management, operations management, equipment management, materials management and quality and safety management. In today's rapidly changing and highly competitive business environment, the need to quickly adapt and respond to market opportunities while controlling manufacturing costs is critical to survival. As we adapt a high demand will be placed on the integration of planning, execution and control systems. This paper reviews the Distributed Control Systems (DCS) of the past and present, identifies changing business practices and new technology that will define the next generation of Open Control Systems (OCS), and provides insight into the choices you can make today that model your MES solution for tomorrow.