Manufacturing Execution System Design Using ISA-95

2014 ◽  
Vol 980 ◽  
pp. 248-252 ◽  
Author(s):  
Rajesri Govindaraju ◽  
Kristianto Lukman ◽  
Dissa R. Chandra
Keyword(s):  
Information Systems ◽  
Enterprise Resource Planning ◽  
Reference Model ◽  
Resource Planning ◽  
Point Of View ◽  
Manufacturing Execution System ◽  
Industry Standard ◽  
Automation Systems ◽  
Increase Productivity ◽  
Manufacturing Execution

Manufacturing execution system is information systems (IS) that bridges the gap between IS at the top level, namely enterprise resource planning (ERP) nd IS at the lower levels, namely the automation systems. MES has been reported to increase productivity, maintain product quality, and reduce production time. However, the advantage is obtained if MES is integrated smoothly with the other systems. Currently there is an industry standard, ISA-95, which can be used as a reference model in the process of integrating MES with ERP and automation systems. This study was undertaken to propose a methodology for MES design utilizing ISA-95 standard.The methodology is designed considering the objectives of MES development from a point of view manufacturing system and also from the point of view of information systems. Thus, challenges from two domains, namely business (manufacturing) domain and technology (IS domain) are both considered in the development of the methodology.

Dezentrale Produktionsprozesse messbar machen

2021 ◽  
Vol 2021 (1) ◽  
pp. 25-28
Author(s):  
Hanna Theuer ◽  
Keyword(s):  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Industrie 4.0 ◽  
Planning System ◽  
Manufacturing Execution System ◽  
Enterprise Resource Planning System ◽  
Manufacturing Execution

Ein entscheidendes Merkmal von Industrie 4.0 ist die dezentrale Produktionssteuerung. Hier wird die Entscheidungsfindung nicht mehr nur durch ein zentrales System – beispielsweise einem Manufacturing Execution System (MES) oder einem Enterprise Resource Planning System (ERP) – sondern durch eine Vielzahl von Personen und Objekten getroffen, die am Prozess beteiligt sind. Die Kommunikationsstruktur dieser Objekte zu analysieren, ist eine Möglichkeit die Dezentralität zu bewerten.

Customer Relationship Management (CRM) Metrics - What's the Holdup?

2011 ◽  
pp. 1679-1685
Author(s):  
Timothy Shea ◽  
Ahern Brown ◽  
D. Steven White ◽  
Catherine Curran-Kelly ◽  
Michael Griffin
Keyword(s):  
Information Systems ◽  
Enterprise Resource Planning ◽  
Business Strategy ◽  
Relationship Management ◽  
Resource Planning ◽  
Customer Relationship ◽  
Enterprise Information ◽  
Enterprise Information Systems ◽  
Industry Standard ◽  
Development Application

Adopting a focus on CRM has been an industry standard for nearly two decades. While evidence suggests that a majority of the attempts to implement CRM systems fail, no single reason for the failures has been identified. Assuming that CRM implementation is an extension of a customer-oriented business strategy and assuming successful integration with Enterprise Information Systems such as Enterprise Resource Planning (ERP) systems, the authors contend that the lack of valid and reliable CRM metrics leads to the perception of failed CRM implementation. Only through the development, application, and use of CRM metrics can organizations hope to achieve their CRM goals.

Customer Relationship Management (CRM) Metrics

2009 ◽  
pp. 311-317
Author(s):  
Timothy Shea ◽  
Ahern Brown ◽  
D. Steven White ◽  
Catharine Curran-Kelly ◽  
Michael Griffin
Keyword(s):  
Information Systems ◽  
Enterprise Resource Planning ◽  
Business Strategy ◽  
Relationship Management ◽  
Resource Planning ◽  
Customer Relationship ◽  
Enterprise Information ◽  
Enterprise Information Systems ◽  
Industry Standard ◽  
Development Application

Adopting a focus on CRM has been an industry standard for nearly two decades. While evidence suggests that a majority of the attempts to implement CRM systems fail, no single reason for the failures has been identified. Assuming that CRM implementation is an extension of a customeroriented business strategy and assuming successful integration with Enterprise Information Systems such as Enterprise Resource Planning (ERP) systems, the authors contend that the lack of valid and reliable CRM metrics leads to the perception of failed CRM implementation. Only through the development, application, and use of CRM metrics can organizations hope to achieve their CRM goals.

Customer Relationship Management (CRM) Metrics

2011 ◽  
pp. 2345-2351
Author(s):  
Timothy Shea ◽  
Ahern Brown ◽  
D. Steven White ◽  
Catherine Curran-Kelly ◽  
Michael Griffin
Keyword(s):  
Information Systems ◽  
Enterprise Resource Planning ◽  
Business Strategy ◽  
Relationship Management ◽  
Resource Planning ◽  
Customer Relationship ◽  
Enterprise Information ◽  
Enterprise Information Systems ◽  
Industry Standard ◽  
Development Application

Adopting a focus on CRM has been an industry standard for nearly two decades. While evidence suggests that a majority of the attempts to implement CRM systems fail, no single reason for the failures has been identified. Assuming that CRM implementation is an extension of a customeroriented business strategy and assuming successful integration with Enterprise Information Systems such as Enterprise Resource Planning (ERP) systems, the authors contend that the lack of valid and reliable CRM metrics leads to the perception of failed CRM implementation. Only through the development, application, and use of CRM metrics can organizations hope to achieve their CRM goals.

Perspectives on Reference Modeling

2011 ◽  
pp. 1-21 ◽  
Author(s):  
Peter Fettke ◽  
Peter Loos
Keyword(s):  
Information Systems ◽  
Enterprise Resource Planning ◽  
Reference Model ◽  
Resource Planning ◽  
Systems Development ◽  
Information Systems Development ◽  
Future Research ◽  
Reference Models ◽  
Reference Modeling ◽  
Business Engineering

Conceptual models play an increasingly important role in all phases of the information systems life cycle. For instance, they are used for business engineering, information systems development, and customizing of Enterprise Resource Planning (ERP) systems. Despite conceptual modeling being a vital instrument for developing information systems, the modeling process often is resource-consuming and faulty. As a way to overcome these failures and to improve the development of enterprise-specific models, the concept of reference modeling has been introduced. A reference model is a conceptual framework and may be used as a blueprint for information systems development. In this Chapter, we seek to motivate research on reference modeling and introduce the chapters of this book on using reference models for business systems analysis. Our discussion is based on a framework for research on reference modeling that consists of four elements: reference modeling languages, reference modeling methods, reference models, and reference modeling context. Each element of the framework is discussed with respect to prior research, the contributions of chapters in this book, and future research opportunities.

scholarly journals Quality Improvement of Product Data Exchanged Between Engineering and Production Through the Integration of Dedicated Information Systems

2012 ◽  
Author(s):  
Anis Ben Kheder ◽  
Sébastien Henry ◽  
Abdelaziz Bouras
Keyword(s):  
Information Systems ◽  
Enterprise Resource Planning ◽  
Methodological Approach ◽  
Resource Planning ◽  
Product Lifecycle Management ◽  
Planning System ◽  
Manufacturing Execution System ◽  
Quality Of Data ◽  
Related Information ◽  
Data Heterogeneity

Today, within the global Product Lifecycle Management (PLM) approach, success of design, industrialization and production activities depends on the ability to improve interaction between information systems that handle such activities. Enterprises deploy mainly PLM system, Enterprise Resource Planning system (ERP) and Manufacturing Execution System (MES) in order to manage sufficient product-related information and provide better customer-products. This paper proposes a methodological approach to improve the quality of data exchanged between engineering and production. This involves the integration among information systems especially the PLM-MES integration. Thus, the proposed approach aims to overcome the problem of data heterogeneity by proposing a mediation system resolving syntactic and semantic conflicts of data managed by these systems.

scholarly journals A negyedik ipari forradalom hatása az élelmiszeriparra : Perspektívák és gátló tényezők

2021 ◽  
Vol 11 (3) ◽  
pp. 86-93
Author(s):  
Dorina Vachter ◽  
Tamás Bányai
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Manufacturing Execution System ◽  
Chain Management ◽  
Manufacturing Execution

A negyedik ipari forradalom a gazdaság számos területén érezteti hatását. Találkozhatunk vele a gyártás/ellátás vizualizáció alkalmával, az ellátási lánc-, készlet és termeléstervezés optimalizálása közben, valamint az ERP (Enterprise Resource Planning- vállalatirányítási rendszer), MES (Manufacturing Execution System - gyártás végrehajtási rendszer) és SMC (Supply Chain Management- ellátási lánc menedzsment) használata közben is. Az élelmiszeriparban is új lehetőségeket teremt a fejlődésre, a hatékonyság növelésére, valamint a rendelkezésre álló kapacitások magasabb szinten történő kihasználására. Jelen cikk keretében a szerzők ismertetik az Ipar 4.0 helyzetét az élelmiszeriparban, illetve bemutatják az élelmiszeripar digitalizációjának felmérése által adódott eredményeket szakirodalmi források felhasználásával. Továbbá tárgyalják az élelmiszeripart érintő kihívásokat, illetve felvázolják az Élelmiszeripari Fejlesztési Stratégia főbb tartalmi elemeit. A cikk utolsó részében ismertetésre kerülnek az élelmiszeripar fejlődését gátló tényezők.

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