Modelle und Dienste für das Betriebsmanagement

atp magazin ◽  
2017 ◽  
Vol 59 (07-08) ◽  
pp. 44-52
Author(s):  
Martin Wollschlaeger ◽  
Oleksandr Bieliaiev ◽  
Thomas Bangemann ◽  
Max Weinmann
Keyword(s):  
Operations Management ◽  
Industrie 4.0 ◽  
Manufacturing Operations ◽  
Manufacturing Execution Systems ◽  
Manufacturing Execution

Die Aufgaben von Manufacturing Execution Systems werden in Industrie 4.0 weiter wachsen, hin zum übergreifenden Betriebsmanagement. Ein solches Manufacturing Operations Management ist ein wesentlicher Bestandteil eines Industrie-4.0-basierten Produktionssystems. Die für heutige MES definierten Funktionen und Interaktionsmechanismen müssen daher für Industrie 4.0 durch Definition von entsprechenden Teilmodellen und Diensten aufbereitet und in interoperabler Form bereitgestellt werden. Der Beitrag motiviert und diskutiert eine solche Ableitung von Industrie-4.0-konformen Teilmodellen und Diensten auf Basis der IEC/EN 62264.

scholarly journals Manufacturing operations management systems in small and medium business (discrete manufacturing)

2021 ◽  
Author(s):  
Michal Dic ◽  
Miriam Pekarčíková ◽  
Marek Kliment ◽  
Ján Kopec
Keyword(s):  
Operations Management ◽  
Simple Solution ◽  
Management Systems ◽  
Successful Implementation ◽  
Manufacturing Operations ◽  
Manufacturing Execution Systems ◽  
Discrete Manufacturing ◽  
Reduced Costs ◽  
Manufacturing Execution ◽  
Small And Medium Business

This article deals with Manufacturing Operations Management / Manufacturing Execution Systems for Small and Medium Business as specific type of companies. Many times, those companies do not have resources to follow full complexity of Manufacturing Operations managements system and need to select only products which they are forced to have due to internal or external regulations. Rest of the product are many times either substitute with simple solution like spreadsheets or not present at all. Successful implementation of each of those products means significant improvement in quality, reduced costs or higher efficiency.

Model Driven Key Performance Indicators Concepts for Manufacturing Execution Systems

2012 ◽  
Vol 245 ◽  
pp. 173-178 ◽  
Author(s):  
Thomas Schulz ◽  
Andrei Chelaru
Keyword(s):  
Production Process ◽  
Operations Management ◽  
Performance Indicators ◽  
Production Control ◽  
Key Performance Indicators ◽  
Model Driven ◽  
Manufacturing Operations ◽  
Manufacturing Execution Systems ◽  
Definition Of ◽  
Manufacturing Execution

The intention of this paper is to give some methodical approach in Key Performance Indicators for Manufacturing. Within this it covers the defining of Key Performance Indicators (KPI) and Manufacturing Execution Systems (MES). The purpose is to analyze the influences of equipment, personnel and inventory to the production process and how to apply them in making decisions. This paper gives an overview about definition of Manufacturing Execution Systems (MES) and the area of standardization of object models. The KPI for the manufacturing operations management include the areas personnel, equipment, inventory and production process. It contains also a collection of key performance indicators (KPI) to be used in the area of production control and monitoring to assess and define the targets of production processes.

scholarly journals Manufacturing Execution System = “Empowerment”

2001 ◽  
Author(s):  
Jim Ricker
Keyword(s):  
Real Time ◽  
Inventory Management ◽  
Operations Management ◽  
Manufacturing Industry ◽  
Customer Relationship ◽  
Manufacturing Execution System ◽  
Planning And Scheduling ◽  
Manufacturing Operations ◽  
Advanced Planning ◽  
Manufacturing Execution

Today’s e-Commerce systems are applying pressure on the manufacturing industry. Shorter lead times, smaller production runs, just-in-time inventory and build-to-order are all manufacturing operations’ nightmares. Worse, with ERP, CRM, APS and SCM, each application provides significant content but it is very difficult to make them all work together. The Manufacturing Execution System is the glue that turns all the pieces of the puzzle into one solid solution. Manufacturing Execution System accomplishes this by becoming the source of real-time production/fulfillment data and the central data source. Manufacturing Execution System applications effectively fall into the following areas: _ Enterprise system integration _ Production tracking w/genealogy _ Real-time Inventory Management _ Manufacturing operations management * (ERP - enterprise resource management, CRM - customer relationship management, APS - advanced planning and scheduling, SCM - supply chain management). Paper published with permission.

A Practical Approach to Manufacturing Execution Systems at Bosch AvP

2019 ◽  
pp. 224-244
Author(s):  
Maria João Lopes ◽  
Duarte Almeida ◽  
Francisco J. A. Cardoso
Keyword(s):  
Supply Chain ◽  
Industry 4.0 ◽  
Theoretical Concept ◽  
Shop Floor ◽  
Chain Management ◽  
Manufacturing Operations ◽  
Manufacturing Execution Systems ◽  
Hands On ◽  
The Impact ◽  
Manufacturing Execution

With Industry 4.0 related initiatives, a brand new array of opportunities has emerged for organizations to face the ordeals that come with managing ever-growing manufacturing needs. The exponential increase in the complexity of supply chain management has put a real strain on manufacturing operations. In order to succeed, organizations must turn to solutions such as manufacturing execution systems (MES) in order to stay competitive. In this research chapter, we discuss the impact of MES in organizations, whilst describing the process for going from a theoretical concept to a hands-on system which runs the shop floor operations.

Ableitung von Industrie 4.0-Modellen und -Diensten für Manufacturing Operations Management

2017 ◽  
pp. 107-108
Author(s):  
M. Wollschlaeger ◽  
M. Weinmann ◽  
T. Bangemann ◽  
O. Bieliaiev
Keyword(s):  
Operations Management ◽  
Industrie 4.0 ◽  
Manufacturing Operations

scholarly journals Manufacturing Execution Systems: Examples of Performance Indicator and Operational Robustness Tools

2016 ◽  
Vol 70 (9) ◽  
pp. 616-620
Author(s):  
Yannick Gendre ◽  
Gérard Waridel ◽  
Myrtille Guyon ◽  
Jean-François Demuth ◽  
Hervé Guelpa ◽  
...  
Keyword(s):  
Performance Indicator ◽  
Manufacturing Execution Systems ◽  
Manufacturing Execution

Fault Diagnosis and Reliability Growth for Information System

2014 ◽  
Vol 590 ◽  
pp. 763-767
Author(s):  
Zhi Hui Huang
Keyword(s):  
Information System ◽  
Bayesian Network ◽  
System Reliability ◽  
Functional Module ◽  
Decision Problems ◽  
Reliability Growth ◽  
Failure Data ◽  
Manufacturing Execution Systems ◽  
Growth Planning ◽  
Manufacturing Execution

This paper aiming at the zero-failure data and uncertain-decision problems exist in the information system reliability growth process, it proposes to build the Bayesian network topology of FMEA. It adopts Leaky Noisy-OR model, and it analyses the probability that the subsystem functional module will go wrong in quantity. It solves the problem of identifying the vague and incomplete information exists in the complex system rapidly and accurately, laying the foundation for further study of the reliability growth comprehensive ability assessment of system based on the Bayesian network. In this paper, on the background of Manufacturing Execution Systems (MES) engineering, aimed at research on models and evaluation methods of reliability growth for MES, enclosing reliability of MES task and design target, reliability growth test and analysis methods, it proposes the goal of MES reliability growth planning.

Does Water Scarcity Affect Environmental Performance? Evidence from Manufacturing Facilities in Texas

2021 ◽  
Author(s):  
Suresh Muthulingam ◽  
Suvrat Dhanorkar ◽  
Charles J. Corbett
Keyword(s):  
Water Scarcity ◽  
Operations Management ◽  
Environmental Performance ◽  
Data Set ◽  
Full Sample ◽  
Toxic Releases ◽  
Manufacturing Operations ◽  
Toxic Emissions ◽  
Manufacturing Facilities ◽  
The Impact

It is well known that manufacturing operations can affect the environment, but hardly any research explores whether the natural environment shapes manufacturing operations. Specifically, we investigate whether water scarcity, which results from environmental conditions, influences manufacturing firms to lower their toxic releases to the environment. We created a data set that spans 2000–2016 and includes details on the toxic emissions of 3,092 manufacturing facilities in Texas. Additionally, our data set includes measures of the water scarcity experienced by these facilities. Our econometric analysis shows that manufacturing facilities reduce their toxic releases into the environment when they have experienced drought conditions in the previous year. We examine facilities that release toxics to water as well as facilities with no toxic releases to water. We find that the reduction in total releases (to all media) is driven mainly by those facilities that release toxic chemicals to water. Further investigation at a more granular level indicates that water scarcity compels manufacturing facilities to lower their toxic releases into media other than water (i.e., land or air). The impact of water scarcity on toxic releases to water is more nuanced. A full-sample analysis fails to link water scarcity to lower toxic releases to water, but a further breakdown shows that manufacturing facilities in counties with a higher incidence of drought do lower their toxic releases to water. We also find that facilities that release toxics to water undertake more technical and input modifications to their manufacturing processes when they face water scarcity. This paper was accepted by David Simchi-Levi, operations management.

Die synchrone Produktion*/Synchronous manufacturing - An approach for semi-autonomous production planning and control and human-based decision support

2015 ◽  
Vol 105 (04) ◽  
pp. 204-208
Author(s):  
D. Kreimeier ◽  
E. Müller ◽  
F. Morlock ◽  
D. Jentsch ◽  
H. Unger ◽  
...  
Keyword(s):  
Decision Support ◽  
Real Time ◽  
Production Planning ◽  
Data Exchange ◽  
Production Control ◽  
Production Planning And Control ◽  
Planning And Control ◽  
Manufacturing Execution Systems ◽  
And Control ◽  
Manufacturing Execution

Kurzfristige sowie ungeplante Änderungen – wie Auftragsschwankungen, Maschinenausfälle oder Krankheitstage der Mitarbeiter – beeinflussen die Produktionsplanung und -steuerung (PPS) von Industriefirmen. Trends wie Globalisierung und erhöhter Marktdruck verstärken diese Probleme. Zur Komplexitätsbewältigung bei der Entscheidungsfindung zur Fertigungssteuerung kommen in der Produktion Werkzeuge der „Digitalen Fabrik“, beispielsweise Simulationsprogramme, oder IT (Informationstechnologie)-Lösungen, wie Manufacturing Execution Systems (MES), zum Einsatz. Eine Verknüpfung dieser Bereiche würde einen echtzeitfähigen Datenaustausch erlauben, der wiederum eine echtzeitfähige Entscheidungsunterstützung bietet. Der Fachbeitrag stellt hierfür einen Lösungsansatz vor.   Sudden and unsystematic changes, such as fluctuations in order flow, machine failures, or employee sick days affect the Production Planning and Control (PPC) activities of industrial companies. Trends like globalization and increased market pressure intensify these problems. To master the complexity of decision-making in production control, tools of the digital factory (e.g. simulation systems) or IT systems (e.g. Manufacturing Execution Systems (MES)) are applied in manufacturing. Combining these areas would enable real-time capable data exchange which, in turn, provides real-time capable decision support. This article presents an approach for solving this problem.

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