Ressourceneffizienz durch Digitalisierung*/Resource efficiency through digitisation. Potentials for SMEs in the manufacturing industry

2018 ◽  
Vol 108 (05) ◽  
pp. 319-324
Author(s):  
I. Bogdanov ◽  
A. Nuffer ◽  
A. Sauer
Keyword(s):  
Manufacturing Industry ◽  
State Of The Art ◽  
Manufacturing Sector ◽  
Resource Efficiency ◽  
Digitale Transformation ◽  
Case Study Analysis ◽  
Current State ◽  
Stand Der Technik ◽  
A Current

Der vorliegende Beitrag behandelt den Themenkomplex Ressourcen-effizienz und digitale Transformation im verarbeitenden Gewerbe sowie die dabei entstehenden Wechselwirkungen. Neben dem aktuellen Stand der Technik werden die im Rahmen einer aktuellen Studie durchgeführte Fallbeispielanalyse und die entwickelte Methodik zur Ermittlung der Ressourceneffizienzpotenziale vorgestellt. Diese Potenziale und die eingesetzten digitalen Maßnahmen sind zentrale Bausteine des vorliegenden Beitrags.   This article deals with the topic complex of resource efficiency and digital transformation in the manufacturing sector as well as the resulting interactions. In addition to the current state of the art and perspectives, the case study analysis carried out as part of a current study, as well as the developed method for establishing the resource efficiency potentials will be presented. The resultant potential and the digital measures are central components of this article.

Implementation of lean in IT SME company: an Italian case

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marco Torri ◽  
Kaustav Kundu ◽  
Stefano Frecassetti ◽  
Matteo Rossini
Keyword(s):  
Manufacturing Industry ◽  
Service Sector ◽  
Manufacturing Sector ◽  
Single Case ◽  
Value Added ◽  
Lean Implementation ◽  
Content Type ◽  
Italian Case ◽  
Lean Practices

Purpose In spite of huge advancement of Lean in the manufacturing sector, its advantage in the service sector is not fully investigated. The purpose of this paper is to cover this gap in particular for the information technology (IT) sector through the implementation of the Lean philosophy in a small- and medium-sized enterprise (SME), operating in the IT sector. Design/methodology/approach A case study is conducted and following the A3 model, Lean is deployed in the case company. Data were collected through on-site interviews, waste sources were identified and then countermeasures for their reduction were proposed and adopted. Findings This study reveals that the implementation of the Lean practices in an SME operating in the IT sector offers good operative and financial results, thanks to the higher productivity obtained through the reduction of non-value-added activities. Research limitations/implications This paper reports a single case study, not enough to generalize the results. Moreover, more Lean tools and practices should be tested in IT companies to assess their effectiveness. Practical implications This paper increments the knowledge base for the application of Lean and A3 model outside the manufacturing industry. This paper should assist practitioners and consultants who have the desire to understand a better way of Lean implementation in fast-growing IT industry and in SME. Originality/value Research on Lean implementation in an SME company and in IT sector is scarce. This study aims to assess the efficiency of the adoption of Lean practices following the A3 model. The results could be highly valuable for similar companies (dimension or sector), especially those that are facing transition situations in terms of size and at the same time want to improve their operations performance, efficiency and avoid waste.

Validierung einer optischen Drehmomentmessung*/Validation of an optical torque measurement

2017 ◽  
Vol 107 (09) ◽  
pp. 590-593
Author(s):  
T. Schneider ◽  
J. Wortmann ◽  
B. Eilert ◽  
M. Stonis ◽  
L. Prof. Overmeyer
Keyword(s):  
Measurement Method ◽  
Rotation Angle ◽  
State Of The Art ◽  
Torque Sensor ◽  
Torque Measurement ◽  
Research Project ◽  
Industrial Sectors ◽  
Current State ◽  
Stand Der Technik ◽  
Optical Torque

Das Erfassen von Drehmomenten durch Sensoren sowie das Erzeugen von Drehmomenten stellen eine wichtige Basis für viele Industriezweige dar. Im Rahmen eines Forschungsprojektes wurde ein optisches, berührungsloses Messverfahren zur absoluten Drehwinkel- und Drehmomentmessung entwickelt. Zum Vergleich mit dem aktuellen Stand der Technik wurde ein Versuchsstand aufgebaut sowie ein Referenzdrehmomentsensor eingesetzt. Die Ergebnisse dieser Validierung werden in diesem Fachaufsatz vorgestellt.   The measurement of torque via sensors as well as the generation of torque are the basis of many industrial sectors. Within a research project an optical and non-contact measurement method to detect the absolute rotation angle and torque was developed. For comparison with the current state of the art torque sensors a test stand was built and compared to a reference torque sensor. The results of this validation are presented in the present paper.

scholarly journals Variability and Uncertainty Analysis in Value Stream Mapping

2019 ◽  
Vol 8 (12S2) ◽  
pp. 533-538
Keyword(s):  
Lean Manufacturing ◽  
Value Stream Mapping ◽  
Strong Impact ◽  
Food Sector ◽  
Value Stream ◽  
Current State ◽  
Potential Risks ◽  
Tools And Techniques ◽  
A Current

Lately, value stream mapping (VSM) is integrated with tools and techniques that belong to other areas of knowledge such as risk management (RM). It is well known tool in showing the value, value stream and the flow which represents three of lean manufacturing (LM) principles. This integration, gives more benefit in covering two of VSM issues such as considering the variability and uncertainty of production processes. In this paper, a model named variable value stream mapping (V-VSM) that integrates the two was showed, explained and tested. The model helps to generate the VSM in a dynamic way with the identification of current and potential risks. These risks might happen in the future bringing a strong impact on not reaching the main objectives in the defined time and cost. The model has been tested by conducting a case study in food sector. A current state map was built using both models, traditional VSM and VVSM. The results showed the effect of variability and uncertainty on the total cycle time (CT) and lead time (LT) values, where the traditional VSM failed to show it by being a static tool. Comparing the results of both models show the differences in presenting the real state of manufacturing environment..

scholarly journals Decision-Making Framework For Small Business With Limited Available Capital

2021 ◽  
Author(s):  
Milad Around
Keyword(s):  
Decision Making ◽  
Small Business ◽  
Small Businesses ◽  
General Level ◽  
Working Capital ◽  
Financial Assessment ◽  
Current State ◽  
Business Entities ◽  
A Current

In the world of business special attention is paid to entrepreneurs for their potential and large corporations for their impact on the market. Due to this, small businesses often fall short of resources and tools to help them grow. The aim of this dissertation is to introduce a framework for decision making to small businesses as a tool to help embed more structure into their organization. The framework was then applied to two distinct case studies to display its functionality and usefulness. The framework consists of several steps: 1) corporate plan and financial assessment 2) a current state analysis 3) a quantitative and mathematical feasibility study of the decision The framework in each case study resulted in an objective and qualified decision. It also suggests that, due to the unique structure and characteristics of each small business, the framework proposed would only be relevant and applicable on a general level and more work is required to refine the details in order to be able apply it universally to business entities with limited working capital.

scholarly journals Progress in Cooling Nanoelectronic Devices to Ultra-Low Temperatures

2020 ◽  
Vol 201 (5-6) ◽  
pp. 772-802 ◽  
Author(s):  
A. T. Jones ◽  
C. P. Scheller ◽  
J. R. Prance ◽  
Y. B. Kalyoncu ◽  
D. M. Zumbühl ◽  
...  
Keyword(s):  
State Of The Art ◽  
Electronic Devices ◽  
Bulk Materials ◽  
Nanoelectronic Devices ◽  
Current State ◽  
Physical Effects ◽  
On Chip ◽  
Nanoscale Physics ◽  
A Current ◽  
Made In

AbstractHere we review recent progress in cooling micro-/nanoelectronic devices significantly below 10 mK. A number of groups worldwide are working to produce sub-millikelvin on-chip electron temperatures, motivated by the possibility of observing new physical effects and improving the performance of quantum technologies, sensors and metrological standards. The challenge is a longstanding one, with the lowest reported on-chip electron temperature having remained around 4 mK for more than 15 years. This is despite the fact that microkelvin temperatures have been accessible in bulk materials since the mid-twentieth century. In this review, we describe progress made in the last 5 years using new cooling techniques. Developments have been driven by improvements in the understanding of nanoscale physics, material properties and heat flow in electronic devices at ultralow temperatures and have involved collaboration between universities and institutes, physicists and engineers. We hope that this review will serve as a summary of the current state of the art and provide a roadmap for future developments. We focus on techniques that have shown, in experiment, the potential to reach sub-millikelvin electron temperatures. In particular, we focus on on-chip demagnetisation refrigeration. Multiple groups have used this technique to reach temperatures around 1 mK, with a current lowest temperature below 0.5 mK.

scholarly journals A RESTful middleware for AI controlled sensors, actuators and smart devices

2019 ◽  
Vol 11 (7) ◽  
pp. 2963-2986 ◽  
Author(s):  
Nikos Dipsis ◽  
Kostas Stathis
Keyword(s):  
Smart Home ◽  
Learning Algorithm ◽  
State Of The Art ◽  
Smart Devices ◽  
Machine Learning Algorithm ◽  
Concrete Case ◽  
Domain Specific ◽  
Sensor Actuator ◽  
Current State

Abstract The numerous applications of internet of things (IoT) and sensor networks combined with specialized devices used in each has led to a proliferation of domain specific middleware, which in turn creates interoperability issues between the corresponding architectures and the technologies used. But what if we wanted to use a machine learning algorithm to an IoT application so that it adapts intelligently to changes of the environment, or enable a software agent to enrich with artificial intelligence (AI) a smart home consisting of multiple and possibly incompatible technologies? In this work we answer these questions by studying a framework that explores how to simplify the incorporation of AI capabilities to existing sensor-actuator networks or IoT infrastructures making the services offered in such settings smarter. Towards this goal we present eVATAR+, a middleware that implements the interactions within the context of such integrations systematically and transparently from the developers’ perspective. It also provides a simple and easy to use interface for developers to use. eVATAR+ uses JAVA server technologies enhanced by mediator functionality providing interoperability, maintainability and heterogeneity support. We exemplify eVATAR+ with a concrete case study and we evaluate the relative merits of our approach by comparing our work with the current state of the art.

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