Design

Lean-Management and Industry 4.0

Lean-Management and Industry 4.0

Warum Lean-Management eine solide Grundlage für die vierte industrielle Revolution darstellt
Tobias Fischer, Jürgen Köbler
Why Lean-Management is the solid basis for the fourth industrial revolution: The fourth industrial revolution seems to be the current issue number one. Apart from that well-known consultancies determine a not satisfactory level of implementation concerning Lean methods. The question rises to what extent the implementation of Lean Methods is useful for the introduction of industry 4.0 or if these methods can even be seen as a precondition. Therefore, all common Lean principles and methods were contrasted with the principles and technologies of the industry 4.0. In conclusion, Lean Management is a solid basis for the successful implementation of the fourth industrial revolution for the production of the future. Lean Management can finally be seen as the essential precondition.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 6 | Pages 53-55 | DOI 10.30844/I40M_18-6_53-55
Environmental Aspects of Vendor Managed Inventory

Environmental Aspects of Vendor Managed Inventory

Gökhan Cenk ORCID Icon, Emre Kayadelen, Philipp Kürner, Marius Schultenkämper, Dieter Uckelmann ORCID Icon
The economic and environmental impacts of globalization are forcing companies to form their supply chain more efficient. Vendor Managed Inventory (VMI) is a widely used concept that is primarily implemented because of its cost savings. Based on a comprehensive survey in the logistics industry in Germany, this study provides sustainable and ecological recommendations for companies planning or already working daily with VMI.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 6 | Pages 56-60 | DOI 10.30844/I40M_18-6_56-60
Measurement of the Filling Level of Trailers Used in Local Transport

Measurement of the Filling Level of Trailers Used in Local Transport

An overview of existing technologies and a practical test with ultrasonic sensors in automotive logistics
Till Becker, Thorben Funke, Joshua Coordes
In transport logistics the utilization of transports is often unknown. As a consequence it is not possible to use this information during the transport planning phase and it cannot be used for operational transport control. This report describes technologies which can measure the utilization of shipping spaces. Due to the lack of market-ready systems, a new system was developed that uses ultrasonic sensors to determine the transport utilization. The system was built on a trailer and was tested during live operation. It was shown that the system fulfills the given requirements and it is suggested to expand the tests.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 5 | Pages 29-32 | DOI 10.30844/I40M18-5_29-32
Characteristic of Intelligent Objects in a Digitized Logistics

Characteristic of Intelligent Objects in a Digitized Logistics

Marcus Lewin, Alexander Fay ORCID Icon
As a result of digitization, logistics objects and systems are increasingly being equipped with information and communication technologies, which is accompanied by new functionalities. Such smart objects enable a high-resolution representation of processes within a supply chain and support their control. At the same time, the variations in the technical design and integration are increasing. For the handling of complexity, an approach for a systematic structuring of objects in logistics with regard to function, structure and dependencies is presented.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 5 | Pages 21-24 | DOI 10.30844/I40M18-5_21-24
Digital Lean – The Crossroads-Model for Controlling Material Flows in Production and Logistics Systems

Digital Lean - The Crossroads-Model for Controlling Material Flows in Production and Logistics Systems

Erklärung und Auswahl von Steuerungsansätzen für Produktions- und Logistiksysteme in Zeiten der Digitalisierung
Carsten Feldmann, Ralf Ziegenbein
Methods for monitoring and controlling material flows in a production or logistics system should support objectives like costs and throughput-time. Lean focuses on decentral, demand-driven steering of activities. Advanced manufacturing concepts for Smart Factories rely on innovative digital technologies. Which method is the best fit for steering the material flow? The Crossroads-Model explains different approaches and supports the selection of a suitable method for corporate practice.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 5 | Pages 33-38 | DOI 10.30844/I40M18-5_33-38
Food for thought – Introduction for Food Industry 4.0

Food for thought - Introduction for Food Industry 4.0

Severin Weiss
Implementing Industry 4.0 as the digital Agenda in all manufacturing industries and thereby increasing the competitiveness is a matter of course and clearly also applicable for the food and beverage industry. With altering customer behaviours, legal requirements as well as the increasing specialization, the industrial sectors are facing continuous challenge. Even though the automation of facilities in many cases is already put into practice, the structured integration into a holistic data concept is often missing. Through the digital networking of all processes, innovative solutions are on offer. What does Industry 4.0 mean for the food and beverage industry, where the opportunities lie and which specific implementation measures are available is subject to this article.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 5 | Pages 55-58 | DOI 10.30844/I40M18-5_55-58
Social Networks in Logistics and Industry 4.0

Social Networks in Logistics and Industry 4.0

The Usage of Social Networks for Communication Enhances Production and Logistics
Anuschka Huber, Helen Mödinger, Dieter Uckelmann ORCID Icon
Fast-pacing technologies force companies to improve their flexibility. Fluctuating demand and volatile markets require high reactivity. Due to Industry 4.0 and globalization, communication in companies is becoming increasingly important. Social networks can be used to improve the efficiency of in-house communication and create a connection to partners and customers. This paper discusses how social networks can support corporate communication internally as well as externally, with a focus on logistics and production. In this context, practical examples are shown and a self-developed model is presented.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 5 | Pages 51-54 | DOI 10.30844/I40M18-5_51-54
SupplyOn – Data Interchange within Networks in the Supplying Industry

SupplyOn - Data Interchange within Networks in the Supplying Industry

Netzwerk für den elektronischen Datenaustausch in der Zulieferindustrie
Dietlind Ruoff, Patricia Srsa, Dieter Uckelmann ORCID Icon
In the last years, e-business and networking between companies has become an increasingly important aspect. Simultaneously with e-business, electronic data interchange has evolved and supported network formation. According to the large number of supplier platforms, like SupplyOn, the traditional 1:1 EDI communication between manufacturer and supplier is no longer the only way of interaction. The present article describes this development detailed and deals with different possibilities of data interchange just as the comparison to classical EDI.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 5 | Pages 25-28 | DOI 10.30844/I40M18-5_25-28
Bionic Inspired Structures Based on Smart Materials

Bionic Inspired Structures Based on Smart Materials

Creating systems with low complexity but high functionality
Welf-Guntram Drossel, Holger Kunze, Martin Ettrichrätz
Functional materials, so called smart materials, have the ability to adapt to external environmental conditions i.e. they are able to change their properties through external physical stimuli so that, they are optimally adapted to their surroundings. These processes are accompanied by energy conversion processes. These properties predestine smart materials to act as sensors and actuators. They enable high functionality in simplified structures, already on the material level. Therewith, a new and better quality can be achieved in product design.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 4 | Pages 15-18 | DOI 10.30844/I40M_18-4_15-18
Special Software Systems for Detailed Production Planning MES or APS Systems

Special Software Systems for Detailed Production Planning MES or APS Systems

Support the Operational Production Planning and Control in Industrial Companies
Ronny-Alexander Koch, Thomas Rücker, Herfried M. Schneider, Sören Stodt
The large number of systems offered on the market makes a well-founded selection process necessary from the requirement survey to the final system selection. A comprehensive model that systematically supports and simplifies this process is the subject of this two-part article. The methodology goes beyond a questionnaire-based query and verifies system capabilities using structured case studies. The first part of the article [1] describes the process steps from the survey and collection of requirements of the customer to the system to their structuring in customer specifications. The present second part outlines the process steps of the system rough selection up to its fine selection. The individual selection steps are methodically supported by practical references as well as by the use of concrete tools. Using the described methodology selected systems can be objectively compared - a prerequisite for effective and efficient system selection for industrial companies.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 4 | Pages 57-61 | DOI 10.30844/I40M_18-4_57-61
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