Manufacturing Systems

Digitization of Manual Manufacturing Processes

Digitization of Manual Manufacturing Processes

Flexibility and Quality Assurance through Smart Sensors and Smart Objects in Production
Jochen Seitz, André Hanak, Steffen Meyer
Requirements for efficiency in manufacturing processes are steadily increasing in global competition. Through digitization and data analytics, not only efficiency but also flexibility and quality are to be increased. Cyber-physical systems, which use smart sensors and communication with manufacturing systems to independently identify, document and control process steps, can help solve this problem. These can be attached to many types of tools and thus also capture manual work processes. This article shows how a smart object with communication and positioning functionality accompanies a product to be manufactured through the manufacturing process and how e.g. manual screwing processes are recorded and analyzed by smart sensors.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 4 | Pages 19-22
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
Discrete-Event Simulation in Industry 4.0

Discrete-Event Simulation in Industry 4.0

Fields of Action for the Industrial Digital Transformation
Sigrid Wenzel ORCID Icon, Jana Stolipin, Ulrich Jessen
Discrete-event simulation of logistics and production systems plays an important role in the context of digital transformation. Its integration into modern planning and control processes is urgently required in order to realize Industry 4.0 concepts. In addition, simulation models will be an important part of the so-called digital twin in the planning and operation. However, the requirements for simulation models and tools are not yet comprehensively defined, and technical solutions have not been adequately implemented. This article presents the fields of action for the implementation.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 3 | Pages 29-32
Ready for Industry 4.0?

Ready for Industry 4.0?

Standortbestimmung mit dem Maturity Index
Bertolt Gärtner
Many companies struggle to determine their own status and strategy when it comes to digitalization and self-organizing production. The Industry 4.0 Maturity Index offers a guideline in this process and helps to ensure future competitiveness. Using the multidimensional maturity model, companies can evaluate their status-quo and develop a roadmap to accelerate their digital development. The case study of a manufacturer of electrical connectivity solutions demonstrates how to reduce costs and increase productivity with the help of the Industry 4.0 Maturity Index.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 1 | Pages 59-62
Preventive Work Design in Digitized Industrial Systems

Preventive Work Design in Digitized Industrial Systems

A Cybernetic Design Approach using the Example of Intralogistics
Martin Braun ORCID Icon, Dirk Marrenbach ORCID Icon
In the course of digitization, the complexity and instability of business networks are considerably increasing. This has also serious effects on intralogistics. Under VUCA conditions, intralogistic systems develop into open, decentralized and self-organization networks of information-processing units. They adapt to the dynamic changes of their environment, by increasing their inner and outer varieties in a preventive manner. Digital technologies are not in a position to adequately control non-deterministic logistic systems; this task is essentially left to the working man. In order to overcome the challenges, appropriate models and methods of preventive work design are developed in the PREVILOG project. The paper presents cybernetic basics and preventive work design principles.
Industrie 4.0 Management | Volume 33 | 2017 | Edition 6 | Pages 38-42
Product Design as a Lever in the Agile Production

Product Design as a Lever in the Agile Production

Elaboration and Implementing of the Design-for-Agility Method in the Automobile Industry
Alexander Pointner, Nils-Christian Böhnke, Christian Ramsauer
Since the financial crisis, industrial companies need to deal with an increase of uncertainty and volatility. Therefore, the concept of agile production is discussed strongly as solution concept to react on this situation. Product design and its influences on an agile production is one important lever to increase agility. This article tries to focus on that topic and presents a Design-for-Agility approach.
Industrie 4.0 Management | Volume 33 | 2017 | Edition 6 | Pages 57-60
Integrated Order Planning for Multi-Variant Products

Integrated Order Planning for Multi-Variant Products

Generation, network allocation and customer matching of planned orders
Jens Bürgin, Han Hao, Gisela Lanza ORCID Icon, Hansjörg Tutsch
Medium-term order planning for the serial production of multi-variant products such as automobiles enables an integrated planning of procurement, production and sales as well as robust and optimized plans. In addition, continuity between medium-term and short-term planning can be achieved through a medium-term order basis. This article presents a planning methodology for the generation of planned orders to create a medium-term order basis, the assignment of planned orders to plants in a production network, and the assignment of incoming customer orders to planned orders.
Industrie 4.0 Management | Volume 33 | 2017 | Edition 5 | Pages 29-32
Levelling Production in the Process Industry

Levelling Production in the Process Industry

An Innovative Concept
Christopher Borgmann, Carsten Feldmann, Linus Hahn
There is a variety of empirically validated methods for implementing pull-systems in the manufacturing industry, but pull-based replenishment for the process industry remains a research gap. This article describes the development of a model for implementing a pull-system for an intracompany production network in the process industry and its validation in a case company.
Industrie 4.0 Management | Volume 33 | 2017 | Edition 5 | Pages 12-16
Approach for an Agile Modification Management in Plant Engineering

Approach for an Agile Modification Management in Plant Engineering

Alexander Gellermann, Alexander Fay ORCID Icon
Workflowmanagementsystems promise significant improvements for the modification management. Unfortunately, there is a lack of potential for optimisation because of the process characteristics in plant engineering projects. To close the gap it is necessary to create further requirements for an agile modification management. This article shows the important requirments and an approach for implementation.
Industrie 4.0 Management | Volume 33 | 2017 | Edition 3 | Pages 49-53
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