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Today, energy efficiency in production systems has partially been achieved on the component level, but methods are missing for the energy optimal operation of plants, machines and components. We therefore, propose a novel generic method to model the energy consumption behaviour of machines and plants based on a statistical discrete event formulation. It is lean, integrative and scalable and can be used directly in planning processes to make predictions of the energy consumption of different configurations in different scenarios based on any amount of available information. Using the modelling framework, we introduce applications in real-time, tactical and strategic decision making processes that make it possible to exploit the potential for energy consumption minimisation of any given machine or production system while obeying conflicting general conditions.

If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -This review will describe the development of the Bionic Handling Assistant as well as the additive manufacturing (AM) process of robot grippers and its possibilities. Design/methodology/approach -AM offers the chance to use the additive processes to produce highly flexible automation parts and systems as the Bionic Handling Assistant in small and medium quantities that can utilize a lot of design advantages provided by the process. Findings -A lot of products of today and especially tomorrow could be produced by rapid manufacturing. New categories of products, such as the Bionic Handling Assistant, will occur. Originality/value -In the paper, aspects of a visionary scenario for future productions are shown and demonstrated on the Bionic Handling Assistant.