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"Machine industry"
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Artificial intelligence and machine learning for industry 4.0
Essential for any leader seeking to understand how to leverage intelligent automation and predictive maintenance to drive innovation, enhance productivity, and minimize downtime in their manufacturing processes. Intelligent automation is widely considered to have the greatest potential for Industry 4.0 innovations for corporations. Industrial machinery is increasingly being upgraded to intelligent machines that can perceive, act, evolve, and interact in an industrial environment. The innovative technologies featured in this machinery include the Internet of Things, cyber-physical systems, and artificial intelligence. Artificial intelligence enables computer systems to learn from experience, adapt to new input data, and perform intelligent tasks. The significance of AI is not found in its computational models, but in how humans can use them.
BOOK
New formulation and valid inequalities for a periodic capacitated vehicle routing problem with multiple depots, heterogeneous fleet, and hard time-windows
This paper presents a new formulation and valid constraints for a periodic capacitated vehicle routing problem with multiple depots, heterogeneous fleet, and hard time-windows (MDHFPCVRP-TW). The problem raises from a real-world application in the vending machine industry in Medellín, Colombia. Our main contribution is a novel formulation that replaces binary depot-client assignment variables with continuous auxiliary variables and implements depot replication, achieving both model simplicity and computational efficiency. We introduce preprocessing techniques and valid constraints, particularly focusing on capacity-based constraints with client combinations, which significantly strengthen the formulation’s linear relaxation. Computational experiments demonstrate that our formulation consistently outperforms previous approaches across different instance sizes, achieving optimality for small instances and maintaining single-digit optimality gaps for medium-sized instances where earlier formulations showed gaps above 12%. The formulation shows particularly strong performance in solution time, often requiring less time to find feasible solutions. While limitations persist for very large instances, our results suggest promising directions for developing hybrid exact-heuristic methods for industrial-scale problems.
Journal Article
A Real-Time Application for the Analysis of Multi-Purpose Vending Machines with Machine Learning
With the development of mobile payment, the Internet of Things (IoT) and artificial intelligence (AI), smart vending machines, as a kind of unmanned retail, are moving towards a new future. However, the scarcity of data in vending machine scenarios is not conducive to the development of its unmanned services. This paper focuses on using machine learning on small data to detect the placement of the spiral rack indicated by the end of the spiral rack, which is the most crucial factor in causing a product potentially to get stuck in vending machines during the dispensation. To this end, we propose a k-means clustering-based method for splitting small data that is unevenly distributed both in number and in features due to real-world constraints and design a remarkably lightweight convolutional neural network (CNN) as a classifier model for the benefit of real-time application. Our proposal of data splitting along with the CNN is visually interpreted to be effective in that the trained model is robust enough to be unaffected by changes in products and reaches an accuracy of 100%. We also design a single-board computer-based handheld device and implement the trained model to demonstrate the feasibility of a real-time application.
Journal Article
Fabricating consumers
Since its early days of mass production in the 1850s, the sewing machine has been intricately connected with the global development of capitalism. Andrew Gordon traces the machine's remarkable journey into and throughout Japan, where it not only transformed manners of dress, but also helped change patterns of daily life, class structure, and the role of women. As he explores the selling, buying, and use of the sewing machine in the early to mid-twentieth century, Gordon finds that its history is a lens through which we can examine the modern transformation of daily life in Japan. Both as a tool of production and as an object of consumer desire, the sewing machine is entwined with the emergence and ascendance of the middle class, of the female consumer, and of the professional home manager as defining elements of Japanese modernity.
eBook
The impact of family ownership on innovation: evidence from the German machine tool industry
There has been much debate concerning the innovative output of family-owned and non-family-owned companies. The purpose of this study was to show that the impact of family ownership differs depending on important governance conditions. Drawing on secondary data from the German machine tool industry from 2000 to 2010, we show that it is not family ownership per se that drives or impedes innovation in terms of the number of patents granted to a firm. Increases in the degree of family ownership and the generation of the family reduce the innovative output, whereas dedicated family business institutions nurture it. We discuss the implications of our findings for research and management.
Journal Article
Experiences, Achievements, Developments
The machine tool industry is a small sector with a big impact. Almost all technical products are manufactured with the help of machine tools - one reason why the machine tool is considered to be »the ultimate machine\".Berthold Leibinger, longtime managing partner of the machine tool and technology company TRUMPF, investigates the development of the machine tool industries of Germany, Japan and the United States since 1960. Key factors such as innovations, the importance of science and the training of employees are all examined. The structure of the machine tool industry and their characteristics are highlighted. In addition to the author's own experiences during his working life, numerous discussions held with experts and company representatives have also been taken into consideration.This analysis of the machine tool industry's development in three different countries also mentions numerous influential factors that lead to success or failure. From these, Berthold Leibinger derives recommended measures for managers of machine tool companies.
eBook
Unleashing innovation
In publications such as BusinessWeek and Fast Company, the media have celebrated Whirlpool′s transformation into a leading-edge innovator and Nancy Tennant Snyder′s role as chief innovation officer. Ten years after this remarkable transformation, Unleashing Innovation tells the inside story of one of the most successful innovation turnarounds in American history. Nancy Tennant Snyder and coauthor Deborah L. Duarte reveal how Whirlpool undertook one of the largest change efforts in corporate history and show how innovation was embedded throughout the company, which ultimately lead to bottom-line results.
eBook
Evaluating source credibility effects in health labelling using vending machines in a hospital setting
Providing advice to consumers in the form of labelling may mitigate the increased availability and low cost of foods that contribute to the obesity problem. Our objective was to test whether making the source of the health advice on the label more credible makes labelling more effective.
Vending machines in different locations were stocked with healthy and unhealthy products in a hospital. Healthy products were randomly assigned to one of three conditions (i) a control condition in which no labelling was present (ii) a low source credibility label, \"Lighter choices\", and (iii) a high source credibility label that included the UK National Health Service (NHS) logo and name, \"NHS lighter choices\". Unhealthy products received no labelling. The outcome measure was sales volume.
There were no main effects of labelling. However, there were significant interactions between labelling, vending machine location and payment type. For one location and payment type, sales of products increased in the high credibility label condition compared to control, particularly for unhealthy products, contrary to expectations.
Our findings suggest that high source credibility health labels (NHS endorsement) on food either have little effect, or worse, can \"backfire\" and lead to effects opposite to those intended. The primary limitations are the limited range of source credibility labels and the scale of the study.
Journal Article
Machine Tool 4.0 for the new era of manufacturing
The widespread use and continuous improvements of machine tools have had a significant impact on productivity in manufacturing industry ever since the Industrial Revolution. At the dawn of the new era of industrialization, the need to advance machine tools to a new level that accords to the concept of Industrie 4.0 has to be recognised and addressed. Muck like the different stages of industrialisation, machine tools have also gone through different stages of technological advancements, i.e., Machine Tool 1.0, Machine Tool 2.0 and Machine Tool 3.0. Industrie 4.0 pleads for a new generation of machines—Machine Tool 4.0. This paper describes some of the key and desired characteristics of Machine Tool 4.0 such as Cyber-physical Machine Tools, vertically and horizontally integrated machine tools and more intelligent, autonomous and safer machine tools.
Journal Article