The Psychology of Innovation in an Industrial Setting

2018 ◽  
pp. 205-216
Author(s):  
James C. Miller
Keyword(s):  
Industrial Setting

scholarly journals Changes in Traditional Activities of Industrial Area toward Sustainable Tourism Development

2019 ◽  
Vol 11 (22) ◽  
pp. 6189 ◽  
Author(s):  
Milena Nedeljković Knežević ◽  
Marko D. Petrović ◽  
Slađana Nedeljković ◽  
Maja Mijatov ◽  
Milan M. Radovanović ◽  
...  
Keyword(s):  
Sustainable Tourism ◽  
Tourism Development ◽  
Industrial Area ◽  
Local Communities ◽  
Open Pit ◽  
Open Pit Mining ◽  
The Sustainable Development ◽  
Sustainable Tourism Development ◽  
Industrial Setting ◽  
Entrepreneurial Activities

The purpose of this study is to investigate the potential for restructuring industrial areas toward tourism development within local communities, with a special emphasis on the socio-cultural determinants of residents, as well as their attitudes regarding the sustainable development of tourism. The research is also oriented toward the interests of local communities with respect to entrepreneurial activities in the field of tourism within regions relying on traditional industries, in this case, one of the largest open-pit mining surfaces in Europe (near the Serbian town of Lazarevac). The survey was conducted on a sample of 273 respondents. The research results point to the residents’ attitudes regarding the acceptability of tourism development options, as well as their attitudes toward tourism development, with the aim of providing the conditions for a successful transition from a typical heavy industrial setting toward sustainable tourism development.

High-Performance Motion Control With Slosh: A Constrained Sliding Mode Approach

2008 ◽  
Author(s):  
Hanz Richter ◽  
Kedar B. Karnik
Keyword(s):  
High Speed ◽  
High Performance ◽  
Design Methodology ◽  
Closed Loop ◽  
Sliding Mode ◽  
Initial Conditions ◽  
Rectilinear Motion ◽  
Industrial Setting ◽  
Open Container ◽  
Nominal Performance

The problem of controlling the rectilinear motion of an open container without exceeding a prescribed liquid level and other constraints is considered using a recently-developed constrained sliding mode control design methodology based on invariant cylinders. A conventional sliding mode regulator is designed first to address nominal performance in the sliding mode. Then an robustly-invariant cylinder is constructed and used to describe the set of safe initial conditions from which the closed-loop controller can be operated without constraint violation. Simulations of a typical transfer illustrate the usefulness of the method in an industrial setting. Experimental results corresponding to a high-speed transfer validate the theory.

scholarly journals Development and Implementation of ‘Just Right’ Physical Behavior in Industrial Work Based on the Goldilocks Work Principle—A Feasibility Study

2021 ◽  
Vol 18 (9) ◽  
pp. 4707
Author(s):  
Anders Fritz Lerche ◽  
Svend Erik Mathiassen ◽  
Charlotte Lund Rasmussen ◽  
Leon Straker ◽  
Karen Søgaard ◽  
...  
Keyword(s):  
Energy Level ◽  
Feasibility Study ◽  
Industrial Workers ◽  
Physical Behavior ◽  
Productive Work ◽  
Industrial Work ◽  
Industrial Setting ◽  
Health And Fitness ◽  
Just Right

The Goldilocks Work Principle expresses that productive work should be redesigned to comprise physical behaviors of different intensities in a composition promoting workers’ health and fitness. This study is the first to assess the feasibility of redesigning work in an industrial setting according to the Goldilocks Work Principle. We recruited workers (n = 20) from a brewery in Denmark, and we conducted a participatory 16-week intervention including a workshop and two consultations. The workshop aimed to support the workers in modifying their work, while the consultations assisted the eventual implementation. Feasibility was evaluated as per three aspects: (1) developing modifications of work, (2) implementing these modifications, and (3) changing physical behavior and self-reported fatigue, pain and energy. The three aspects were addressed through records completed by the workers, measurements of workers’ physical behavior and intensity during ‘control’ workdays (i.e., usual work) and ‘intervention’ workdays (i.e., modified work), and self-reported fatigue, pain and energy level following both types of workday. Five modifications to work were developed, and three of these five modifications were implemented. To some extent, physical behavior and intensity changed as intended during ‘intervention’ workdays compared to ‘control’ workdays. Workers were also less fatigued, had less pain, and had more energy after ‘intervention’ workdays. These results suggest that it is feasible to develop and implement modified work based on the Goldilocks Work Principle among industrial workers. However, we also identified several barriers to the implementation of such modifications.

Enhancing Creative Redesign through Multi-Modal Design Heuristics for Additive Manufacturing

2021 ◽  
pp. 1-52
Author(s):  
Alexandra Bloesch-Paidosh ◽  
Kristina Shea
Keyword(s):  
Additive Manufacturing ◽  
Design Process ◽  
User Studies ◽  
Novice User ◽  
Design Heuristics ◽  
Industrial Setting ◽  
Derived Design ◽  
Mind Set ◽  
Future Work ◽  
Early Phases

Abstract When designing for Additive Manufacturing (AM), designers often need assistance in breaking out of their conventional manufacturing mind-set. Previously, Blösch-Paidosh and Shea (2019) derived Design Heuristics for AM (DHAM) to assist designers in doing this during the early phases of the design process. This work proposes a set of 25 multi-modal cards and objects to accompany each of the Design Heuristics for AM and studies their effect through a series of controlled, novice user studies conducted using both teams and individuals who redesign a city E-Bike. The resulting AM concepts are analyzed in terms of the quantity of design modifications relevant for AM, AM-flexibility, novelty, and variety. It is found that the DHAM cards and objects increase the inclusion of AM concepts, AM modifications, and the unique capabilities of AM in the concepts generated by both individuals and teams. They also increase the creativity of the concepts generated by both individuals and teams, as measured through a series of defined metrics. Further, the objects in combination with the cards are more effective at stimulating the generation of a wider variety of designs than the cards alone. Future work will focus on studying the use of the DHAM cards and objects in an industrial setting.

scholarly journals Integration of image segmentation and fuzzy theory to improve the accuracy of damage detection areas in traffic accidents

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Majid Amirfakhrian ◽  
Mahboub Parhizkar
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Machine Vision ◽  
Traffic Accidents ◽  
Fuzzy Theory ◽  
Machine Learning Techniques ◽  
Industrial Setting ◽  
Technological Advances ◽  
Learning Techniques ◽  
Wide Range

AbstractIn the next decade, machine vision technology will have an enormous impact on industrial works because of the latest technological advances in this field. These advances are so significant that the use of this technology is now essential. Machine vision is the process of using a wide range of technologies and methods in providing automated inspections in an industrial setting based on imaging, process control, and robot guidance. One of the applications of machine vision is to diagnose traffic accidents. Moreover, car vision is utilized for detecting the amount of damage to vehicles during traffic accidents. In this article, using image processing and machine learning techniques, a new method is presented to improve the accuracy of detecting damaged areas in traffic accidents. Evaluating the proposed method and comparing it with previous works showed that the proposed method is more accurate in identifying damaged areas and it has a shorter execution time.

scholarly journals Usability Study of Learning-Based Pose Estimation of Industrial Objects from Synthetic Depth Data

2021 ◽  
pp. 285-296
Author(s):  
Stefan Thalhammer ◽  
Timothy Patten ◽  
Markus Vincze
Keyword(s):  
Pose Estimation ◽  
Scene Understanding ◽  
Important Task ◽  
Usability Study ◽  
Depth Data ◽  
Industrial Setting ◽  
Grasping And Manipulation ◽  
Object Pose Estimation ◽  
Assistance Systems ◽  
Mesh Models

AbstractFor visual assistance systems deployed in an industrial setting, precise object pose estimation is an important task in order to support scene understanding and to enable subsequent grasping and manipulation. Industrial environments are especially challenging since mesh-models are usually available while physical objects are not or are expensive to model. Manufactured objects are often similar in appearance, have limited to no textural cues and exhibit symmetries. Thus, these are especially challenging for recognizers that are meant to provide detection, classification and pose estimation on instance level. A usability study of a recent synthetically trained learning-based recognizer for these particular challenges is conducted. Experiments are performed on the challenging T-LESS dataset due to its relevance for industry.

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