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The purpose of this paper is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry engineer-turned-entrepreneur regarding the evolution, commercialization and challenges of bringing a technological invention to market.

The interviewee is Mitchell Weiss, Chief Technology Officer (CTO) for Seegrid Corporation, a manufacturer of stereo vision-guided robots and vehicle control systems. As an accomplished executive of automation and robotics companies, Weiss shares his experiences and industry knowledge, including his first full-time job out of college at Unimation, the world’s first robot company.

Weiss received a Bachelor of Science from MIT and a Graduate Certificate in Intellectual Property (IP) from Northeastern University, has taught at Penn State and the University of Pennsylvania and has lectured at MIT. He has served as the Chief Operating Officer at Seegrid Corp.; CTO at Brooks Automation; CTO and Vice President of PRI Automation; President of ProgramMation, Inc.; and Chief Engineer and Co-Founder at United States Robots, Inc.

Weiss holds 24 patents, is an expert witness in IP litigation, is Vice Chair of ASTM F45 Driverless Automatic Guided Industrial Vehicles and is a member of ANSI/ITSDF B56.5 Safety Standard for Driverless, Automatic Guided Industrial Vehicles and Automated Functions of Manned Industrial Vehicles. He is also one of the co-authors of the 1986 McGraw-Hill book Industrial Robotics: Technology, Programming, and Applications. Weiss has led his high-technology robotic and automation companies to be successful in the installation of worldwide automation systems in semiconductor manufacturing, electronics manufacturing, automotive and warehousing and distribution. His technical achievements in product design, development and production combined with his business expertise in fund-raising, initial public offering and mergers & acquisitions provide companies with a unique, forward-thinking technology roadmap.

The purpose of this paper is to investigate whether the proposed eco currency union has sufficient business cycle synchronization among its members to avoid problems such as those experienced in the last several years by countries in the eurozone. This monetary union would potentially include 18 countries – Benin, Burkina Faso, Cameroon, Central African Republic, Chad, Republic of the Congo, Cote d’Ivoire, Equatorial Guinea, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Mali, Niger, Nigeria, Senegal and Togo – which collectively have a GDP of over 744 billion dollars and a population of over 300 million people.

The authors will apply some recently created econometric tools that were developed specifically to investigate business cycle synchronization in the eurozone. These tools – denoted synchronicity and similarity – overcome some of the limitations of previous studies which have used vector autoregressions and suffered simultaneity bias as a result.

The different measures employed suggest that the potential members of the eco exhibit a very low level of synchronization. Nigeria in particular, which is heavily dependent on oil, as are some, but not all potential members, would be the largest member, and exhibits a very low level of synchronization with other prospective eco member nations. Finally, preliminary evidence from several countries which have joined the existing African currency unions does not indicate that the act of joining a currency union improves synchronization, and this result contradicts the “endogenous optimal currency area” hypothesis.

Like previous studies on the topic, the authors rely on the available data. The number of observations is more limited than would be optimal.

The results would strongly caution against the creation of the eco currency union, as members appear even less ready for monetary integration than countries in the eurozone did.

This is the first study to apply the synchronicity and similarity tools to the prospective West African eco nations.

This paper aims to introduce a new indicator to measure redenomination risks in Euro area countries. The measure is based on survey data. The influence of this indicator in determining sovereign bond yield spreads is estimated.

An autoregressive distributed lag approach is used to estimate the effects of redenomination risks on sovereign bond yields. Additional control variables are added.

The results for 10 European Economic and Monetary Union (EMU) countries in the period June 2012 to May 2019 show that the risk of depreciation is almost abandoned for most Euro area countries, i.e. the former crisis countries Ireland and Portugal. If anything an appreciation may occur for some countries once they leave the EMU. The only countries facing depreciation problems once leaving the monetary union are Italy and to some extent Spain.

With this new indicator, the literature on sovereign bond determination and i.e. on redenomination risks is expanded by an additional approach. Moreover, this study is one of few also looking at the period after the most severe tensions of the sovereign debt crisis in the Euro area in 2012.

The National Transportation Safety Board (US) has warned pilots not to become complacent about the threat from airframe and engine icing because of the speed and sophistication of modern aircraft.

Statistics in the construction industry show that lack of timely injection of funds to projects by clients is one of the common problems confronted by contractors. This problem is intensified when contractors construct multiple projects simultaneously. In these situations, it is rational that contractors share their financial resources among projects according to project conditions and the firm’s vision. This study aims to propose a fuzzy multi-criteria decision making (MCDM) model for financial management in multiple project environments.

First, the project evaluation criteria are defined using exploratory study and interviews with experts. Second, the weights of criteria are determined based on company strategies. Then, each of the projects are evaluated in each criterion. Finally, the fuzzy weighted average approach is used to determine the proportion of each project from the financial resources.

The proposed model is prepared as an applicable model for general contractors to assign financial recourses among the multiple projects optimally.

As a lack of applicable model assigning the financial resources among the multiple projects, this study is one of the first research studies that proposed a fuzzy MCDM model to assign financial resources to multiple projects optimally.

To study the effect of feldspars as inorganic filler on the mechanical and dielectric properties of epoxy coatings.

Coating systems used were of either filler‐free epoxy resin (as reference), or epoxy resin filled with feldspars powder at four different levels by weight. Mechanical properties of the coatings were evaluated via damping hardness and abrasion and impact resistance measurements. Electrochemical impedance spectroscopy measurements were used for the evaluation of the dielectric properties while visual observations of the test panels after salt‐spray test were also made.

The addition of 15 per cent w/w feldspars resulted in a formulation giving the most positive results, e.g. improvement of the coating's mechanical characteristics and dielectric behaviour similar to that of filler‐free epoxy coatings. Practically comparable to this behaviour was that possessed by coatings with 30 per cent w/w feldspars, while further increase of the feldspars content resulted either in a reduction in the extent of the enhancement of the mechanical behaviour or even in a worsening of both mechanical and dielectric characteristics.

Feldspars are the most abundant group of minerals in the earth's crust; it is an inorganic, environmentally friendly material, which exhibits high Mohs hardness. The effects of feldspars in improving the mechanical characteristics of organic coatings, while not causing any reduction in the anticorrosive performance of the polymeric matrix was found through the study.

The VDML Project shows how the Information Environment can enhance the work of staff and students in small foreign languages departments. It aims to combat teacher isolation, develop better learning materials and increase the variety of learning activities for students. The project has developed a pilot virtual department, linking Danish students and teachers in three UK universities. For the past year, teachers have used this to share the development of new learning tasks that have been used by students. The project is therefore concerned both with content development and re‐use, and with changing working practices for teachers and students.

This paper focuses on the project “Development of electronic components on circuit boards made of renewable resources” which has the aim of developing materials and technologies for the production of electronic components with printed wiring boards (PWB) completely made of renewable resources.

Reviews the use of renewable resources in the electronics industry where there is potential for fostering sustainable development through its technological innovations.

Outlines that ARBOFORM, a high‐quality thermoplastic engineering material for applications that demand high technological standards, combines the positive properties of natural wood with the processing capabilities of thermoplastic materials.

The motivation for the substitution of non‐renewable raw materials is not only given by ecological aspects but could also be boosted in future as reserves of fossil resources are further depleted and costs increase.

The purpose of the paper is to visualize the priorities of important factors towards the status of Industry 4.0 implementation in Indian manufacturing industries by utilizing the analytic hierarchy process (AHP) and analytic network process (ANP) techniques.

Based on a review of relevant literature, the authors recognized four criteria and 16 critical factors that have been validated by academic and industry experts. AHP and ANP models are then developed to evaluate the requirements and essential elements of the Industry 4.0 implementation. The outcomes were validated with the aid of sensitivity analysis.

The above models offer the industry a clear and straightforward way to understand the critical factors in the status of Industry 4.0 implementation. The two techniques have emerged to be influential in deciding the status of Industry 4.0 implementation. The two methods yielded almost identical outcomes. Both methods take into account the industry's specific needs based on their available capacity.

Decision-makers and specialists will use the strategies discussed in this paper to effectively include the implementation status of Industry 4.0 in their industries, based on their ability to make arrangements for proper implementation of Industry 4.0 and to concentrate on top priority factors when implementing Industry 4.0 at their workplace.

The contribution of this research is that it is the first to be carried out with a view to both AHP and ANP to analyze important factors regarding the implementation status of Industry 4.0 and authentication through sensitivity analysis methods; this is a recent initiative in Industry 4.0.

A positive outlook on the impact of Industry 4.0 (I4.0) on sustainability prevails in the literature. However, some studies have highlighted potential areas of concern that have not yet been systematically addressed. The goal of this study is to challenge the assumption of a sustainable Fourth Industrial Revolution by (1) identifying the possible unintended negative impacts of I4.0 technologies on sustainability; (2) highlighting the underlying motivations and potential actions to mitigate such impacts; and (3) developing and evaluating alternative assumptions on the impacts of I4.0 technologies on sustainability.

Building on a problematization approach, a systematic literature review was conducted to develop potential alternative assumptions about the negative impacts of I4.0 on sustainability. Then, a Delphi study was carried out with 43 experts from academia and practice to evaluate the alternative assumptions. Two rounds of data collection were performed until reaching the convergence or stability of the responses.

The results highlight various unintended negative effects on environmental and social aspects that challenge the literature. The reasons behind the high/low probability of occurrence, the severity of each impact in the next five years and corrective actions are also identified. Unintended negative environmental effects are less controversial than social effects and are therefore more likely to generate widely accepted theoretical propositions. Finally, the alternative hypothesis ground is partially accepted by the panel, indicating that the problematization process has effectively opened up new perspectives for analysis.

This study is one of the few to systematically problematize the assumptions of the I4.0 and sustainability literature, generating research propositions that reveal several avenues for future research.