Combinatorial testing has been suggested as an effective method of creating test cases at a lower cost. However, industrially applicable tools for modeling and combinatorial test generation are still scarce. As a direct effect, combinatorial testing has only seen a limited uptake in industry that calls into question its practical usefulness. This lack of evidence is especially troublesome if we...

There is an emerging trend in evaluating industrial activities using principles of industrial ecology because of the emphasis on sustainability initiatives by major process industries. Attention has also been targeted at developing planned industrial ecosystems (IEs) across the globe. We point out the current state-of-the art in this exciting discipline and subsequently identify the challenges ...

The emergence of low-cost connected devices is enabling a new wave of sensorization services. These services can be highly leveraged in industrial applications. However, the technologies employed so far for managing this kind of system do not fully cover the strict requirements of industrial networks, especially those regarding energy efficiency. In this article a novel paradigm, called Low-Pow...

Permanent Magnet Synchronous Motors (PMSMs) have been widely used in many industrial applications. In This paper a new method for multi objective optimal design of a permanent magnet synchronous motor (PMSMs) with surface mounted permanent magnet rotor is presented to achieve maximum efficiency and power density using a Bees algorithm for industrial applications. The objective function is a...

Locally weighted regression combines the advantages of polynomial regression and kernel smoothing. We present three ideas for appropriate and effective use of LOcally WEighted Scatterplot Smoothing (LOWESS) models for surrogate optimization. First, a method is proposed to reduce the computational cost of LOWESS models. Second, a local scaling coefficient is introduced to adapt LOWESS models to ...

Research and policy instruments for improved energy efficiency in industry have historically focused on large and energy-intensive companies, perhaps because a large part of the energy use is concentrated therein. However, small and medium-sized enterprises (SMEs) account for 30 % of Swedish industrial energy use. Research shows that both the relative energy efficiency potential and the cost-ef...

Background and aims: Nowadays heavy metals are the environmental priority pollutants and are becoming as the most serious environmental problems. In recent years removing those from diverse industrial effluents and metal cleaning have been studied. The aim of the present study was to investigate the different methods for cooper removal of cooper ions from industrial wastewater....

This research adopts the meta Dynamic Directional Distance Functions (DDF) model in order to calculate environmental efficiency and governance of China’s industrial sector from 2010 2017 overall, sub-regional, sub-provincial perspectives discusses technical gaps regional pollution control reasons for ineffective governance. The results show that overall level is relatively high over this time p...