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Decoupling of pressures ranging from regulatory compliance and stakeholders expectations to business competitiveness and sustainability, companies need to align their environmental strategies with a broader consideration of these influences. This paper aims at developing a dynamic alignment model to enhance the environmental performance that considers the influential pressures based on a multi-criteria decision-making process.

Authors have proposed a dynamic model for the alignment of the environmental performance based on a hybrid multi-criteria decision-making approach combining the analytic hierarchy process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). This model considers contemporary strategic dynamism of the environmental performance and provides a methodology to assist companies prioritizing the environmental aspects based on the influential pressures and deciding on the enhancement pathways.

The proposed model based on a hybrid multi-criteria decision-making process allows prioritizing the environmental aspects considering the allocated weights to the alignment-triggered pressures and draw the way to develop different pathways to improve the alignment.

The proposed dynamic alignment model presents an instrument for the continuous alignment of the environmental performance and an effective management of changes and contributes to minimize gaps and divergences.

In this paper, the environmental performance has been approached through the contemporary strategic dynamism with the deployment of the multi-criteria decision-making techniques to yield an alignment framework for the environmental decision that combines the internal and external approaches for an effective and sustainable improvement of the environmental performance.

The purpose of this paper is to valorize the contribution of the cost-benefit analysis (CBA) method in the evaluation of the prevention measures of forest fires.

The suggested approach is based on the economic analysis of the forest fires’ risks using the CBA which has become inevitable in risk analysis’ domain.

The suggested approach shows the interest of the CBA method in the sense that each reduction measure of the forest fires’ risk eliminates the potential damages and, therefore, it is likely to generate benefits for the company in terms of avoided damages on the territory that is concerned by these measures.

It consists in comparing on time, the benefit generated by a reduction measure of a forest fires’ risk and its implementation cost. This comparison gives an important focus on the economic relevance of such a reduction measure of forest fires’ risk.

The question is to highlight the importance of both: the investment in terms of forest fires and the allocation of this investment on various preventive measures of forest fires.

Improvements to health and safety at work constantly involve organizational changes (OCs). However, the OC initiatives often fail at achieving their intended goals despite efforts to draw knowledge from various disciplines, such as sociology, psychology and information sciences, to guide the change implementation. This paper proposes a temporality approach to manage the resistance during an OC project based on the capitalization of the actors' behaviors (i.e. alignment/resistance) for successful OC implementation.

Employees in an industrial company (N = 186) undergoing an OC answered a questionnaire survey. The statistical analysis approach was used to measure the influence of the constructs of the proposed temporality capitalization approach on the OC conduct.

Results indicate that the considered constructs have positive and significant correlations with OC development. It has also been found that the employees' alignment is highly correlated with the opportunities they might gain from the OC.

The proposed temporality capitalization approach shows that providing the employees with clear objectives is not sufficient to support the change, and it is suggested that the change management has to move a step further and seek to target the perspectives of the employees to energize them around the OC and maximize their alignment.

In this paper, change management is approached through the temporality capitalization that confirms the importance of monitoring the change development through the alignment. In other terms, the curve of the adaptation of the change receivers matters and should attract more attention rather than the change implementation speed.

The purpose of this paper is to highlight the interest of focusing public policies for wildfire management on behavioral changes supported by sustainable development projects dedicated to the Algerian forest heritage. Thus, the Aurès region in the eastern part of Algeria will be used as an example to illustrate the proposed new strategy.

The proposed method, guided by projects' management in sustainable development, consists of developing a responsible citizenship strategy focused on behavioral changes of citizens. Therefore, the title of the proposed method: The Construct of Responsible Citizenship.

In order to cope with forest fires, the proposed approach highlights the interest of promoting responsible citizenship. Likewise, it outlines a tool for sustaining behavioral changes based on the principle of continuous improvement and field follow-up using a multicriteria approach known as “goal programming.”

The proposed new forest fire protection plan addresses the shortcomings in Algeria's current forest fire management policy, which appears unable to deal with the increasing severity of forests' fire risk that the country has been experiencing in recent decades.

The aim is to highlight the interest of investment in forest fires prevention within the framework of the sustainable development of Algerian forest heritage, specifically, to work toward citizen subcontracting of the Algerian forest heritage.

Workplace violence is a universal phenomenon that is constantly increasing. In this regard, this study aims to investigate the prevalence of violence committed against Algerian health professionals.

A cross-sectional survey, based on an anonymous, self-administered questionnaire, was conducted in healthcare settings of eastern Algeria (where 144 respondents participated in this study). Besides, socio-demographic characteristics and data related to violence, including its prevalence, different forms, perpetrators, reporting and the way it is handled, were analyzed using descriptive and inferential statistics.

Half of the respondents were victims of violence. More specifically, 90.1% of them were verbally abused. Compared to physical violence, verbal violence was significantly perpetrated against women and young health professionals (p < 0.05). However, nurses and those with less than or equal to five years of work experience were the most vulnerable to both types of violence (p < 0.05). Moreover, the main perpetrators were the patients' relatives (70%) followed by the patients themselves (51.4%). In terms of risk treatment, aggressors were verbally warned (60%). For violence reporting, 31% of the respondents observe such a fact as not being important. Finally, 65.7% of the participants reported that their employers had provided them with security measures (guards).

This is the first study conducted in Algeria that examines the prevalence of violence and its relationship with socio-demographic characteristics. Authorities must react effectively to solve this problem by implementing preventive and anticipatory strategies.

The objective of this article is to carry out an exploratory study on the emergence of health and safety committees (HSC) in Algerian companies.

The methodology chosen, governed by the systemic approach, is centered on the exploration of HSC emergence factors in companies.

The suggested method consists in defining hypotheses found in the literature on the emergence of HSC in order to affirm or refute them in the case of Algerian companies.

Despite the fact that a good number of Algerian industrial companies were solicited; the number of respondents was limited. This limitation confirms the difficulty commonly encountered in exploratory studies by questionnaire.

The results of this exploratory study serve as a basis for the elaboration of a national action plan dedicated to HSC emergence in Algerian companies.

This is the first study conducted in Algerian companies on HSC emergence. The identification of emergence problems allows drawing up an effective action plan to solve them.

The reliability prediction is among the most important objectives for achieving overall system performance, and this prediction carried out by anticipating system performance degradation. In this context, the purpose of this research paper is to development of methodology for the photovoltaic (PV) modules' reliability prediction taking into account their future operating context.

The proposed methodology is framed by dependability methods, in this regard, two methods of dysfunctional analysis were used, the Failure Mode and Effects Criticality Analysis (FMECA) method is carried out for identification of the degradation modes, and the Fault Tree Analysis (FTA) method is used for identification the causes of PV modules degradation and the parameters influencing its degradation. Then, based on these parameters, accelerated tests have been used to predict the reliability of PV modules.

The application of the proposed methodology on PWX 500 PV modules' in different regions of Algeria makes it possible to predict its reliability, taking into account the future constraints on its operation. In this case, the temperature and relative humidity vary from one region to another was chosen as constraints. The results obtained from the different regions confirms the reliability provided by the designer of the Saharan cities Biskra, In Salah, Tamanraset, and affirms this value for the two Mediterranean cities of Oran and Algiers.

The proposed methodology is developed for the reliability prediction of the PV modules taking into account their future operating context and, the choice of different regions confirms or disproves the reliability provided by the designer of the PV modules studied. This application confirms their performance within the framework of the reliability prediction.

The increasing complexity of industrial systems is at the heart of the development of many fault diagnosis methods. The artificial neural networks (ANNs), which are part of these methods, are widely used in fault diagnosis due to their flexibility and diversification which makes them one of the most appropriate fault diagnosis methods. The purpose of this paper is to detect and locate in real time any parameter deviations that can affect the operation of the blowout preventer (BOP) system using ANNs.

The starting data are extracted from the tables of the HAZOP (HAZard and OPerability) method where the deviations of the parameters of normal BOP operating (pressure, flow, level and temperature) are associated with an initial rule base for establishing cause and effect of relationships between the causes of deviations and their consequences; these data are used as a database for the neural network. Three ANNs were used, the multi-layer perceptron network (MLPN), radial basis functions network (RBFN) and generalized regression neural networks (GRNN). These models were trained and tested, then, their comparative performances were presented. The respective performances of these models are highlighted following their application to the BOP system.

The performances of the models are evaluated using determination coefficient (R2), root mean square error (RMSE) and mean absolute error (MAE) statistics and time execution. The results of this study show that the RMSE, MAE and R2 values of the GRNN model are better than those corresponding to the RBFN and MLPN models. The GRNN model can be applied with better performance, to establish a diagnostic model that can detect and to identify the different causes of deviations in the parameters of the BOP system.

The performance of the trained network is found to be satisfactory for the real-time fault diagnosis. Therefore, future studies on modeling the BOP system with soft computing techniques can be concentrated on the ANNs. Consequently, with the use of these techniques, the performance of the BOP system can be ensured performing only a limited number of monitoring operations, thus saving engineering effort, time and funds.

The purpose of this paper is to propose a new managerial method to integrate the environmental dimension in the domino effects (DEs) analysis.

The proposed method is a three-step approach: identification of primary hazards in the form of potential events causing the DE, a mixed quantification (deterministic and probabilistic) of the risk of the DEs with a view to its control and capitalizing the results from the BLEVESOFT software as well as those relating to the probability of occurrence of the DEs in the form of a prioritized action plan dedicated to surrounding environments (proximity territory).

The primary hazards are technologically manageable at the studied system but are unpredictable if triggered at the environmental subsystem because they are difficult to be managed and often cause panic, which is a form of a very catastrophic DE.

The research could affect members of the engineering and construction industry, and can be applied in several domains since it studies the DE phenomenon. which is a common problem especially in industrials plants.

The proposal method is applied in an industrial terminal in Algeria.

This paper presents an exploratory study of using a new managerial method that aims to combine the potentialities of geomatic sciences that allow the spatial representation of nearby territories to assess the severity of DEs through a deterministic approach, and the modeling of DEs as well as their analysis by a probabilistic approach.

The purpose of this paper is to evaluate the environmental risks of the worn-water discharges of an Algerian tannery.

It consists of a proposal for a combined methods based on the simultaneous use of the environmental structured analysis and design techniques and environmental failure mode and effect analysis (EFMEA).

In the contribution, the authors insist on the complementarity between these two methods to the identification and measurement of the environmental parameters of an Algerian tannery. The identified environmental impacts were prioritized on the environmental priority number combined with the improvement possibility (F).

The contribution makes it possible to deduce the environmental aspects and, consequently, to emphasize the contribution of the environmental risk assessment on the environmental performance evaluation.

The contribution constitutes an invaluable help to the implementation of environmental performance evaluation process.

The employing coupled structured analysis and technical design and EFMEA methods have remarkably reduced the significance of the environmental impacts of an Algerian tannery.