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This paper presents continuous monitoring results of an instrumented embankment behaviour built on compressible soil. In order to better understand of the embankment behaviour and its foundation, geotechnical investigations, measurements of the monitoring data, interstitial overpressure evolution as well as numerical modelling with soft soil model are analysed. The findings highlight various factors resulting in the failure of the infrastructure. The loading program has proven to be incompatible, which subsequently resulted in an excess of pore pressures. The numerical modelling results have illustrated clearly the behaviour of the embankment particularly, the horizontal displacements and the interstitial overpressure.

This study aims to predict the consequences associated with the propagation of the flood wave that may occur after the failure of the Taksebt dam and suggest an efficient emergency action plan for mitigation purposes.

To achieve the objectives of this study, the hydrodynamic model HEC-RAS 2D was used for the flood routing of the dam-break wave, which gave an estimate of the hydraulic characteristics downstream the Taksebt dam.

Geospatial analysis of the simulation results conducted in a geographic information system (GIS) environment showed that many residential areas are considered to be in danger in case of the Taksebt dam-break event. Based on the obtained results, an emergency actions plan was suggested to moderate the causalities in the downstream area at risk.

Overall, this study showed that the integration of 2D hydraulic modeling and GIS provides great capabilities in providing realistic view of the dam-break wave propagation that enhances assessing the associated risks and proposing appropriate mitigation measures.

The purpose of this paper is to consider selected optimization problems with parameter uncertainty. A case is studied when uncertain parameters in functions undergoing the optimization belong to intervals of known bounds as well as the absolute regret based approach for coping with such an uncertainty is applied. The paper presents three different cases depending on properties of optimization problems and proposes which method can be used to solve corresponding problems.

The worst‐case absolute regret method is employed to manage interval uncertainty in functions to be optimized. To solve resulting uncertain optimization problems, optimal, approximate as well as heuristic solution algorithms have been elaborated for particular problems presented and described in the paper. The latter one is based on Scatter Search metaheuristics.

Solution algorithms for worst‐case absolute regret versions of the following optimization problems have been determined: resource allocation in a complex of independent operations and two task scheduling problems Q‖∑C_i and P‖C_max.

It is very difficult to generalize the results obtained and to use them for solving other optimization problems which correspond to real‐world applications. Such new cases require separate investigations.

The considered allocations as well as task scheduling problems have plenty of applications, for example in computer and manufacturing systems. Their versions with not precisely known parameters can be met commonly.

The investigations presented correspond to previous works on so‐called minimax regret problems and extend them for new optimization problems.

The purpose of this paper is to assess the impact of human factor on ecological conditions of Moroccan cedar forest with a view to drawing out implication for sustainable forest management. The study is set against the backdrop of the global depletion of natural capital in a rare axis which, if not brought under an integrated sustainability purview, might lead to the extinction of this quickly receding natural resource.

Data for this research are mined from publicly held databases but processed through a time series regression analysis in a way that measures variations in ecological/environmental variables.

Findings reveal that changes in precipitation and temperature account for a small but significant amount of variation during the period 1940-2006. However, most of the decline is attributable to human activities such as overgrazing and illegal logging. These are having far-reaching implications for forest conservation management.

Human agency, more than any effect of nature, is chiefly responsible for the unsustainable development in this sphere of natural capital. Whilst this may not altogether constitute new knowledge, the paper highlights ambivalent positions that both promote and constrain efforts to sustain cedar forest. Its novelty lies not only in the empirical substantiation it affords but also in ferreting out strategic initiatives to dis-incentivise unsustainable exploitation of this important aspect of natural capital.

This paper aims to investigate the question concerning whether tax incentives motivate companies to be socially responsible. This study, specifically, examines the impact of tax incentives for corporate social responsibility (CSR) on the societal practices of Tunisian companies.

This study uses multiple regression models to assess the effectiveness of tax incentives for companies to take responsible actions. The study was conducted on 71 Tunisian companies operating in different sectors.

The results reveal that there is a negative and significant association between tax incentives and CSR practices. Therefore, there is an inefficient use of these types of incentives.

The results of the study have important implications for investors and regulatory basis wishing to enhance CSR by giving tax incentives. Investment in social responsibility may improve the corporate culture and reduce the conflict in companies.

The theoretical contributions relate mainly to the originality of the conceptual model developed, to the literature review and to the theoretical foundations mobilized. In fact, the originality of this research is justified by the scarcity of previous study dealing with the relationship between tax incentives and CSR. Thus, to the best of the authors’ knowledge, this study is one of the first to investigate the impact of tax incentives for CSR on CSR practices.

Due to the market trend of low-volume and high-variety, the manufacturing industry is paying close attention to improve the ability to hedge against variability. Therefore, in this paper the assembly line with limited resources is balanced in a robust way that has good performance under all possible scenarios. The proposed model allows decision makers to minimize a posteriori regret of the selected choice and hedge against the high cost caused by variability.

A generalized resource-constrained assembly line balancing problem (GRCALBP) with an interval data of task times is modeled and the objective is to find an assignment of tasks and resources to the workstations such that the maximum regret among all the possible scenarios is minimized. To properly solve the problem, the regret evaluation, an exact solution method and an enhanced meta-heuristic algorithm, Whale Optimization Algorithm, are proposed and analyzed. A problem-specific coding scheme and search mechanisms are incorporated.

Theory analysis and computational experiments are conducted to evaluated the proposed methods and their superiority. Satisfactory results show that the constraint generation technique-based exact method can efficiently solve instances of moderate size to optimality, and the performance of WOA is enhanced due to the modified searching strategy.

For the first time a minmax regret model is considered in a resource-constrained assembly line balancing problem. The traditional Whale Optimization Algorithm is modified to overcome the inferior capability and applied in discrete and constrained assembly line balancing problems.

The qualitative (focus group) portion of this study aims to examine the perceptions and opinions of corporate and nongovernmental organization (NGO) executives in Vietnam about corporate social responsibility (CSR) programs, issues and priorities in Vietnam, the role of various external stakeholders in supporting CSR practices and how corporates and NGOs can work together to support each other’s CSR agendas. The quantitative (survey) portion of this study aims to examine how Vietnamese companies across different sectors prioritize CSR issues and goals, budget for CSR, report on CSR and centrally (or decentrally) manage CSR programs.

This is a qualitative and quantitative research study of executives in NGO, multinational and domestic-only firms operating in Vietnam. Qualitative (focus group) data were collected from 20 participants in three focus groups. Quantitative data were collected through an online survey of respondents from 186 companies throughout Vietnam.

The focus group findings support the research literature that CSR agenda and priorities amongst Vietnamese domestic companies are strongly influenced by long-standing norms, values and religious beliefs embedded in the Vietnamese culture that support their role in charitable giving and improving the welfare and well-being of Vietnamese citizens. The findings also indicate that CSR and sustainability programs are more fully funded and developed by multinational subsidiaries in Vietnam who have more capital and human resources to support their initiatives. The survey findings indicate that enhanced reputation, attracting new customers, securing more sustainable supply chains, developing innovative or new products/services and improving risk management are the top five business goals amongst the 186 companies surveyed.

While the qualitative research uncovered important trends and issues in CSR amongst NGO and corporate participants, the focus was limited to the defined geographic areas of two main urban hubs.

The purpose of this paper is to introduce an integrated approach using failure modes and effects analysis (FMEA), multiple-criteria decision making (MCDM), mathematical modeling and quality function deployment (QFD) techniques, for risk assessment and service quality enhancement in coronary artery bypass grafting (CABG) as a treatment for cardiovascular diseases (CVDs).

First, the disruptions in the CABG process are identified and prioritized following FMEA instructions, using two MCDM techniques, called analytic hierarchy process (AHP) and TOPSIS. Consequently, several corrective activities are identified and weighted on the basis of QFD. Finally, a mathematical model is established to determine the most cost-effective activities for implementation. The approach is developed in a fuzzy environment to reflect the uncertainty and ambiguity of human reasoning.

Regarding the CABG process disruption, a total of 30 failure modes in four main categories were identified and prioritized. Moreover, eight corrective activities were devised and ranked according to their impact on the failure modes. Finally, considering a limited amount of budget, a sensitivity analysis on the mathematical model’s objective function indicated that using 30 percent of the total budget, required to implement all corrective activities, was enough to cover more than 70 percent of the effects of corrective activities on the failure modes.

This paper contributes to the quality risk assessment knowledge by introducing an integrated approach to evaluate and improve healthcare services quality. Also, the case study conducted on the CABG process has not been done by other related studies in the literature.