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The purpose of the article is to identify relevant criteria for decision support in the implementation of waste-to-energy (WtE)-based systems.

The methodology is a simple case study with a qualitative approach. Five experts involved in the project of a thermoelectric power plant qualitatively evaluated, on a Likert scale, a decision model with 15 indicators derived from recent studies. The research object was the first stage of a project to implement a thermoelectric plant employing municipal solid waste (MSW) in southern Brazil.

The study identified 15 criteria supporting the decision-making process regarding WtE implementation for MSW in a mid-sized city in southern Brazil. The study identified that compliance with MSW legislation, compliance with energy legislation, initial investment and public health impact are the most influential criteria. The study offered two models for decision processes: a simplified one and a complete one, with ten and fifteen indicators, respectively.

The study concerns mid-sized municipalities in southern Brazil.

Municipal public managers have now a methodology based on qualitative evaluation that admits multiple perspectives, such as technical, economic, environmental and social, to support decision-making processes on WtE technologies for MSW.

MSW management initiatives can yield jobs and revenues for vulnerable populations and provide a correct destination for MSW, mainly in developing countries.

The main originality is that now municipal public decision-makers have a structured model based on four constructs (technical, economic, environmental and social) deployed in 15 indicators to support decision-making processes involving WtE and MSW management.

The purpose of this article is to compare design choices and assess the structural complexity of six manufacturing supply chains (SCs) of the Brazilian wind turbine industry.

The research method is quantitative modeling. This study adopts the social network perspective to provide a broad set of network metrics for comparative analysis and characterization of the structural configuration and complexity of SCs. Transaction costs and the risk of disruption supported the metrics employed in the study. Network size, network density, core-size and centralization metrics stem from transaction costs, whereas constraint and betweenness centrality stem from risk of disruption.

The main conclusion is that, in the Brazilian wind manufacturing industry, increasing the SC structural complexity by adding redundant ties to minimize disruption risks, even implying higher transaction costs, increases the capacity to win orders.

Only the Brazilian wind turbine industry was studied. Therefore, findings are not general, but specific, to the case.

Managers and practitioners of the Brazilian wind turbine industry should focus on increasing the complexity of their SCs, even if it increases transaction costs, to ensure due dates compliance in orders.

To the best of the available knowledge, there is no commonly accepted or shared measurement for SC complexity, and this study proposed an alternative approach to bridge this research gap, the structural perspective of social networks. Traditional measures were complemented by new metrics, and the power of the application of social network analysis to SC investigations was empirically demonstrated in different levels of analysis.

The purpose of this study is to investigate empirically whether the presence of dependence influences the strength and direction of the relationship between social capital and operational performance.

The authors tested two effects, moderator and mediator, of the dependence between social capital and operational performance in the buyer–supplier relationship in the supply chain. The authors use dependence as a dichotomous variable and empirically test the hypotheses using hierarchical linear regression from data collected from 117 industrial companies in Brazil.

The results show that although dependence does not have a mediating effect on social capital shares in operational performance, it moderates the strength of trust actions in relation to cost, delivery, flexibility and innovativeness of the buyer.

As for the practical implications, in a buyer–supplier relationship, managers may not be fully capable of decreasing dependence and thus increasing the effect of trust actions on operational performance.

For management practices in the textile and clothing industry, social capital actions contribute to strategic objectives, increasing collaboration between supply chain partners, and for operations, offering more options in managing social ties.

Reverse logistics (RL) activities are becoming crucial in today’s business environment because of their ability to enhance organizational capabilities to manage waste and resources effectively and efficiently as an approach for achieving sustainability. These capabilities can eventually create sustainable competitive advantage (SCA). Drawing on resource-based view (RBV), this study posits RL as a tool to develop capabilities gained from high performance (financial and nonfinancial) to enhance SCA.

Covariance-based structural equation modeling (SEM) was used to analyze 1,207 responses collected from manufacturing organizations operating in Egypt. Data were gathered through an online survey sent via email to manufacturing organizations operating in Egypt, particularly Cairo, Giza and Alexandria, as these governorates contain most business activities in Egypt and hence high a percentage of waste.

Results indicated that RL activities (recycling, remanufacturing, repair, recondition and disposal) can fully mediate the relationship between organizational performance (financial and nonfinancial) and SCA. However, the remanufacturing and recycling mediating roles between financial performance and SCA were not significant.

Applying this research in a developing country (Egypt) will help extend RBV and incentivize organizations to apply RL activities, which can potentially solve several environmental issues such as decreasing waste.

Using the research variables in combination will help in filling the literature gap as previous research focused on RL and only organizational operational performance, where RL was used as an independent variable with no illustration of how its dimensions affect performance or its mediating role between performance and SCA.

The purpose of this paper is to gain knowledge about the status and characteristics of the current web citations in published articles by Iranian researchers in the Science Citation Index (SCI). Besides investigating the growth in the presence of web resources in publications, the paper examines the accessibility and decay of web resources. Furthermore, the author will examine the provided information by the URLs to determine whether the cited contents by the authors signify the same information as the URLs.

The author used the survey research method. Thus, all documents by Iranian chemistry researchers recorded in the SCI database during 2006‐2009 were identified and then transferred to an Excel base. After a one‐by‐one examination, 46,762 web citations were extracted from a total number of 10,333 documents and were then analyzed, with the aid of two research assistants, in two months time (November and December of 2010), as specified in the research objectives. The citations were categorized into nine groups based on the feedback from the URLs' entries in the Internet Explorer browser.

The results showed that 46,762 citations (20 percent) of the total 187,823 available citations in the articles included web citations. The proportion percentage of web citations increased from 9 percent in 2006 to 39 percent in 2009. The average number of web citations for every article is 4.52. The most widely cited top level domains in URLs include the.org and.edu with, respectively, 31 percent and 23 percent; and when compared to other domains they reveal a greater tendency for stability. The highest percentage of inactive URLs was found to be associated with the .gov top level domain. Ultimately, 40,954 web citations were rendered accessible, of which 79 percent allowed easy and long‐term access to the authors' information intended in URLs. The decay rate for citations reveals an annual 5.2 percent increase. Long‐time inaccessibility to the authors' same intended information was shown to be mostly from URLs that returned the 404 error and also the URLs that had gone through information update. An about eight year half‐life was estimated for Iran's chemistry publications, which is rather promising in comparison with other fields of study.

The paper offers a quantitative analysis of the state of web citations application among chemistry researchers in Iran and voices concerns related to web citations in the publications in this field. The results of this study may be useful for providers of web contents, authors and editors in the field of chemistry publications.

The purpose of this paper is to investigate on the behaviour of a delaminated stiffened panel; the delamination growth is simulated via fracture elements implemented in B2000++® code based on the Modified Virtual Crack Closure Technique (MVCCT), matrix cracking and fibre failure have been also taken into account.

In order to correctly apply the MVCCT on the delamination front a very fine three-dimensional (3D) mesh is required very close to the delaminated area, while a 2D-shell model has been employed for the areas of minor interest. In order to couple the shell domain to the solid one, shell-to-solid coupling elements based on kinematic constraints have been used.

Results obtained with the global/local approach are in good correlation with those obtained with experimental results.

The global/local approach based on kinematic coupling elements in conjunction with fracture elements allows to investigate and predict the behaviour of a stiffened delaminated composite panel in an efficient and effective way.

This paper aims to analyze the influence of governance mechanisms in the generation of relational rents for supplier in short food supply chains (SFSCs).

This study used data from a survey of 181 organic producers in SFSCs, using partial least squares structural equation modeling (PLS-SEM) with the aid of the SmartPLS® 3 software for the analysis.

The results show the relationship between formal and informal governance mechanisms and relational rents. The predominance of informal mechanisms enabled a higher explanatory power than that provided by formal governance mechanisms. Further, the authors found that the complementary use of governance mechanisms has a stronger impact on generating relational rents. However, contextual factors such as relationship time, power asymmetry and uncertainty in demand have not shown any influence on governance mechanisms for generating relational rents.

The result sheds new light on the relevance of governance mechanisms to foster relational rents to suppliers in SFSCs. It also shows that contextual factors that affect relationships in traditional supply chains do not play a relevant role in SFSCs due to their specific characteristics.

Many European businesses are small and medium enterprises (SMEs), contributing significantly to the well-being of local economies and regions. Even so, SMEs face many challenges in fostering innovation and improving performance. Furthermore, the raw material consumption is increasing globally, necessitating the development of strategies that will reduce the number of raw materials extracted and imported while improving the sustainability of small and medium-sized businesses. Consequently, promoting circular economy (CE) strategies, such as industrial symbiosis (IS) partnerships, whereby waste products from other industries serve as a source of raw materials for companies, is critical. Identifying and analysing enablers or drivers that support IS collaborations among SMEs is necessary to achieve this goal. In this regard, the purpose of this study will explore the enablers of IS among SMEs considering sustainability dimensions (environmental, social and economic). As facing a decision-making (DM) problem, the multiple attribute decision-making (MADM) approach was applied in a hesitant fuzzy (HF) environment in this research to answer the research questions. In this regard, in phase 1, IS enablers were identified and extracted using a literature review and experts’ opinions. In phase 2, the hesitant fuzzy Delphi (HFD) method was implemented to screen and finalise the enablers identified. In phase 3, casual relations among final enablers were determined using the hesitant fuzzy ANP (HF-ANP) method. Finally, in phase 4, the relative importance of enablers was calculated using the hesitant fuzzy best–worst method (HF-BWM). Consequently, this study provided potential strategies for IS that can be implemented quickly and used by local authorities to support SMEs in achieving circular waste management.

The purpose of this paper is to analyze the bird impact damage of fuselage composite stiffened structures by numerical method and to evaluate the damage and the bird impact resistance of different structures.

The deformation and damage of composite stiffened plates during bird impact are numerically analyzed by the explicit finite element software LS-DYNA. A comparative study on the numerical calculation results was conducted by using SPH (Smoothed Particle Hydrodynamics)-FEM (Finite Element Method) modeling and simulation. First, the I-shaped, T-shaped, straight stiffened plates and unstiffened plate were designed. Second, the accuracy of the bird model was verified and further used to evaluate bird strikes on composite stiffened plate. Third, the results of damage modes as well as displacements of the stiffened plates were compared.

The stiffeners can increase the local stiffness of the composite panel, which can effectively inhibit the bird’s movement along the impact direction. Adding stiffeners can change the panel matrix tension damage from global distribution to local distribution mode; however, the impact damage distribution and the ability to inhibit damage propagation can differ for different stiffened panels. Especially, the I-stiffened panel exhibits a better anti-bird strike performance.

The analysis of geometric parameters of structural components by numerical methods can reduce the cost of the design phase and has been widely used in aircraft design. The present study evaluated the bird impact damage of composite stiffened plates with different structures, which provides a guideline for selecting the stiffened plate structure in the fuselage skin.

Total productive maintenance consists of strategies and procedures that aim to guarantee the entire functioning of machines in a production process so that production is not interrupted and no loss of quality in the final product occurs. Planned maintenance is one of the eight pillars of total productive maintenance, a set of tools considered essential to ensure equipment reliability and availability, reduce unplanned stoppage and increase productivity. This study aims to analyze the influence of statistical reliability on the performance of such a pillar.

In this study, we utilized a multi-method approach to rigorously examine the impact of statistical reliability on the planned maintenance pillar within total productive maintenance. Our methodology combined a detailed statistical analysis of maintenance data with advanced reliability modeling, specifically employing Weibull distribution to analyze failure patterns. Additionally, we integrated qualitative insights gathered through semi-structured interviews with the maintenance team, enhancing the depth of our analysis. The case study, conducted in a fertilizer granulation plant, focused on a critical failure in the granulator pillow block bearing, providing a comprehensive perspective on the practical application of statistical reliability within total productive maintenance; and not presupposing statistical reliability is the solution over more effective methods for the case.

Our findings reveal that the integration of statistical reliability within the planned maintenance pillar significantly enhances predictive maintenance capabilities, leading to more accurate forecasts of equipment failure modes. The Weibull analysis of the granulator pillow block bearing indicated a mean time between failures of 191.3 days, providing support for optimizing maintenance schedules. Moreover, the qualitative insights from the maintenance team highlighted the operational benefits of our approach, such as improved resource allocation and the need for specialized training. These results demonstrate the practical impact of statistical reliability in preventing unplanned downtimes and informing strategic decisions in maintenance planning, thereby emphasizing the importance of your work in the field.

In terms of the originality and practicality of this study, we emphasize the significant findings that underscore the positive influence of using statistical reliability in conjunction with the planned maintenance pillar. This approach can be instrumental in designing and enhancing component preventive maintenance plans. Furthermore, it can effectively manage equipment failure modes and monitor their useful life, providing valuable insights for professionals in total productive maintenance.