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Selection of best product recovery alternative in reverse logistics (RL) has gained great attention in supply chain community. The purpose of this paper is to provide a robust group decision-making tool to select the best product recovery alternative.

In this paper, fuzzy values, assigned to various criteria and alternatives by a number of decision makers, are converted into crisp values and then aggregated scores are evaluated. After obtaining experts’ scores, objective and subjective weights of the criteria have been calculated using variance method and analytic hierarchy process, respectively. Then integrated weights of criteria are evaluated using different proportions of the two weights. The superiority and inferiority ranking (SIR) method is then employed to achieve the final ranking of alternatives. An example is presented to demonstrate the methodology.

The proposed methodology provides decision makers a systematic, flexible and realistic approach to effectively rank the product recovery alternatives in RL. The alternatives can easily be benchmarked and best recovery strategy can be obtained. The sensitivity analysis carried out by changing different proportion of objective and subjective weights reveals that best ranking alternative never changes and proves the robustness of the methodology. The present benchmarking framework can also be used by decision makers to simplify any problem which encounters multi-attribute decision making and multiple decision makers.

The proposed methodology should be tested in different situations having varied operational and environmental conditions dealing with different products. A real case study from an industrial set up can help to assess the behavior of the proposed methodology. The presented methodology however can deal with such multi-disciplinary and multi-criteria issues in a simple and structured manner and ease the managers to select the best alternative.

A novel approach for decision making taking into account both objective and subjective weights for criteria has been proposed to rank the best recovery alternatives in RL. The proposed methodology uses SIR method to prioritize the alternatives. As RL alternative selection is an important issue and involves both technical and managerial criteria as well as multiple decision makers, the proposed robust methodology can provide guidelines for the practicing managers.

Contractor selection is carried out in order to choose a competent and capable contractor to do the work. To help in this selection, baselines are established to ensure that the contractors have the required skills, resources, and abilities to execute the project. Contractor selection is a multiple criteria decision making wherein several criteria are required to be evaluated simultaneously. This paper aims to propose a decision‐making model.

The proposed model utilizes superiority and inferiority ranking (SIR) method and it provides six preference structures in order to compare the performance of alternatives' criteria. As such, it can represent discrete or continuous criteria. The preference structures utilize indifference and preference thresholds to capture the characteristics of functions that represent the specified criteria. The model provides two aggregation procedures (simple additive weighting and technique for order preference by similarity to the ideal solution) to generate superiority and inferiority flows.

The proposed model is generic and can be used as a tool to evaluate alternatives in several applications such as value engineering, optimum organization structure, and constructability analysis. It enables its users to define the criteria that are deemed important for evaluation.

The proposed multiple criteria decision making (SIR method) is novel to construction. This ranking method can be utilized as a successful tool in contractor selection problem.

The purpose of this paper is to propose a variant of superiority and inferiority ranking (SIR) method called SIR‐Grey for determining the location of large‐scale harbour‐front project development.

The study is illustrated with an application example obtained from the Environmental Protection Department of the Hong Kong Special Administrative Region to demonstrate the concept and application procedure of SIR‐Grey. The strengths and weaknesses of SIR‐Grey are highlighted when compared with the traditional weighted average approach.

The strengths and weaknesses of SIR‐Grey are highlighted when compared with the traditional weighted average approach. Among the strengths, the global comparison scores of SIR‐Grey can give a clearer and easier comprehensible algorithm. Further, the global comparison generated from superiority flows (S‐flows) [S‐flow: A is preferred to A′(AP_>A′) or A is indifferent to A′(AI_>A′)] and inferiority flows (I‐flows) [I‐flow: A is preferred to A′(AP_<A′) or A is indifferent to A′(AI_<A′)] can be used to select a solution matching the nature of the problem; e.g. a conservative approach can adopt the ranking from I‐flow because the selected option will have the criteria farthest from the virtual worst site while the ranking from S‐flow can be adopted for an aggressive approach because the final decision will have the criteria closest to the virtual perfect site. Regarding the weaknesses, the major one is the requirement of a full appreciation of the nature of criteria in setting the thresholds and preference structure, which may complicate the application of the model.

This study proposes a variant of SIR method called SIR‐Grey for determining the location of large‐scale harbour‐front project development. This approach can overcome the problem encountered in using other methods which could lead to variation in the final ranking and hence an inconsistent result.

Information technology service management (ITSM) has become a major IT department management system in organizations. Successful implementation of ITSM depends on select adequate ITSM software. Evaluation and selection of the ITSM solution or software packages is complicated and time-consuming decision-making problem. This paper aims to present an approach for dealing with such a problem.

This approach introduces functional, non-functional requirements and novel fuzzy out-ranking evaluation method for ITSM software selection. The presented approach breaks down ITSM software selection criteria into two broad categories, namely, functional (service strategy, service design, service transition, service operation, continual service improvement according to Information Technology Infrastructure Library V3) and non-functional requirements (quality, technical, vendor, implementation) including totally 46 selection criteria. A novel fuzzy superiority and inferiority ranking (FSIR) was developed and made applicable for ITSM software selection based on identified criteria.

The proposed approach is applied to IT services company to select and acquire ITSM software, and the provided numerical example illustrates the applicability of the approach for this choice. The approach can facilitate firms to achieve suitable ITSM software and have a precise acquisition decision; however, the limitation of dependency on experts’ competence and proficiency in the both ITSM field and IT technical issues exists.

The approach can facilitate firms to achieve suitable ITSM software and have a precise acquisition decision; however, the limitation of dependency on experts’ competence and proficiency in the both ITSM field and IT technical issues exists.

Facilitating of ITSM implementation through its handy software selection is the major impact of current research.

A facile FSIR-based approach for software selection has been customized to contribute to the current literature in the ITSM field. Facilitating of ITSM implementation through its handy software selection is the major impact of current research.

Highways are one of the most critical infrastructure projects with strategic impact on the countries’ development. Asphalt has been historically the main pavement material used in all highway projects, especially in Egypt. However, with the booming in concrete technology in the past two decades, concrete has become a strong rival to asphalt, especially in highway applications. Several factors impact the decision-making criteria for any highway, which differ according to the priorities and requirements of each decision-maker and the nature of the project.

This research focuses on studying and analyzing the different factors that impact the decision for selecting the material type for highways in Egypt’s pavement construction industry. The outputs of the analysis are then incorporated into a multi-decision-making tool to assess the optimum solution as per the priorities of the decision-maker. A holistic framework is developed to compare asphalt and concrete pavements solutions considering; initial cost, maintenance cost on the life cycle, construction duration, embodied energy and fuel consumption. The data collection on local highways was performed through interviewing and surveying experts in the consulting, contracting and building materials fields (total of 15 respondents).

A multi-decision-making tool developed using the superiority and inferiority ranking method for selecting the best alternate. To illustrate the practicality of the proposed framework, a case study for assessment and validation has been done on Sokhna–Quarries highway in Egypt. The framework results reveal that despite a lower initial cost and faster construction of asphalt, concrete pavement is more cost-efficient on the lifecycle time. The multi-decision-making model indicates that concrete is a better alternate for highway applications given the cost, time and energy factors considered.

The proposed model takes into consideration the important parameters in selecting the type of pavement to be constructed considering two alternates asphalt and concrete.

The monograph argues that American racism has two colours (white and black), not one; and that each racism dresses itself not in one clothing, but in four: (1) “Minimal” negative, when one race considers another race inferior to itself in degree, but not in nature; (2) “Maximal” negative, when one race regards another as inherently inferior; (3) “Minimal” positive, when one race elevates another race to a superior status in degree, but not in nature; and (4) “Maximal” positive, when one race believes that the other race is genetically superior. The monograph maintains that the needs of capitalism created black slavery; that black slavery produced white racism as a justification for black slavery; and that black racism is a backlash of white racism. The monograph concludes that the abolition of black slavery and the civil rights movement destroyed the social and political ground for white and black racism, while the modern development of capitalism is demolishing their economic and intellectual ground.

The present study aimed to investigate whether male consumers report weaker green consumption values than their female counterparts, and whether such a presumed sex difference, at least in part, can be explained by different levels of intrasexual competition. In other words, the study tested the notion that intrasexual competition acts as a psychological mechanism explaining why male (vs female) consumers are sometimes less prone to prefer and purchase sustainable goods, with their higher tendency to compete with same-sex rivals making them less likely to engage in green consumption.

The study was based on a large cross-sectional survey, in which a final sample of 1,382 participants (823 female and 559 male) provided complete responses on well-validated scales measuring intrasexual competition and green consumption values. The large sample size implies that even small effect sizes could be detected with high statistical power. The data were analyzed using a series of Mann–Whitney U tests to compare the responses made by male and female participants. Subsequently, multiple linear regressions as well as regression-based mediation and moderation analyses were performed with control variables added to show robustness of the results, test the proposed chain of events, and demonstrate generalizability.

Male (vs female) participants expressed significantly higher levels of intrasexual competition both generally and on the two subdimensions corresponding to superiority striving and inferiority irritation. Further, they were slightly less inclined to express green consumption values. Importantly, the sex difference in green consumption values was mediated by inferiority irritation as well as the entire intrasexual competition scale but not by superiority striving. Thus, men's inferiority irritation, in particular, and their more pronounced propensity to compete with same-sex rivals, in general, drove them away from green consumption, whereas women's weaker willingness to compete with same-sex rivals instead increased their inclination of “going green.”

Drawing on findings from the domains of competitiveness and gender stereotypes, the current research demonstrates a novel mechanism through which green consumption responses can be understood. Specifically, this study provides empirical evidence for the mediating role of intrasexual competition, especially regarding the more negatively charged subdimension of inferiority irritation, in explaining why male and female consumers may differ in terms of their green consumption values. The present research also contributes to the literature by questioning the unidimensional structure of the intrasexual competition scale and showing that the negative (vs positive) subdimension of this scale is more influential in explaining sex-differentiated patterns in consumers' green consumption values, thereby supporting the notion that “bad is stronger than good.”

Public investment programming is a complex exercise and involves a number of factors. These include social, economical, environmental, technological and political factors. In addition, each of the factors depends on many subfactors. For example, the economic factor depends on project impact on local and national economy, number of beneficiaries, and opportunity cost of work lost. The Public Projects Programming System (3PS) is mainly a decision support system aimed at helping senior decision makers in the public sector to program the implementation of public investment projects. A multiple criteria decision making (MCDM) approach was used based on the weighted average multi‐criteria analysis (WAMA) model. The structure (database, model base, and user interface) of the 3PS is presented. A case study, in the northern suburbs of Beirut, shows the implementation of the system in a real post conflict reconstruction environment in Lebanon.

This research proposes weighted grey relational analysis (WGRA) method to evaluate the performance of 325 multilevel dispatching rules in the wafer fabrication process.

The research methodology involves multilevel dispatching rule generation, simulations, WGRA and result analysis. A complete permutation of multilevel dispatching rules, including the partial orders, is generated from five basic rules. Performance measures include cycle time, move, tool idling and queue time. The simulation model and data are obtained from a wafer fab in Malaysia. Two seasons varying in customer orders and objective weights are defined. Finally, to benchmark performance and investigate the effect of varying values of coefficient, the models are compared against TOPSIS and VIKOR.

Results show that the seasons prefer different multilevel dispatching rules. In Normal season, the ideal first basic dispatching rule is critical ratio (CR) and CR followed by shortest processing time (SPT) is the best precedence pairing. In Peak season, the superiority of the rule no longer heavily relies on the first basic rule but rather depends on the combination of tiebreaker rules and on-time delivery (OTD) followed by CR is considered the best precedence pairing. Compared to VIKOR and TOPSIS, WGRA generates more stable rankings in this study. The performance of multicriteria decision-making (MCDM) methods is influenced by the data variability, as a higher variability produces a much consistent ranking.

As research implications, the application illustrates the effectiveness and practicality of the WGRA model in analyzing multilevel dispatching rules, considering the complexity of the semiconductor wafer fabrication system. The methodology is useful for researchers wishing to integrate MCDM model into multilevel dispatching rules. The limitation of the research is that the results were obtained from a simulation model. Also, the rules, criteria and weights assigned in WGRA were decided by the management. Lastly, the distinguishing coefficient is fixed at 0.5 and the effect to the ranking requires further study.

The research is the first deployment WGRA in ranking multilevel dispatching rules. Multilevel dispatching rules are rarely studied in scheduling research although studies show that the tiebreakers affect the performances of the dispatching rules. The scheduling reflects the characteristics of wafer fabrication and general job shop, such as threshold and look-ahead policies.