The corrosion inhibition efficiencies of two novel Schiff bases, namely (E)-3-[thiophen-2-ylmethyleneamino]benzoic acid (T2YMABA) and (E)-4-(5-[(2-phenylhydrazono) methyl]thiophen-2-yl)benzoic acid (PHMT2YBA) on mild steel (MS) in 1.0M HCl solution has been investigated and compared using electrochemical impedance spectroscopy and potentiodynamic polarization analysis. The Schiff bases exhibited very good corrosion inhibitions on mild steel in 1.0M HCl medium and the inhibition efficiency increased with the increase in concentration of the inhibitor. Polarization studies revealed that T2YMABA acted as a mixed type inhibitor whereas PHMT2YBA molecules acted as anodic inhibitor.

Government construction projects are vital to the economic development of developing countries. However, although most of these projects suffer from abandonment, little evidence exists concerning the causes that account for this setback. This paper investigates the causes of government construction project abandonment in Ghana. We used a sequential data collection approach, in-depth semi-structured interviews, and questionnaire surveys to solicit the views of project management practitioners, contractors, and clients associated with Ghana government construction project implementation. Using factor analysis and structural equation modelling, we find that Ghanaian government construction project abandonment is influenced by five sets of causes: political leadership, culture, external forces, resources (including funding) and administrative/institutional bottlenecks. Three of these sets of causes – political leadership, cultural and external forces, are the primary causes, while resources (including funding) and administrative/institutional causes are secondary causes.

The current study aims to provide an overview of the research on political risk using the Web of Science（WoS）database as well as summarize research results and put forward some suggestions for research directions of political risk in international construction projects. It is the first time scientometric analysis of political risk research is executed. In this regard, the papers related to political risk in the WoS database have been retrieved and the literature is sorted out by visual and content analysis methods. Visual analysis is used to analyze the research overview, knowledge base, and research hotspots of this field. The content analysis method is adopted to expound the current research focus from three perspectives inducing the influence of political risk, risk assessment, and risk management measures. The results show that in the political risk context, the number of publications has experienced an increasing trend in recent years. Based on the existing literature on political risk for all companies, this overview provides some suggestions to address the political risk in international construction projects in the future. The results contribute to the scholars understanding of the research overview, research hotspots, and future research directions of political risk research in construction projects.

In open travelling salesman subset-tour problem (OTSSP), the salesman needs to traverse a set of k (≤n) out of n cities and after visiting the last city, the salesman does not necessarily return to the central depot. The goal is to minimize the overall traversal distance of covering k cities. The OTSSP model comprises two types of problems such as subset selection and permutation of the cities. Firstly, the problem of selection takes place as the salesman’s tours do not contain all the cities. On the other hand, the next problem is about to determine the optimal sequence of the cities from the selected subset of cities. To deal with this problem efficiently, a hybrid nearest neighbor technique based crossover-free Genetic algorithm (GA) with complex mutation strategies is proposed. To the best of the author’s knowledge, this is the first hybrid GA for the OTSSP. As there are no existing studies on OTSSP yet, benchmark instances are not available for OTSSP. For computational experiments, a set of test instances is created by using TSPLIB. The extensive computational results show that the proposed algorithm is having great potential in achieving better results for the OTSSP. Our proposed GA being the first evolutionary-based algorithm that will help as the baseline for future research on OTSSP.

A simple multi-attribute decision-making method based on ranking of alternatives and attributes is proposed in this paper. The method ranks the alternatives with respect to each of the attributes based on the corresponding performance measures. Similarly, the ranks are assigned to the attributes based on their importance as perceived by the decision maker. The ranks assigned to the alternatives with respect to each of the attributes and the ranks assigned to the attributes are converted to appropriate weights and the final composite scores of the alternatives are computed using these weights. An interesting feature of the proposed method is that the qualitative attributes (i.e. the attributes expressed in linguistic terms) need not require the use of fuzzy logic. The proposed method is very simple and useful in situations of limited time availability, presence of qualitative attributes, imprecise/incomplete/partial data, and decision maker’s limited attention and capability to process the information. The proposed method is proved easier and better compared to the other widely used decision-making methods. The proposed method will be tested further on more realistic problems of the industrial environment and the results will be reported soon.

The objective of the present study is to investigate the effect of knowledge management on the productivity of the staff working at Islamic Azad University, Bonab Branch. The study uses knowledge management based on Nonaka and Takeuchi & apos; s theory in four cases of socialization, externalization, combination and internalization of social knowledge. The population of the present study includes all 89 staff working at Islamic Azad University. Regarding the small number of the population, the whole population was selected as the sample, i.e. the census method was used. After collecting questionnaires, the obtained information were summarize and categorized using descriptive statistics and to test research hypotheses, bivariate regression was used. The present study employs a survey research for collecting data and it is an applied research in terms of objective. The results indicate that knowledge management and its dimensions are effective on the productivity of the staff working at Islamic Azad University.

In this paper, we present a hybrid method of game theory and dynamic systems to study the behavior of firms in an oligopoly market. The aim of this study is to build a model for an oligopoly game on the basis of feedback loops and system dynamics approach and to solve the resulted problems under some special conditions where traditional game theory methods are unable to handle. The method includes a combination of qualitative methods including interviews with industry experts to prepare the model and quantitative methods of system dynamics, simulation methodologies and game theory. The results indicate that competitive behavior and the important parameters such as volume of demand, interest rates and price fluctuation will be stabilized after a transition period.

Absenteeism is a major challenge for any organization in the current competitive world. Curbing absenteeism helps organizations achieve their targets and increases productivity. This study highlights the major causes of absenteeism in the production division of a garment industry under various dimensions, which influence on absenteeism like work environment, organizational culture, relation and co-operation, compensation and rewards, facilities, job satisfactory and security, and general factors. The Study helps to identify reasons for employee absenteeism in production division. Sample of 180 employees responses were considered for the study from the universe and the data were analysed, statistically. The study shows that the major factors like wages, other source of income, and bad relationship with supervisors were contributing to the major absence of employees from work. This clearly indicates that work environment, relation and co-operation, facilities provided by the organization and job satisfaction were the main components which are causing the employee absenteeism.

The main purpose of this research work is to present a reliability analysis of a two dissimilar parallel unit framework under the presumption that a framework’s unit may also fail during the preventive maintenance (PM). Only one repair man is available with the system. It has been assumed that he is well capable of doing every repair work including preventive maintenance. Here in this work we have assumed that failure and repair times of each unit are correlated. Utilizing regenerative point strategy different reliability attributes are obtained which are very much helpful to system/ framework designers and company managers. Graphical practices of mean time to system failure and profit/cost function have been studied.

Two sets of nine different silicon carbide particulate (SiCp) reinforced Al 7075 Metal Matrix Composites (MMCs) were fabricated using liquid metallurgy stir casting process. Mean particle size and weight percentage of the reinforcement were varied according to Taguchi L9 Design of Experiments (DOE). One set of the cast composites were then heat treated to T6 condition. Optical micrographs of the MMCs reveal consistent dispersion of reinforcements in the matrix phase. Mechanical properties were determined for both as-cast and heat treated MMCs for comparison of the experimental results. Linear regression models were developed for mechanical properties of the heat treated MMCs using list square method of regression analysis. The fabrication process parameters were then optimized using Taguchi based grey relational analysis for the multiple mechanical properties of the heat treated MMCs. The largest value of mean grey relational grade was obtained for the composite with mean particle size 6.18 µm and 25 weight % of reinforcement. The optimal combination of process parameters were then verified through confirmation experiments, which resulted 42% of improvement in the grey relational grade. Finally, the percentage of contribution of each process parameter on the multiple performance characteristics was calculated through Analysis of Variance (ANOVA).