Transportation of hazardous materials play an essential role on keeping a friendly environment. Every day, a substantial amount of hazardous materials (hazmats), such as flammable liquids and poisonous gases, need to be transferred prior to consumption or disposal. Such transportation may result in unsuitable events for people and environment. Emergency response network is designed for this reason where specialist responding teams resolve any issue as quickly as possible. This study proposes a new multi-objective model to locate emergency response centers for transporting the hazardous materials. Since many real-world applications are faced with uncertainty in input parameters, the proposed model of this paper also assumes that reference and demand to such centre is subject to uncertainty, where demand is fuzzy random. The resulted problem formulation is modelled as nonlinear non-convex mixed integer programming and we used NSGAII method to solve the resulted problem. The performance of the proposed model is examined with several examples using various probability distribution and they are compared with the performance of other existing method.

Process of handling equipment selection is one of the most important and basic parts in the project planning, particularly mining projects due to holding a high charge of the total project & apos; s cost. Different criteria impact on the handling equipment selection, while these criteria often are in conflicting with each other. Therefore, the process of handling equipment selection is a complex and multi criteria decision making problem. There are a variety of methods for selecting the most appropriate equipment among a set of alternatives. Likewise, according to the sophisticated structure of the problem, imprecise data, less of information, and inherent uncertainty, the usage of the fuzzy sets can be useful. In this study a new integrated model based on fuzzy analytic hierarchy process (FAHP) and fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) is proposed, which uses group decision making to reduce individual errors. In order to calculate the weights of the evaluation criteria, FAHP is utilized in the process of handling equipment selection, and then these weights are inserted to the FTOPSIS computations to select the most appropriate handling system among a pool of alternatives. The results of this study demonstrate the potential application and effectiveness of the proposed model, which can be applied to different types of sophisticated problems in real problems.

This paper presents on experimental investigation of the machining characteristics of different grades of EN materials in CNC turning process using TiN coated cutting tools. In machining operation, the quality of surface finish is an important requirement for many turned work pieces. Thus, the choice of optimized cutting parameters is very important for controlling the required surface quality. The purpose of this research paper is focused on the analysis of optimum cutting conditions to get the lowest surface roughness and maximum material removal rate in CNC turning of different grades of EN materials by Taguchi method. Optimal cutting parameters for each performance measure were obtained employing Taguchi techniques. The orthogonal array, signal to noise ratio and analysis of variance were employed to study the performance characteristics in dry turning operation. ANOVA has shown that the depth of cut has significant role to play in producing higher MRR and insert has significant role to play for producing lower surface roughness. Thus, it is possible to increase machine utilization and decrease production cost in an automated manufacturing environment.

Construction projects are conventionally analyzed considering factors such as cost and completion time. The present paper focuses on the projects particularly dealing with the house or building. The paper aims at an objective of introducing a synergy between project and supply chain management. After a brief relevant literature review, major construction activities have been discussed and the associated synergy between project management and supply chain concepts has been explained. Applications of the supply chain concepts such as forward and reverse logistics along with the customer order decoupling point in the context of construction management are discussed as a result of the proposed development. For this purpose, a categorization of construction product is developed on the basis of land and building characteristics and it is the major contribution of the present paper. This is also expected to be useful for estimating lead time and availability of the product in the context of relevant supply chain, and an associated managerial implication.

Wee et al. (2007) developed an optimal inventory model. In this technical note, we point out a contradiction between Wee et al. & apos; s model and their assumption. A corrected model is developed based on their assumption. Numerical examples show that in terms of the two decision variables, there is a significant difference between the corrected model and Wee et al. & apos; s model. The results also show that that the penalty of using Wee et al. & apos; s model can be significant under certain situations.

The proposed study of this paper present an empirical investigation to detect important factors impacting on food market using factor analysis. The proposed study designed a questionnaire, distributed among 207 customers who were regular customers of two food chains in city of Tehran, Iran named Shahrvand and Hyperstar. The results of our survey indicate that six major factors including brand loyalty, physical characteristics, pricing effects, performance characteristics, brand relationship and brand position influence food industry, significantly. In terms of the first factor, brand loyalty, “Trust”, “Packaging design characteristics”, “Competitive pricing strategy”, “Stability in quality”, “External relationships” and “Meeting expectations” are important factors in different categories.

This paper presents an empirical investigation on procrastinating behavior among some high school students in city of Esfahan, Iran. The proposed study uses APSS test developed by Solomon and Rothblum (1984) [Solomon, L.J., & Rothblum, E.D. (1984). Academic procrastination: Frequency and cognitive-behavioral correlates. Journal of Counseling, 31, 503-509.]. The study selects a sample of 60 students who were enrolled as secondary high school in city of Esfahan, Iran. The study performs some intervention sessions including seven 75-minute sessions and finally post-test has been performed. The results of ANOVA test between these two groups of pre-test and post-test have revealed that the sessions could help students reduce their procrastination and increase their motivation on their education.

This research surveys the relationship between emotional intelligence and organizational indifference through a commitment. The study first presents theoretical models over the investigation then six hypotheses are developed based on the conceptual model for this opinion. Questionnaire contains 16 questions for organizational indifference and 20 questions for organizational commitment and 23 questions for emotional intelligence. The Cronbach & apos; s alpha of organizational indifference questionnaire is 0.938 and the Cronbach & apos; s alpha of organizational commitment questionnaire is equal to 0.802 and Emotional Intelligence questionnaire reliability coefficient is 0.961. Both questionnaires maintain sufficient reliability because their Cronbach alphas are more than 0.7. The sample size is chosen according KREJCIE and Morgan table and is equal to 235 people. Kolmongrov – Smirnov test is used for normality of the obtained data. Research hypothesis and the correlations between variables are tested by Spearman correlation test. The results imply approval of all research hypotheses and significant relationship between emotional intelligence and organizational indifference.

This paper presents an empirical study to investigate the relationship between organizational justice and professional commitment in Kermanshah official organizations. The study uses 20 questions to measure professional commitment from a questionnaire originally developed by Spell et al. (2007) [Spell, C. S., & Arnold, T. J. (2007). A multi-level analysis of organizational justice climate, structure, and employee mental health. Journal of Management, 33(5), 724-751.]. In addition, the study adopts 12 questions from another questionnaire developed by Vallas (1999) [Vallas, S. P. (1999). Rethinking post?Fordism: The meaning of workplace flexibility. Sociological theory, 17(1), 68-101.] to measure organizational justice. Cronbach alpha for organizational justice questionnaire and professional commitment are 0.81 and 0.89, respectively, which are well above the minimum acceptable level. Based on the results of this survey, there is a positive and meaningful relationship between organizational justice and professional commitment. The implementation of the linear regression analysis also reveals that there is a positive and meaningful relationship between inter-organizational justice and professional commitment. The study performs Freedman test to rank three components of organizational justice and the results indicate that interactional justice maintains the highest level of importance while distributive justice comes last in terms of priority.

This paper presents an empirical study to investigate the relationship between intellectual capital and organizational entrepreneurship. The proposed model of this paper designs a questionnaire and distributes it among some employees of Islamic Azad University of Semnan branch. For the proposed study, organizational entrepreneurship is considered as independent variable and intellectual capital components are considered as dependent variables. The questionnaire consists of 25 questions in eight different categories. In order to validate the overall questionnaire we have used Cronbach alpha where it was 72.9 for intellectual capital and it was 79.2 for Intrapreneurship. The results of testing various hypotheses indicate that there were positive and meaningful relationships between these two components.