The relationship between personality traits and workaholism in Iranian public bank employees

Introduction: The aim of the present study was to investigate the relationship between workaholism and personality traits among bank employees. Participants in this were consisted of Iranian public banks employees working in Mellat, Keshavarzi and Melli banks' branches in three different regions known as Tehran, Rasht, and Abhar city. Methods: Sample size was calculated using Cochran formula and included 150 participants. For data collection short form of NEO-FFI questionnaire (the questionnaire for evaluating Big Five) and WorkBAT (Workaholism questionnaire) were used. Data were analyzed through descriptive and correlation analysis based on Structural Equation Modeling. Results: There was significant positive correlation between conscientiousness, openness, and extraversion with positive workaholism and positive relationship between agreeableness with positive workaholism. Neuroticism had negative correlation with positive workaholism. Also, our analysis showed that there is a significant positive correlation between conscientiousness and openness with negative workaholism and negative correlation between neuroticism with negative workaholism. There was no relationship between negative workaholism and two other components (agreeableness and extraversion). Conclusion: Workaholism has positive and negative dimensions with two different meanings. According to analysis, the relationship between personality traits and workaholism depends on the aspect that we consider. Declaration of Interest: None

A new asymmetric bounded loss-based process capability index

Process capability indices such as Cp, Cpk, Cpu and Cpl are common metrics to evaluate and predict the performance of a process. Although higher process capability indices indicate higher process “quality”, but a high quality process does not necessarily guarantee the fewer rates of rejects. Therefore, a process capability index based on rate of rejects or real losses is more reliable and proper. This paper defines a novel process capability index called asymmetric inverted normal loss-based process capability index (AIPCI) with the aid of asymmetric inverted normal loss function. The logical idea is to compare the standard loss for a capable process with other cases. AIPCI is a bounded asymmetric process capability index and can provide a more realistic metric to evaluate and predict the performance of a process

New process capability index using Taguchi loss functions

Classic process capability indices such as Ca, Cp and Cpk are well-known process capability indices, which are using widely. Since, process capability indices predict the capability of a process, they must have a significant relation with rate of rejects and losses. Studies showed that mostly process capability indices do not have a significant relation with rate of rejects or losses. Therefore, the loss-based indices are more appropriate and suitable indices to predict the capability of a process. In order to define a new loss-based process capability index, Taguchi loss functions were employed and this study proposed a novel process capability index called Taguchi-based Process Capability Index (TPCI). The methodology of this process capability index is based on standard rate of rejects for a capable process compared to other cases. Therefore, this study develops a new process capability index, which is Taguchi loss function-based and sensitive to losses. This new process capability index can provide a realistic and applicable metric to evaluate a process

An integrated approach to analyze strategy map using BSC – FUZZY AHP: A case study of auto industry

In an environment, which is highly competitive and everything changes rapidly, managers of organizations face with problems such as how to identify important factors preventing organizations from optimum use of available resources and capacities and invest more on key factors. To achieve this goal, we need to develop an effective strategy map for organizations. The strategy map is a constructional and expanding procedure to identify relationships among all the organization's strategic goals, which play a key role in achieving competitive advantage. Undoubtedly, representing a model to identify and to evaluate the important items for each of available goals in strategy map of each organization is a significant help for management to access higher competition benefits. In this paper, strategic objectives in the strategy map of one of the best producer of electric auto part makers in Iran called Electric Vehicle Co. East are evaluated based on balanced score card perspective and to assign appropriate values to available factors we use a hybrid method consist of AHP technique with Fuzzy logic

Strategic Planning for Agriculture Section using Swot, QSPM and Blue ocean- case Study: Eshraq Agro-industry company

Strategic management is defined as a set of management decisions and actions that determine a company's long-term performance and lead and control the organization so that it can quickly respond to some internal and external environmental changes. Obviously, the agricultural sector and natural resources are one of the most significant economic sectors of the country because of their vital role in providing the required food and nutritional safety. The present study aims to determine the appropriate strategies for Eshraq agro-industry Company. In this study, agricultural sector and animal husbandry strategies are determined simultaneously. The SWOT analytical framework has been used to determine the appropriate strategies. Eventually, after assessing the situations and strategic actions by the SPACE method using the QSPM strategic approach, the determined strategies have been sorted according to importance and priority which include small livestock, aviculture, aquaculture, establishing dairy plants and value-added production, developing the existing dairy cattle, increasing milk and meat production and changing land uses from farms to gardens respectively

Loss-based process capability indices: a review

Process capability indices (PCIs) are appropriate tools to measure the inherent capability of a process, but most of them do not consider the losses of a process, while in today's competitive business environment, it is becoming more and more important for companies to evaluate and minimise their losses. This paper presents a review of loss-based PCIs such as Cpm, C pmk, PCIθ, Cpc, Le and L"e. This paper also discusses characteristics of loss-based PCIs such as reject based, asymmetric, bounded, loss based and target based. Finally, recommendations were made for developing a new loss-based process capability index with more excellent specifications

Overall processes capability index for assembly production lines

This study develops a new method called Overall Processes Capability Index (OPCI) to measure the capability of assembly lines. After defining relation between percentage yield and process capability, the new definition of overall defective rate is developed for assembly lines in different cases (series and parallel processes). The interesting point is that a rejected item from one process can be assembled with one another rejected item of another process and creates one accepted assembled one. Then regarding to this point and with the aid of transforming new definition of overall defective rate to process yield, the overall processes capability of assembly production line is measured

Measuring process capability index Cpmk with fuzzy data and compare it with other fuzzy process capability indices

The index Cpmk is a well-known loss-based process capability index. It can reveal more information about the location of the process mean compared with other classic process capability indices. This index is also more sensitive than other capability indices to any deviations from process mean. When there are some uncertainties in observations, fuzzy logic can be employed to manage these uncertainties. There is some research on different fuzzy process capability indices and this paper is an extension of Tsai and Chen (2006), Chen, Lin, and Chen (2003) for the process capability index Cpmk of fuzzy numbers. In order to find the membership function of process capability index Cpmk, the α-cuts of the fuzzy observation were employed. An example of fuzzy process capability Cpmk calculator was illustrated and compared with other classic fuzzy process capability indices Cp,Cpl,Cpu,Cpk and Cpm . Results showed that fuzzy Cpmk has the advantages of both Cpk and Cpm . Since the index Cpmk is a more sensitive index compared with other classic indices, the fuzzy process capability index Cpmk can be a more sensitive fuzzy index compared with Cp,Cpl,Cpu,Cpk and Cpm

Measuring Loss-Based Process Capability Index L

Loss-based process capability indices are appropriate and realistic tools in order to measure the process capability. Among them, index Le and its generation Le′′ are well-known loss-based process capability indices, whose concepts are based on the worth (the opposite concept of loss). Sometimes, in order to calculate Le and Le′′ there are some uncertainties in observations, so fuzzy logic can be employed to manage the uncertainties. This paper investigates fuzzification of process capability index L~e and its generation L~e′′. In order to find the membership function of process capability indices L~e and L~e′′, the α-cuts of fuzzy observation were employed. Then with an example of fuzzy process capability index, L~e and L~e′′ were calculated and compared. Results showed that fuzzy L~e′′ was more sensitive compared with L~e and was increased while the target departs (asymmetric tolerance). This example also showed that, with departure from the target, variation of fuzzy L~e′′ and consequently its fuzziness were increased

A Review of Quality Criteria Supporting Supplier Selection

This paper presents a review of decision criteria reported in the literature for supporting the supplier selection process. The review is based on an extensive search in the academic literature. After a literature review of decision criteria, we discuss the most important criteria: quality. Then different methods and factors for assessing the quality of supplier are discussed. Results showed that all methods and factors mentioned in this paper are not appropriate tools for quality evaluation. Moreover, we propose a novel method (using loss functions) in order to assess the quality of suppliers