Wyniki wyszukiwania - BazTech

1

Ranking new comers to work based on commitment propensity through hybrid method of AHP and TOPSIS

Safari H., Cabrita M. R., Hesan M., Maleki M., Mirzaeirabore F.

Management and Production Engineering Review

|

2018

|

Vol. 9, No. 4

86--95

EN

This research provides a tool to select and prioritize new comers to work based on their preentry organizational commitment propensity through examining links between the big five personality factors: extroversion, agreeableness, conscientiousness, neuroticism, openness; and three component model of organizational commitment: affective commitment, continues commitment, normative commitment. Findings show that extroversion and openness respectively have positive and negative effects on all three components of organizational commitment. Results gained by Structured Equation Modelling (SEM) indicate neuroticism is negatively related to affective and continues commitment and positively to conscientiousness effects on continues commitment. In the second part of the study, the received results are applied to extract the general equations that enables to estimate new comer’s pre-entry organizational commitment and to rank them using TOPSIS and AHP. The AHP is used to determine the relative weights of commitment criteria and TOPSIS is employed for the final ranking of new comers based on these criteria’s.

2

The impact of knowledge management practices on supply chain quality management and competitive advantages

Azizi R., Maleki M., Moradi-Moghadam M., Cruz-Machado V.

Management and Production Engineering Review

|

2016

|

Vol. 7, No. 1

4--12

EN

Achieving competitive advantage enables an organization to create a defensible position against its competitors. It also allows organizations to differentiate themselves from competitors. This study aims to investigate impact of knowledge management practices on supply chain quality management and competitive advantage in Alyaf Company, Iran. This research is functional in purpose and data gathering and data analysis is descriptive-correlation. The statistical population is consists of 25 company executives and experts in the supply chain of Alyaf Company; opinions of 68 of its members were used as a selective sample identified by simple random sampling method. Primary data was collected through questionnaire and structural equation modeling was used to assess relationships between variables. The results of structural equation modeling show a positive and significant causal relationship between knowledge management practices and supply chain quality management. Direct relationship between knowledge management and competitive advantage was not confirmed but the relationship between these two variables was confirmed indirectly.

3

Multidimensional personnel selection through combination of TOPSIS and Hungary assignment algorithm

Safari H., Cruz-Machado V., Sarraf A. Z., Maleki M.

Management and Production Engineering Review

|

2014

|

Vol. 5, No. 1

42--50

EN

This paper proposes an effective solution based on combined TOPSIS and Hungary assignment approach to help companies that need to assign personnel to different departments. An extension of TOPSIS (technique for order performance by similarity to ideal solution) combined by Hungary assignment algorithm is represented for this purpose. According to decrease resistance of employee opposite of recruitment of new employee, Decision criteria are obtained from the nominal group technique (NGT) and managers of each departments has been involved in decision making process. In the presented solution, managers of four departments have been involved in evaluating four candidates for their department and data is analyzed by TOPSIS and at the end, an effective fit between personnel and their corresponding department is presented.

4

An empirical review on supply chain integration

Maleki M., Cruz-Machado V.

Management and Production Engineering Review

|

2013

|

Vol. 4, No. 1

85-96

EN

The purpose of this research is to review a sample of literature in the area of supply chain integration. Considering the extensive amount of literature on supply chain integration, it appears that it is still in its infancy. This study reviews a sample of 152 articles and in doing so throw light on different aspects of supply chain integration namely: vertical integration, functional integration, integration models .It discusses and criticizes the current state of literature on this context so that future researches find directions to contribute to missing points and remove obstacles. The scope of this review is limited to a cross-section of the literature in this area. As such, it cannot, and does not, attempt to be an examination of the full range of the literature, but a sampling of important and influential works.

5

Reliability estimation for manufacturing processes

Kostina M, Karaulova T., Sahno J., Maleki M.

Journal of Achievements in Materials and Manufacturing Engineering

|

2012

|

Vol. 51, nr 1

7--13

EN

Purpose: of the current research is to develop a reliability assessment method with an extension of the existing ones and pooling them to a common framework. The system must identify the most unreliable parts of a production process and suggest the most efficient ways for the reliability improvement. Design/methodology/approach: FMEA is in the centre of the proposed framework,a reliability analysis type, the most widely used in enterprises. The current research suggests to extend the FMEA by introducing a classification of faults. In this procedure, Bayesian Belief Network is employed to analyze faults. Findings: An integrated modelling method based on a system modelling and complemented with a reliability evaluation mechanism has the capability to analyse and design manufacturing systems. The tool developed to analyse a production process, enables companies to analyse the process as a whole as well as its parts and achieve efficient prognosis for the production process reorganization. Research limitations/implications: The reliability analysis framework is developed for machinery manufacturing enterprises. Practical implications: The reliability assessment tool helps engineers quickly and with accurate estimate most unreliable places of production process and indicates ways of their elimination with great efficiency. Originality/value: Expansion of FMEA method, application of Bayesian Belief Network for process reliability estimation, usage of reliability estimation during production route creation.