Journal of Applied Research on Industrial Engineering
Volume:2 Issue: 2, Spring 2015

Planning and scheduling are among the most important parts of the management’s duties. Development of an efficient scheduling method can results in productivity improvement of an organization. Given the importance of production scheduling in an organization, this research seeks to propose a solution for one of the important problems for the production managers. This problem occurs if a considerable percentage of available production times is allocated to machine setup times. The objective of this research is to find a scheduling method to reach minimum of total production time, earliness and tardiness times. In previous researches not all effective factors on this scheduling method such as machine idle times and machine setup costs have been studied simultaneously. A mathematical model for the optimization of multi-product single-machine scheduling problem have been developed which considered sequence dependent setup costs, costs due to delay in delivery, holding costs, and costs related to machine idle time. Comparative results for the random small size test cases show that the proposed mathematical model can obtained an optimal solution in a relatively low computation time, however, for the large-scale cases this model is not efficient and an approximate method is required for these cases.

The objective of this study is to investigate the relationship between the ability to apply quality cost information and planning and implementing quality improvement activities. The factors leading to increase in application capacity of quality cost information in organizations are also explored in this study. The research model explains how the application capacity of quality cost information affects the planning and implementation of quality improvement activities. The research model and assumptions are examined through “structural equation model” testing approach. The findings of this research show that there is a positive and direct relationship between the application capacity of quality cost information and planning and implementation of quality improvements activities. The data used in the present study were gathered from 102 Iranian companies manufacturing automotive spare parts. Due to the volume of samples, there are limitations in generalizing the study results. This study, through identifying the factors influencing the increase in ability of an organization to apply quality cost information, offers a framework for investment and improvement of these factors with the aim of using quality cost information.

To achieve the business goals, projects must be accurately done by project-based organizations. So, the aware of project performance is vital for this type of organizations. Given the projects play an important role in the development of any society, so the use of the best ways to implement, is very important. One of the most important methods employed is agile project management .method that the purpose of the application of this approach is delivering value to the employer. The employer in this project plays an important role. The contractor will also have an important role in the implementation of projects, knowledge of the perceptions of the employer and contractor project management agility standards play an important role in improving implementation of the projects. The purpose of this paper is that examine the criteria for agile project management, then compare it with the traditional method. Therefore, evaluates the projects in Foolad Technique according to perception of contractors and employer of the criteria for agile project management agility using MCDM. From 6 project which studying in Foolad Technique, project of Foundation equipment Abarkooh rolling Hall, received the highest level of priority based on perception of contractors and employers. The managers can increase and estimate the agility level of their organization through knowing and using these criteria.

In this research, a new model for ranking is presented based on sum weights disparity index in data envelopment analysis in fuzzy condition. Using disparity index, the input and output of data envelopment analysis is considered according to similarity in one category and, units with the efficiency one can be ranked with this method. The new approach of this research is the evaluation of this model in uncertainty conditions and in fuzzy state. In fuzzy conditions, a new model can be provided and used when there are no definitive data and the application of this model can get closer to the actual situation. In this study, to prove the adequacy of the model, the numerical example is assessed and the results of the proposed model is compared with the results of the fuzzy BCC model; the obtained results are indicative of the superiority of the proposed model.

Customer relationship management (CRM) and innovation are widely considered to be valuable capabilities associated with competitive advantage. CRM is a comprehensive guideline and process of management and data sharing with key customers to prompt supreme values of partnership and customers. Innovation is an important factor in setting successful mature firms apart from their competitors. Innovation capability assessments are methods to evaluate the innovation capability of enterprises, in particular, for the identification of their strengths, the improvement of their potentials, and for a good basis for a sustainable improvement of the innovation capability. The propose of this study is choosing the most effective dimensions of CRM by using the hybrid approach of Decision Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP). Thus, based on experiences of the industry firm, we draw the causal relations among innovation capabilities using DEMATEL mathematical model and determine their effects on each other. Then based on these causal relations, we choose the most effective dimensions of CRM by using the ANP model. At the result, “long-term cooperation” has the best score and can be said that it is the most effective dimensions and And then respectively followed by Customer relationship management technology-oriented, Customer participation, information sharing and consultation on problems.