Industrial Management Perspective
Year:2020 | Volume:10 | Issue:1 (37)|Papers Count:7

Iran's construction industry has faced some problems in recent years, including rework, high costs and design errors. Engineers in this field have always emphasized the use of modern methods of building modern technologies and technologies to improve quality, reduce time, cost and increase productivity. One of these technologies is building information modeling technology, which has been very difficult to adopt and implement in this country. The purpose of this research is to present a systemic and holistic model to analyze the dynamics of adoption and implementation of this technology in Iran. For this purpose, a hybrid research method is designed, so that in the first phase using the grounded theory, a conceptual model of technology adoption is presented, and then using a system dynamics approach, a quantitative mathematical model with simulated decision consequences is presented. Four policies under the scenarios were implemented on the model. The results show that government support consisting of a set of measures is the most efficient solution to develop adoption and implementation of this technology.

New product development is an essential requirement in any company and every company needs to develop its technology and products to survive in a competitive market. Most organizations nowadays have more than ever realized that relying on traditional competitive levers such as quality enhancement, cost reduction and differentiation is not enough to provide products and services, but it is important to pay attention to new product entry as well as early product exit. In this research we examine supply chain network design when a new product is added to the product line. Also, the important topic of customer relationship management, which is one of the factors driving the increase in product sales as a result of profitability for the organization, has been designed as a mathematical model. Finally, an improved version of the benders decomposition algorithm is presented as the accelerating benders for the proposed problem. The computational results show the superior performance of the solution method.

Organizations and companies are always looking for accurate, timely, and quality performance of their activities and projects, often through the proper management of different dimensions of activities and projects. The topic of motivation and reward of employees and managers in project activities is part of the human resource management discussed in this article. In the mathematical model of this paper, three bases are assigned to each individual reward in each project: project strategic importance, project performance evaluation, and individual role in the project. The model provided by these fundamentals and the limitations of organizational resources assigns each individual to each reward project. How to calculate reward in a way that takes into account financial constraints, first, encourages employees to define projects that are more in line with the goals and strategies of the organization, and second, encourages them to commit to the project's quantitative and qualitative requirements. At the end and via a case study, the model is implemented in Iran Argham and the results show the improvement of company projects' performance in terms of time, cost and quality of deliverables.

Supply chain collaboration as a collective approach to compete against rivals, aims to improve performance of supply chain. In order to develop collaboration across supply chain it is vital to identify factors affecting collaboration and their interactions. to do so, we have proposed a hybrid methodology to develop a model of factors affecting supply chain collaboration. In first step, Systematic Literature Review was used to identify factors affecting supply chain collaboration. Then, Discrete Consensus Support Model was employed to make close consensus among experts and to select the most preferred factors. In next step interpretive structural modeling and fuzzy cognitive maps were used to develop hierarchical structure of interactions among factors and also to determine the strength of causality relations. Simultaneous use of these two methods compensates the weakness of both methods by developing a quantified structural model of factors affecting supply chain collaboration. The developed model provides useful information about relationships among factors and also the strength of these relations which facilitate the decision-making process for managers of home appliance companies to develop collaboration.

The purpose of this study is to introduce a method to improve innovation diffusion by using agent-based modeling. In this regard, an operational analysis to create agent-based modeling is investigated. agent-based model of this research is carried out in combination with the bass model. in this model, inputs include advertising effects and word-of-mouth effects estimated using the bass diffusion model. output of the model is also the total number of innovation adopters at each time step in the potential market that has been validated after the model has been correspond to real data (diffusion of television in Iran). to be more correspondent to real-world, the agent-based model is developed by preferential attachment-based network. after creating the model, the validation and verification were carried out by experiments and the operational analysis of the agent-based modeling. after model validation, we examine our method (using artificial innovators) for improving the diffusion of innovation. after validating the model, the proposed method for improving innovation diffusion through ten scenarios is investigated. in addition, a proposed criterion for analyzing the output of the innovation diffusion is presented, which is used to analyze the outputs. after the analysis, the method of artificial innovators was effective.

The present study aims to provide a framework for evaluating the performance of the organization using two prominent methods of data envelopment analysis and balanced scorecard, so that the organization can implement the process of performance evaluation with comprehensive and comprehensive metrics that translate strategies and long-term objectives of the organization. In this research, the efficiency of 20 branches of Sina Bank using indicators that were selected according to the strategies and long-term objectives of the organization in four stages using the DEA model in each of the four perspectives of the balanced scorecard based on the cause and effect relationships of the four perspectives was calculated. Then, the efficiency of the branches is calculated without considering the cause and effect relationships of the four perspectives of the balanced scorecard and the dynamics of the internal organization processes. After determining the efficiency of the branches, for inefficient branches in each of the four perspectives of the balanced scorecard, the benchmarks were introduced from efficient branches and performance improvement solutions were presented for inefficient branches.

In this paper the integrated Master Surgical Scheduling program and Case Mix Planning is investigated. A new two-step approach is proposed for creating and updating this program. In the first step, a model is proposed for creating master surgical schedule considering the demand distributions of different surgery kind of each surgeon. In the second step, having the weekly waiting list of patients, a model is proposed for updating this program in order to cope with demand fluctuations and maximize the use of operating rooms capacity in weekly period. In this paper the limitation of down-stream resources is also considered. Three objectives are considered for this problem: minimizing over time cost and idle time cost of operating rooms, maximizing the surgeons’ preferences and minimizing the not fulfilled demand. The real data from Al-Zahra hospital of Isfahan, Iran is used to evaluate the models and analyze the results. The proposed approach is evaluated using these real data in several problem instances. The experiments show that the proposed approach leads to better results than real program of hospital with significant different which displays the efficiency of the proposed approach.