Industrial Management Perspective
Year:2018 | Volume:8 | Issue:29 |Papers Count:7

Recently, the combination of modeling methods to overcome the complexity of the socio-technical systems are prevalent. However, these combinations have done without considering the compatibility of them in theoretical and tool level. Therefore, the current study proposes a guide framework to synthesize the modeling methods of socio-technical systems. To achieve this aim, a critical interpretive meta-synthesis has been developed. As a result, 12 descriptive themes are identified and categorized in five synthetic constructs. Then, position of the methods in these constructs are specified and five analytic constructs are determined. In addition, to show that how the framework works, the possibility of synthesis of strategic choice approach as a modeling method with other methods is investigated.

Balance growth in economic, social and environmental dimensions, can ensure long-term success of any supply chain and considering these dimensions in designing and planning of supply chain is the cause of configuration of sustainable supply chain. On the other hand, integrity of financial and physical flow of supply chain plays a key role in success of supply chain to achieving its goals. Therefore, an integrated financial-physical planning model for closed-loop sustainable supply chain is proposed in this paper. Objectives of proposed model are maximizing profit, minimizing environmental and social effects and minimizing deviation of financial indicators from desired values. In order to cope with multi-objective nature of the problem, goal programming approach is implemented. Proposed model encompasses production, distribution and collection plan which is implemented in a real case in plastic recycling industry. Results of research prove effectiveness of considering financial indicators in master planning of sustainable closed-loop supply chain.

Designing the business portfolio is a key decision in corporate-level strategy and is bonded with strategic concepts such as vertical integration and diversification. Nevertheless, most of the previous researches have proposed general conceptual models, or investment portfolio optimization models based on financial approach. In this paper, a mathematical model is proposed, firstly to utilize quantitative methods in strategic decision makings and secondly, to considers non-financial, strategic variables in modeling process. To address this need, a mathematical framework for formulating synergies between businesses in a value chain is developed. Although the conceptual structure is applicable for different industries, the model is developed for a multi-business company in petroleum industry of Iran.

The two-stage assembly flow shop with setup times is one of the new production scheduling problems. In this problem, the parts are produced in the first stage and then they are assembled in the second stage. The objective is to sequence parts in the first stage to minimize the makespan. First, a mathematical model in form of a mixed integer linear programming model is developed. Then, to solve the problem, two metaheuristics, imperialist competitive and genetic algorithms, are proposed. The performance of the model and the two algorithms are evaluated by numerical experiments. The result show that the imperialist algorithm works more effectively.

Moving toward process-oriented approach makes a requirement for managers to assess and review their process. If this issue doesn't occur, organization face with a set of problems such as increase cost, waste of time, and low productivity. Because of web based process in these decades, extracting and analyzing data for these processes is one of the newest area in research. Therefore, the present study wants to analyze one of the processes of Persian Gulf University by using existing data and using process mining technique. For data analysis, Microsoft Excel and Disco software were used. Results show that the process averagely performed in 51 days and 7 hours and the main bottleneck of the process is in the evaluation of staff's grade committee (39 days after accepting the request by the head of institute and 34 days and 3 hours after approving a request by the head of faculties).

The main source of success in achieving competitive advantage for the future companies is the successful and continuous development of new and improved products. Identification of critical success factors in development of new products in the freamwork of business strategies has caused researchers to make many researches. This study aims to increase customers’ acquisition rate through the identification and prioritization of the key factors in development of new product. For this purpose the Bass diffusion theory is used with system dynamics approach and the grounded theory. Based on a literature review and interview with experts (experts from industry and academia) this research tried to identify critical success factors for successful development of the new products. Definition of the relationships among research variables through the interview with the experts has caused to explore the variables and definition of model’ s dynamic hypothesis which considered as basis for mapping cause & effect and also stock & flow diagrams. Developing the equations related to the variables intractions and simulate them with Vensim, resulted in formulation of the research model. This model generate 4 different senarios. The results indicate that increasing the budget of R&D and Marketing simoultaneously can be more effective in customers’ attraction

In this paper, we study the facility location problem. A three-level supply chain model including plants, warehouses and retailers is presented. Different types of products are transported through different modes of transportation between manufacturing plants, warehouses and retailers. Customers' demand from retailers depends on the location of retailers and product types. Today, one of the most important challenges in organizations is controlling greenhouse gas emissions across the grid; however, given the complexity of green supply chain problems, providing a solvable model is important. In this study, in order to simplify the mathematical model, only the CO2 released in the supply chain network is considered. It is also assumed that each facility, according to demand, creates a certain amount of pollution, and the pollution created by the vehicles depends on the mileage. The proposed model aims to minimize the total network cost and CO2 emissions. The proposed solving method for solving the model is multi-choice goal programming method. In order to evaluate the efficiency of the proposed method, the results were compared with the results of the ε-constraint method and sensitivity analysis of the necessary parameters was also performed.