Project Management
Nima Moradi; Shahram Shadrokh
Abstract
One of the classes of the project schedule is the Material Procurement Scheduling (MPS) problem, which is considered besides the material allocation to warehouse (MAW) problem recently. In the literature, the Simultaneous Solution of MPS-MAW is investigated by considering one warehouse and unlimited ...
Read More
One of the classes of the project schedule is the Material Procurement Scheduling (MPS) problem, which is considered besides the material allocation to warehouse (MAW) problem recently. In the literature, the Simultaneous Solution of MPS-MAW is investigated by considering one warehouse and unlimited capacity of the warehouses most of the times. In this paper, we propose the propositional and mathematical model of the simultaneous MPS-MAW with multiple warehouses and the limited capacity at the whole of the horizon planning for each warehouse. The proposed model aims to obtain the best ordering point, selection of the best suppliers, the best activity start, and the fair material distribution to the warehouses as possible by the given objective function. The proposed model is NP-hard, so a metaheuristic namely simulated annealing is proposed to reach the acceptable but not optimal solutions in a short time. Also, to overcome the complexity of the model, the encoding of the decision variables have been done by adding the auxiliary variable. Comparing the solutions of the small problems with the exact methods shows the validation of the proposed SA. Also, the design of experiments shows the significance of the model and each SA parameters. Finally, by the optimum values of the SA parameters, the large problems have been solved at acceptable times.
Performance evaluation and benchmarking
Nima Moradi; Hossein Malekmohammad; Saeed Jamalzadeh
Abstract
Nowadays, due to continuous changes in the environment of organizations, the performance evaluation of productive or non-productive companies is not as simple as the past. In spite of the high sale and income of existing companies in the game industry, there are always unsuccessful game products and ...
Read More
Nowadays, due to continuous changes in the environment of organizations, the performance evaluation of productive or non-productive companies is not as simple as the past. In spite of the high sale and income of existing companies in the game industry, there are always unsuccessful game products and failed companies. So the digital game industry needs an appropriate performance evaluation system. In this paper, a model for performance assessment of companies in the digital game industry is proposed using integrated Analytic Hierarchy Process (AHP) and Balanced Scorecard (BSC) approach. In order to design the evaluation system, the strategies and visions of the game companies are extracted as the initial step. The next step is to extract corresponding attributes and measures based on the four dimensions of the Balanced Scorecard. In the following, the weights of each measure, attributes and dimensions are obtained based on the expert’s opinion. Finally, the results of the implementation of the proposed model of the digital game company are calculated and the efficiency of the model for performance evaluation of the digital game industry is shown.