فصلنامه پژوهش های کاربردی در مهندسی صنایع
سال یکم شماره 2 (پاییز 1397)

In many cases, the issue of classification and rating the projects in project based organizations is great importance. In fact, rating and project selection means prioritization among some projects and allocating the resources between them in other to maximize the organizations profit. Some factors are involved in selection of the best layout of projects. Due to the fact that the degree of importance of criteria and satisfying the criteria are usually uncertain and ambiguous, in this study, by implementation of linguistic varuable and fuzzy set theory criteria are weighted and consequently using the fuzzy multi criteria decision making, the projects are rated and prioritized. This method was implemented in a project based company as a case study and using the its experts comments and Delphi fuzzy method project scores and criteria weight were collected. Then using the mentioned fuzzy method, rating and prioritization of the projects of this company is done.

effective performance in the supply chain network depends on inventory management in the entire supply chain network. In this study, a simulation based on the comparison and analysis of  single-layer inventory management systems for multi-product supply chain network of deteriorating and non-deteriorating  items has been done. In single-layer inventory management, The focus is on the optimization of each node and Dependence among nodes in the supply chain network is ignored. usually the effects of deterioration of goods in management inventory systems is not considered,but if The rate of deterioration items was high, organization can't ignore the  effect of this  on the model. In this study, a mechanism is provided for selling  these items before reaching their expiry date to avoid the detriment of the organization as much as possible. supply chain modeled and simulated with tecnomatix software. scenarios of  experimenting is generated with genetic algorithms and simtalk code. Experiments collect data to measure the performance of single-layer for two nodes of the supply chain contains store and distribution center is done . then we use the information collected to optimize inventory levels and compare these two nodes with each other.