فصلنامه مدیریت زنجیره تامین
پیاپی 51 (بهار 1395)

Development of monitoring systems to Fault detection, in Offensive and defensive systems, UAV, aircraft and other complex systems technically make it possible and favorable, Predictive diagnosis of faults.
Health management model and predict equipment failures (PHM) were created in recent years by formation a strong bond of Science in Engineering, Computer and reliability. For this reason, more intelligent approaches in maintenance, have been using in intelligent fault diagnosis and prediction. Discovering useful knowledge about the diagnosis faults and life prediction of military equipment and determine the readiness of equipment can be effective to determining the ability continuity preparedness of equipment in military missions in battle situations. The problem is how we can present the method for determining the ability continuity preparedness equipment in military missions in battle situations?
In this study, by using PHM system, equipment, component or system health can be known at any point and time and prevent the occurrence of failure, also, it is possible to achieve a zero defects.
On the other hand, in defense equipment’s and systems, it will be prevented of sudden failure of the entire system of creation and of human and financial costs resulting from the irreparable avoid this problem, so, the aim of this research is a continuation of equipment in the military mission .

One of the most important issues in supply chain management in different companies, including automotive part manufacturing companies, is evaluation and selection of suppliers. This action is depended on quality management system requirements that must be based on performance and actual ability of suppliers. The analytic hierarchy process (AHP) is one of the most widely used method in the field in which that evaluate suppliers proportionally. While automotive companies, prioritize suppliers should be done according to the actual situation and the relative valuation should be avoided. This means that the assessment and prioritization of suppliers with respect to its performance, should be carried out independently. This paper has been present a methodology for independent assessment of suppliers in the automotive supply chain that the pairwise comparisons were used to determine the weights of evaluation criteria and calculation of points for suppliers to independently done. Then, by ABC analysis, the logical relationship between the volume of orders and suppliers grade is established. The methodology assumes suppliers have been identified in the initial assessment in production capacity and have been had the required infrastructure and facilities to meet the needs of the company. In this methodology can be a set of qualitative and quantitative criteria to be considered together.

Globalization, increasing the global regulations of governmental and non-governmental organizations and customers’ request regarding to environmental compliance issues have led to organizations considering the green supply chain management to improve the environmental and economical performance. In order to maximize the efficiency of energy consumption and resources across the supply chain, green supply chain management is unifier the supply chain management with environmental requirements in the all processes of product designing, selecting and supplying of raw materials, producing and manufacturing, distribution and transition processes, delivery to the customer and finally, recycling and reusing management after consumption. This paper have studied and recognized the necessary requirements (stimuli, barriers, operations and results) for achieving to green supply chain management in the petrochemical industry. Then, have been extracted the necessary measures to achieve a green supply chain. These measures are prioritized using analytic hierarchy process of weighting and by weighted average method.

In this paper, tender problems in an automobile company for procuring needed items from potential suppliers have been resolved by the learning algorithm Q.
In this case the purchaser with respect to proposals received from potential providers, including price and delivery time is proposed; order the needed parts to suppliers assigns.
The buyer’s objective is minimizing the procurement costs through learning from previous tenders.
We consider this problem as a markov decision problem in which each action is depend on the last state and last action. To resolve this problem, a type of reinforcement learning algorithms (Q-Learning) is developed; in which the particle swarm optimization algorithm is applied to select the optimal action as an optimal action-selection policy in Q-Learning algorithm. In comparison to this algorithm in which the action-selection policy is greedy, this proposed algorithm is more effective and efficient.

In line with the efficiency is the principle of all organizations and planning managers, everyone is trying to identify the recovery factors and increased productivity,, according to the concerns of managers and support centers regarding to improve performance seems that education is part of the concerned and eliminates concerns that in this case the need for education in the logistics and the importance of its holding will be serious, and also The stability and continuity of training is necessary to study the factors affecting it. So The aim of study is to evaluate training Logistics ( logistics ) in the transport sector and mobility ( transportation of personnel and equipment) in the training center of shahid dastvareh on performance of the support centers.
The research is a sort of functional goal and its methodology will be survey descriptive and quantitative data collection tools have been used of questionnaire.
The statistical population is 140, the number of 22 questions based on operational definitions of the variables in the form of a questionnaire using a range Likert response to the 20 questions has been prepared for the job behavior and for learning from pre-test and post-test and the results were used to estimate because of the lack of necessary information.
The analysis of this study is conducted based on Kirkpatrick's four-level evaluation. In this method the efficacy of education in the field of mobility and transport logistics model has been assessed with four levels (reaction, learning, behavior and results).
As a result the findings of the assessment of learning outcomes at the level of 76.53% reaction, learning78.77% and behavior 72.72% is obtained, which was perfected with job evaluation selective model (Kirkpatrick) and the positive average of courses in Logistics at the top 76% is finally presented proposals to address the shortcomings of the users.

In this paper, for the first time, blood inventory-routing problem (IRP) is defined and a mixed integer linear programming formulation is presented. To do so, the concepts of assigned inventory, transfusion to crossmatch ratio, crossmatch release period, older-first policy and order-up-to level inventory policy along with perishability considerations are incorporated into the latest inventory-routing problem formulations. The proposed model is solved to optimality using a new branch-and-cut (B&C) scheme. A new subtour identification process has been developed and incorporated into the body of the B&C approach. Moreover, a real case study for Sari community blood center (CBC) is taken into consideration. Furthermore, the superiority of the proposed model over the existent literature is indicated using numerical results. Finally, conclusion is provided and future research directions are discussed.

Today, the benefits of organizations cannot be achieved by one organization alone, because the organizations are trying to make their business focus on core competence, and they outsourcing other activities to other organizations. Iranian organizations have long spoken of IT outsourcing is a form of serious issues; So managers need to increase their knowledge and techniques in the field of IT outsourcing and decision making methods. This paper presents a quantitative model to rank the IT outsourcing options presented which is used SWOT analysis and the analysis network process (ANP).
Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis is an important support tool for decision-making, and it commonly used as a means to systematically analyze an organization’s internal and external environments. SWOT analysis, does not provides the possibility of determining the importance of the criterion or the ability to evaluate options to make decisions according to these criterions. Analytical Network Process (ANP) is recommended to analyze the structure of the outsourcing problem and determine weights of the criteria, and final ranking as well as using this method can be considered the inner dependency among the main criteria. The results of the case studies show that taking into account dependencies reduces the weight of the strengths and weaknesses and increase the weight opportunities and threats.