فهرست مطالب hadi balouei jamkhaneh

Short product life cycles, unpredictable demand patterns, and ever-decreasing time-to-market have put manufacturing companies under pressure. To face all complex production scenarios, these companies tend to the implementation of Cellular Manufacturing Systems (CMS) to reduce production costs, increase flexibility, and respond quickly to market demands. The cellular manufacturing system facilitates the control and management of the production system by dividing a large system into several small subsystems. The design of a cellular manufacturing system includes cell formation, group layout, group scheduling, and resource allocation. The first issue in designing a cellular system is the grouping of machines to produce a family of parts in production cells referred to as cell formation. The creation of efficient cells aims to achieve maximum performance of intracellular machines (intra-cellular processes) and minimize the transfer of parts from one cell to another (inter-cellular processes). The second problem is the problem of group layout, which includes the placement of cells in the workshop relative to each other (intercellular layout) and the layout of machines within the cells (intracellular layout). The optimal grouping of machines in cells, the efficient placement of cells relative to each other, as well as the machines inside cells affect the cost of intracellular movements and intercellular movements of parts. Considering that in a static cellular manufacturing system, the demand is considered constant in all periods, however, due to the advancement of technology, the environment of an industry is faced with turbulence in the types of products and demand. To overcome these problems, a dynamic cellular manufacturing system was introduced, which forms optimal cells in each period according to the demand conditions and changes in product composition. This study addresses the simultaneous challenges of a dynamic cellular manufacturing system (DCMS) with unreliable machines and production planning and intercellular layout problems. The proposed model seeks to minimize the costs of Inter and intra-cellula movement, reconfiguration, machine breakdown, part production, keeping parts in the warehouse, and back-ordering parts in production cycles.

At first, a mixed integer nonlinear programming mathematical model for the considered problem was presented, Next, linearized and validated with a case study in GAMS software with a GUROBI solver. In the following, the impact of moving machines between periods and the sensitivity analysis of the MTBF parameter were discussed.

Flexibility in routing, optimal location of cells, and optimal grouping of machines reduced production costs, and also by moving two machines m1 and m3, production costs improved by 353,870 Tomans.

The reconfiguration of machine cells in the new period improves the cost of production and also the model is flexible in routing part production. In this study, MTBF sensitivity analysis showed that the number of failures affects the system's performance.

According to the importance of oil, gas and petrochemical industries and their related supply chain risks, this research with the aim of identifying logistics outsourcing risks, and proposing suitable risk management strategies is done. At first, logistics outsourcing to third party logistics (3PLs) providers were identified and classified in seven categories: strategic, financial, operational, design related, quality related, economic, changes in policies and government alteration. Main data gathering tools were questionnaire and interview. In data analysis phase, firstly, fuzzy cognitive mapping (FCM) was employed for analyzing risks and their interrelationships to determine their relative weight based on centrality measure and secondly, a combination of house of quality (HOQ) and multiple objective mathematical programming model were utilized to propose relevant risk mitigation strategies. Research findings show that the risk of unresponsiveness to customer needs is the most important one, following by disruption risks in operations, and uncontrollability on logistics operations. Further, requesting letter of credit from 3PL providers, creating black list, defining very strict quality standards and limits are among the most important preventive mitigation strategies. 3PLs ranking system design, using mixed contracts, holding tenders, and special attention to local suppliers have been identified as the most important flexibility strategies to mitigate risks. Finally, the most important process strategies to risk management were identified as improving the credit of company, establishing long-term relationships with 3PLs, enhancing resilience, and demand prediction and management system.

This study aims to identify the factors affecting the coordination in the humanitarian supply chain and to provide appropriate solutions.

The techniques of Fuzzy Cognitive Mapping, Structural Equation Modeling, and Importance-Performance Analysis were used. A review of the literature and interviews with experts has led to the identification of 18 factors affecting coordination in the humanitarian supply chain, which were divided into five categories of strategic, infrastructure, cultural, process, and financial and non-financial resources.

Factor analysis using Fuzzy Cognitive Mapping (FCM) showed that cultural cohesion and cooperation between partners was identified as the most important element. Also, the interpretive structural model of the main factors showed that the strategic, infrastructural, and cultural factors were at the basic level. In addition, the importance-performance analysis was used in this study, which showed that to achieve better coordination in relief operations, long-term planning, providing efficient, effective, and planned training, as well as mutual learning, should be considered.

A potential practical implication is that actors involved in relief use the provided mechanisms such as operational and strategic planning. Social implications - By building trust and taking cultural considerations into account, it is possible to help better coordinate actors in crisis relief.

One of the important things to improve the efficiency of humanitarian aid logistics operations is to establish coordination between the various partners and stakeholders. For the first time, the factors affecting the coordination in the humanitarian supply chain have been identified and appropriate solutions have been provided in this paper.

The most important aspect of management is service quality and the first strategy in the world can be considered as customer service oriented. This study attempts to clarify the factors affecting the quality of health services using a combination approach of Fuzzy AHP - TOPSIS to rank teaching hospitals of Mazandaran University of Medical Sciences. According to purpose of this research the method was applied and descriptive survey. The population of research was teaching hospitals of Mazandaran University of Medical Sciences and four teaching hospital of Mazandaran University of Medical Sciences were selected with non-random sampling method And a standard questionnaire by a team of experts has been completed. At first according to fuzzy hierarchical analysis، the importance of service quality standards was defined and by the TOPSIS method the hospitals were ranked. Results were analyzed using Excel software. Research findings suggest that the Hospital C، Hospital B، Hospital A and hospitals D were ranked in order of the first quarter. Results from this study for managers will be very instrumental. Its place in society can properly recognize and apply strategies to maintain or improve it.

Prerequisite for implementing telemedicine for providing medical services and health is its acceptance. The overall objective of this study was investigating the factors that influence the adoption of it with using ICT. method of this study was Analysing and data collection instrument was combination of Theory of Planned Behavior and the Technology Acceptance model questionnaires. The present population of the study was physicians in Isfahan hospitals and 125 of them were selected as sample with classification random sampling. The validity of the model was performed by structural equation modeling method. For data analysis used software was SPSS19 and AMOS20. Results show that perceived usefulness (β= 0.54) and perceived ease (β= 0.43) was effective on attitude toward telemedicine usage. The findings also shown a positive effect of perceived usefulness (β=0.61) and perceived behavioral control (β=0.39) on people''s tendency toward this type of technology While the effect of subjective norm (β=0.18) on behavioral intention had not confirmed. The results suggest that the technology acceptance model and theory of planned behavior can predict people intention in application of telemedicine.

Nowadays management of physical assets is considered as one of the important fields of science and technology. Reduction of undesirable random failures and repairs is one of the most important objectives of those who utilize advanced equipments and machinery. Meanwhile, Condition Based Maintenance (CBM) has been recognized as an effective solution for the problems of technical, economic and strategic management of machinery and equipments. In this study, besides explaining the basics of this condition monitoring (CM) and existing standards, The influencing trend of CM process parameters on "increased equipment availability" have been studied in Isfahan Steel Company and, CM strategies have been prioritized using an integrated approach of Analytic Hierarchy Process (AHP) and Quality Function Deployment (QFD) towards improvement of equipment availability. Data related to house of quality is also via Likert questionnaire, have been collected between managers and experts of THE Maintenance department in the Isfahan Steel Company. The findings indicate that strategies of frequency analysis and overall vibration level with a total weight of 0.2810 and strategies of magnetic keys and filters with a total weight of 0.1026, have the most influence on increasing the equipments availability.

Simultaneity with development of science and technology, Concurrent with the development of science and technology in modern methods of obtaining information quickly, the food supply chain in the past few decades, accelerated in this regard by way of radio frequency identification (RFID) is one of the defining method to improve the competitive advantage of firms is considered. Use of RFID system is one of the best possible solutions in supply chain management and logistics problems perishable goods will be great help. This study aimed to identify and prioritize barriers and challenges in the development of RFID technology in the supply chain of food. In this study, the method of fuzzy AHP (FAHP) and QFD is used so that using FAHP relative importance of each of the food supply chain metrics designed using QFD weights and Ratings barriers and challenges of RFID in the chain, food supply was calculated. The results have shown that the lack of standards has the highest weight among other aspects. After that, the issue of data security, high price, frequency interference, the cost of system integration, hardware and software infrastructure, system compatibility, and social problems in the supply chain are respectively the highest weights.

Innovation as a important and vital factor for enterprises to create value and sustainable competitive advantage in today's environment is complex and variable. Organizations with more innovations in response to changing environments and the development of new capabilities that allow them to achieve better performance will be more successful. However, much of the innovation initiatives, is dependent on staff expertise.'s Knowledge is an important asset for organizations in developing its action occurs is important. this reason this study was to investigate the quantitative relationships between knowledge sharing, innovation and performance thereby place to share knowledge on innovation and performance for existing companies or companies that are entering the field of business, be specified. The purpose of this study applied descriptive - survey is based on a structural equation model. The study of the production managers of small and medium enterprises constitute the province. Data analysis was performed using software SPSS18 and AMOS18. Validity and content validity by confirmatory factor analysis and reliability using Cronbach's alpha coefficient equal to 0.83 was approved. Results showed that implicit and explicit knowledge sharing and innovation speed and quality of innovation and in turn affect the performance (financial, customer, internal processes), companies will leave a positive and significant effect. The results indicate that the performance impact of explicit knowledge sharing (financial, customer, and learning and growth) other than the company's internal processes. The sharing of tacit knowledge on all performance criteria but were later confirmed by customer.

Strategy is a comprehensive plan of a firm which determines its directions and provides guidelines for allocating resources to achieve its long term goals.