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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Journal of Modern Processes in Manufacturing and Production
- نوع مقاله: Journal Article
- کلمات کلیدی: Supply chain design,Probability density function,Spare parts,Maintenance-Repair-Operation
- چکیده:
- چکیده انگلیسی: The science of maintenance and the active life of the equipment is becoming increasingly important and is defined as a subset of asset management. This necessitates the design and development of a maintenance planning model for the supply chain. This research in the production and distribution program of the spare parts supply chain system, according to the specific and definite order and demand program of users in periods, leads to cost reduction and achieving economic goals in the production unit. In order to achieve this goal, some limitations for model equilibrium and justifying the answers obtained from the model solution are presented, in which we have achieved the optimal answer using the genetic algorithm method in MATLAB software. The present study is descriptive in terms of method and nature and applied in terms of purpose. This research has been done in terms of cross-sectional time and in six time periods and has no specific period. Data were collected through interviews and information available in the production unit of Rahyab Sanat Sepahan Company. According to the functions, the goal of minimizing system costs includes minimizing production, storage, and distribution costs, as well as reducing the difference between actual production time and nominal production capacity in the target function has been investigated. Reality can help make acceptable decisions despite various fluctuations in production lines, distribution centers, and transportation costs.
- انتشار مقاله: 25-04-1399
- نویسندگان: Sayyed Mohammad Reza Davoodi,Amir Hortamani,Nafiseh Bakhtiary Dastgerdi
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of Modern Processes in Manufacturing and Production
- نوع مقاله: Journal Article
- کلمات کلیدی: Network Analysis Process,Lean production,Fuzzy Condition
- چکیده:
- چکیده انگلیسی: The purpose of this research is to comprehend the different dimensions of the concept of lean in order to identify activities proportionate to the economic, cultural and organizational conditions in the industrial environment of the country, which regarding them, the position of the focus company was measured in the direction movement of leaning. This research was conducted among 15 experts and managers of Sam Electronics Company, who were selected based on the Simple Random Sampling (SRS) method. To collect data in this research, a questionnaire was used. The effective indicators in the lean production system were ranked and evaluated after identification, utilizing the group decision-making model of the fuzzy network analysis method. The main indicators that were prioritized include; supply chain management (SCM), suppliers, timing production indicators, human resources management indicators, comprehensive quality management, and the indicators of Total Productive Maintenance. The sub-indicators of each of the primary indicators were also identified and prioritized, and according to the results of the research, necessary suggestions were made to move towards leaning and investment improving for each of the indicators.
- انتشار مقاله: 20-08-1398
- نویسندگان: Sayyed Mohammad Reza Davoodi,Fatemeh Pasamehr
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of Modern Processes in Manufacturing and Production
- نوع مقاله: Journal Article
- کلمات کلیدی: Meta-ُsynthesis,Maintenance Evaluation System,Grounded Theory and Maintenance Assessment Criteria
- چکیده:
- چکیده انگلیسی: The previous studies about the maintenance systems were dealt with defining the evaluation criteria, grouping them, and using different techniques for evaluating. The main problem is that maintenance subsystems and the relationship between and within them in order to a reliable evaluation have never been identified before.
The contribution of this study is realizing the four maintenance subsystems consisting service and maintenance, inspection, chronic failure, and severe failure and investigating the communication between them that has never been done in previous studies. On the other hand, in each subsystem the relationship between causal conditions, phenomenon, mediator condition, strategies and consequences that had been neglected in previous studies are discussed for the very first time. Causal conditions, that cause each of four subsystems, are identified. Then phenomenon and mediator conditions are presented and the strategy that should be made based on the characteristic of phenomenon and mediator condition is determined as well. Since making a strategy can lead to a consequence, the consequences according to different strategies are identified that has never been done in previous studies. At last, the relations between these parts are presented in narratives.- انتشار مقاله: 02-11-1395
- نویسندگان: Abolfazl Sherafat,Sayyed Mohammad Reza Davoodi
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of Industrial Strategic Management
- نوع مقاله: Journal Article
- کلمات کلیدی: AHP,Theme Analysis,resiliency supply chain,QUALIFLEX
- چکیده:
- چکیده انگلیسی: In today's turbulent and uncertain environment, every company is subject to supply chain disruption. Supply chain disruption can have severe negative consequences on supply chain performance. Therefore, the purpose of this study is to identify and prioritize components of resilience supply chain in Isfahan brick industry. The present study was applied and mixed. Purposeful sampling method was used to identify 10 experts familiar with the study. In the qualitative section, thematic analysis was used for coding and identifying factors. Prioritization of factors in a small portion of the AHP was performed using suppression software. The results showed that the effective factors included 6 general themes of agility, safety and environmental issues, flexibility, crisis preparedness, risk management culture and process and operational issues. That agility component comes first and safety and environmental and social issues come first. Then three car brick manufacturing companies were evaluated with the proposed model and ranked by QUALIFLEX technique. Using research results, managers can measure, compare and improve the level of resilience of their supply chains.
- انتشار مقاله: 15-11-1398
- نویسندگان: Farhad Farhadi,Sayyed Mohammad Reza Davoodi
- مشاهده
- جایگاه : پژوهشی
- مجله: Iranian Journal of Finance
- نوع مقاله: Journal Article
- کلمات کلیدی: PSO,Fuzzy inference system,Corrective property,Oscillators
- چکیده:
- چکیده انگلیسی: Technical analysis is constituted as an approach in the market analysis which is based on the study of pricing behavior and shares size in the past and price determination and its procedure in the future. Algorithmic transactions are growing rapidly in order to automate business strategies, given the arrival of computer-based technologies and the rapid processing of bulky information. Trading systems combine input information and ultimately identify the time of purchase and sale by forming one signal. In this paper, the training system is a kind of fuzzy inference system that combines fuzzified RSI and SO signals from technical analysis. The system’s trade rules database (selling, buying, and holding) would be calculated based on an optimization process using PSO. This optimization process should be repeated at certain intervals to keep the system up to date. This process is called the corrective property of systems. The findings on the overall index in the period 2001/3/21-2019/3/20 indicate that the system having optimized training on training data has an average daily return of /0027, risk-taking of /0065 and the daily sharp ratio of /42. Concerning the index of return and sharp ratio, the findings reveal that the system outperforms the signals and the market performance.
- انتشار مقاله: 17-10-1398
- نویسندگان: CharaghAli Bakhtiyariasl,Sayyed Mohammad Reza Davoodi,Abdolmajid Abdolbaghi Ataabadi
- مشاهده
- جایگاه : پژوهشی
- مجله: Advances in Mathematical Finance and Application
- نوع مقاله: Journal Article
- کلمات کلیدی: Technical patterns,pattern recognition,moving average,fuzzy logic
- چکیده:
- چکیده انگلیسی: The present research proposes an automatic system based on moving average (MA) and fuzzy logic to recognize technical analysis patterns including head and shoulder patterns, triangle patterns and broadening patterns in the Tehran Stock Exchange. The automatic system was used on 38 indicators of Tehran Stock Exchange within the period 2014-2017 in order to evaluate the effectiveness of technical patterns. Having compared the conditional distribution of daily returns under the condition of the discovered patterns and the unconditional distribution of returns at various levels of confidence driven from fuzzy logic with the mean returns of all normalized market indicators, we observed that in the desired period, after recognizing the pattern, all patterns investigated at the confidence level 0.95 with a fuzzy point 0.5 contained useful information, practically leading to abnormal returns.
- انتشار مقاله: 24-11-1397
- نویسندگان: Abdolmajid Abdolbaghi Ataabadi,Sayyed Mohammad Reza Davoodi,Mohammad Salimi Bani
- مشاهده