Selection of equipment to implement CM using ANP and Fuzzy TOPSIS techniques (case study in Iran Alloy Steel Company)

Number of pages: 200 File Format: word File Code: 30566
Year: 2009 University Degree: Master's degree Category: Management
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  • Summary of Selection of equipment to implement CM using ANP and Fuzzy TOPSIS techniques (case study in Iran Alloy Steel Company)

    Dissertation for Master's Degree in Industrial Management

    Abstract

    Maintenance and repairs play an important role in maintaining reliability, availability, product quality, reducing risk, increasing efficiency and security of equipment. Manufacturing companies are always trying to reduce production costs. One of the basic costs of these enterprises is the cost of repairs, which mainly accounts for 15-75% of production costs, depending on the type of industry. A proper maintenance policy can play a very important role in availability and reliability, production quality, and system safety. But unfortunately, compared to production topics that are of great interest to researchers and writers, maintenance and repairs have not been given much importance. This issue is one of the reasons for the lower efficiency of the maintenance and repairs department compared to other departments. The senior managers of manufacturing companies expect the maintenance and repair department to have the most access to equipment and if an equipment stops the production line, this stop should be planned. This has forced the maintenance and repair managers to use any method to prevent the sudden stop of the equipment. One of the methods that has been widely used in the world's industries is CM [1], which is a very expensive method due to the use of special equipment. Different companies are trying to put the equipment that really needs continuous monitoring under CM. The purpose of this project is to prioritize all the sensitive equipment of the factory using scientific criteria and decision-making techniques that are currently common in the world, and according to that, determine which equipment needs continuous monitoring and which equipment will be prioritized in the next stage. Keywords: maintenance and repairs, FANP [2], CM, Iranian alloy steel, FTOPSIS [3]

    [1]Condition Monitoring

    [2]Fuzzy Analytic network process

    [3] Fuzzy Technique For Order Preference By Similarity To Ideal Solution

    Introduction

    The maintenance and repair managers of different companies are always faced with the problem of how they can obtain criteria for identifying the priority of parts in maintenance and repairs and how they can prioritize these parts based on these criteria in this project It has been tried to use up-to-date decision-making methods and the use of experts from Iran Alloy Steel Company, which is the largest producer of alloy steels in the country, to obtain criteria for prioritizing the equipment of this company, and then to prioritize these equipment using decision-making techniques. It is hoped that this research can help, however small, to the artisans of this border and the world.

    1-2-Problem definition

    Maintenance and repairs play an important role in maintaining reliability, availability, quality of products, reducing risk, increasing efficiency and security of equipment. Manufacturing companies are always trying to reduce production costs. One of the basic costs of these enterprises is the cost of repairs, which mainly accounts for 15-75% of production costs, depending on the type of industry. A proper maintenance policy can play a very important role in system availability and reliability, production quality, and safety. But unfortunately, compared to production topics that are of great interest to researchers and writers, maintenance and repairs have not been given much importance. This issue is one of the reasons for the lower efficiency of the maintenance and repairs department compared to other departments. For example, about one third of repair costs are spent on unnecessary activities. (Mobley, 2002)

    As mentioned earlier, one of the maintenance and repair methods is CM, which is a very expensive method due to the use of special equipment, and different companies are trying to put equipment that really needs continuous monitoring under CM. The problem here is that there are no fully explained criteria on which equipment can be selected, and also the importance of different equipment compared to other equipment is not clear. And the equipment does not have a special score based on importance.

    Meanwhile, in case of inaccuracy in the selection of equipment, the company incurs additional costs for CM, and this also causes the selection of equipment that really should be under CM.

    This is the case that in case of inaccuracy in the selection of equipment, the company will incur additional costs for the CM, and this also causes that the equipment that should be under CM is not selected, and in fact, this has caused both the company's capital to be wasted and also, in some cases, caused irreparable losses to the company due to the sudden stops of the equipment, which due to the condition of the supply of spare parts for the equipment, this damage is several

    1-3- Objectives and application of research results

    The purpose of this project is to prioritize all the sensitive equipment of the factory with the scientific criteria and decision-making techniques that are currently common, and according to that, determine which equipment needs continuous monitoring and which equipment will be prioritized in the next step. The real goal is to implement a maintenance and repair system based on continuous monitoring because it is never possible to put all the sensitive equipment of a company under continuous monitoring, but a prioritization of them should be done in order to be able to choose the equipment that has the highest priority based on the budget and also the infrastructure.

    Increase the efficiency of the equipment (the efficiency means the ability to access the equipment)

    1-3-2- Partial objectives

    Identify the important indicators of maintenance and repairs

    Prepare a list of the company's sensitive equipment

    Prioritize the important equipment

    Identify the experts at different levels of the company

    1-4- Research hypotheses

    The main purpose of this research is the prioritization of equipment which should be monitored. In this regard, three research questions are raised as follows:

    What are the criteria based on which the equipment can be prioritized?

    What is the weight of the criteria determined for prioritization?

    How is the prioritization of the equipment that should be placed under CM using the given weight criteria?

    1-5- Necessity and the importance of research

    Currently in Iran Alloy Steel Company, one of the methods used for PM [1] is the CM method. This method, which is considered one of the advanced methods in the science of maintenance and repairs, has many advantages over the previous methods of maintenance and repairs that were explained earlier. This method has a very high reliability. This means that the probability of stopping the equipment that is subjected to this method of maintenance and repairs is very low, and at the same time, it increases the life of such equipment. Of course, the important thing is that this method requires a lot of money, and for its implementation, necessary economic calculations should be made. The implementation of this method in Iran Alloy Steel Company started in 2013 and was generally left to the contractor. The methods that are performed for CM in Iran Alloy Steel include the following:

    Oil analysis

    Vibration analysis of rotating equipment

    Thermometry

    Fluid network thickness measurement

    In Iran Alloy Steel Company, the selection of equipment that should be subjected to CM was initially the responsibility of the factory inspection unit, and this unit also specified the following 9 criteria from the units Various requested the announcement of the list of equipment that should be under CM, which these 9 criteria are as follows:

    The importance of the equipment and the impact of stopping the equipment on the production line

    Motor power

    The amount of operation during the day and night

    The amount of operation in the work cycle

    The amount of damage to the equipment due to a sudden stop

    The amount of the ability of the equipment for imbalance (for example, high capacity fans) for imbalance).

    The amount of investment or the price of the equipment

    Existing limitations such as the number of equipment of the contracting party, the number of contractor personnel, the number of measuring devices, the amount of the contract

    The degree of ability of the equipment for misalignment[2]

    The above mentioned criteria and other criteria are used in different units to select this equipment.

    Regarding the necessity of conducting this research, it is very important to maintain and repair the equipment:

    The presence of molten metal inside the production systems, which in case of breakdown of the machine and transfer systems and freezing of the metal on the way, the evacuation of the frozen metal requires spending a lot of time and money. Increases equipment.

  • Contents & References of Selection of equipment to implement CM using ANP and Fuzzy TOPSIS techniques (case study in Iran Alloy Steel Company)

    List:

    Table of contents:

    The first chapter. 1

    1-1-Introduction. 2

    1-2- Definition of the problem. 2

    1-3- Objectives and application of research results. 3

    1-4- research assumptions. 4

    1-5-Necessity and importance of research. 4

    1-6- research limitations. 7

    1-7- Seasoning of the research. 8

    1-8- Description of the words and terms used in the research. 8

    The second chapter. 10

    A review of the subject literature. 10

    2-1- Introduction. 11

    2-2- Maintenance and repair research literature. 11

    2-2-1- Examining different repair strategies. 13

          2-2-1-1- Corrective repairs. 13

          2-2-1-2- Time-based repairs. 13

          2-2-1-3- Repairs based on conditions 13

          2-2-1-4- Predictive repairs. 14

          2-2-1-5- condition-based maintenance and repairs. 15

           6-1-2-2 review of the proposed models. 18

    1-6-1-2-2 fully visible system 18

    2-6-1-2-2 - partially visible systems. 20

    2-3- Criticism of literature. 23

    2-4- Repair strategy in Iran Alloy Steel Company. 26

    2-4-1- Repair strategy in the initial design. 28

    2-5- Literature review of decision criteria research. 29

    2-5-1- Safety. 29

    2-5-2 cost. 30

       2-5-3- Product quality. 31

       2-5-4- The degree of importance of the device 31

       2-5-5- Repairability. 32

       2-5-6- Reliability. 32

    2-5-7- accessibility. 33-8-5-2 Added value 33-9-5-2 Justification. 34

    2-6- Mathematical decision making models. 38

    2-6-1- MCDM mathematical decision making techniques. 38

    2-6-2- Evaluation and review of MADM models. 38

    2-7- Fuzzy management science: 40

    2-7-1- Fuzzy numbers and algebraic operations. 42

    2-72- LR type fuzzy numbers. 43

    2-7-3- trapezoidal and triangular fuzzy numbers. 44

    2-8- Research literature, theoretical foundations of the ANP network analysis process. 45

    2-8-1- Introduction of ANP technique. 45

    2-8-2- Fuzzy ANP technique. 53

    2-9- Introduction of TOPSIS technique. 56

    2-9-1- Research literature on Fuzzy TOPSIS. 57

    2-10- Summary. 60

    The third chapter. 61

    Designing the research framework. 61

    3-1- Introduction. 62

    3-2- Proposed algorithm. 63

    3-2-1- Formation of the company's expert team. 63

    3-2-2 - Characteristics of experts 63

    3-3 Specifying the criteria 67

    3-4- Calculating the weights of each of the decision-making criteria from the expert method. 75

    3-5- Rating of equipment. 80

    3-6- Final decision regarding equipment selection. 80

    3-7- Research method. 80

    3-8- Research methodology. 83

       3-8-1- Research questions: 83

       3-8-2- Tools used in collecting information. 83

    3-9- Validity and reliability of the research. 85

    3-10- Summary. 86

    Chapter Four. 87

    Run the model and analyze the results. 87

    4-1- Introduction. 88

    4-2- The results related to the general characteristics of the interviewees. 88

    4-2-1- The age of the interviewees. 88

    4-2-2- The education of the interviewees. 89

    4-2-3-work history of the interviewees. 90

    4-2-4- Employment type of interviewees. 91

       4-2-5- Organizational position of the interviewees: 92

    4-3- Determining the weight of the criteria with the fuzzy ANP approach. 93

    4-3-1- Calculation of the weight of each of the views 93

    4-3-2- Calculation of the weight of each of the indicators of the financial view. 99

       4-3-3-calculation of the weight of each of the indicators of the technical perspective. 103

    4-3-4- Calculation of safety indicators. 110

    4-3-5- Calculating the weight of the human landscape. 113

    4-4- Calculating the final weight of each index 113

    4-5- Prioritizing equipment with the fuzzy TOPSIS approach. 115

    4-5-1- Converting the average matrix to a scale-free matrix. 134

    4-5-2- Converting the normalized matrix to the balanced matrix. 135

    4-5-3- Determination of fuzzy positive ideal solution and fuzzy negative ideal solution: 135

    4-5-4- Final prioritization of options 136

    4-6- Prioritization of options from another method 140

    4-7- Final decision regarding equipment selection. 143

    4-8- Summary.143

    The fifth chapter. 144

    Conclusion and suggestions. 144

    5-1- Introduction. 145

    5-2-The results of the research. 145

    5-3- The results of the implementation of the proposed model. 147

    5-4- Advantages of the proposed algorithm. 149

    5-5 - Suggestions to improve the use of the proposed algorithm in equipment prioritization. 150

    5-6 suggestions for the application of research results. 150

    5-7- Suggestions for future research. 151

    5-8-Summary. 152

    Persian sources and sources. 153

    External sources: 155

    Appendixes. 159

    Source:

    Persian sources and sources

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    Asgharpour, Mohammad Javad (1381). Multi-criteria decision making, 3rd edition, Tehran University publishing house.

    Zagitri, Hans Dieter (1378), Senior Management and Quality, Khorram, Muslim, Tehran, Microprocessor Publications

    Bazargan, Abbas et al. (1380) Research Methods in Behavioral Sciences, Tehran Agha Publishing Institute

    Khaki, Gholamreza (1386) Research Methods in Management, Tehran Islamic Azad University Scientific Publications Center

    Danaei Fard Hassan and others (1383) Quantitative Research Methodology in Comprehensive Approach Management, Tehran Safar-Eshraghi Publishing House, First Edition

    Danaei Fard Hasan and others (2013) Qualitative Research Methodology in Comprehensive Approach Management, Tehran, Safar-Eshraghi Publishing House, First Edition

    Sekaran, Uma (2008) Research Methods in Management, translated by Mohammad Saebio Mahmoud Shirazi, Tehran Higher Institute of Management and Planning Education and Research

    Kamran Shahanghi, Mahmoud Shafiei, Ali Jahan (1387) Evaluation and comparison of four methods of maintenance and repairs and choosing the optimal strategy with the help of Fuzzy AHP, Journal of Maintenance and Repairs. Mohammadi, 1381, Maintenance and Repair Book, Isfahan Industrial Press

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    Namkin, Ali, Masoudi, Ali; 1387 PM implementation effects on reducing the failure rate by analyzing the life cycle diagram along with the real state", second and third maintenance conference articles and repairs, Iran Net site.

    Mamariani Azizullah, Mirkazmeyed Masoud, Makoui Ahmed, Jafari Mostafa, Rezaei Noor Jalal 2017 Development of a strategic model to measure the performance of maintenance and repair departments using data envelopment analysis with probabilistic limitations

    Fateme Raisi, Shahidian Zahrasadat, Application of fuzzy logic in replacement problems, 2017, Maintenance and Repairs Magazine

    Rezai Siamak, Pourbek Yaqoub, investigation of the influencing parameters on the periodic maintenance schedule of gas units, 1387, maintenance and repairs magazine

    Rostamian, Houshang, 1381, efficient maintenance and repairs, first edition, Novin Ghosh Publications

    Syed Hosseini, Mohammad, 1381 systematic planning of maintenance and repairs system in industries and services sector, organization Industrial management

    Industrial management,

    White, Jim, 2017 translated by the Department of Industrial Engineering, Maintenance and Repairs - Organization, Planning and Control, Academic Jihad of Sharif University of Technology. A balanced score, Yazd University. D., Kumar, P., 2007. "FLM to select suitable maintenance strategy in process industries using MISO model". Journal of Quality in Maintenance Engineering 11 (4), 359-374.

Selection of equipment to implement CM using ANP and Fuzzy TOPSIS techniques (case study in Iran Alloy Steel Company)