Contents & References of Selection of suppliers by multi-objective mathematical modeling and rough set theory considering environmental conditions
Abstract. 1
The first chapter: Generalities of the research
1-1- Introduction and introduction of the topic. 3
12- research objectives and assumptions. 6
1-2-1- Research objectives. 6
1-2-2- Research assumptions. 6
1-3- Research terms. 7
1-3-1- Supply chain management. 7
1-3-2- Green supply chain management. 8
1-3-2-1- Design of the overall green supply chain process. 9
1-3-2-1-1- Design Green. 9
1-3-2-1-2- Green materials. 10
1-3-2-1-3- Green production. 10
1-3-2-1-4- Green marketing. 11
1-3-2-1-5- Green consumption. 11
1-3-2-1-6- Green recycling. 12
1-3-2-2- Advantages of green supply chain. 12
1-3-2-3- Obstacles to implementation of green supply chain management. 13
1-3-2-4- Steps of greening supply chain management. 14
1-3-3- Multi-objective linear planning. 15
1-3-4- Theory of RAF sets. 15
Chapter two: Research literature
21 Introduction. 18
22- supplier selection criteria. 19
23- evaluation techniques and supplier selection. 21
2-3-1- Linear weighting models. 22
23-2- Total cost of ownership model. 24
2-3-3- Statistical models. 25
23-4- Models based on artificial intelligence. 25
2-3-5- Mathematical programming models (simple and combined). 26
24- Green supplier evaluation. 31
2 5- Summary of literature. 33
The third chapter: Multi-objective mathematical programming
3-1- Introduction. 36
3-2- Mathematical form of multi-objective models. 36
3-3- Introduction of basic concepts. 37
3-4- Evaluation methods of a multi-objective model. 38
3-4-1- Existing method without obtaining information from the decision maker. 39
3-4-1-1- compatible functions. 40
3-4-2- Available methods using obtaining primary information from the decision maker. 41
3-4-2-1-Methods related to obtaining information about a specific goal. 41
3-4-2-1-1- Existing methods of utility function and value function. 41
3-4-2-1-1-1- Method of weighting goals. 42
3-4-2-1-1-1-1- Smart method. 43
3-4-2-1-1-1-2- Sowing technique. 43
3-4-2-1-2- methods related to limited goals. 44
3-4-2-2- Mixed methods of obtaining information from the decision maker. 45
3-4-2-2-1- Ideal planning. 45
3-4-2-2-1-1- the main idea of ??ideal planning. 46
3-4-2-2-1-2- Ideal planning concepts. 46
3-4-2-2-1-3- ideal planning structure. 47
3-4-3- Available methods using interactive information acquisition. 48
3-4-4- Methods related to obtaining information from the decision maker after solving the problem. 49
3-5- Fuzzy linear multi-objective programming. 49
3-5-1- Fuzzy theory. 50
3-5-1-1- Basic concepts of fuzzy theory. 50
3-5-1-1-1- Definition of fuzzy sets. 50
3-5-1-1-2- display of fuzzy sets. 50
3-5-1-1-3- Definition of fuzzy numbers. 51
3-5-1-1-4- trapezoidal fuzzy numbers. 51
3-5-1-1-5- de-fuzzing fuzzy numbers. 52
3-5-1-1-5-1- average method. 52
3-5-2- Fuzzy linear multi-objective programming models. 53
Chapter Four: Research method
4-1- Introduction. 55
4-2- Green supplier selection model. 55
4-2-1- Green supplier selection model components. 55
4-2-2- Objective functions. 57
4-2-2-1- Total cost function. 58
4-2-2-2- quality function. 59
4-2-2-3- Service level function. 59
4-2-2-4- environmental performance function. 60
4-2-3- Limitations. 61
4-2-3-1- Demand supply limitation. 61
4-2-3-2- Capacity limitation of suppliers. 61
4-2-3-4- The limitation of zero and one variables. 62
4-2-4- Presentation of the final model. 62
4-3- Weight evaluation methods. 63
4-3-1- Theory of Raff sets. 63
4-3-1-1- Suggested method. 64
4-3-2- Analysis Hierarchy Process (AHP). 68
4-3-2-1- Fuzzy hierarchical analysis process (FAHP). 71
4-3-2-1-1- How to calculate trapezoidal fuzzy weights in FAHP by geometric mean method 71
4-3-2-1-2- How to convert fuzzy weights to definite weights. 74
4-3-2-1-3- multi-objective fuzzy linear problem solving algorithm. 75
4-3-3- entropy technique. 78
4-4- Excavation case - Sazeh Gostar Saipa Company. 80
4-4-1-Introduction of the company. 81
4-4-2- Implementation of the proposed model. 83
The fifth chapter: Conclusion
5-1- Conclusion. 99
List of sources. 101
Appendixes. 104
English abstract. 107