Shahid Beheshti University Journal of Industrial Management Perspective 2251-9874 5 3 2015 11 22 Designing a Multi-Level Multi-Product Inventory Simulation Model and comparing it with the Selected Models; Case: Iran Steel Industries Designing a Multi-Level Multi-Product Inventory Simulation Model and comparing it with the Selected Models; Case: Iran Steel Industries 9 38 87248 FA Sayyed Mohammad Reza Davoodi Ph.D. Student, Kish International Campus, Tehran University. Fariborz Jolai Professor, Tehran University. Ali Mohaghar Professor, University of Tehran. Mohamad Reza Mehregan Professor, Tehran University. Journal Article 2019 09 24 Inventory control is one of the important issues in supply chain management. The present study deals with designing and comparing a multi-level multi-product inventory simulation model in Iran steel industries. The divergent supply chain network model is considered with several final products, several middle products and one primary product. The purpose is to minimize cost function by maintaining the minimum level of service offering for each facilitation that is measured by means of fill rate. It is tried in the proposed model to achieve a local optimal point by having a possible point and second-order localization of the target function and linear constraints around that point as well as the use of genetics algorithm. Since point estimations of the target function and fill rates are carried out with the help of Monte Carlo simulation, statistical hypothesis testing is employed to test the possibility and improve the responses. After validation is fulfilled, the model is implemented in a three-level network via the information of Mobarakeh Steel Company. Given that linear localization is a specific state of second-order localization, it can be expected with more confidence that the achieved point in this model is better than the linear localization state. Inventory control is one of the important issues in supply chain management. The present study deals with designing and comparing a multi-level multi-product inventory simulation model in Iran steel industries. The divergent supply chain network model is considered with several final products, several middle products and one primary product. The purpose is to minimize cost function by maintaining the minimum level of service offering for each facilitation that is measured by means of fill rate. It is tried in the proposed model to achieve a local optimal point by having a possible point and second-order localization of the target function and linear constraints around that point as well as the use of genetics algorithm. Since point estimations of the target function and fill rates are carried out with the help of Monte Carlo simulation, statistical hypothesis testing is employed to test the possibility and improve the responses. After validation is fulfilled, the model is implemented in a three-level network via the information of Mobarakeh Steel Company. Given that linear localization is a specific state of second-order localization, it can be expected with more confidence that the achieved point in this model is better than the linear localization state.

https://jimp.sbu.ac.ir/article_87248_792523a7d6f3b4749bec0d0a0f101b68.pdf

Shahid Beheshti University Journal of Industrial Management Perspective 2251-9874 5 3 2015 11 22 Designing a Multi Objective Job Shop Scheduling Model and Solving it by Simulated Annealing Designing a Multi Objective Job Shop Scheduling Model and Solving it by Simulated Annealing 39 63 87249 FA Hassan Rahimi MS, Tarbiat Modares University. Adel Azar Professor, Tarbiat Modares University. Abbas Rezaei Pandari Ph.D., Tarbiat Modares University. 0000-0001-9534-3441 Journal Article 2019 09 24 Jobshop manufacturing system is a suitable system for economical manufacturing of parts family and Jobshop scheduling is completely efficient in successfully running in improvement of productivity of system. The jobshop scheduling model has multiple objectives: Minimizing makes pan (Cmax) and Minimizing the Weighted Sum of Earliness and Tardiness penalties (WSET). In this study to achieve these objectives at the same time, Goal Programming (GP) has being used. This model from as computational point of view is NP-Hard, so in this paper we apply the Simulated Annealing (SA) meta-heuristic approach for solve it. One array structure of solution (family parts or parts in family) is used in common methods that lead to decrease of solution space, but in this study hybrid selection of neighborhood structures has been used for determaine the structure of solution; Directed Interchange Scheme (DIS) and Random Interchange Scheme (RIS). The results of research indicate solving goal programming model of Job shop Scheduling by SA is efficient to achieve goals of model. Jobshop manufacturing system is a suitable system for economical manufacturing of parts family and Jobshop scheduling is completely efficient in successfully running in improvement of productivity of system. The jobshop scheduling model has multiple objectives: Minimizing makes pan (Cmax) and Minimizing the Weighted Sum of Earliness and Tardiness penalties (WSET). In this study to achieve these objectives at the same time, Goal Programming (GP) has being used. This model from as computational point of view is NP-Hard, so in this paper we apply the Simulated Annealing (SA) meta-heuristic approach for solve it. One array structure of solution (family parts or parts in family) is used in common methods that lead to decrease of solution space, but in this study hybrid selection of neighborhood structures has been used for determaine the structure of solution; Directed Interchange Scheme (DIS) and Random Interchange Scheme (RIS). The results of research indicate solving goal programming model of Job shop Scheduling by SA is efficient to achieve goals of model.

https://jimp.sbu.ac.ir/article_87249_2bd5befe3c44067629cbb7a8f620c595.pdf

Shahid Beheshti University Journal of Industrial Management Perspective 2251-9874 5 3 2015 11 22 Fuzzy Robust Mathematical Model for Project Portfolio Selection and its Solving through Multi Objective Differential Evolutionary Algorithm Fuzzy Robust Mathematical Model for Project Portfolio Selection and its Solving through Multi Objective Differential Evolutionary Algorithm 65 90 87250 FA Masood Rabieh Assistant Professor, Shahid Beheshti University. Abbas Fadaei M. A, Shahid Beheshti University. Journal Article 2019 09 24 The purpose of gas portfolio selection is to choose a collection of projects from a number of proposal projects, so that the organization’s desired factors could be improved. In this paper such a selection encounters critical problem. Having in mind the ambiguity which exists in determining some of the parameters of the research, they are viewed in terms of fuzzy numbers. In addition, Fuzzy Robust method has been used to escalate the robustness of the responses. The results of Fuzzy Robust method indicate that the alpha is applicable and robust for all the levels of the cut. In this paper, Fuzzy Robust zero-one multi objective - multi period model (FRMOILP) is used to select gas projects portfolios in the Gas Company of Kerman Province which follows with fuzzy robust approaches for solving model. At first, small-size single-objective model is solved with Lingo software in order to show how “fuzzy robust approaches” work. Because of the NP-Hard nature of the issue, Multi Objective Differential Evolutionary Algorithm (MODE) algorithm was applied to code and solve the problem. Subsequently “multi objective tabu search” (MOTS) algorithm was compared to it in terms of performance. Finally, in order to facilitate gas projects portfolio selection process, the TOPSIS technique was exploited to prioritize Pareto solutions. The purpose of gas portfolio selection is to choose a collection of projects from a number of proposal projects, so that the organization’s desired factors could be improved. In this paper such a selection encounters critical problem. Having in mind the ambiguity which exists in determining some of the parameters of the research, they are viewed in terms of fuzzy numbers. In addition, Fuzzy Robust method has been used to escalate the robustness of the responses. The results of Fuzzy Robust method indicate that the alpha is applicable and robust for all the levels of the cut. In this paper, Fuzzy Robust zero-one multi objective - multi period model (FRMOILP) is used to select gas projects portfolios in the Gas Company of Kerman Province which follows with fuzzy robust approaches for solving model. At first, small-size single-objective model is solved with Lingo software in order to show how “fuzzy robust approaches” work. Because of the NP-Hard nature of the issue, Multi Objective Differential Evolutionary Algorithm (MODE) algorithm was applied to code and solve the problem. Subsequently “multi objective tabu search” (MOTS) algorithm was compared to it in terms of performance. Finally, in order to facilitate gas projects portfolio selection process, the TOPSIS technique was exploited to prioritize Pareto solutions.

https://jimp.sbu.ac.ir/article_87250_28ccd533f20951a7fbc642c35e5d10a0.pdf

Shahid Beheshti University Journal of Industrial Management Perspective 2251-9874 5 3 2015 11 22 Statistical Chart Development of Process Fuzzy of Per Unit Defects for Attribute Characteristic Statistical Chart Development of Process Fuzzy of Per Unit Defects for Attribute Characteristic 91 116 87251 FA Somayeh Fadaei Masters Student, Mashhad Ferdowsi University. Ali Reza Pooya Associate professor, Ferdowsi University of Mashhad. Mostafa Kazemi Associate Professor, Mashhad Ferdowsi University. Journal Article 2019 09 24 Statistical Quality Control is an important approach that getting help from statistical tools to illustrate the process. Shewhart control charts is one of the most important techniques of quality control, which is used to show the variance with reason. One type of control charts is control charts for attribute control of defects that can be used with variable sample size. Attribute is under Fuzzy Condition because of uncertainty in the defect of the product and making decision by the inspector. In this study, fuzzy rules are used in the design of fuzzy U control charts. This approach is performed for fuzzy control of the process. Judgments in control of classical charts process is not more than two result, While in the design of fuzzy control charts using the fuzzy rules methods, there are intermediate levels of decision-making too. To check the validity of designed model, it is implemented in company imen khodro shargh for sewing quality characteristics. And the results were compared with the results of classical methods using operating characteristic curve and the results indicate better and faster performance fuzzy control charts to detect changes in the process. Statistical Quality Control is an important approach that getting help from statistical tools to illustrate the process. Shewhart control charts is one of the most important techniques of quality control, which is used to show the variance with reason. One type of control charts is control charts for attribute control of defects that can be used with variable sample size. Attribute is under Fuzzy Condition because of uncertainty in the defect of the product and making decision by the inspector. In this study, fuzzy rules are used in the design of fuzzy U control charts. This approach is performed for fuzzy control of the process. Judgments in control of classical charts process is not more than two result, While in the design of fuzzy control charts using the fuzzy rules methods, there are intermediate levels of decision-making too. To check the validity of designed model, it is implemented in company imen khodro shargh for sewing quality characteristics. And the results were compared with the results of classical methods using operating characteristic curve and the results indicate better and faster performance fuzzy control charts to detect changes in the process.

https://jimp.sbu.ac.ir/article_87251_d1f81fa2cc239934a894a4799a71618c.pdf

Shahid Beheshti University Journal of Industrial Management Perspective 2251-9874 5 3 2015 11 22 Measuring Efficiency of Iran Global Competitiveness Index Compared with Selected Countries using Two-Stage Data Envelopment Analysis Model Measuring Efficiency of Iran Global Competitiveness Index Compared with Selected Countries using Two-Stage Data Envelopment Analysis Model 117 137 87252 FA Alinaghi Mosleh Shirazi Associate Professor, Shiraz University, Shiraz. Mojtaba Khalifeh Ph.D. Student, Shiraz University. Journal Article 2019 09 24 Competitiveness level of countries is one of an important index that contains most of the micro and macro economy variables. Thus the main purpose of this study is to design a heuristic model of Global Competitiveness Index in the frame of two-stage DEA and evaluate the efficiency of this index –regards to the 1404 Vision Document- for 40 Asia and North Africa countries from 2010-2011 till 2014-2015. The data collected from the World Economic Forum reports and analyzed by using two-stage DEA and WIN QSB software. The results show that efficiency growth of Global Competitiveness Index does not have an appropriate trend and achieving the goals of 1404 Vision Document require to set reference units that are obtained from this study, as the benchmarks of Iran. Competitiveness level of countries is one of an important index that contains most of the micro and macro economy variables. Thus the main purpose of this study is to design a heuristic model of Global Competitiveness Index in the frame of two-stage DEA and evaluate the efficiency of this index –regards to the 1404 Vision Document- for 40 Asia and North Africa countries from 2010-2011 till 2014-2015. The data collected from the World Economic Forum reports and analyzed by using two-stage DEA and WIN QSB software. The results show that efficiency growth of Global Competitiveness Index does not have an appropriate trend and achieving the goals of 1404 Vision Document require to set reference units that are obtained from this study, as the benchmarks of Iran.

https://jimp.sbu.ac.ir/article_87252_2210acf8b1a2be2c045a8de0c6349689.pdf

Shahid Beheshti University Journal of Industrial Management Perspective 2251-9874 5 3 2014 12 01 A Multi Objective Model Integrating Financial and Material Flow in Supply Chain Master Planning A Multi Objective Model Integrating Financial and Material Flow in Supply Chain Master Planning 139 167 87253 FA Mohadese Kalantari Master Student, Iran University of Science and Technology. Mir Saman Pishvaee Assistant Professor, Iran University of Science and Technology. Saeed Yaghoubi Assistant Professor, Iran University of Science and Technology. Journal Article 1970 01 01 Integrated management and coordination of different parts of supply chain (e.g. procurement, production and distribution) result in significant financial benefits. Financial flow alongside with information and material flow are the three essential flows in supply chain which should be planned simultaneously to achieve the maximum possible efficiency. In this paper a master planning model which includes integrated procurement, production and distribution planning for a multi-product supply chain is taken into account. In order to escape from sub-optimality caused from ignoring the financial flow, the proposed model is able to integrate the material and financial flows all through the supply chain. Various financial measures are used to model the financial flow in the concerned problem and goal programing method is applied to effectively control the deviation of these measures from the planned target values. To solve the proposed bi-objective optimization model, an interactive fuzzy solution is used. This approach s is able to generate both balanced and unbalanced efficient solutions based on decision maker preferences. To show the usefulness and effectiveness of the proposed model numerical and comparative experiments are provided. The numerical results endorse the validity and practicability of the rendered model as well as presenting the efficiency and flexibility of the developed approach. Integrated management and coordination of different parts of supply chain (e.g. procurement, production and distribution) result in significant financial benefits. Financial flow alongside with information and material flow are the three essential flows in supply chain which should be planned simultaneously to achieve the maximum possible efficiency. In this paper a master planning model which includes integrated procurement, production and distribution planning for a multi-product supply chain is taken into account. In order to escape from sub-optimality caused from ignoring the financial flow, the proposed model is able to integrate the material and financial flows all through the supply chain. Various financial measures are used to model the financial flow in the concerned problem and goal programing method is applied to effectively control the deviation of these measures from the planned target values. To solve the proposed bi-objective optimization model, an interactive fuzzy solution is used. This approach s is able to generate both balanced and unbalanced efficient solutions based on decision maker preferences. To show the usefulness and effectiveness of the proposed model numerical and comparative experiments are provided. The numerical results endorse the validity and practicability of the rendered model as well as presenting the efficiency and flexibility of the developed approach.

https://jimp.sbu.ac.ir/article_87253_262c86e42b7a211c5d8063c76158434a.pdf

Shahid Beheshti University Journal of Industrial Management Perspective 2251-9874 5 3 2015 11 22 Manufacturing Strategy Evaluation using Fuzzy QFD Approach Manufacturing Strategy Evaluation using Fuzzy QFD Approach 169 183 87254 FA Mohammad Valipour Khatir Assistant Professor, University of Mazandaran. Zeinolabedin Akbarzadeh Ph.D Student, University of Mazandaran. Zahra Mohammadi Nodehaki Master student, Khazar Institute of Higher Education. Journal Article 2019 09 24 Today the most studies in the field of manufacturing strategy are more focused on descriptive processes and conceptual models and draw less attention to quantitative evaluation of manufacturing strategy. Accordingly this essay is aimed to use QFD technique to present appropriate approach for evaluation and development of manufacturing strategy with the focus on competitive paid and offer an analysis of the gap between current and desired situation of company in competitive factors. The data obtained through questionnaires distributed among professionals, with experience of at least 10 years in policy and planning production at Makhzan Foulad Rafe Company which is known with commercial name Dabou Industry. The results of research shows that creativity in product and reduction of energy consumption are the most important (8) and speed of delivering (6.33) are the least important competitive factors in the company and product and process development (47.75) is the most important and improvement of product planning system (37) is the least important manufacturing strategy in the company. Company must employ a manufacturing strategy that is effective in improving competitive factors and provide the ability to achieve the desired situation. Today the most studies in the field of manufacturing strategy are more focused on descriptive processes and conceptual models and draw less attention to quantitative evaluation of manufacturing strategy. Accordingly this essay is aimed to use QFD technique to present appropriate approach for evaluation and development of manufacturing strategy with the focus on competitive paid and offer an analysis of the gap between current and desired situation of company in competitive factors. The data obtained through questionnaires distributed among professionals, with experience of at least 10 years in policy and planning production at Makhzan Foulad Rafe Company which is known with commercial name Dabou Industry. The results of research shows that creativity in product and reduction of energy consumption are the most important (8) and speed of delivering (6.33) are the least important competitive factors in the company and product and process development (47.75) is the most important and improvement of product planning system (37) is the least important manufacturing strategy in the company. Company must employ a manufacturing strategy that is effective in improving competitive factors and provide the ability to achieve the desired situation.

https://jimp.sbu.ac.ir/article_87254_173e4e860bf6fe162fd15cf54bbff96c.pdf