Rosa Hendijani; Reza Saeidi Saei
Abstract
This study examined the impact of the interaction between demand uncertainty and supply chain integration on firm performance (operational and financial dimentions) using a survey method with questionnaire. Previous studies had not examined the interaction impact between integration and uncertainty on ...
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This study examined the impact of the interaction between demand uncertainty and supply chain integration on firm performance (operational and financial dimentions) using a survey method with questionnaire. Previous studies had not examined the interaction impact between integration and uncertainty on supply chains performance as was done in this study. The research population consists of the firms that were in steel and auto parts industries. In total, 84 firms participated in the study. We used hierarchical regression model to test our hypotheses with industry type added as a control variable. Results show that integration in internal and process dimensions have positive impact on operational and financial performance. However, integration in product has negative impact on financial performance. When firms face with demand uncertainty, process integration will improve financial performance. Due to results, this study recommend companies to focus on internal and process integration as more effective types of integration, which improve financial and operational performance. In condition with demand uncertainty it is better for firms to prioritize process integration. Furthemore, type of industry dosnt have impact on study results.
Ehsan Yadegari; Akbar Alem Tabriz; Mostafa Zandieh
Abstract
Over the past decade, due to environmental laws and the competitive environment, development of an effective tactical plan for efficient and integrated supply chain and considering the responsibility of organizations to collect defective goods seems impossible. In this paper a mixed-integer linear programming ...
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Over the past decade, due to environmental laws and the competitive environment, development of an effective tactical plan for efficient and integrated supply chain and considering the responsibility of organizations to collect defective goods seems impossible. In this paper a mixed-integer linear programming is considered to mathematically model the essentially five stages along our supply chain network: suppliers, manufacturers, DCs, customers, and Dismantlers.Delivers raw materials from suppliers to factories and then through distribution centers, delivering the final product to customers. On the other hand, it simultaneously collects recycled goods from customers and enters the cycle of safe reconstruction or destruction.The aim of this model is minimizing the costs of establishing facilities at potential points as well as the optimal flow of materials in the network layers. Since the problem is NP-hard, to solve it, the cloud theory based simulated annealing algorithm has been used. We also used the tree-covering method to show the answer, which uses fewer arrays than other methods in the literature. To analyze the accuracy and speed of the proposed algorithm, we compared its performance with the genetic and simulated annealing algorithm. The results show that the cost function in the cloud-based refrigeration simulation algorithm provides more accurate answers than both algorithms studied in the literature. The results show that the cost function in the cloud-based simulated annealing algorithm provides more accurate answers than both algorithms studied in the literature. Also, in terms of convergence rate criterion, the proposed method has better position than the genetic algorithm, but it is not significantly different from simulated annealing algorithm.
Amir Khorrami; Mohammad Taghi Taghavifard; Seyed Mohammad Ali Khatami Firouzabadi
Abstract
Credit risk assessment is one of the key issues for banks and financial institutions and various models have been developed for this. This study uses Case Based reasoning (CBR) Model and considers a database of bank credit customers to assess the credit risk of bank applicants. For this, 9 criteria were ...
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Credit risk assessment is one of the key issues for banks and financial institutions and various models have been developed for this. This study uses Case Based reasoning (CBR) Model and considers a database of bank credit customers to assess the credit risk of bank applicants. For this, 9 criteria were selected based on the experts' opinion and were weighted using the Fuzzy Analytical Hierarchy Process (FAHP). Return check, housing situation and income level are the most important criteria for credit risk assessment of the bank applicants. Then, using the TOPSIS Technique, we could evaluates the similarity of the new item with actual past cases or evaluate the new applicant with the ideal option, and uses a case-based reasoning model to predict the likelihood of default or non-default applicants. Survey research was applied for this study and the research community was the records of previous bank applicants between 1390-94 years. This research is an applied and descriptive and descriptive study. The results show that the accuracy of the CBR model is higher than other validation and ranking methods of bank customers. The use of the CBR model in order to authenticate customers has obtained results far better than the performance of the credit sector experts, which led to the judgment of default or non-default of customers, indicating the high performance of the model used in comparison to the model used by bank and validation experts. CBR leads to the design an expert, specialized and intelligent system which addition to storing data in a database, stores models and templates for use.
Habib Rudsaz; mir ali seyed naghavi; Faezeh Abdoli Masinan
Abstract
The present research is entitled” The Effect of open innovation on competitive advantage Considering the Mediation Role of knowledge management” and is done in Sadad informatics corps of Tehran city in the year of 2016. The aim of this study is to study the Effect of open innovation on competitive ...
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The present research is entitled” The Effect of open innovation on competitive advantage Considering the Mediation Role of knowledge management” and is done in Sadad informatics corps of Tehran city in the year of 2016. The aim of this study is to study the Effect of open innovation on competitive advantage (With dimensions of quality, efficiency, responsiveness and innovation) Considering the Mediation Role of knowledge management. This research is an applied one and the research method is descriptive and survey. Literature review and field study method have been used to collect information. The statistical population of this study included 200 employees of Sadad informatics corps in Tehran city. A group of 131 employees was selected as the sample for research through Cochran’s formula. Data analysis was performed by using descriptive and inferential statistics. At the level of descriptive statistics, indicators such as abundance and percentage of abundance were used; at inferential level, methods such as correlation, confirmatory factor analysis and structural equation modeling were used. To analyze the data was used of Lisrel and Spss software. The result show that open innovation plays an important role in effective management of organizations. Through open innovation, companies can turn knowledge management into an asset that promotes sustainable innovation that affects organizational sustainability.
SEYYED ALI Mirnezhad; Parham Azimi; Ahmad Yousefi Hanoomarvar
Abstract
In the present study, the redundancy allocation problem (RAP) of series-parallel system has been investigated to maximize the system's availability. To achieve the research objective, budget, weight and volume constraints, and the maximum and minimum number of elements assigned to each subsystem have ...
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In the present study, the redundancy allocation problem (RAP) of series-parallel system has been investigated to maximize the system's availability. To achieve the research objective, budget, weight and volume constraints, and the maximum and minimum number of elements assigned to each subsystem have been considered. The main innovation of this research is to consider the failure and repair rates of components with non-exponential distribution function in the process of optimization. Taking into account failure and repair rate via non-exponential distribution function makes it impossible to calculate accessibility using mathematical relations. Therefore, the present study has used simulation method to calculate system availability. Since the simulation has no optimization capability On the other hand, in the redundancy allocation problem, it is necessary to evaluate the system availability recurrently in order to find the optimal solution. Further, due to the high degree of difficulty of developed mathematical function, the genetic metaheuristic algorithm was used to solve it. Finally, the efficiency of the genetic algorithm was measured against particle swarm algorithm and simulated annealing algorithm. To compare fairly, the parameters affecting the algorithms are adjusted using the Taguchi method and the algorithms are in their best practice. The computational results prove the high ability of the genetic algorithm in optimizing the concerned problem.
Somayeh Kavianpour; Gavad Rezaeian
Abstract
Appropriate scheduling of shifts for nurses, is a critical issue in hospital management. This study improves the scheduling of shifts for nurses in health services organizations to provide lower cost and also to reduce the computational complexity and finally to realize the outcome of these actions on ...
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Appropriate scheduling of shifts for nurses, is a critical issue in hospital management. This study improves the scheduling of shifts for nurses in health services organizations to provide lower cost and also to reduce the computational complexity and finally to realize the outcome of these actions on job satisfaction and quality of received services. A linear mathematical model is proposed and since this problem is NP-hard, Genetic Algorithm is provided for solving the problem and finally Implemented in Imam Khomeini hospital of Noor city as a real sample. Computational results and performance of the proposed algorithm in terms of solution quality and computational time were analyzed. Accreditation standards for hospitals as well as the Productivity laws are used in the proposed model. Production of timetables by the proposed model, resulting in improved satisfaction levels of nurses and their job performance.
Mojtaba Rezaei Zivlaei; hesam zandhesami
Abstract
The related researches show different results from the relationship between aspects of quality management and innovation performance. Most researches examined the direct relationship between quality management and organizational innovation performance, but the effective aspects of quality management ...
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The related researches show different results from the relationship between aspects of quality management and innovation performance. Most researches examined the direct relationship between quality management and organizational innovation performance, but the effective aspects of quality management have not been thoroughly investigated, so the present study considered clarifying the aspects of quality management and their impacts on organizational innovation performance. The purpose of this study is to investigate the impact of soft and hard aspects of quality management on innovation performance by mediating the role of employees' proactive behavior and technological innovation capability. Because the current situation has been studied and analyzed in this applied research, the method used is analytical-survey. The statistical population of this study are 400 knowledge-based companies in the field of laboratory equipment and materials manufactured in Iran who participated in the 6th exhibition of this field at Tehran International Exhibition. Theoretical bases were used to collect the relevant data, as well as to extract primary factors and indices from library and internet resources including articles, books and case studies. Also, during the process of attending the exhibition, questionnaires were used to collect the data and information needed to investigate the research hypotheses. Inferential statistics indices were determined and extracted according to the desired dimensions. After checking the validity and reliability of the questionnaire, the data normality test was performed using Kolmogorov-Smirnov test, then we analyzed the hypotheses using Structural Equation Modeling and SmartPLS and SPSS software. The results show that 5 hypotheses out of 8 proposed hypotheses were confirmed and it was found that soft quality management mediated by innovation capability and proactive behavior of employees had significant effect on innovation performance and hard quality management had significant effect on innovation capability. Also, innovation capability significantly affects the innovation performance of the organization.
MohammadHadi KhorashadiZadeh; Hassan Mehrmanesh; Zadollah Fathi
Abstract
Continuous changes in today’s business environment, have led institutions to recognize knowledge as their key capital. Knowledge has become a key source in every organization. This study while, considering importance of knowledge in current organizational activities, is looking for the antecedents ...
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Continuous changes in today’s business environment, have led institutions to recognize knowledge as their key capital. Knowledge has become a key source in every organization. This study while, considering importance of knowledge in current organizational activities, is looking for the antecedents as well as the consequences of knowledge sharing using the grounded theory.The present study is a developmental research in the first phase and an applied one in the second phase. In the first phase it is an exploratory research and in the second phase it is an explanatory research. Moreover, it is a qualitative type with grounded theory approach in the first phase, while a quantitative method employing the structural equations in the second phase. The statistical population is the Hamkaran System Group. A purposive snowball sampling is employed in the first phase and a random sampling in the second one. Sample size is 17 people for first phase and 253 people for second phase. Results reviewed by two professors and points were made for the purpose of either revising or modifying the theory. Results of the grounded theory led to detection of 22 key factors e.g: distribution of knowledge as a central phenomenon, intra-organizational order, synergy formation, knowledge retesting, maturity-oriented development and safe margins of knowledge distribution. Theoretical comparison, structural equations and path analysis were applied for their relations and influences
Hossein Karimi; Vahid Sharifian
Abstract
Material requirements planning systems are used in the discrete manufacturing systems. In this article, a mixed integer programming is used to minimize the total cost that contains work in process inventory cost, setup cost, backorder costs, lost sales, additional products cost and changes in the lead-time ...
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Material requirements planning systems are used in the discrete manufacturing systems. In this article, a mixed integer programming is used to minimize the total cost that contains work in process inventory cost, setup cost, backorder costs, lost sales, additional products cost and changes in the lead-time cost. Furthermore, it is considered that some part of the delayed demand is backorders and the other part is lost sales. Moreover, defective items and their impact on demand of customers are discussed in this paper. The suggested deterministic model is single-objective and applied to a mixed concrete production company. According to the optimal results, by decreasing the number of defective items, the manufacturing costs in the studied company can be reduced by %30. Also, the material ordering plan can be implemented according to planned lead times. Furthermore, in this article, a lower bound is suggested for the problem and the computational efficiency of the lower bound is evaluated.
Navid Pishkar; Mohammad ali Nasimi; Maryam Rahmati
Abstract
The purpose of this study is to develop a conceptual model and classify the antecedents and consequences of the green supply chain in the parts industry. The study method is qualitative content analysis and the main tool for data collection is semi-structured interviews. Data analysis was performed using ...
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The purpose of this study is to develop a conceptual model and classify the antecedents and consequences of the green supply chain in the parts industry. The study method is qualitative content analysis and the main tool for data collection is semi-structured interviews. Data analysis was performed using a combination of directional and summary content analysis techniques. The identified factors include 29 open codes that were inserted in the form of seven main categories and at the end, using Max Kyoda software, classification and conceptual model were drawn. Reliability using kappa coefficient was equal to 0.960, which is at the level of excellent agreement. The results show that the 7 components identified in the antecedents and consequences of the green supply chain in the component manufacturing industry include; Supplier and green purchase, green design and packaging, green production, green distribution and marketing, environmental management, education and research, reverse logistics. The components of education and research and reverse logistics have emerged as new components in this research. Today, in a competitive environment, global organizations have realized that improving environmental performance can set them apart from their competitors
