Jafar Rezaei; Mansour Esmaeilzadeh
Volume 6, Issue 17 , September 2007, , Pages 1-22
Abstract
This paper compares different multi-criteria inventory classification models. The purpose of this paper is to introduce a simple and applicable quantitative approach for this comparison. This model is capable to compare a large number of inventor)' classification models. The selected models for this ...
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This paper compares different multi-criteria inventory classification models. The purpose of this paper is to introduce a simple and applicable quantitative approach for this comparison. This model is capable to compare a large number of inventor)' classification models. The selected models for this comparison study are classical model, Weighted Linear Optimization, Fan & Zhou Model and Ng Model. We select 47 Stock Keeping Units (SKUs) to compare the models and select the best model using the ‘fitness average approach'. The results show the robustness of Wan Lung model and weakness of classical model.
Mehdi Seifbarghy; Razieh Forghani; Zarifeh Rathi
Volume 8, Issue 18 , September 2010, , Pages 1-13
Abstract
Maximal Covering Location Problem (MCLP) aims at maximizing a population of customers which are located within a specified range of time or distance from some new servers which should be located. A number of extensions have been proposed for this problem, one of which is considering queuing constraints ...
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Maximal Covering Location Problem (MCLP) aims at maximizing a population of customers which are located within a specified range of time or distance from some new servers which should be located. A number of extensions have been proposed for this problem, one of which is considering queuing constraints in the mode; for example, location of a limited number of servers in such a way as to maximize the covering considering the constraint regarding to the queue length. In this paper, we extend the proposed model by Correa and Lorena [3] which maximizes the covering. We consider a more objective function in such a way as to minimize the total distance between the servers and demand points. A genetic algorithm based heuristic is proposed to solve the model and results are compared with that of given by CPLEX as a standard solver to estimate the performance of the given algorithm.
Akbar Alam Tabriz; Razieh Faraji; Hesam Saiedy
Volume 8, Issue 19 , December 2010, , Pages 1-22
Abstract
University is an organization with specific mission that needs to be evaluated for optimal using of resources and achieving to goals. To improve the status quo, by performance assessment could recognized weakness and strength and minimized input of resources. Thus, university has to know efficiency of ...
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University is an organization with specific mission that needs to be evaluated for optimal using of resources and achieving to goals. To improve the status quo, by performance assessment could recognized weakness and strength and minimized input of resources. Thus, university has to know efficiency of faculties and to study cause of its efficiency and inefficiency, then to improve and to conduct faculties of inefficiency by using suitable programming. DBA model is nonparametric frontier method for measuring of performance and technical efficiency of comparable sets in converting similar inputs to similar outputs. In this paper, according to importance of university, largest higher education center in country, efficiency of Shahid Beheshti University’s faculties is evaluated by DBA using CCR model in two cases and with weights for inputs and outputs based on goal programming (min deviation variable, min sum deviation variables, min max deviation and multi objective LP) in period of 1382-1386. DBA based on goal programming has more power for separating and presenting real weights from classic models (CCR). Finding of research presented law faculty was inefficient, and earth, science and management and account faculties were top faculties based on observed indices in this period.
Ahmad Jafarnejad; Ahmad Ahmadi; Mohammad Hasan Malaki
Volume 8, Issue 20 , March 2011, , Pages 1-25
Abstract
By studying the literature of lean production concepts and according to the attempts made by the organization to measure and implement the principles of lean production, it is decided to take the two measure streams, regarding to lean production into deep consideration. The outcome of these studies can ...
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By studying the literature of lean production concepts and according to the attempts made by the organization to measure and implement the principles of lean production, it is decided to take the two measure streams, regarding to lean production into deep consideration. The outcome of these studies can be condensed into two major achievements: 1) to draw the readers’ attentions to comprehensive definition of leanness 2) To present a framework that can first measure then provide approaches to solve the difficulties in an appropriate implementing in a suitable accordance with the comprehensive definition of leanness. Having achieved a right understanding of leanness concepts, the existing models were studied to measure organizational leanness. Having considered the strengths and weaknesses, a model was represented which is a combination of fuzzy ANP and fuzzy DEMATEL approaches. Finally, by conducting an experimental study the application of this model has been demonstrated.
Shahriar Mohammadi; Sedigheh Ardast
Volume 8, Issue 21 , June 2011, , Pages 1-19
Abstract
Simultaneous with port's development and complexity in transportation processes, a number of problems have occurred in global supply chain. Nowadays, new technologies are used as a flexible solution to control quality of services and manage port's processes. One of the most effective existing technologies ...
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Simultaneous with port's development and complexity in transportation processes, a number of problems have occurred in global supply chain. Nowadays, new technologies are used as a flexible solution to control quality of services and manage port's processes. One of the most effective existing technologies that can be used for container transportation is RFID technology. The most important benefit of RFID technology is the automation of processes through providing decision support systems based on real time and accurate data.
This study follows an efficient RFID-Based model to improve port's container transportation. According to Literature review and available academic models, the port's RFID system cycle has been designed and a model has been proposed. This model has used the internal experience and the result of the initial site has been surveyed. By understanding the conceptual variables in the model and analysis of questionnaire's data and obtaining RFID and port expert's ideas, the final model has been presented.
According to the study, the proposed model is believed to be efficient for Bushehr port's and has positive effect on security, speeding, Transparency and container's processes visibility and can be used as a pattern for other ports.
Ahamad Jafarnejad; Hannan Amoozad Mahdiraji; Javad Amoozadeh
Volume 9, Issue 22 , September 2011, , Pages 1-21
Abstract
By the new developments occurring in technology, management theories, manufacturing and production, and as a result, improvement in products variety, productivity and innovation, all companies and organizations are trying to handle and manage their product in a efficient manner. By identifying new methods ...
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By the new developments occurring in technology, management theories, manufacturing and production, and as a result, improvement in products variety, productivity and innovation, all companies and organizations are trying to handle and manage their product in a efficient manner. By identifying new methods in purchasing, warehousing, handling and ordering, all classical processes have lost their applications. These new methods such as Artificial Intelligence (AI) have provided the necessary tools that we need for decision making in specific situations. In this paper, some new definitions in re order point (ROP) have been discussed; in addition we have used Artificial Neural Networks (ANN) for determining re order point for purchasing goods in commercial organizations, especially import companies. For this matter, ANN has been used for decision making in purchasing, and also normal curve has been used for calculating order lead times. In the conclusion, we agreed that our new model has many priorities to its classical kinds.
Akbar Alam Tabriz; Ehsan Hamzehi
Volume 9, Issue 23 , December 2011, , Pages 1-19
Abstract
One of the most important problems in project management is the undesirable time and cost variances of projects which are not considered before the project implementation. This problem is the result of the risks, occurring in the length of the project implementation. In this case, Risk Management based ...
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One of the most important problems in project management is the undesirable time and cost variances of projects which are not considered before the project implementation. This problem is the result of the risks, occurring in the length of the project implementation. In this case, Risk Management based on PMBOK standard can be proposed as a methodology that is so vital because of uncertain nature of projects and necessity of best resources usage. Also, one of the best methods to prioritize the risks quickly and accurately is Risk Failure Mode & Effect Analysis. In this article, risk assessment is presented by an integrated model based on Risk Management process of PMBOK standard and RFMEA technique in North Azadegan Oil Field Project.
Therefore, in order to achieve the purpose of this article, the risks of a project are identified, firstly. Then, they are prioritized by RFMEA technique. The third step focuses on simulating the project by Pert master software. Finally, the response strategies for each high-priority risk are determined.
Ali Mohaghar; Ali Morvoti Sharifabadi; Seyed Abdolaziz Yonesifar
Volume 9, Issue 24 , March 2012, , Pages 1-22
Abstract
In this article we try to collect all opinions of previous researchers in agility evaluation field and to provide a new method for evaluating agility by using Fuzzy logic. First, the structure’s agility level is evaluated by using FAI method. Due to the ranking Fuzzy numbers’ role and importance ...
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In this article we try to collect all opinions of previous researchers in agility evaluation field and to provide a new method for evaluating agility by using Fuzzy logic. First, the structure’s agility level is evaluated by using FAI method. Due to the ranking Fuzzy numbers’ role and importance in making decisions, then the Fuzzy numbers are ranked by using central gravity point technique and Topsis. In fact, this leads to identifying those factors which caused the structure agility reduction. This method would help managers in making decisions.
Adel Azar; Mahdi Abedini Naeini; Amir Afsar; Mohammad Sabet Motlagh
Volume 14, Issue 42 , October 2016, , Pages 1-30
Abstract
Supplier selection and quota allocation is an important decision in supplychains. This decision can be considered as a complex multi-criteria groupdecision making problem. This decision in many practical situations is verydifficult for vague and uncertain environment. This vagueness and uncertaintycan ...
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Supplier selection and quota allocation is an important decision in supplychains. This decision can be considered as a complex multi-criteria groupdecision making problem. This decision in many practical situations is verydifficult for vague and uncertain environment. This vagueness and uncertaintycan be handled by using fuzzy set theory. Therefore, this paper proposed afuzzy MCDM model to evaluate candidate suppliers and quota allocation. Ahybrid ANP-VIKOR method in fuzzy environment applied first with 16criteria to evaluate suppliers. Then, a fuzzy multi-objective mathematicalmodel is used to quota allocation. Finally, the fuzzy model is solved by Tiwarimethod. An illustration with a data set from a realistic situation is presented todemonstrate the effectiveness of the proposed model.
Ameneh Khadivar; Adel Azar; Fatemeh Mojibian
Abstract
By applying fuzzy set theory in game theory, player’s strategies are determined by fuzzy variable with a definite membership function, where the degree of non-membership is stated by supplement of degree of membership, while determining the value of uncertain parameters of decisions may be associated ...
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By applying fuzzy set theory in game theory, player’s strategies are determined by fuzzy variable with a definite membership function, where the degree of non-membership is stated by supplement of degree of membership, while determining the value of uncertain parameters of decisions may be associated with a hesitation degree. Therefore, in this paper, intuitionistic fuzzy variables are used to better describe vague and imprecise information, and also deals with uncertainty and ambiguity in product pricing process. To provide the proposed model, a two-echelon supply chain with one manufacturer and one retailer is considered. For Designing the proposed pricing game, we have considered structure of two-level programming in a Stackelberg game form. Finally, using a numerical example, structural validation and the effectiveness of proposed model is shown in product pricing process
Hamid Reza Talaie; Akbar Alem Tabrz; Hasan Farsijani
Abstract
The volatile condition of today’s market is forcing the manufacturing managers to adapt the flexible manufacturing systems (FMS) to meet the challenges imposed by international competition, ever changing customer demands, rapid delivery to market and advancement in technology. Despite various barriers ...
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The volatile condition of today’s market is forcing the manufacturing managers to adapt the flexible manufacturing systems (FMS) to meet the challenges imposed by international competition, ever changing customer demands, rapid delivery to market and advancement in technology. Despite various barriers to implementation and development of FMS, there are enablers which facilitate this issue. One of the most important issues in this field and also the aim of this paper is to analysis the behavior of these enablers in order to effective utilization of them in the implementation and development of FMS. Enablers identified through literature review and industrial, and academic experts' opinion. Interpretive structural modelling (ISM) is used to develop a hierarchical structure for analyzing the interactions among enablers. Interpretive ranking process (IRP) is then used to examine the dominance relationship. ISM model highlights the importance of top management commitment and Financial investment over other enablers, whereas IRP model revealed supply chain management and operational and control techniques as the most important enablers due to performance areas. This study also gives a comparative account of ISM and IRP and shows that IRP is a more powerful tool, since it goes one-step further and considers the relationship of enablers with measurable performance indicators
Mohammad Bagher Fakhrzad; Behnam Rajaei
Abstract
In this paper, the problem of job scheduling and preventive maintenance activities is investigated simultaneously in an unrelated parallel machine’s environment with machine deterioration. Due to the existence of deterioration phenomenon and its effect on the job scheduling, the aim of this paper ...
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In this paper, the problem of job scheduling and preventive maintenance activities is investigated simultaneously in an unrelated parallel machine’s environment with machine deterioration. Due to the existence of deterioration phenomenon and its effect on the job scheduling, the aim of this paper is to find the ideal time, the optimum number of maintenance activities and the sequence of the jobs, for minimizing the sum of job's completion times. Preventive maintenance activities may be needed because of tool wears or machine deterioration in a job scheduling horizon. Here, two different deterioration time function and tool wear are studied, in which the machines are reverted to the original condition after any preventive maintenance activity. The duration of each activity is considered as a function of its starting time and its position on the sequence of job scheduling. A mathematical model is proposed and due to its complexity, a simulated annealing Mehta-heuristic algorithm is used for solving the model. Finally, numerical examples are given and sensitivity analysis with various parameters is applied to evaluate the performance of the proposed method
Adel Azar; Ali rajabzadeh ghatromi; Atieh akhavan
Abstract
Measuring sustainable production indicators is becoming an important environmental activity due to government directives and increasing awareness among the people to protect the environment and reduce waste. Sustainable production indicators can be used to evaluate the effect of different production ...
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Measuring sustainable production indicators is becoming an important environmental activity due to government directives and increasing awareness among the people to protect the environment and reduce waste. Sustainable production indicators can be used to evaluate the effect of different production and management activities and as a result, a reliable mechanism will be created for monitoring sustainable production performance in achieving company's sustainability. The purpose of this paper is to enhance the level of sustainability in Isfahan oil refinery through identifying sustainable production indicators and determining the relationships between them in order to develop sustainable production model and also determining the indicators effects intensity on each other. After reviewing related literature and interviewing with experts, 12 sustainable production indicators in the refinery are identified. Then, using ISM technique relationship between indicators are determined. Also we used fuzzy DEMATEL to determine the intensities of relationships. The results show that implementation of supervision and control, resources with high productivity, technology with high productivity, and optimizing the production schedule to improve productivity are the main indicators in achieving sustainable production in the refinery
Ali Mohaghar; Sara Aryaee; Jalil Heidary; Ara Toomanian
Abstract
Nowadays banks, credit and financial institutions are trying to increase profits, reduce costs, compete with rivals, attract customers and increase productivity. One of the factors that contributes to the implementation of these strategies is the optimum locations of branches. Locating the new branches ...
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Nowadays banks, credit and financial institutions are trying to increase profits, reduce costs, compete with rivals, attract customers and increase productivity. One of the factors that contributes to the implementation of these strategies is the optimum locations of branches. Locating the new branches of Mehr Eghtesad bank in the region 1 in Tehran city is the aim of this research. Since the focus of service centers such as banks is on maximal or full service to customers, among the all the covering models, Maximal Covering Location model is chosen as the best option to locate the new bank branches. To this end, related literature about locating bank branches, Geographical Information system (GIS) and maximal covering location problem (MCLP) examined. Then, through library Studies and interviewing with managers and experts, the researcher chose effective criteria and sub criteria for locating bank branches. The weights of criteria and sub criteria were determined through filling the questionnaires by managers. GIS used to extract some input data for the model and weighted maximal covering model (MCLM) with partial covering used to choose the best locations. Mathematical programming model formulated with 363 binary variables, 122 constraints, 121 demand areas, 121 potential points, the 1000 m buffer, α = 0.75, b = 50%, θ = 2 and s= 8 & 30 branches (with two different scenarios) and solved with GAMS optimization software. It is clear that by solving the first scenario, eight suitable locations and second scenario thirty suitable locations to open new branches will be generated.
Seyed Mohammad Taghi Fatemi Ghomi; Ehsan Arabzadeh; Behrooz Karimi
Abstract
Home health care services have a key importance in modern societies. Most organizations working in this area in Iran use the traditional procedure to plan and manage medical staff and determine the arrangement of visiting patients. This procedure often increases costs and reduces the satisfaction of ...
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Home health care services have a key importance in modern societies. Most organizations working in this area in Iran use the traditional procedure to plan and manage medical staff and determine the arrangement of visiting patients. This procedure often increases costs and reduces the satisfaction of patients. In this paper, a multi-period routing and scheduling model is proposed in order to visit patients and provide them medical services. Considering both dependency and independence of a patient's visits with each other, assuming the model as multi-depot as well as multi period are some innovations of this study. The main purpose of the proposed model is to reduce total costs of home health care organization. Model has been solved in small scale by GAMS software. To solve the model in large scale, developed Variable neighborhood search is proposed and compared with simulated annealing algorithm and ant colony system. Results show that costs are decreased and the proposed algorithm has better performance
Mina Riahee; Mostafa Zandieh
Abstract
Recovering, recycling, and remanufacturing end-of-life products (disassembly line) are appropriate methods of reducing the environmental impact associated with wastes. A disassembly line is a viable option for doing so. The objective of the disassembly line balancing problem (DLBP) is to coordinate disassembly ...
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Recovering, recycling, and remanufacturing end-of-life products (disassembly line) are appropriate methods of reducing the environmental impact associated with wastes. A disassembly line is a viable option for doing so. The objective of the disassembly line balancing problem (DLBP) is to coordinate disassembly line activities so that total operating times of workstations are nearly equal. The disassembly process mainly aims to reuse components in end-of-life products and thus reduce adverse environmental effects. This paper employs an approach based on the Kano model, Fuzzy AHP, M-TOPSIS, and PROMETHEE. Furthermore, using AND/OR precedence relationships, the optimal sequence of disassembly is obtained. Tasks are assigned to workstations according to priority and precedence relationships. An illustrative example of the proposed method is solved using both M-TOPSIS and PROMETHEE. Both methods lead to a decrease of two seconds in total cycle time. Despite yielding equal results, PROMETHEE is superior to M-TOPSIS in terms of complexity and ease of use. However, it takes longer to complete.
Negin Mohebbi; Amir Abbas Najafi
Abstract
Portfolio selection has always been one of the important issues in the field of investment management, which discusses how to allocate an investor's capital to different assets and form an efficient portfolio. If the modeling assumptions for portfolio optimization is closer to the real world, the results ...
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Portfolio selection has always been one of the important issues in the field of investment management, which discusses how to allocate an investor's capital to different assets and form an efficient portfolio. If the modeling assumptions for portfolio optimization is closer to the real world, the results will be more reliable. Considering single horizon for investment is not real and more investors are investing for more than one period to be able to revise their positions over time. Moreover, in the real world, data and parameters are always uncertain. Therefore, the development of multi-period portfolio optimization models is a basic requirement. In this paper, based on the portfolio theory, a new multi-period portfolio selection model is proposed, which contains transaction costs, liquidity constraints, threshold constraints, cardinality constraints and class constraints. Moreover, mean absolute deviation is used as a measure of risk and uncertainty of data is modeled with scenario tree. Also, in order to solve the proposed model, the dynamic programming method has been used and finally, the model efficiency was tested using data for 5 stocks from Tehran Stock Exchange in a period of 1390 to 1394. In the proposed model, the effect of some factors such as boundary of decision variables and the number of assets in the portfolio is examined. The results indicate that the proposed model has a suitable performance and completely consistent with the theory.
Abstract
Supply chain collaboration has been recognized as a potential business differentiator and a source of creating competitive advantage. One of the most common collaborations in the supply chain is vendor managed inventory. In this paper a vendor managed inventory system at two echelons with one vendor ...
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Supply chain collaboration has been recognized as a potential business differentiator and a source of creating competitive advantage. One of the most common collaborations in the supply chain is vendor managed inventory. In this paper a vendor managed inventory system at two echelons with one vendor and multi retailers is studied. At this multi products system, goods are send to retailers cyclically. At reality, there is no exactness about available capacity of warehouses space and budget of both partners. Therefore stochastic constraints of warehouse space and budget are added to the model. The goal of the model is to minimize the total cost of the supply chain by optimizing the order quantity of each product for each retailer. At the end a numerical example of the model is solved by GAMS24.1.2 software. The sensitive analysis on the partnerؘs parameters cleared that the parameters of the vendor is more effective to mitigate the total cost of the supply chain.
Khadije Mostafaee Dolatabad; Adel Azar; Abbas Moghbel; Koorosh Parvizian
Abstract
Nowadays the process performance is a key success factor in the competitive environment of banking industry. Various approaches have been proposed to identify and improve processes. Process mining is a new process management approach which is supposed to discover and improve the actual process model ...
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Nowadays the process performance is a key success factor in the competitive environment of banking industry. Various approaches have been proposed to identify and improve processes. Process mining is a new process management approach which is supposed to discover and improve the actual process model based on information technology. Despite of the theoretical development, authors have paid less attention to process mining applicability. In this paper applicability of the Fuzzy Miner algorithm of process mining to semi-automatic processes is investigated. We used PM2 methodology with some changes at the first and the fifth step to discover a semi-automated process model. At the first step manual and system data is combined and the desired detail level is determined by process owners. Then the model is discovered by means of Fuzzy Miner algorithm through ProM tool. As the manual data could affect the discovered model adversely so besides conformance checking criteria a new expert based criteria is proposed to validate the model. The expert validation criteria is equal to 87.2 percent for the discovered model of the selected process which means process mining could be applied to semi-automated processes successfully
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Abstract
Reducing the cost of wastage and shortage of hospitals' blood products with regard to the compatibility of blood groupsBlood supply chain management is considered one of the main components of the health system of each country. This chain consists of two-component blood collection and supply of products ...
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Reducing the cost of wastage and shortage of hospitals' blood products with regard to the compatibility of blood groupsBlood supply chain management is considered one of the main components of the health system of each country. This chain consists of two-component blood collection and supply of products for blood donors has been formed. This article focuses on the issue of the supply of blood products; that tries to provide a mathematical model to reduce waste costs and a shortage of blood products to hospitals. In this model, while meeting the needs of different groups of hospitals, blood in hospitals is minimized inventory costs. A mathematical model in five hospitals affiliated Blood Transfusion Center of East Azerbaijan is implemented. With regard to the compatibility of blood groups and red cell products supply costs and inventory decreased 18% o + blood group also declined to be compatible with other blood types.Keywords: blood supply chain, RBC, compatibility, BTC
hossein mohebbi; adel azar; Abasali Heidari; Ameneh Khadivar
Abstract
Nowadays, most supply chains are starting to go green in their business with pay more attention to environmental protection as competitive advantage. Therefore, Designing a two-stage green supply chain for optimum assignment a green supplier to a green producer based on maximum efficiency and attention ...
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Nowadays, most supply chains are starting to go green in their business with pay more attention to environmental protection as competitive advantage. Therefore, Designing a two-stage green supply chain for optimum assignment a green supplier to a green producer based on maximum efficiency and attention to intermediate products and processes is essential. Because, economic performance and environmental performance of the supply chain will increases. One of the methods used to evaluating efficiency in the green supply chain management, is data envelopment analysis (DEA). The traditional DEA methods for evaluating efficiency of supply chain processes and multi-stage systems not working properly, Because, each decision making units is assumed as a black box and ignore its internal processes. In order to overcome this deficiency, a novel two-stage network DEA will be presented based on the concepts of Electrical Engineering that ability to consider all inputs, Intermediate products, desirable and undesirable outputs between supplier and producer in the green supply chain for optimum assignment a supplier to producer based on maximum efficiency. The proposed model has been described by an application example and Its reliability has been confirmed.
Mohammad Ali Khatami Firoozabadi; Abbas Abbasiazar; Mohammad Reza Taqva; kamran feizi
Abstract
AbstractIn this paper, a model for evaluating electronic services in nonprofit institutions is presented. The idea of this model was due to a vacuum of research in this field. Regarding this issue, independent variables have been extracted from the perspective of members of the research community for ...
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AbstractIn this paper, a model for evaluating electronic services in nonprofit institutions is presented. The idea of this model was due to a vacuum of research in this field. Regarding this issue, independent variables have been extracted from the perspective of members of the research community for the evaluation of electronic services based on inductive method and fundamental conceptualization theory. These variables include governance issues, tools, and customers.Indicators for measuring two variables of government and a measurable tool refer to financial systems and based on cost accounting methodology. However, it was not possible to determine the amount (rials) of the customer variable in this way. Therefore, a process was developed using existing theoretical foundations, including the relative estimation method for accounting, the Delon and McLean evaluation model, and the value engineering and how these two variables influence the management and tools. Then, in order to test the model and development process, the municipality of Tehran decided to evaluate the electronic license of the traffic plan. The result of determining the value of electronic services allows the use of this model in real terms
Akbar Rahimi; Abbas Raad; Akbar Alem Tabriz; Alireza Motameni
Abstract
The production of defense products is indispensable because of the role it plays in deterring and promoting the national security of the country, and, on the other hand, the economic conditions prevailing in the country have made production of defense products at the lowest cost an obligatory requirement. ...
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The production of defense products is indispensable because of the role it plays in deterring and promoting the national security of the country, and, on the other hand, the economic conditions prevailing in the country have made production of defense products at the lowest cost an obligatory requirement. The lean supply chain of defense industries by focusing on waste removal and reducing costs, is an answer for producing lower-cost defense products. The purpose of this research is to identify the most important practices of the defense industries lean supply chain, and then, using exploratory and confirmatory factor analysis, the categorization and verification of the practices based on Structural Equation Modeling (SEM), and then, using the Interpretive Structural Modeling (ISM) model, presents a model that shows the relationships between these practices. The power of driving and dependence of practices are also analyzed using the MICMAC technique. The results of the research show that out of a total of 84 practices introduced in the previous research for the lean supply chain, 94 practices are effective in the lean supply chain of defense industries. It consists of 8 categories and includes: Workshop level management, Quality management, just in time, Repairs and Maintenance management, Human resource management, Suppliers relationships, new products design and Customer relationship. Customer’s relationship as the most basic and most driving practice and supplier relationship is the most dependent practice of the defense industries lean supply chain.
Fatemeh Mojibian
Abstract
It’s more than one decade that industrial development based on the structure of industrial clusters as a new strategy has been planned and administrated by developed industrialized countries. Considering the importance of the role of industrial clusters in economic development programs, providing ...
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It’s more than one decade that industrial development based on the structure of industrial clusters as a new strategy has been planned and administrated by developed industrialized countries. Considering the importance of the role of industrial clusters in economic development programs, providing solutions to improve, progress and development of clusters has always been a concern for researchers and specialists.The aim of this study is to provide a mechanism for pricing process of the product in this industrial-economic phenomenon; So that the structure of the proposed model is defined based on mechanisms and activities of the components of industrial clusters. The proposed pricing process is presented based on the concept of Stackelberg game theory and tariff pricing strategy, and in order to solve the model in production level of cluster, a meta-heuristic genetic algorithm is used. Finally, the performance and efficiency of the proposed model is studied in the form of a numerical example, and using the parameter tuning Taguchi method the optimal value of the model variables are presented. Based on the obtained results, the optimal wholesale price of cluster’s products are determined and each manufacturer select the appropriate tariff based on its optimal demand.
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.
