Mina Nouri Harzvili; Seyyed-Mahdi Hosseini-Motalgh; Mohammadreza Nematollahi
Abstract
Supply chain (SC) coordination is one of the major issues which has been considered in the investigations of supply chains. In this study, a two-echelon supply chain with one retailer and one supplier is considered. Demand is stochastic and has a normal distribution and lead time is assumed deterministic. ...
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Supply chain (SC) coordination is one of the major issues which has been considered in the investigations of supply chains. In this study, a two-echelon supply chain with one retailer and one supplier is considered. Demand is stochastic and has a normal distribution and lead time is assumed deterministic. The retailer uses a periodic review inventory system for his replenishment decisions and faces partial shortages. Review period and order-up-to-level are decision variables of the retailer. First, the optimized values of the variables in both decentralized and centralized decision-making structures are obtained. Although Centralized decision making increases the whole SC’s profitability, it reduces the profitability of the retailer in comparison with the decentralized model; In order to make centralized decisions and to encourage the retailer to change his decisions, a coordination model is proposed. Quantity discount contract is used as an incentive scheme in the coordinated model. For calculating the exact value of the discount factor in this contract, the both member’s profit is considered. Furthermore, to fairly share the extra profit achieved by the coordinated model, a profit-sharing strategy, based on the bargaining power of the members, is proposed. A set of numerical experiments and sensitivity analysis, which is performed with respect to several key parameters of the study, reveal that, from economic viewpoint, the proposed coordination model for the supplier-distributor channel, can increase the channel profit up to its optimal profit level and guarantee the improvement of channel members’ profit in comparison with their profit under the decentralized model. From inventory management viewpoint, the proposed discount contract reduces the distributor’s inventory shortage risk. Moreover, results of evaluating the proposed model under high levels of demand uncertainty shows that the proposed model is capable of coordinating the SC under various conditions such as demand frequencies and high quantities of standard deviation of the demand
Asghar Aini; Amir Salehipour
Volume 8, Issue 21 , June 2011, , Pages 167-180
Abstract
For a network with cycle, where at least one cycle exists, the Floyd- Warshall algorithm is probably the most used algorithm to determine he least cost path between every pair of nodes on this network, i.e. the solution for the shortest path problem with cycle. In this paper, a new algorithm for this ...
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For a network with cycle, where at least one cycle exists, the Floyd- Warshall algorithm is probably the most used algorithm to determine he least cost path between every pair of nodes on this network, i.e. the solution for the shortest path problem with cycle. In this paper, a new algorithm for this problem which requires less computational effort than the Floyd-Warshall algorithm has been developed Furthermore, it can be shown that the basis of our algorithm is much easier to be learnt and understood which might be an advantage for educational puposes. A small example validates our algorithm and shows its implementation.
Mostafa Ekhtiari
Volume 8, Issue 19 , December 2010, , Pages 189-216
Abstract
One of the most popular approaches to solve multi-objective stochastic problems is Chance Constrained Programming (CCP). Based on this approach, a deterministic equivalent model is presented for multi-objective stochastic problem and then is optimized by a solver model. In this Paper, both CCP approach ...
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One of the most popular approaches to solve multi-objective stochastic problems is Chance Constrained Programming (CCP). Based on this approach, a deterministic equivalent model is presented for multi-objective stochastic problem and then is optimized by a solver model. In this Paper, both CCP approach and the Global Criterion model are combined and a model will be proposed which is called Chance Constrained Global Criterion (min-max) (CCGC(min- max)). The proposed model is able to present a deterministic equivalent model for multi-objective stochastic problem and thereafter optimizes it. One of the subjects which always planners of manufacturing systems have concerned about, is determining the optimal number of manpower with regard to objectives such as to maximize the output, to minimize the wage cost and to minimize no allowance idle time. Hence to illustrate the proposed model, a multiobjective stochastic problem is presented for to determine the optimal number of manpower in a job shop manufacturing system under uncertainty. The optimization results of this problem using the proposed model and the CCCP(with min-max norm) model under the same conditions, express the proposed model with existence fewer number of variables and constraints compared to the CCCP(min-max) model, presents the wholly same results in fewer number of iterations.
Naser Hamidi; Parvaneh Samouei; Mahdi Eghbali
Volume 8, Issue 20 , March 2011, , Pages 195-214
Abstract
Identification and determination of products and their quantities according to available resources are called Product Mix Problem in manufacturing plants. There are many methods for solving these problems. One of these methods is Theory of Constraints which is easy to use and understand. But unfortunately, ...
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Identification and determination of products and their quantities according to available resources are called Product Mix Problem in manufacturing plants. There are many methods for solving these problems. One of these methods is Theory of Constraints which is easy to use and understand. But unfortunately, it can’t solve multi bottleneck problems, so it doesn’t have sufficient efficiency when introduce new product. Consequently Revised Theory of constraints was proposed to solve these problems. This is one of the best methods that provide the same results as ILP in most of the cases. But in this algorithm all parameters are certainty. However, in the real-world, such parameters like capacity and demands are uncertainty. In this situation, fuzzy set theory can be used as an effective tool. So In this paper, an algorithm based on RTOC and fuzzy logic is proposed for solving Product Mix Problems with fuzzy capacity and fuzzy demand. This algorithm is more flexible and popularized than other methods which arc used for solving fuzzy product mix problems.
Alireza Amir Kabiri; Helia Tehrani
Volume 5, Issue 14 , December 2006, , Pages 201-223
Abstract
Current study examines the influence of cultural factors based on DOCS model) on job satisfaction and employee performance of social security organization (indirect ...
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Current study examines the influence of cultural factors based on DOCS model) on job satisfaction and employee performance of social security organization (indirect remedy bureau of Tehran province). Since its goal is the examination of organizational culture factors influence on job satisfaction and employee performance and it is known as a guideline for organization in order to enhance the job satisfaction and performance of its employees and offer higher productivity to it, it is known as applicable research.
In this research it is used of simple accidental sampling and gender, background, marital status, age, education, income level, lower position then other colleagues and work units among social security organization employees (indirect remedy bureau of Tehran province) have been included.
In order to conduct test, the Denison questionnaire has been used that assess the organizational culture based on 4 dimensions namely involvement, consistency, adaptability and mission. To assess each dimension of above items, 3 indications has been defined that each one is evaluated by 5 questions and wysocki and kromm job satisfaction questionnaire that has 5 dimensions(work, supervisor, enhancement, colleagues, payment) have been applied and likewise performance evaluation questionnaire of social security organization have been used that is compiled by planning and management organization. Organizational culture questionnaire and job satisfaction has been filled by employees and performance questionnaire has been completed by related authorities. The statistical society includes 580 persons who 23L persons by using of sample volume formula have been determined. After analyzing of information that has been done by using of description statistic (average, frequency and deviation standard) and chi square and fisher test in elicit statistics, questionnaires was distributed among 9 work units of indirect remedy bureau of social security organization including par clinic, physicians, auditions, statistic, accounting, education, hospitality, da mage, drugstore. Finally after collection and analyzing of obtained information, the image of social security organization culture has been drawn in indirect remedy bureau of Tehran province that imply on culture status of this organization that based on Denison organizational culture categorization in this organization, the organizational culture is based on continuity. This organization has reached to best situation in adaptability and mission variables and its strategic direction indications and organization learning is higher then intermediate level. 10 other indications is lower then intermediate level. The result is that despite relationship between organizational culture factors with job satisfaction and employee performance, this relationship and its influence among statistical society is not significant, it means that influence of organizational culture factors on job satisfaction and employee performance of social security organization (indirect remedy bureau of Tehran province) is so low that it cannot affect them and thus all of research hypothesis would be rejected meaning there is no significant relationship between each componants of organizational culture.
Mohammad Amin Nayebi; Abbass Panahinia
Volume 9, Issue 22 , September 2011, , Pages 209-235
Abstract
In this paper we developed an inventory model in mixed imprecise and uncertain environment. Presented model is developed form of (r,Q) and is a multi-items model with two objectives as minimizing costs (holding & shortage) and risk level under constraints including available budgetary, the least ...
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In this paper we developed an inventory model in mixed imprecise and uncertain environment. Presented model is developed form of (r,Q) and is a multi-items model with two objectives as minimizing costs (holding & shortage) and risk level under constraints including available budgetary, the least service level, storage spaces & allowable quantities of shortage. Demand distribution functions are assumed to be exponential and extra demands are supposed in two situations as lost sales and backlogging. At first we develop crisp model then fuzzy stochastic model with fuzzy budgetary, allowable quantities of shortage and shortage spaces (i.e. stochastic with normal distribution function) parameter. All of fuzzy numbers are triangular type. In methodology of solution we change model to a crisp multi-objective by using difuzzification of fuzzy constraints and fuzzy chance-constrained programming methods, and then solve it by fuzzy logic method. Finally an illustrated example is taken and solved using LINGO package.
Payam Chiniforooshan; Behrooz Pourghannad; Narges Shahraki
Volume 9, Issue 23 , December 2011, , Pages 209-231
Abstract
In this paper, a mathematical model is proposed to solve cell formation problem considering alternative process routings in which more than one process route for each part can be selected. The model attempts to minimize intercellular movements and incorporates several real-life production factors and ...
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In this paper, a mathematical model is proposed to solve cell formation problem considering alternative process routings in which more than one process route for each part can be selected. The model attempts to minimize intercellular movements and incorporates several real-life production factors and practical constraints. In order to increase the flexibility provided by the multiplicity of routings, the model distributes production volume of each part among alternative routes. Also, a constraint enforcing work load balancing among machines is included in the model. Due to the complexity and combinatorial nature of this model, an enhanced algorithm comprised of a genetic algorithm and a linear programming is proposed for solving the model. The proposed algorithm is tested by a range of test problems and compared with two algorithms from the literature .The computational results show that the proposed algorithm is effective and the proposed approach offers better solution.
Azam Keshavarz Hadadha; Zahra Jalili Bal; Siamak Haji Yakhchali
Abstract
Project Portfolio Selection is one of the strategic decisions on the level of management in project-oriented organizations; which is one of the most important and effective stages in project portfolio management. In other words, after identification and evaluation of different projects, optimal combination ...
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Project Portfolio Selection is one of the strategic decisions on the level of management in project-oriented organizations; which is one of the most important and effective stages in project portfolio management. In other words, after identification and evaluation of different projects, optimal combination of projects must be selected based on different criteria. Since commonly resources of organizations are less than required resources on projects that are ahead of the organization; so project selection among different project portfolio and decision making about these issues are inevitable in organizations. So durability of organizations depends closely on the way of modeling and used approaches for project selection problem. In previous researches related to project selection problem, generally the problem of project clustering have not deeply been considered while project clustering may allow that projects to reach the highest return. In this article, we will propose a model for clustering, evaluating and selecting projects. At first projects will be clustered in various portfolios by K-MEANS algorithm, then projects of each portfolio will be evaluated and prioritized with analytical network process (ANP). Finally, projects from each portfolio will be selected based on knapsack problem
Saber Shiripour; Ameneh Adib
Abstract
Supply chain is a network consists of several parts and their inter-relationships. To achieve continuous improvement in supply chain, it is necessary to continually evaluate supply chain performance. One of the important points in evaluating the performance, identify weaknesses subunits, considering ...
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Supply chain is a network consists of several parts and their inter-relationships. To achieve continuous improvement in supply chain, it is necessary to continually evaluate supply chain performance. One of the important points in evaluating the performance, identify weaknesses subunits, considering the relations between the units in system management and balance between the sectors. In this paper, Network Data Envelopment Analysis technique is used for performance evaluation. Identification of inefficient units in the supply chain and improve their performance is of utmost importance. Since the supply chain is made up of different units, improving several unit is impossible. So, setting priorities is necessary to improve the unit. In addition, the selection of Pattern units is important to get an idea on how to improve inefficient units. So, in this work, using Fuzzy Data, a systematic method is defined for benchmarking supply chain, which in addition to evaluating the performance of the entire supply chain and determine efficient and inefficient decision making units, the efficiency of each of the parts of the supply chain is also calculated. This method is used for performance evaluation of the supply chains of Polyethylene pipes and so the communications and the processes of internal wards of their supply chain is reviewed. In the end, using benchmarking technique, improvement priorities are determined for different levels of the supply chain.
Reza Abbasi
Abstract
Nowadays, most of the holdings and contracting companies are based on their projects, so most of their revenues depend on the selection and proper implementation of the projects. Basically, evaluating and selecting projects to form an optimal portfolio of an organization's project is a multi-criteria ...
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Nowadays, most of the holdings and contracting companies are based on their projects, so most of their revenues depend on the selection and proper implementation of the projects. Basically, evaluating and selecting projects to form an optimal portfolio of an organization's project is a multi-criteria decision-making problem that has uncertainty and ambiguity, depending on its nature and the judgments of decision makers. Hence, managers need systematic mechanisms to make the right decisions in the presence of multiple criteria. In this paper, an integrated framework based on Fuzzy function performance expansion and the Fuzzy Network Analysis process approach is proposed to revert the requirements of employers to the required technical characteristics as well as to evaluate and select candidate projects for entry into the project portfolio of the organization. To demonstrate the capabilities of the proposed framework, the evaluation and selection of the most suitable project in the field of building and construction was carried out in a project-based project company. The results indicate that among the requirements of the employers in this area, "systematic project risk management" of the highest importance (weight) and among the technical characteristics of the project (project evaluation criteria), "technology capability" with a score of 0.088 is more important than other Metrics. In addition, the proposed Fifth Project, in aggregate, has all the highest scores and serves as a candidate project.
Abstract
In this study, a multi-objective mathematical model is developed to optimize the distribution network in a three level supply chain based on the inventory location- models with the aim of locating distribution centers. also, appropriate allocation of customers in order to maximize coverage of the demand, ...
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In this study, a multi-objective mathematical model is developed to optimize the distribution network in a three level supply chain based on the inventory location- models with the aim of locating distribution centers. also, appropriate allocation of customers in order to maximize coverage of the demand, increasing sales through discount policies and ultimately improving the transportation system by selling the package of products agaainst individual sales is considered.On the other hand, the policy of selling pakages, Increases the total sales and their profit margin by creating appropriate price for the customrers. Due to the circumstances, each distribution center has specific reliability level which the proposed model try to maximize it. In order to make the model more realistic, some parameters have been considered under conditions of uncertainty and robust planning techniques have been used to solve it, finally, to validate the presented model, and instance according to real-world problems were solved by GAMS software. The Results are presented in details
elahe shakeri kenari; Abdolhamid Safaei Ghadikolaei
Abstract
Abstract: Maintenance and Repairment is important, because Efficient Management can be very Effective in Countinuity Production Lines and Reduce Costs. This Problem is very important in power plants as the main resource of energy supply in the country. The Purpose of This Paper is to Presentation a Practical ...
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Abstract: Maintenance and Repairment is important, because Efficient Management can be very Effective in Countinuity Production Lines and Reduce Costs. This Problem is very important in power plants as the main resource of energy supply in the country. The Purpose of This Paper is to Presentation a Practical Approach to Determine Maintenance Strategy that is Suitable for any Device. In This Regard, the Fuzzy FMEA Approach and Design Fuzzy Inference System Evaluated the Risk of Critical Failures; as well as the Intensity also was assessed for Futher Investigation; Combining these Results, Appropriate Maintenance Strategy each Device was Determined. The Results Show, the “Generator” as the main unit of Electricity Production in Power Plants, with the Risk Priority Number of 6.56 and Intensity of 0.55 in the Fourth Dimention of Graph RPN-TI has been. In This Case, the Appropriate Strategy for this Device, the Maintenance Strategy is Proactive. Since the Devices include: Ayrpryhytr, Turbine Condenser, F-D Fan and Electro-motor with RPN high and Low TI; in the Third Dimention of Graph have been, Strategy Condition- based on the Situation is the Appropriate Strategy for their Maintenance.
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.
Ehsan Kashi; Mehri Shahriari
Abstract
Relationship management in the supply chain has a significant impact on the operational competitiveness, performance and profitability of the companiesand power is one of the important concepts that is considered in the relationships between members of a supply chain. The purpose of this study was to ...
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Relationship management in the supply chain has a significant impact on the operational competitiveness, performance and profitability of the companiesand power is one of the important concepts that is considered in the relationships between members of a supply chain. The purpose of this study was to investigate the effect of power in supply chain members’ relationships on financial performance of building companies in Semnan. Trust, commitment and strategic performance are also used as mediator variables.This applied research method is descriptive. The research population is the managers of construction companies in Semnan city. For this purpose, 140 questionnaires were collected from this community. The research hypotheses were studied using structural equation modeling. Results show that non-coercive power has a direct and significant impact on trust and commitment in relations between members of the supply chain. If the coercive power has a reciprocal and significant effect on trust. The direct and significant effects of trust on commitment and financial performance and strategic performance have been confirmed. Commitment has a direct and significant effect on strategic performance and financial performance and the direct and significant impact of strategic performance on financial performance has also been confirmed.
Abstract
The selection of project portfolio is the main problem in project-based organizations. In project selection, optimized decision to maximizing utilization of limited resources and achieving organizational goals by considering restrictions are important. Therefore, to facilitate project portfolio selection ...
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The selection of project portfolio is the main problem in project-based organizations. In project selection, optimized decision to maximizing utilization of limited resources and achieving organizational goals by considering restrictions are important. Therefore, to facilitate project portfolio selection in project-based organizations, an efficient model is proposed that is able to consider limitations, goals, and priorities of the organization in selecting the optimal combination of projects. The proposed model is a hybrid and flexible one which, including four main steps. First, with initial screening, to save time and money by using non-compensatory method, some of the poor candidate options are deleted. Then, due to multi-criteria nature of the problem, qualitative and quantitative criteria, and uncertainty of data in real world, the projects are ranked using fuzzy analytic hierarchy processes and uncertain judgments of decision-makers. To generate project baskets, integer linear programming (ILP), backpack model, is employed modifying the coefficients of the objective function of each project to preserve multi-criteria rating of projects, and then evaluate and rank the baskets. To validate the proposed model, we have carried out selection of project portfolio in the oil refining industry.
Mirza Hassan Hosseini; Abdolhamid Safaee; Somayeh Alavy nezhad
Volume 8, Issue 19 , December 2010, , Pages 217-238
Abstract
Nowadays quantitative methods have become very important tools for forecasting purposes in markets as for improved decisions and investment. Forecasting accuracy is one of the most important factors involved in selecting method; Artificial Neural Network (ANNs) arc flexible computing frameworks that ...
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Nowadays quantitative methods have become very important tools for forecasting purposes in markets as for improved decisions and investment. Forecasting accuracy is one of the most important factors involved in selecting method; Artificial Neural Network (ANNs) arc flexible computing frameworks that can be applied to a wide range of forecasting with a high degree of accuracy, in this research, Fuzzy logic and Artificial Neural Network are integrated in to the Fuzzy Back- Propagation Network (FBPN) for sales forecasting in Wood and Paper industry. The proposed system is evaluated through the real world data provided by a Wood an d Paper company and experimental results indicate that the Fuzzy Back- Propagation approach outperforms are better other two different forecasting models (Linear Regression and ARIMA time series model) in MAPE measures.
N.M. Yaghoubi; F. Alizadeh
Volume 5, Issue 14 , December 2006, , Pages 225-249
Yahya Hassas Yeganeh; Abdollah Moloudi
Volume 9, Issue 23 , December 2011, , Pages 233-261
Abstract
The research treat the proportion of institutional investors, institutional investors concentration, the directors of board compensation, the proportion of outside directors and CEO nonduality as corporate governance mechanisms with created shareholders value (CSV) as performance measurement. To ...
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The research treat the proportion of institutional investors, institutional investors concentration, the directors of board compensation, the proportion of outside directors and CEO nonduality as corporate governance mechanisms with created shareholders value (CSV) as performance measurement. To perform this research, the data for 63 publicly listed firms in Tehran Stock Exchange during 2003-2009 were used. For this purpose, sample firms were divided in two group. Group1 including the firms were created value (the shareholder return exceeds the required return), group2 including the firms were destroyed value (the shareholder return is less than the required return). The research hypotheses were tested by using regression analysis and independent t-test, findings showed that:
In firms that were created value, we detected a direct significant relationship between directors of board compensation and CSV.
In firms that were destroyed value, we detected a direct significant relationship between institutional investors concentration and CSV.
In firms that were destroyed value, we detected an inverse significant relationship between directors of board compensation and proportion of outside directors with CSV.
We did not detect a significant relationship between proportion of institutional investors and CEO non-duality with CSV.
Mahdi Bastan; Elaheh Abbasi; Alimohammad Ahamadvand; Reza Ramazani K
Abstract
Acceptance of new technology and developed products is one of the main interest of innovative organization’s managers. Service organizations create value for their customers through the development of new products and services and can earn profit from this. New products development lead to high ...
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Acceptance of new technology and developed products is one of the main interest of innovative organization’s managers. Service organizations create value for their customers through the development of new products and services and can earn profit from this. New products development lead to high R&D costs, and if the new products and services are not accepted by target customers, the expected profit will not be achieved. The purpose of the present research is to provide a deep insight about effective factors for mobile banks’ acceptance. Mobile-bank is an e-banking channel with the ability to earn income and profit as well as reduce the cost of operation for banks. So, understanding the effective factors as well as the dynamics in the process of acceptance and diffusion it by customers has importance for managers of banks. In this research, after reviewing the related literature about technology acceptance, and identifying the variables affecting the acceptance of mobile banking, a system dynamics model was presented which by representing the causal structure and simulation model, can analyze the dynamics of the acceptance process. The results of implementing the four scenarios were simulated and analyzed. The results show that the improvement of effective factors on the intention to use of customers is more effective than other policies, such as promotion advertising and development of new services and feature in the current mobile bank
Ardeshir Ahmadi
Abstract
This paper presents a scenario-based multistage stochastic programming model to deal with multi-period portfolio optimization problem with cardinality constraints and proportional transaction costs. The presented model aims to minimize investor's expected regret, while setting a minimum level of expected ...
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This paper presents a scenario-based multistage stochastic programming model to deal with multi-period portfolio optimization problem with cardinality constraints and proportional transaction costs. The presented model aims to minimize investor's expected regret, while setting a minimum level of expected return. To generate the scenario tree of stochastic parameters, a random walk model based on Johnson transformation and a sampling procedure is used. To implement the scenario tree generation method, historical returns of 28 domestic indices are used. Then, the scenario tree of stochastic parameters are used to solve the proposed multistage stochastic programming model. In addition, the impact of transaction costs, minimum expected returns and predetermined target wealth are investigated. Numerical results show that transaction costs, minimum expected returns and target wealth have a direct impact on expected regret. Finally, back testing simulation is used to assess and analyze the impact of the proposed approach in a dynamic, multi-period setting.
Davood Gharakhani; Abbas Toloie Eshlaghy; Kiamars Fathi Hafshejani; Farhad Hosseinzadeh Lotfi; Reza Kiani Mavi
Abstract
Data Envelopment Analysis (DEA) is a powerful analytical technique for measuring the relative efficiency for a set of Decision Making Units (DMUs) based on their inputs and outputs. There are weaknesses in conventional models DEA. Most important of which is the weight shift input and output which makes ...
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Data Envelopment Analysis (DEA) is a powerful analytical technique for measuring the relative efficiency for a set of Decision Making Units (DMUs) based on their inputs and outputs. There are weaknesses in conventional models DEA. Most important of which is the weight shift input and output which makes the efficiency of Decision Making Units with different weights measured. A characteristic of Traditional DEA models is that it allows DMUs to measure their maximum efficiency score with the most favorable weights. As well as the conventional DEA models are not focused network of evaluation units. In this paper we propose to correct the weaknesses the common set of weights (CSW) in network DEA model based on the Goal programming approach. To test the effectiveness of the proposed model and solve real data is used by insurance companies active in Qazvin province. The model presented in this paper units decide on a similar scale with a set of weights for neutral evaluation is common. Proposed approach helps policy makers to better understand the strengths and weaknesses of DMUs and try to promote the strengths and remove weaknesses to improve the efficiency and ranking of given DMUs.
Abstract
This paper addresses the issue of horizontal strategy formulation, an essential part of corporate-level strategy, based on sharing resources among businesses. Therefore, in this study, a model was developed to evaluate the opportunities for sharing resources among businesses in order to facilitate strategic ...
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This paper addresses the issue of horizontal strategy formulation, an essential part of corporate-level strategy, based on sharing resources among businesses. Therefore, in this study, a model was developed to evaluate the opportunities for sharing resources among businesses in order to facilitate strategic decision-making at the corporate-level. In line with the mentioned goal for designing a comprehensive model, literature was reviewed extensively and variables extracted from literature review and experience of industry experts were used to determine relationship between them in the form of dynamic approach leading to the creation of a dynamic model to evaluate sharing resources. This model includes affective factors on the process of sharing resources and their interaction that shows the dynamics of these factors over time. Model validity was done in the system dynamic approach via validation tests and computer simulations. Based on the obtained results, the validity of the model was confirmed for making decisions on resource sharing in multi-business firms.
Nasser Shahsavari-Pour; Hosein Kazemi; Morteza Hoseinzadeh; Daryoosh Maheri; shahla heydarbeigi
Abstract
Nowadays, one of the basic problems of organizations, in establishing the system of performance evaluation, is to identify the key indicators. In recent years, among the valuation models and performance, it has been more attention to the balanced scorecard; but many of the balanced assessment projects ...
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Nowadays, one of the basic problems of organizations, in establishing the system of performance evaluation, is to identify the key indicators. In recent years, among the valuation models and performance, it has been more attention to the balanced scorecard; but many of the balanced assessment projects face up to fail in action. The most important reasons behind the failure in the establishment of a weak balanced assessment is in the selection of the appropriate key indicators. Hence, this study tried to applying an appropriate method for providing a model for the selection of the performance appropriate key indicators by the help of the modified balanced scorecard model and the use of a linear programming and the Operating consequences of this approach will present as a case at Commercial Company in Kerman. This study is an applied research, its method is descriptive – analytic one. The population included 71 members of the technical staff of projects and storage installations of state Commercial Company in Kerman that 10 members were the managers of the company.
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
Masoud Fazli; Ali Fallah; Amir KHakbaz
Abstract
Nowadays, risk management is a good way to deal with the risks that may occur in a project. In risk response analysis, risks are often assumed to be interdependent. In fact, the risks affect each other in project. Implementing and managing various projects, including construction projects, has a lot ...
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Nowadays, risk management is a good way to deal with the risks that may occur in a project. In risk response analysis, risks are often assumed to be interdependent. In fact, the risks affect each other in project. Implementing and managing various projects, including construction projects, has a lot of ambiguous cases. Such cases, called uncertainty, change the outcome sometimes better, and sometimes worse than anticipated. Complexity, challenge and uncertainty are more common in building projects with different interactions between the pillars inside and outside it. Therefore, in order to realize the quantitative and qualitative goals of these projects, it is necessary to use a framework for identifying risks, monitoring and controlling them in relation to the activities and complexity of their communications .In this article, first we consider a construction project and then, with experts' opinions and a brain storm meeting, we identified the risks involved, then, according to experts, we determined the strategy for each risk. Finally, we have used an optimal model for choosing risk response strategies with respect to the risks’ interdependence. The main finding through the analysis of the project is that the low attention or neglect of the interdependence of risk, reduces the expected utility and increases the implementation
