perfomance management
Esmaeil Keshavarz; abbas shoul; Ali Fallah Tafti
Abstract
Data Envelopment Analysis (DEA) is an approach based on mathematical programming for the relative evaluation of decision-making units treated as similar yet distinct production systems. In this approach, the performance of each unit is characterized by describing the transformation of specific inputs ...
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Data Envelopment Analysis (DEA) is an approach based on mathematical programming for the relative evaluation of decision-making units treated as similar yet distinct production systems. In this approach, the performance of each unit is characterized by describing the transformation of specific inputs into specific outputs. Traditional DEA models assume that the role of each performance factor is clearly defined. However, in some real-world problems, certain factors might be identified as dual-role factors depending on the evaluation nature or the decision-makers' perspective. These factors can play the role of both input and output, or even be considered neutral in assessing the units' performance. In the current paper, to determine the status of dual-role factors and calculate the efficiency of DMUs, two new linear programming models, based on the concept of deviation in the efficiency constraint and a common set of weights, are suggested. The main advantages of the proposed models are significantly reducing the computations and iterations required to solve the model, and involving all DMUs to determine the role of factors. To assess the performance of the proposed models, a data set for the evaluation of eighteen suppliers in the presence of two inputs, three outputs, and two dual-role factors has been employed. The obtained results showed that, compared to other models, the proposed models are computationally more efficient, and the role determination and evaluation of the units, based on the obtained weights from these models, are better aligned with the expectations of decision-makers
safety,risk and reliability
Reza Masoudi; Mohammad Reza Zahedy; Morteza piri
Abstract
This study aims to enhance the performance of maintenance teams by proposing a mathematical programming model for team formation, focusing on the maximization of knowledge sharing. In this model, key factors influencing knowledge sharing — including knowledge absorptive capacity, knowledge-sharing ...
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This study aims to enhance the performance of maintenance teams by proposing a mathematical programming model for team formation, focusing on the maximization of knowledge sharing. In this model, key factors influencing knowledge sharing — including knowledge absorptive capacity, knowledge-sharing capability, willingness to share knowledge, and motivation to acquire knowledge — along with the required expertise for maintenance activities, are identified and incorporated into the optimization process. The data used to develop the model were collected through performance evaluation questionnaires and expert interviews. The implementation of the proposed model in an organization with extensive physical assets demonstrates that optimizing team formation leads to significant improvements in maintenance key performance indicators. The findings of this study indicate that knowledge sharing not only improves individual and team skills but also plays a key role in improving the performance of maintenance teams. The proposed model can be used as an efficient decision-making tool for maintenance.IntroductionIn today's competitive environment, organizations are constantly exploring innovative approaches to enhance their productivity and performance. One of the key areas that plays a critical role in achieving this goal is industrial maintenance. Effective performance in this domain can have a direct impact on reducing costs, extending the lifespan of equipment, and improving organizational reliability (Okirie, 2024). Consequently, the use of innovative approaches for more efficient management of maintenance activities has gained significant importance.One of the main challenges in maintenance management is the formation of optimal work teams that can efficiently carry out their assigned tasks. Teams composed of knowledgeable and skilled individuals not only enhance the quality of task execution but can also foster problem-solving and innovation through collaborative knowledge sharing (Alharbi & Aloud, 2024). This is particularly crucial in asset-intensive industries.The process of team formation can vary depending on factors such as individual characteristics, task types, and organizational context. One of the key elements in effectively guiding team formation is the willingness and ability of members to share knowledge (Stavrou et al., 2023). Knowledge sharing among team members facilitates the transfer of experiences and critical information, which improves skills and helps prevent the repetition of past mistakes. This process transforms tacit knowledge into collective assets and supports informed decision-making. Institutionalizing a culture of knowledge sharing not only enhances collaboration and innovation but also increases organizational resilience to environmental changes, thereby laying the foundation for sustainability and competitive advantage (Hamill, 2025).However, many organizations face challenges in identifying and leveraging their organizational knowledge capacities (Zamiri & Esmaeili, 2024). This study presents a model for forming optimal maintenance work teams with the goal of maximizing knowledge sharing. While maintenance tasks are often performed based solely on job roles, with less emphasis on team formation according to the specific issue at hand, this research integrates knowledge management concepts with optimization principles to offer an operational and quantitative model for improving the performance of technical maintenance teams.In this regard, the factors affecting knowledge sharing and the required expertise for performing maintenance activities have been identified using data collected from performance evaluation questionnaires and expert interviews. The identification process utilizes the Motivation-Opportunity-Ability (MOA) framework as its theoretical foundation, enabling a deeper analysis of the factors influencing knowledge sharing within work teams. The questionnaires designed based on this model assess team members' motivation to share knowledge, their technical and communication capabilities, and the existing opportunities for knowledge sharing. This information helps managers identify team strengths and weaknesses and adopt a data-driven approach to decision-making.The proposed model in this study employs mathematical programming. The implementation of this model in an organization has shown that forming optimal work teams leads to significant improvements in key performance indicators, such as average repair time and equipment availability (Rahman et al., 2022). The findings of this research highlight that knowledge sharing can serve as a fundamental driver for enhancing the performance of maintenance teams. This study represents an important step in redefining the role of team formation in the efficiency of maintenance processes.MethodsThis study adopts a quantitative approach to optimize the formation of maintenance teams. In the first phase, a nonlinear integer programming model is developed to maximize knowledge sharing among team members while considering the assumptions and constraints relevant to equipment maintenance. To evaluate the model's performance, it is applied within an asset-intensive industry. Required data were collected via expert interviews, as well as performance evaluation questionnaires. Following data collection and parameter calculation, an industry-specific mathematical model was formulated. The model was solved using the branch-and-bound method implemented in MATLAB software. As a result, the most suitable maintenance teams for carrying out designated activities were proposed. Finally, the performance of the formed teams was assessed using key indicators such as mean time to repair (MTTR) and equipment availability. This evaluation was conducted over six-month intervals using a Computerized Maintenance Management System (CMMS).Discussion and resultsTo illustrate the proposed model, a case study was conducted for forming maintenance teams for floating equipment. The selected equipment and the corresponding maintenance activities were recommended by industry experts. Based on these recommendations, key indicators — including technical expertise of maintenance personnel and Motivation-Opportunity-Ability parameters — were evaluated using a 360-degree assessment method. This was carried out through questionnaires employing a five-point Likert scale and distributed among individuals (self-assessment), managers (top-down assessment), and peers. Additionally, the required expertise levels for each maintenance task, as well as the opportunities for knowledge sharing and absorption, were identified through expert surveys. The collected data on individuals’ expertise were then normalized based on the maximum level of expertise needed for the maintenance tasks.Finally, to assess the impact of the implemented policies on equipment performance, two key indicators were analyzed: Mean Time Between Failures (MTBF), representing equipment reliability, and Mean Time to Repair (MTTR), reflecting the skill level of maintenance personnel. These indicators were monitored over a six-month period prior to implementation and three subsequent six-month intervals post-implementation. Simultaneous improvement in both indicators suggests that maintenance activities were conducted with greater speed and higher quality.ConclusionThe findings of this study underscore the critical role of knowledge sharing in enhancing the performance of maintenance teams. The proposed optimization model demonstrated that forming optimal work teams can effectively reduce repair time, manage maintenance costs, and improve key performance indicators. Based on these results, several practical measures can be implemented to enhance maintenance performance through effective knowledge sharing and optimal team formation. First, organizations are encouraged to adopt a performance evaluation system grounded in the Motivation–Opportunity–Ability (MOA) framework to better assess and develop individual and team capabilities. In parallel, targeted incentive schemes should be designed to actively promote knowledge sharing among team members. Additionally, establishing structured and interactive platforms within maintenance processes can facilitate communication and collaboration. Strategic investment in training programs aimed at improving both technical and team-based skills is also essential. Finally, ongoing monitoring of team performance and the use of data-driven decision-making can ensure continuous improvement and alignment with organizational goals. Collectively, these actions provide a comprehensive approach to enhancing the efficiency and effectiveness of maintenance operations
Kamran Feizi; Alfred Sarkissian
Volume 2, Issue 4 , March 2004, , Pages 1-16
Abstract
Emerging technologies such as biotheraputics are widely view as the source of new types of competitive advantage. Despite their huge potential gaining advantages from these technologies requires adopting different types of managerial skills and insight than those utilized in the context of incremental ...
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Emerging technologies such as biotheraputics are widely view as the source of new types of competitive advantage. Despite their huge potential gaining advantages from these technologies requires adopting different types of managerial skills and insight than those utilized in the context of incremental improvements. This makes established firms particularly vulnerable to the challenges of these technologies. This paper reviews the findings of selected studies to identify key issues in the development and commercialization of these technologies.
Seyed Mohammad Ali Khatami Firouzabadi
Volume 3, Issue 10 , September 2005, , Pages 1-11
Abstract
Strategic selection problem is a multi-criteria problem which includes conflicting tangible and intangible criteria. In order to select the most appropriate strategic alternative it is necessary to make tradeoffs between these criteria as well as taking into account the resource limitations which may ...
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Strategic selection problem is a multi-criteria problem which includes conflicting tangible and intangible criteria. In order to select the most appropriate strategic alternative it is necessary to make tradeoffs between these criteria as well as taking into account the resource limitations which may exist. Available methods neglect the distance concept which exists between the alternatives weights with regard to a single criterion and its target value. In this paper in addition to applying the Analytical Hierarchy Process (AHP) as a stand-alone methodology an integration of the AHP and Zero One Goal Programming (ZOGP) is proposed. In this integration each single criterion viewed as a constraint in a ZOGP model which enable the model to take into account not only the distances but also to consider the real resource limitation for tangible criteria. In order to justify the methodology, it is applied to selection of Advanced Manufacturing Systems (AMS).
Jamshid Salehi Sadaghiani; Reza Gharaeepour
Volume 3, Issue 9 , June 2005, , Pages 73-91
Abstract
In recent years 360 degree feedback have been in a growing number of leading firms and it has become a tool for assessing manager competencies and providing feedback them about how they are viewed by direct subordinates peers and in order to changing their behaviors. Its popularity is of problems ...
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In recent years 360 degree feedback have been in a growing number of leading firms and it has become a tool for assessing manager competencies and providing feedback them about how they are viewed by direct subordinates peers and in order to changing their behaviors. Its popularity is of problems of traditional assessment systems and advantages of 360 degree feedback. Indeed the 360 degree feedback is designed to enable all the stakeholders in a person’s performance to comment and give feedback: their boss or indirect reports peers and internal or external customers and so on. This empirical research data was collected through specific questionnaire eight competencies including communicating planning organizing controlling leadership decision making & teamwork from four self, boss, direct subordinates and customers. Analyzing data by ANOVA technique shows that there are a significant difference self, boss subordinates and customers perception in managers’ competency assessment. Then assessment results of each source have been grouped by LSD technique: firs group is self-assessment is subordinates and customers assessment and finally third group is assessment.
AbdolMajid AbdolBaghi; Mohammad Reza Dalvi; Mojtaba Reisi
Volume 2, Issue 7 , December 2004, , Pages 83-103
Abstract
Customers are the primary source of profitability in the organizations and hence taking into consideration their wants and needs are required for ensuring business units survival. This will be accomplished through offering of high quality services. 30 percent of total quality weight of Malcolm baldridge ...
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Customers are the primary source of profitability in the organizations and hence taking into consideration their wants and needs are required for ensuring business units survival. This will be accomplished through offering of high quality services. 30 percent of total quality weight of Malcolm baldridge award is dedicated to customer satisfaction.
This paper is the result of an applied research to enhance banking services using QFDs. QFD is a tool to convert customer real needs into product service features. Using a structured method QFD collects the needs of the customers and considering organizational resources and its ability responds to market needs and wants. The main objective is to determine customers views on values that customer expect from the concept of physical quality of the banks branches. The study utilized different methods involving interviews questionnaire and analysis of documents. Using analytic hierarchy process the physical features of the bank has been ranked and suggestions have been proposed to better design and deploy the physical features of the banks. Also responding to expectancies of customers of bank Refah has compared with the competitors, and customers opinions on technical requirements and designing an appropriate design of physical is investigated and presented.
Ali Rabbani; Habib Zare; Foroogh Behnia
Volume 11, Issue 31 , January 2014, , Pages 85-100
Abstract
the requirements for maintenance management have change drastically from the old concept of ‘fix-it-when-broken’ to a more complex approach, which entails adopting a maintenance strategy for a more integrated approach and alignment. This paper presents a Goal Programming (GP) approach to ...
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the requirements for maintenance management have change drastically from the old concept of ‘fix-it-when-broken’ to a more complex approach, which entails adopting a maintenance strategy for a more integrated approach and alignment. This paper presents a Goal Programming (GP) approach to define the best strategies for the maintenance of some criticalpumps in a paper industry. For each pump failure mode, the model allows to take into account the maintenance policy burden in terms of inspection or repair and in terms of the manpower involved, linking them to efficiency-risk aspects quantified as in FMEA methodology through the use of the classic parameters occurrence (O), severity (S) and detectability (D), evaluated through an adequate application of the Analytic network process. (ANP) technique. An extended presentation of the data and results of the case analysed is proposed in order to show the characteristics and performance of this approach. The result is in the situation studied predictive and preventive maintenance obtain the best compromise between resource usage and reduction of failure effects. This fact is non-surprising since these policy allows failure prediction, thus providing the maintenance manager with useful information to limit the negative failure aspects.
Seyyed Mahmoud Zanjirchi; Majid Nedjatiyan Ghasemiyeh; Mohsen Taheri Demneh
Volume 8, Issue 21 , June 2011, , Pages 85-106
Abstract
In today's business world, agility is considered as one of the most important characteristics in competitive industries. Hence, this study presents a new approach toward promoting organizational agility in companies and institutions. The proposed approach is based on the Quality Function Deployment (QFD) ...
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In today's business world, agility is considered as one of the most important characteristics in competitive industries. Hence, this study presents a new approach toward promoting organizational agility in companies and institutions. The proposed approach is based on the Quality Function Deployment (QFD) technique, and, is accomplished by constructing two House of Quality (HOQ) Sequentially. As the first step, the most important competitive bases related to desired industry, should be identified.
The second step is allocated to identify and strengthen those agile attributes which are needed for the company in order to achieve the competitive bases. Finally, as the third Step, proper agile enablers that are suitable tools to achieve the mentioned agile attributes, identified and being exploited.
As a result, the organization can attain market competitive bases relying on a set of appropriate agile enablers related to its specialized field of activity.
In this paper, the whole scaffold exploits fuzzy logic to translate linguistics judgements of experts into numerical values.
Eventually, an illustrative example, grounded on data available in literature, is presented and discussed to investigate the proposed approach analytically.
Davood Hoseinpour; Khatere Hajinouri
Volume 9, Issue 24 , March 2012, , Pages 85-114
Abstract
The grant allocation section was one of the subjects that have confronted problems and challenges. Universities and higher education head office as education problems administrators’ encounter. Programs related to grant allocation more than other organizations that is because of the demand ever-increasing ...
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The grant allocation section was one of the subjects that have confronted problems and challenges. Universities and higher education head office as education problems administrators’ encounter. Programs related to grant allocation more than other organizations that is because of the demand ever-increasing for education, ambiguity, diversity of opinions in research priorities, and not being clearly specified in outcomes. So identification of appropriate criteria for grant Hopfield allocation and attempt on theirs optimum allocation by using intelligent systems like artificial neural networks have been necessary that these networks successes in quality improvement in financial decisions. In this research, at first, by grant Hopfild allocation regulation of ministry of since & Allameh tabatabae’i & Tehran & Shahid Beheshti & Amir Kabir universities, those allocation criteria which are confirmed in those universities were appointed. Then, allocation criteria which are appointed from the viewpoint on the assistant in research become identified through completion questionnaires by them. Finally, in order to designing the method of grant Hopfield allocation, patterned outcome criteria enter in MATLAB software and the appropriate pattern obtained through Hopfield network.
maghsoud amiri; laya olfat; amir hasanzadeh
Volume 11, Issue 29 , July 2013, , Pages 89-112
Abstract
A major cause of supply chain deficiencies is the bullwhip effect. This phenomenon refers to demand variability increases as one move up the supply chain. Supply chain managers experience this variance amplification in both inventory levels and orders. Other side, dampening variability in orders may ...
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A major cause of supply chain deficiencies is the bullwhip effect. This phenomenon refers to demand variability increases as one move up the supply chain. Supply chain managers experience this variance amplification in both inventory levels and orders. Other side, dampening variability in orders may have a negative impact on customer service due to increase in inventory variance. The contribution of this paper is the estimation of the bullwhip effect and stock functions with using of response surface method under causes of the bullwhip effect in a three stage supply chains consisting of a single retailer, single wholesaler and single manufacturer with both centralized and un-centralized chains and show that with Considering the importance of the bullwhip effect reasons and interactions between them, the percent of optimal reasons and interactions between them and the level of desirability of bullwhip effect and net Stock will be illustrated by a model
Jafar Rezaei; Negin Salimi
Volume 2, Issue 6 , September 2004, , Pages 89-106
Abstract
Attitude has been the focal point of studies for social psychologists for many years. A proper understanding of this concept can be helpful in many fields such as management and communication. One's attitude toward different issues stems from his relation ...
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Attitude has been the focal point of studies for social psychologists for many years. A proper understanding of this concept can be helpful in many fields such as management and communication. One's attitude toward different issues stems from his relation with the issues. Thus, one's attitude towards himself is deeply rooted in his relationship with himself. Starting a new relationship brings about complexities to the process of the relationship. Negative attitude towards oneself and others causes serious problems in various organizations. On the other hand, positive attitude seems to be beneficial to the improvement of the organizational relationships. The object of this study is to elaborate the concept of the attitude as well as test the following hypothesis: "there is a significant relationship between one's attitude towards himself and towards the others ".The results confirm the hypothesis.
Jamshid Salehi Sadaghiani; Seyed Amir Reza Abtahi
Volume 4, Issue 13 , June 2006, , Pages 89-122
Abstract
The purpose of this article is about soft computing and its different methods for modeling phenomena. Soft Computing refers to the evolving collection of methodologies used to build intelligent systems exhibiting human-like reasoning and capable of tackling uncertainty.
In this paper, we describe the ...
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The purpose of this article is about soft computing and its different methods for modeling phenomena. Soft Computing refers to the evolving collection of methodologies used to build intelligent systems exhibiting human-like reasoning and capable of tackling uncertainty.
In this paper, we describe the neural networks approach in soft computing at first. Then, other approaches such as genetic algorithm and machine learning will be described. Since the main goal of building the model is knowledge extraction, finally, we will describe the various methods of knowledge and rule extraction from neural networks.
R. Baradaran Kazemzadeh; S. H. Tabatabaeian; Majid Hasani Parsa
Volume 2, Issue 5 , June 2004, , Pages 91-125
Abstract
TNA (Technology Needs Assessment), STIP (Scope, Technology, Impact, Policy) & MSTP (Market Stimulating Technology Policy) are three tools and frameworks that can used as policy making model in industry & technology.
In this ...
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TNA (Technology Needs Assessment), STIP (Scope, Technology, Impact, Policy) & MSTP (Market Stimulating Technology Policy) are three tools and frameworks that can used as policy making model in industry & technology.
In this paper we first introduce explain & study them and then we try to present a general model and framework of industrial policy making with attention to pros and cones of the three models above general points of policy making experiences of some successful countries in development of electronics industries and general condition and current situation of electronics industries in Iran.
Finally we design a questionnaire that has been filled in by some specialists to be sure about the accuracy of the proposed model.
Saeed Yaghobi; Mehdi Kamvar
Abstract
There are issues such as limitation of blood resources, perishability, special preservation conditions of blood products and high wastage and shortage costs of blood products, make management of blood products consumption as one of the most complex issues in healthcare systems. This paper proposes a ...
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There are issues such as limitation of blood resources, perishability, special preservation conditions of blood products and high wastage and shortage costs of blood products, make management of blood products consumption as one of the most complex issues in healthcare systems. This paper proposes a linear mathematical model to optimize consumption of the blood products in hospitals. In the proposed model, in addition to distribution of blood products between hospitals by blood center, possibility of lateral transshipments between hospitals considered as a strategy to deal with demand uncertainty. Furthermore, factor of blood freshness and the need of some surgeries for fresh blood considered in this model as real conditions. Finally, to validate the proposed model, a case related to one blood center and eight hospitals in Tehran city presented and its results discussed
Mohammad Hosein Arman; Jamshid Salehi Sadaghiyani; Sara Mojdehi; Ali Nazarli
Volume 10, Issue 27 , January 2012, , Pages 94-117
Abstract
The Analytic Hierarchical Process (AHP) determines the relativeimportance of a set of alternatives in a multi-criteria decision problem.AHP has a hierarchial structure and based on pairwise comparisons ofthe project alternatives as well as pairwise comparisons of the multicriteria. Two separate algorithms ...
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The Analytic Hierarchical Process (AHP) determines the relativeimportance of a set of alternatives in a multi-criteria decision problem.AHP has a hierarchial structure and based on pairwise comparisons ofthe project alternatives as well as pairwise comparisons of the multicriteria. Two separate algorithms have been presented for measuringthe inconsistency ratioes of pairwise comparisons matrix andhierarchical structure. In this paper these algorithms and one of theapproximation methods, have been extended for measuring theinconsistency ratioes and alternatives’ weights in fuzzy AHP. Anumerical example is used to illustrate these methods.
Payam Hanafizedeh; Hamid Reza Rasekh; Mohamad Hosein Mirsalehian
Volume 10, Issue 26 , January 2012, , Pages 95-122
Abstract
Up to now, many efforts have been done for creation of an enterpriseperformance measurement model by researchers and organization,nevertheless the problem is neglected performance value. Theperformance of functional and processes should be seen in organizationat the same time. In this study retrospective ...
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Up to now, many efforts have been done for creation of an enterpriseperformance measurement model by researchers and organization,nevertheless the problem is neglected performance value. Theperformance of functional and processes should be seen in organizationat the same time. In this study retrospective research of performance wasdone and proposes a cross process/function oriented performancesmeasurement model. This model able to measure both values fromfunctional and processes performance in organization.In order to accomplish this, in the first step all process and functions inpharmaceutical industry were established according to literature review.The second step was field study with help of experts to find the mosteffective processes and functions. This is followed by define key factorsand critical success factor with respect to every process or function frompast researches.
E. Asghari Zadeh; K. Sakhdari
Volume 3, Issue 8 , March 2005, , Pages 95-109
Ali Mohtashami*
Volume 12, Issue 33 , July 2015, , Pages 97-124
Abstract
This paper presents a multi-objective mathematical model for redundancy allocation in production systems. In many of the production and assembly lines, process times, time between failures and repaired times are generally distributed. The proposed method of this paper is able to consider time dependent ...
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This paper presents a multi-objective mathematical model for redundancy allocation in production systems. In many of the production and assembly lines, process times, time between failures and repaired times are generally distributed. The proposed method of this paper is able to consider time dependent parameters as general distribution functions by using the hybrid approach of simulation and response surface methodology. The objectives of the mathematical model are maximizing production rate, minimizing total cost and maximizing quality. In order to solve the proposed mathematical model, non-dominated sorting genetic algorithm and multiple objective particle swarm optimization are used. Numerical results indicate the effectiveness of both algorithms for generating non-dominated solutions. Moreover, comparative results indicate the superiority of the Non-dominated sorting genetic algorithm.
Mahmoud Jafarpoor; Mohamad Mehdi Bahramzadeh
Volume 8, Issue 19 , December 2010, , Pages 97-123
Abstract
Progress towards supporting small and medium organizations, with regards to their effective role in the economy, can lead to positive results for economical-social area. To involve such organizations with (B2B) e-commerce will make the matter more significant. In this survey, the involvement of small ...
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Progress towards supporting small and medium organizations, with regards to their effective role in the economy, can lead to positive results for economical-social area. To involve such organizations with (B2B) e-commerce will make the matter more significant. In this survey, the involvement of small and medium oil, gas and petrochemical companies with B2B e-commerce was studied by adopting a conceptual model on the technology acceptance model. Thus, three dimensions, information and communications infrastructures, specifications related to the industry and the capabilities of human power associated with two structures of perceived productivity and utilization case, with indices defined in the form of 3 main hypotheses and 6 minor hypotheses were tested. The results both confirmed all nine discussed hypotheses and indicated that there is the strongest relation between B2B e-commerce settlement and ICT infrastructures dimension. At the same time, investment in ICT infrastructures and equipment and supporting services were identified as the most significant indexes and sufficient human power and suitable price were recognized as the most insignificant indices to involve small and medium companies with B2B e-commerce.
Seddigheh Khorshid
Volume 9, Issue 23 , December 2011, , Pages 97-129
Abstract
The manufacturing organizations of information and communication era are facing numerous challenges, including the challenges of demanding customers seeking high quality, low cost products, responsive to their specific and rapidly changing needs. They are seeking manufacturing new models and systems ...
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The manufacturing organizations of information and communication era are facing numerous challenges, including the challenges of demanding customers seeking high quality, low cost products, responsive to their specific and rapidly changing needs. They are seeking manufacturing new models and systems in order to overcome them. Manufacturing agility paradigm has been offered manufacturing organizations' managers as a solution for coping these challenges. In this article, I offer a fuzzy model to build agile of manufacture. This model will be helped manufacturing organizations' managers: a. to find organizations' competitive priorities. b. To know their own organization's manufacturing agility capabilities. c. To know their own organization's manufacturing agility enablers. d. To focus and capitalize on the most important of their own organization's manufacturing agility enablers in order to improve their own organization's manufacturing agility capabilities, and as a result, to achieve their own organization's competitive priorities. The results of implementing model in the firms of Khozestan Steel Industry indicate, that each firm can select and implement the set of agility enablers with focusing on its competitive priorities through developing and improving the set of agility capabilities.
Parviz Fattahi; Malihe Masomi; Javad Behnamian
Abstract
Location-Routing problem with Cross-docking is as a New Research Area for Distribution Networks in The supply chains. The purpose of this paper is to simultaneously design a location for cross-docking center and routing vehicles due to the system cost minimization which, is known as an NP-hard problem. ...
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Location-Routing problem with Cross-docking is as a New Research Area for Distribution Networks in The supply chains. The purpose of this paper is to simultaneously design a location for cross-docking center and routing vehicles due to the system cost minimization which, is known as an NP-hard problem. This paper presents a two-stage mixed-integer programming (MIP) model for the location-routing multi-commodity problem with cross-docking due to potential applications in the distribution networks. The principal innovation of this paper includes multiple commodities and its solution method as a hybrid algorithm based on the artificial immune system (AIS) and artificial fish swarm (AFS) algorithms. Also, assumptions are given in the proposed model that distinguishes it from the models are presented in this area. Finally, to evaluate the efficiency of the proposed algorithm small and large-scale test problems are randomly generated and the proposed MIP model solved by artificial immune system (AIS) and artificial fish swarm (AFS) and a sample algorithm and then compared with each other. The computational results for different problems show that the proposed hybrid algorithm performs well and converges fast to reasonable solutions
Naghmeh alvandi; Rahmat Mirzaei; Mohammad jafar tarokh
Volume 11, Issue 30 , October 2014, , Pages 98-128
Abstract
In this study, first by study different sources, effective factors of successfulimplementation of knowledge management systems have been identified.Then, by means of statistical analysis and SPSS software status ofeach factor in the Tamin Company was evaluated in order to determineis the company ready ...
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In this study, first by study different sources, effective factors of successfulimplementation of knowledge management systems have been identified.Then, by means of statistical analysis and SPSS software status ofeach factor in the Tamin Company was evaluated in order to determineis the company ready to implement this system, or not. The results showthat company is not ready to implement this system so it is necessary forthe company to improve its situation before implementing such system.Among those factors, culture, information and communication technology,have respectively the highest and lowest priorities to make correction.
seyed abdollah razavi; mohammad Javad razmi; mostafa salimi far; ali akbar naji
Volume 11, Issue 28 , April 2013, , Pages 99-118
Abstract
This paper uses a panel data stochastic production frontier model to measure economic efficiency of car production industry in Iran. We estimated both time-variant and time-invariant efficiency random effect models. The result shows that economic efficiency in this industry varies overtime between 96.4 ...
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This paper uses a panel data stochastic production frontier model to measure economic efficiency of car production industry in Iran. We estimated both time-variant and time-invariant efficiency random effect models. The result shows that economic efficiency in this industry varies overtime between 96.4 to 97.3 percent. The results also show that industry is increasing return to scale
Nafiseh Aghabozorgi; Seyed Mojtaba Sajadi; Mahdi Alinaghian
Volume 13, Issue 38 , October 2015, , Pages 99-132
Abstract
Today, field of production and service is faced with competition among the supply chains by changing the competition pattern of the independent companies. Most of the small and medium businesses (SMEs) still use traditional viewpoint for supply, production and distribution planning. It means, each of ...
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Today, field of production and service is faced with competition among the supply chains by changing the competition pattern of the independent companies. Most of the small and medium businesses (SMEs) still use traditional viewpoint for supply, production and distribution planning. It means, each of these SMEs plan their tasks independently, this will increase the total cost of the supply chain in many cases. In this study, a robust model of inventory-locating supply chain is proposed in three-level with uncertain demand. The model has been considered in single-period, multi-product state along with some transportation models with three levels of producers – distributors- retailers in certain and robust mode. Considering some transportation models along with robusting the model and the possibility of sending goods directly from the factory to the retailer is one of the innovations of this study. The objectives of the proposed model are to minimize the total cost of the three-leveled supply chain and to find the amount of safety stock. The certain model is solved by GAMS and the robust model is also solved by GAMS in single-objective mode and then transferred to the augmented ε-constraint method. The results have been discussed after solving the model.
Alireza Amirkabiri; Samad Fathi
Volume 6, Issue 16 , June 2007, , Pages 99-124
Abstract
The importance of education in advancement and development of information technology and communication technology has been stabilized as preparation for multilateral development of all countries. Development of these sciences can be regarded as basis for entrepreneurship in all fields. Development and ...
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The importance of education in advancement and development of information technology and communication technology has been stabilized as preparation for multilateral development of all countries. Development of these sciences can be regarded as basis for entrepreneurship in all fields. Development and growth of culture of entrepreneurship in working process of active institutes in the field of information technology and communication technology via empowering the employees is very important. In this research with studying the aspects of psychological empowerment the effects of these aspects on inter-organizational entrepreneurship process in Tehran Information Technology Complex have been studied. The total number of managers and employees of different organizational levels which equals to 145 people has been selected as sample society, which the results show that there is high level of correlation between the aspects of psychological empowerment and organizational entrepreneurship. Also the results show that among 5 aspects of psychological empowerment, having the feeling of competence has got the most effect on organizational entrepreneurship process. The results of present research can be used for preparing suitable strategies of human resource in relation to employees that have share in organizational entrepreneurship process and pave the way for a new path for university studying and operational experiences in the field of empowerment of employees, creativity & innovation.
