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.
Mohammad Hossein Tahmasebi; Kaveh Khalili Damghani; Vahidreza Ghezavati
Abstract
One of the most important problems facing distribution companies is to find the best locations for depots and also proper routes for transportation vehicles in order to optimize their supply network. This study aims to examine the problem of location-routing for post offices in Tehran. To achieve this, ...
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One of the most important problems facing distribution companies is to find the best locations for depots and also proper routes for transportation vehicles in order to optimize their supply network. This study aims to examine the problem of location-routing for post offices in Tehran. To achieve this, a bi-objective location-routing problem is proposed. In order to make the problem more realistic, time constraints are taken into account. A suitable solution procedure on the basis of customized goal programming is developed to solve the proposed model. The proposed model and solution procedure are applied in post offices in Tehran, Iran. The results of proposed model show considerable savings in time and cost of planning in comparison with the current planning in the case. The proposed model can be applied in other cases such as location of garbage bins in city and routing of collecting vehicles. Other significant parameters in urban planning can be considered as uncertainty in this model in the future research. This model can be customized for whole of Iran and therefore, meta-heuristic methods can be used to solve the instances in large scale
Ahmad Jafarnejad; Mehrdad Yasaei
Volume 12, Issue 33 , July 2015, , Pages 75-96
Abstract
Due to the changes in production and market conditions, companies are facing many pressures. One of the ways of confronting with these pressures is the concept of supply chain and increasing its flexibility to satisfy different needs of customers. Despite the importance of supply chain flexibility, lack ...
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Due to the changes in production and market conditions, companies are facing many pressures. One of the ways of confronting with these pressures is the concept of supply chain and increasing its flexibility to satisfy different needs of customers. Despite the importance of supply chain flexibility, lack of appropriate analytical models to explain the relationship between the flexibility in a system and the performance of overall system is still recognized. Therefore, in this study a mathematical model of supply chain flexibility has been presented. This research is applied and of the descriptive research types. This study is done in two phases; dimensions detection and modeling. Identified dimensions in the first phase are labor flexibility, machine flexibility, routing and process flexibility. They are important dimensions for assess each three levels; provide, produce and assemble the entire supply chain. The result of the second phase was the design of a mathematical model for each three levels, separately, but dependent on other levels by objective function. Their limitations are defined by identified dimensions in the first phase. .
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.
Mohamad Hosein Tahari Mehrjardi; Dariush Farid; Hamid Babaei Meybodi
Volume 8, Issue 21 , June 2011, , Pages 21-37
Abstract
Data Envelopment Analysis (DEA) has been a very popular method for measuring and benchmarking relative efficiency of peer Decision Making Units (DMUs) with multiple input and outputs. However, some problems have also appeared as the applications of DEA advance. One of inter-related problems that has ...
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Data Envelopment Analysis (DEA) has been a very popular method for measuring and benchmarking relative efficiency of peer Decision Making Units (DMUs) with multiple input and outputs. However, some problems have also appeared as the applications of DEA advance. One of inter-related problems that has long been known is the lack of discrimination power. The lack of discriminating power problem occurs when the number of DMUs under evaluation is not large enough compared to the total number of inputs-outputs. In this situation, classical DEA models often yield solutions that identify too many DMUs as efficient. In this study the base of the modeling is technique Data Envelopment Analysis But in order to increase accuracy in assessing banks performance and identify the inefficiency and efficiency units, designing a model that combines data envelopment analysis and Goal Programming and also performance of the banks are measured in this perspective. The results of this study showed the higher ability of the presented model toward the basic models to separate the banking units.
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.
Mohammad T. Taghavifard; Majid Gheitasi; Farzad Soltani
Volume 3, Issue 11 , December 2005, , Pages 85-113
Abstract
This research paper presents a methodology to assist enterprise decision-makers CDMs) to select from a numbers of processes during the Business Process Reengineering (BPR) according to organizational objectives. For this ...
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This research paper presents a methodology to assist enterprise decision-makers CDMs) to select from a numbers of processes during the Business Process Reengineering (BPR) according to organizational objectives. For this purpose, the proposed methodology utilizes fuzzy QFD technique to convert the qualitative data (DMs' opinion) to quantitative ones and then calculates the effects of each process on the organization objectives and criteria. Then, by using the result of fuzzy QFD, the amount of satisfaction of each process according to each criterion is calculated. By combining this data with other effective variables in BPR projects such as "cost" and "time", a multi-objective goal programming (MOOP) model is formulated and solved to identify the most appropriate business processes. Finally, an example is presented to illustrate how the methodology works. The proposed model was also applied to a public-service organization by considering three main objectives: project quality, project cost, and project time. The achieved results were quite satisfactory and promising.
