2014
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2
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Efficient Selection of Design Parameters in MultiObjective EconomicStatistical Model of Attribute C Control Chart
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2
Control chart is the most wellknown chart to monitor the number of nonconformities per inspection unit where each sample consists of constant size. Generally, the design of a control chart requires determination of sample size, sampling interval, and control limits width. Optimally selecting these parameters depends on several process parameters, which have been considered from statistical and/or economic aspects in the literature. This study presents a multiobjective economicstatistical design (MOESD) of the C control chart. An algorithm using data envelopment analysis (DEA) is employed to solve this model. A numerical example is used to illustrate the algorithm procedure.
1

357
367


S.
JafarianNamin
Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
Department of Industrial Engineering, South
Iran


A.
Amiri
Industrial Engineering Department, Shahed University, Tehran, Iran
Industrial Engineering Department, Shahed
Iran


E.
Najafi
Industrial Engineering Department, Islamic Azad University, Science and Research Branch, Tehran, Iran
Industrial Engineering Department, Islamic
Iran
C Control Chart
MultiObjective EconomicStatistical Design
DEA
ComplexValued Data Envelopment Analysis
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2
Data Envelopment Analysis (DEA) is a nonparametric approach for measuring the relative efficiency of a decision making units consists of multiple inputs and outputs. In all standard DEA models semi positive real valued measures are assumed, while in some real cases inputs and outputs may take complex valued. The question is related to measuring efficiency in such cases. As far as we are aware, there is not any special formulation replying the complexvalued questions. The formulation developed in this paper enables one to estimate efficiency when the data are complex valued.
1

369
373


M.
Maghbouli
Islmic Azad University Hadishahr Branch.
Islmic Azad University Hadishahr Branch.
Iran


kh.
Ghaziyani
Ayandeghan Institute of Higher Education, Tonekabon, Mazandaran.
Ayandeghan Institute of Higher Education,
Iran


M.
Zoriehhabib
Islamic Azad UniversitySoofiyan Branch.
Islamic Azad UniversitySoofiyan Branch.
Iran
Data Envelopment AnalysisEfficiencyComplex valued
An Algorithm for Resource Allocation through the Classification of DMUs
2
2
Data envelopment analysis (DEA) is a nonparametric method for assessing relative efficiency of decisionmaking units (DMUs). Every single decisionmaker with the use of inputs produces outputs. These decisionmaking units will be defined by the production possibility set. Resource allocation to DMUs is one of the concerns of managers since managers can employ the results of this process to allocate resources in organizations appropriately and sufficiently and as a result achieve the lowest cost and highest level of profit. In this paper we will suggest an algorithm to select such efficient decision making units.
1

375
380


M.
Ahadzadeh Namin
Department of Mathematics, Shahre –Qods Branch, Islamic Azad University, Tehran, Iran.
Department of Mathematics, Shahre –Qods
Iran


N.
Ebrahimkhani Ghazi
Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Department of Mathematics, Science and Research
Iran
DEA
Classification
Resource Allocation
Contextdependent
Hierarchical Analysis Method Application in Prioritization of Power Plant with Renewable Energy in Irancase study
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2
With regard to the importance of scientific decisionmaking in power plants prioritization to produce electrical energy (power) from renewable energies (purified), in this paper, research with specialists opinions with respond to questionnaires provided upon three efficient operational criterion in position of three presented power plant in country which used wind, solar water energies for producing energy, and using group hierarchical analysis multicriteria decisionmaking method (AHP), options prioritization performed Achieved results indicates this fact that among three presented criteria, environmental issues are the most important criteria and standards of maintenance costs and also initial investment cost per Kw/h produced electricity (power), in order of importance, are in second place and one the other hand, among three presented power plant in Iran which used renewable energies (new) for producing power, wind power plant placed in first priority and then solar and electrical power plants water are in the second placed
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381
387


M.
Lajevardi
Islamic Azad University of Najaf Abad, Department of Industrial Engineering, Isfahan ,Iran
Islamic Azad University of Najaf Abad, Department
Iran


S.A.
ZanjaniGhayur
Expert in organizational excellence and efficiency (Productivity), Esfahan regional electricity company, office of Strategic Management and Productivity, Esfahan, Iran.
Expert in organizational excellence and efficiency
Iran
Decision making
Hierarchical Analysis
renewable
power
Detect and Eliminate Congestion of the Intermediate Products in Supply Chain
2
2
Data envelopment analysis (DEA) is a nonparametric technique that includes models to evaluate the relative efficiency of Decision Making Units (DMUs). It has the ability to separate efficient units and inefficient units. One of the applications of this mathematical technique is evaluating performance of supply chain. According to such as the inefficiency factors of one DMU, is existence congestion in its inputs and with regard to the economic concept of congestion that is widely visible in the most phenomenon, therefore, cannot ignore its presence in supply chain. In this paper, at first a network DEA model is noted to evaluate the performance of supply chain. Then according to the important role of intermediate products in supply chain, the existence of congestion in this product is investigated, finally, an Inverse DEA model is introduced in order to overcome the problems caused by congestion. So that the amount required input for providing the desired intermediate product can be estimated by that. In this case, no congestion will occur in intermediate products. Finally for improving the efficiency of this unit with new intermediate products an inverse DEA model is proposed.
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389
395


E.
Mollaeian
Semnan Science and Technology Park, University Blvd., Shahrud, Iran.
Semnan Science and Technology Park, University
Iran


M.
RostamyMalkhalifeh
Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Department of Mathematics, Science and Research
Iran
Data envelopment analysis (DEA)
Inverse DEA
Supply chain
Congestion
Scale Efficiency in DEA and DEAR with Weight Restriction
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2
In data envelopment analyze (DEA) the scale efficiency in the inputoriented CCR model is less than or equal to the scale efficiency in DEA based on the fractional analysis (DEAR). Also, the scale efficiency in case of multiple inputs and one output and vice versa the scale efficiencies are equal in DEA and DEAR. In this paper, first, DEAR model with weight restrictions when there is relative data is recommended. Second, the scale efficiencies in a constant return to scale are compared with each other in DEA and DEAR models. At the end, a numerical example is provided for the proposed models with 27DMUs.
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397
401


M.
Nazari
Department of Applied Mathematics, Science and Research Branch Azad University, Fars, Iran.
Department of Applied Mathematics, Shiraz Branch Azad University, Shiraz, Iran.
Department of Applied Mathematics, Science
Iran


M.R.
Mozaffari
Department of Applied Mathematics, Science and Research Branch Azad University, Fars, Iran.
Department of Applied Mathematics, Shiraz Branch Azad University, Shiraz, Iran.
Department of Applied Mathematics, Science
Iran


J.
Gerami
Department of Applied Mathematics, Science and Research Branch Azad University, Fars, Iran.
Department of Applied Mathematics, Shiraz Branch Azad University, Shiraz, Iran.
Department of Applied Mathematics, Science
Iran
Weight Restrictions
DEA
DEAR