Volume 29, Issue 2 (IJIEPR 2018)  

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XML Improvement of operating room performance using a multi-objective mathematical model and data envelopment analysis: A case study
P. 117-132
Mojtaba Hamid , Mahdi Hamid , Mohammad Mahdi Nasiri * , Mahdi Ebrahimnia
Abstract (411 Views)   |   چکیده  |   Full-Text (PDF) (292 Downloads)     |   Highlights
Highlights
  • Developing an integrated model to plan and schedule surgeries and surgeons simultaneously.
  • Considering legal constraints and job qualification of surgeons, and priority of patients.
  • Considering the availability of post-anesthesia recovery beds, surgeons, and operating rooms.
  • Using data envelopment analysis to select the best solution among the Pareto solutions.
  • Applying the proposed approach to a real case study.


XML Studying Risk Effect in Evaluating the Financing Methods of New Technology-Based Firms
P. 133-146
Arezoo Jahani , Parastoo Mohammadi * , Hamid Mashreghi
Abstract (176 Views)   |   چکیده  |   Full-Text (PDF) (38 Downloads)     |   Highlights
- Examining the suitable financing methods with considering risk for New Technology Based Firms (NTBFs)
- Using risk adjusted net present value for knowledge-based projects.
- Presenting partnership scenario for financing NTBFs.


XML A Selective Covering-Inventory- Routing problem to the location of bloodmobile to supply stochastic demand of blood
P. 147-158
Mahdi Bashiri * , Elaheh Ghasemi
Abstract (449 Views)   |   چکیده  |   Full-Text (PDF) (120 Downloads)     |   Highlights
Highlights
  • Integrating covering routing, selective routing and inventory routing problem in bloodmobile routing problem.
  • Considering the inventory management rules of Iranian Blood Transfusion Organization in the bloodmobile routing problem.
  • Presenting a scenario based two-stage stochastic programming for proposed model.


XML A Mathematical Programming for a Special Case of 2E-LRP in Cash-In-Transit Sector Having Rich Variants
P. 159-174
Alireza Falahh-tafti , Mohammad Ali Vahdat Zad *
Abstract (176 Views)   |   چکیده  |   Full-Text (PDF) (72 Downloads)     |   Highlights
Highlights
  • Propose a special case of 2E-LRP in cash-in-transit sector combining multiple real-life variants such as multi-echelon, multi-period, capacitated vehicles and distribution centers, different time windows and different conflict objective functions to tackle realistic problems. Then, a mathematical mixed-integer linear programming for this rich LRP is formulated. To the best of our knowledge, this is the first mandatory step to apply the model in real-life problems and, on the other hand, a model with just few constraints even with the best solution approaches cannot be applicable in real-world problems.
  • Exploit a solution approach for optimizing the multi-objective mixed integer linear problem with large integer coefficients in order to find the location and number of intermediate facilities among candidate ones, the number of vehicles in each type and in each echelon, the amount of commodities received from the Central Bank and delivered to open logistics center and bank branches/ATMs.


XML Machine Reliability in a Dynamic Cellular Manufacturing System: A Comprehensive Approach to a Cell Layout Problem
P. 175-196
Amir-Mohammad Golmohammadi , Mahboobeh Honarvar , Hasan Hosseini-Nasab , Reza Tavakkoli-MOghaddam *
Abstract (441 Views)   |   چکیده  |   Full-Text (PDF) (196 Downloads)     |   Highlights
  • Considering simultaneous dynamic cell formation and cell layouts in continuous space.
  • Considering the machine reliability with an exponential distribution time between failures.
  • Considering the actual location of machines and cells regarding dimensions of facilities.
  • Minimizing the number of exceptional elements, the total cost of parts relocations and cell reconfigurations.
  • Proposing the GA and PSO to solve the given problem.
  • Comparing the results obtained by the proposed meta-heuristics with those of GAMS.


XML Integrated Air Transportation and Production Scheduling Problem with Fuzzy Consideration
P. 197-211
Amir Mohammad Fathollahi Fard , Mostafa Hajiaghaei-Keshteli *
Abstract (143 Views)   |   چکیده  |   Full-Text (PDF) (41 Downloads)     |   Highlights
Highlights:
  • Proposing a mathematical model for an integrated air transportation and production scheduling problem under fuzzy considerations;
  • Introducing two recent metaheuristics called Keshtel Algorithm (KA) and Virus Colony Search (VCS);
  • Confirming the performance of KA and efficiency of proposed model through a set of analyses


XML Developing a method for reliability allocation of series-parallel systems by considering common cause failure
P. 213-230
Mahdi Karbasian * , Maryam Mohammadi , Mohammad Mortazavi
Abstract (211 Views)   |   چکیده  |   Full-Text (PDF) (103 Downloads)     |   Highlights
  • A method for reliability allocation of series-parallel system was investigated by taking into consideration the priorities and real potential of reliability improvement.
  • Reliability allocation of redundant systems was investigated by taking CCF into consideration.
  • Using the proposed method, the improved failure rate for CCF was determined.
  • The proposed method can be beneficial for system designers in conceptual design processes in order to ensure the achievement of goal reliability in practical fashion
  • The proposed method was run for a water pumping system, and some strategies were proposed to reduce CCF occurrence rate.


XML Project Time and Cost Forecasting using Monte Carlo simulation and Artificial Neural Networks
P. 231-239
Mahdieh Akhbari *
Abstract (208 Views)   |   چکیده  |   Full-Text (PDF) (45 Downloads)     |   Highlights
Highlights:
  • Proposing a method to predict the time and cost at completion of the project under uncertainty.
  • Assuming the time and cost of the project activities are randomly determined by a statistical distribution.
  • Using Earned Value Management (EVM) indicators to project monitoring and control.
  • Using Monte Carlo simulation to generate the “universe” of possible projects.
  • Applying Artificial neural network (ANN) To predict cost and duration of the project.


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