Impact Factor :
1.025
Q1(Year 2015)
ISSN : 1026-3098
e-ISSN : 2345-3605
Published Issues
Solving a discrete congested multi-objective location problem by hybrid simulated annealing with customer’s perspective
2016
Abstract :
Inthe current competitive market, obtaining a greater share of the market requires consideration of the customers’ preferences and meticulous demands. Thisstudy addresses this issue with a queuing modelthat uses multi-objective set covering constraints. It considers facilities as potential locations with the objective of covering all customers with a minimum number of facilities. Themodel is designed based on the assumption that customers can meet their needs from a singlefacility. It also considers three objective functions, namely minimizing the total number of the assigned server, minimizing the total transportation and facility deploymentcostsand maximizing the quality of service from the customers’ point of view. The main constraintis that every center shouldhave less than b numbers of people in line with a probability of at least α, upon the arrival of a new customer.The feasibility of the approach is demonstrated by several examples which aredesigned and optimized byaproposed hybrid simulated annealing (SA)algorithm to evaluate the model’svalidity. Finally, the study compares the performance of the proposed algorithm with that of variable neighborhood search (VNS)algorithm and concludes that it can arrive at an optimal solution in much less time than the VNS algorithm.
Keywords :
Location-allocation, Queuing, Modeling, Optimization, VNS, SA, Multi-objective
( 592 Visit ) ( 79 Download )

A Quality Improvement Method for Building Materials Equipment Based on Quality Gene
2016
Abstract :
Good quality and lower manufacturing cost are the two main factors for the enterprises to increase their core competitiveness.In order to reduce the manufacturing cost and promote the quality of product, we propose a quality improvement (QI) method based on product quality gene evolution for the building materials equipment. First, we present the product quality improvement connotation based on quality gene. Second, the product quality gene evolution method based on genetic algorithm is adopted to achieve the product quality improvement. Finally, we use the tube mill cylinder as an example to illustrate the proposed algorithm process. Experimental results have shown that the proposed approach is able to support quality improvement
Keywords :
quality gene; quality improvement; genetic algorithm; quality gene evolution
( 238 Visit ) ( 11 Download )

An extended fuzzy VIKOR for group decision making based on fuzzy distance to supplier selection
2016
Abstract :
Supplier selection problem (SSP) has become critical objectives of purchasing departments because of its significant effect toward successful logistic and supply chain management (SCM).In real life situations, SSP parameters are often imprecise, vague, uncertain or incomplete. In this respect, fuzzy set theory is the best-developed approach to formulate these uncertainties. In this paper, we have extended fuzzy VIKOR using an efficient fuzzy distance measure to solve applicable SSP under group decision making process. In our study, an efficient fuzzy VIKOR for solving SSP under group decision making process is presented in which decision makers have different weights in decision making process and its opinions are collected in the form of linguistic variables. In our methodology, preference ratio method is applied to rank the alternatives. Ultimately, several numerical illustrations and sensitivity analyses are performed to demonstrate the applicability of the proposed method.
Keywords :
Supplier Selection, MADM, fuzzy VIKOR, Fuzzy Distance, group decision making
( 523 Visit ) ( 77 Download )

A Hybrid Genetic Algorithm to Maximize Net Present Value of Project Cash Flows in Resource Constrained Project Scheduling Problem with fuzzy parameters
2016
Abstract :
This paper studies a specific resource constrained project scheduling problem under uncertainty. To do so, the problem is investigated in fuzzy environment and the goal is to maximize the net present value of the project cash flows. The problem is first mathematically formulated. Then, a hybrid Genetic Algorithm is proposed and tuned to solve this NP-hard problem. The performance of the proposed algorithm is evaluated with comparing two well-known metaheuristic algorithms through a set of instances. Finally, comprehensive computational results are illustrated and the results are analyzed and discussed.
Keywords :
Discounted Cash Flows; Net present value; Fuzzy sets; Uncertainty; Genetic Algorithms
( 574 Visit ) ( 64 Download )

A framework for performance evaluation of energy supply chain by a compatible Network Data Envelopment Analysis model
2016
Abstract :
Inadequate supply of energy due to consumers’ increasing demand has become one of the major problems in societies. Economic growth is a key reason for the increase in the energy consumption. Although different policies can be employed for resolving this problem, optimizing the efficiency of energy suppliers can be addressed as a key policy in this regard.  This paper presents an adjusted Network Data Envelopment Analysis (NDEA) model for evaluating performance of energy supply chain in Iran from production to distribution stages. Some suggestions are proposed to optimize the performance of the energy supply chain. The NDEA model is adjusted by using assurance region (AR) to achieve more real and scientific results. Borders of the assurance region obtained fromData Envelopment Analytic Hierarchy Process (DEAHP) method are entered into the NDEA model. The results obtained from this model are compared with those of conventional NDEA and technical efficiency in pairs. Finally, the Spearman and Kendall's-Tau correlation tests are used for validating the results.
Keywords :
Network Data Envelopment Analysis (NDEA); Assurance Region (AR); Data Envelopment Analytic Hierarchy Process(DEAHP); Energy Supply Chain; Technical Efficiency
( 639 Visit ) ( 79 Download )

Managing interval-valued multiplicative hesitant fuzzy information in GDM problems
2016
Abstract :
Inspired by the idea of multiplicative preference relation as well as interval-valued hesitant fuzzy set, we introduce a new preference relation called interval-valued multiplicative hesitant fuzzy preference structure. It is a powerful technique to describe the preference information assessed by different appraise subjective. The predominant feature of it was allows decision makers to use the interval-valued hesitant fuzzy information in describing the preference structure. We focus on the information aggregation methods for interval-valued multiplicative hesitant fuzzy preference information and proposed a series of useful aggregation operators. Moreover, we propose a group decision making (GDM) method based on proposed aggregation operators under interval-valued multiplicative hesitant fuzzy environment. Real case about college application problem is presented to show the useful and effectiveness of our proposed method. 
Keywords :
Hesitant fuzzy set; interval-valued multiplicative hesitant fuzzy set; aggregation operator; GDM; college application
( 567 Visit ) ( 41 Download )

A new distance-based decision model in interval-valued hesitant fuzzy setting for industrial selection problems
2016
Abstract :
In classical group decision-making (GDM) analysis, ratings of potential alternatives and weights of criteria or decision makers (DMs) are known precisely. However, DMs for dealing with uncertain situations can define their opinions in linguistic variables based on fuzzy sets in industrial selection problems. In this respect, an interval-valued hesitant fuzzy set (IVHFS) is the suitable and capable theory that could help the DMs by assigning some interval-valued membership degrees for a candidate or option under a set. This paper introduces a novel interval-valued hesitant fuzzy distance-based group decision (IVHF-DBGD) model by a group of DMs, in which the best potential alternative can be appraised and selected among the conflicting criteria. In the proposed IVHF-DBGD model, the weight of each criterion is determined by extended IVHF-entropy method along with the DMs’ opinions about the criteria’ weights. Also, the weight of each DM is computed by a new IVHF-order preference method with the relative closeness. Moreover, this paper introduces a new IVHF-collective index to discriminate among potential alternatives in the selection process. Finally, the computational results with a robot selection from the literature indicate that the proposed IVHF-DBGD model is the suitable group decision-making tool for industrial selection problems.
Keywords :
Distance-based decision model; Interval-valued hesitant fuzzy sets; Multi-criteria decision making; Group decision making; Industrial robotselection problems.
( 438 Visit ) ( 30 Download )

A Multi-objective Fuzzy Goal Programming P-hub Location and Protection Model with Back-up Hubs Considering Hubs Establishment Fixed Costs
2016
Abstract :
The critical and undeniable role of hubs in telecommunication and networking brings about some precautions to be taken to protect networks against any disruption. In this paper, a multi-objective model in a group of hub location problems, referred to as protection models for survivable network design, is developed. In fact, this model is a hub location problem that aims to maximize the potential flow between the origin and destination node pairs in the network, which has the minimum potential flow among all O-D pairs, including multiple assignment and back-up routes. In addition, it concerns the fixed cost of installation of the hub facilities. A fuzzy goal programming method is applied to solve the model. Different scenarios are implemented using Turkish data set and also numerical experiments are presented to illustrate the advantages of the proposed model in some aspects, compared to previous models. The results can give useful insights into telecommunication network design.
Keywords :
Multi-objective Models; P-hub location; Back-up Hubs; Network Protection Models; Reliability; Survivability; Fuzzy Goal Programming
( 1051 Visit ) ( 91 Download )

A two warehouse inventory model with preservation technology investment and partial backlogging
2016
Abstract :
In today’s global world preservation technology becomes very important due to rapid changes in environment. To study this concept, in this article we have developed the two warehouse inventory model with the consideration of preservation technology investment  Demand rate is treated as linear function of instantaneous stock level. The limited storage area (OW) is used for the storage of the stock. The excess amount of stock than the capacity of the owned warehouse (OW) is stored in the rented warehouse (RW). The holding cost of rented warehouse is greater than the holding cost of owned warehouse (OW) so that stock of rented warehouse (RW) is used first and than the stock of (OW) is consumed. The shortages are allowed and partially backlogged under the effect of inflation. The main aim of this study is to find the optimal vale of total cost function.  Numerical illustrations and sensitivity analysis are given at the end of this article.
Keywords :
Two-warehouse, preservation technology, stock dependent demand, partial backlogging, inflation
( 472 Visit ) ( 47 Download )

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Published Issues
2017
Transactions on Civil Engineering
Transactions on Mechanical Engineering
Transactions on Industrial Engineering
2016
2015
Transactions on Civil Engineering
Transactions on Mechanical Engineering
Transactions on Chemistry and Chemical Engineering
Transactions on Computer Science & Engineering and Electrical Engineering
Transactions on Industrial Engineering
Transactions on Nanotechnology
2014
Transactions on Civil Engineering
Transactions on Mechanical Engineering
Transactions on Chemistry and Chemical Engineering
Transactions on Computer Science & Engineering and Electrical Engineering
Transactions on Industrial Engineering
Transactions on Nanotechnology
2013
Transactions on Civil Engineering
Transactions on Mechanical Engineering
Transactions on Chemistry and Chemical Engineering
Transactions on Computer Science & Engineering and Electrical Engineering
Transactions on Industrial Engineering
Transactions on Nanotechnology

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