ORIGINAL_ARTICLE
Hypercube queuing models in emergency service systems: A state-of-the-art review
This study provides a review of hypercube queuing models (HQMs) in emergency service systems (ESSs). This survey presents a comprehensive review and taxonomy of models, solutions and applications related to the HQM after Larson [12]. In addition, the structural aspects of HQMs are examined. Important contributions of the existing research are addressed by taking into account multiple factors. In particular, the integration of location decisions with HQMs for designing an ESS is discussed. Finally, a list of issues for future studies are presented.
https://scientiairanica.sharif.edu/article_20141_4305e8a967b39a55c39719482ea97bb7.pdf
2019-04-01
909
931
10.24200/sci.2018.4515.0
Hypercube queuing model
Facility location
Emergency service system
M.
Ghobadi
mrymghbd@gmail.com
1
Department of Industrial Engineering, University of Kurdistan, Sanandaj, Iran.
AUTHOR
J.
Arkat
j.arkat@uok.ac.ir
2
Department of Industrial Engineering, University of Kurdistan, Sanandaj, Iran.
AUTHOR
R.
Tavakkoli-Moghaddam
tavakoli@ut.ac.ir
3
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.; Arts et Metiers ParisTech, LCFC, Metz, France.
LEAD_AUTHOR
References:
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74
ORIGINAL_ARTICLE
Modelling multi-tour inventory routing problem for deteriorating items with time windows
In recent decades, there are intensive researches on deteriorating inventory. However, only a few researchers focus on the inventory routing problem for deteriorating item. There are many items such as foods, electronic products that deteriorate with time, and many other products in the market also have perishable characteristic. The items not only decay during the stockpiling period but they also deteriorate throughout transportation time. Since deteriorated rate and time is necessary, in this paper, an inventory routing problem with time windows for deteriorating items is developed. Particle Swarm Optimization (PSO) is used to solve the problem since PSO can solve problems in a reasonable period with near optimal solutions. We use two examples to illustrate the model. In a sensitivity analysis, way parameters that impact costs are demonstrated. Our results show that the deteriorating rate in inventory has bigger effects than deteriorating rate in the vehicle, so this research has a significant contribution and managers can give more effort to reduce deteriorating in inventory than the deteriorating rate in vehicles.
https://scientiairanica.sharif.edu/article_20178_c04f32231dee31c14233c74e3c218af4.pdf
2019-04-01
932
941
10.24200/sci.2018.20178
Inventory
IRP
Time Windows
Deteriorating Items
PSO
G.A,
Widyadana
1
Department of Industrial Engineering, Petra Christian University, Surabaya, Indonesia
LEAD_AUTHOR
T.
Irohara
2
Department of Information and Communication Sciences, Sophia University, Tokyo, Japan.
AUTHOR
References:
1
1. Coelho, L.C., Cordeau, J.F., and Laporte, G. "Thirty years of inventory routing", Transportation Science, 48(1), pp. 1-19 (2014).
2
2. Savelsbergh, M. and Song, J.H. "Inventory routing with continuous moves", Computers & Operations Research, 34, pp. 1744-1763 (2007).
3
3. Aghezzaf, E.-H., Raa, B., and Landeghem, H.H. "Modeling inventory routing problems in supply chains of high consumption products", European Journal of Operational Research, 169, pp. 1048-1063 (2006).
4
4. Huang, S.-H. and Lin, P.-C. "A modified ant colony optimization algorithm for multi-item inventory routing problems with demand uncertainty", Transportation Research Part E, 46, pp. 598-611 (2010).
5
5. Liu, S.-C. and Lee, W.-T. "A heuristic method for the inventory routing problem with time windows", Expert Systems with Applications, 38, pp. 13223-13231 (2011).
6
6. Vansteenwegen, P. and Mateo, M. "An iterated local search algorithm for the single-vehicle cyclic inventory routing problem", European Journal of Operational Research, 237, pp. 802-813 (2014).
7
7. Banos, R., Ortega, J., Gil, C., Marquez, A.L., and de Toro, F. "A hybrid meta-heuristic for multi-objective vehicle routing problems with time windows", Computers & Industrial Engineering, 65, pp. 286-296 (2013).
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9
9. Qin, L., Miao, L., Ruan, Q., and Zhang, Y. "A local search method for periodic inventory routing problem", Expert Systems with Applications, 41, pp. 765-778 (2014).
10
10. Raa, B. and Aghezzaf, E.-H. "A practical approach for cyclic inventory routing problem", European Journal of Operational Research, 192, pp. 429-441 (2009).
11
11. Osvald, A. and Stirn, L.Z. "A vehicle routing problem for the distribution of fresh vegetables and similar perishable food", Journal of Food Engineering, 85, pp. 285-295 (2008)
12
12. Chen, H.-K., Hsueh, C.-F., and Chang, M.-S. "Production scheduling and vehicle routing with time windows for perishable food products", Computers & Operations Research, 36, pp. 2311-2319 (2009).
13
13. Amorim, P. and Almada-Lobo, B. "The impact of food perishability issues in the vehicle routing problem", Computers & Industrial Engineering, 67, pp. 223-233 (2014).
14
14. Liao, J.J. "On an EPQ model for deteriorating items under permissible delay in payments", Applied Mathematical Modelling, 31, pp. 393-403 (2007).
15
15. Alfares, H.K., Khursheed, S.N., and Noman, S.Y. "Integrating quality and maintenance decisions in a production-inventory model for deteriorating items", International Journal of Production Research, 43, pp. 899-911 (2005).
16
16. Wee, H.M. and Widyadana, G.A. "A production model for deteriorating items with stochastic preventive maintenance time and rework process with FIFO rule", OMEGA, 41, pp. 941-954 (2013).
17
17. Sarkar, B., Saren, S., and Wee, H.M. "An inventory model with variable demand, component cost and selling price for deteriorating items", Economic Modelling, 30, pp. 306-310 (2013).
18
18. Chung, C.J., Wee, H.M., and Chen, Yi.Li. "Retailer's replenishment policy for deteriorating item in response to future cost increase and incentive-dependent sale", Mathematical and Computer Modelling, 57(3-4), pp. 536-550 (2013).
19
19. Yang, P.C., Wee, H.M., Chung, S.L., and Huang, Y.Y. "Pricing and replenishment strategy for a multimarket deteriorating product with time-varying and price-sensitive demand", Journal of Industrial and Management Optimization, 9(4), pp. 769-787 (2013).
20
20. Baker, M., Riezebos, J., and Teunter, R.H. "Review on inventory systems with deterioration since 2001", European Journal of Operational Research, 221(2), pp. 275-284 (2012).
21
21. Taleizadeh, A.A., Wee, H.M., and Jolai, F. "Revisiting a fuzzy rough economic order quantity model for deteriorating items considering quantity discount and prepayment", Mathematical and Computer Modelling, 57(5-6), pp. 1566-1479 (2013).
22
22. Widyadana, G.A., Irohara, T., and Budiman, S.B. "Inventory routing problem for deteriorating items with multi tours", Proceeding - International Conference on Industrial Engineering and Operations Management, Kuala Lumpur, Malaysia, pp. 2526-2537 (2016).
23
23. Ai, T.J. and Kachitvichyanukul, V. "A particle swarm optimization for the vehicle routing problem with simultaneous pickup and delivery", Computers & Operations Research, 36, pp. 1693-1702 (2009).
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27
ORIGINAL_ARTICLE
Time series prediction with a hybrid system formed by artificial neural network and cognitive development optimization algorithm
Time series prediction is a remarkable research interest, which is widely followed by scientists / researchers. Because many fields include analyzing processes over such time series, different kinds of approaches, methods, and techniques are often employed in order to achieve alternative prediction ways. It seems that Artificial Intelligence oriented solutions have strong potential on providing effective and accurate prediction approaches in even most complicated time series structures. In the sense of the explanations, this study aims to introduce an alternative, Artificial Intelligence based approach of Artificial Neural Networks, and Cognitive Development Optimization Algorithm, a recent intelligent optimization technique introduced by the authors. Here, it has been aimed to predict different kinds of time series, by using the introduced system / approach. In this way it has been possible to discuss about application potential of the hybrid system and report findings related to its success on prediction. The authors believe that the study has been a good chance to support the literature with an alternative solution approach and see potential of a newly developed, Artificial Intelligence oriented optimization algorithm on different applications.
https://scientiairanica.sharif.edu/article_20033_851243735f3a7e94262f3c1b22370b94.pdf
2019-04-01
942
958
10.24200/sci.2018.20033
time series prediction
time series analysis
Artificial Neural Networks
cognitive development optimization algorithm (CoDOA)
Artificial intelligence
U.
Kose
1
Computer Sciences Application and Research Center, Usak University, Usak, Turkey.
LEAD_AUTHOR
A.
Arslan
2
Department of Computer Engineering, Konya Food and Agriculture University, Konya, Turkey.
AUTHOR
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1. Douglas, A.I., Williams, G.M., Samuel, A.W., and Carol, A.W., Basic Statistics for Business and Economics, 3/e., McGraw-Hill (2009).
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ORIGINAL_ARTICLE
Immune-based evolutionary algorithm for determining the optimal sequence of multiple disinfection operations
This paper presents a new multiple disinfection operation problem (MDOP) in which several buildings have to be sprayed with various disinfectants. The MDOP seeks to minimize the total cost of disinfection operations for all buildings. The problem is different from the typical vehicle routing problem since: (a) each building has to receive multiple spray applications of disinfectants; (b) the final spray application of disinfectant in each building is fixed; and (c) for safety, the time interval between two consecutive spray applications of disinfectants for each building must meet or exceed a specified minimum. The MDOP problem is NP-hard and difficult to solve directly. In this paper, we firstly develop an efficient encoding of spray operations to simultaneously determine the optimal sequence of buildings and their respective treatments with spray disinfectants. Secondly, we adopt immune algorithm to solve the presented MDOP. Finally, as a demonstration of our method, we solve the problem for a campus case to determine the optimal disinfection strategy and routes assuming both single and multiple vehicle scenarios. Numerical results of immune algorithm are discussed and compared with those of genetic algorithm and PSO to show the effectiveness of the adopted algorithm.
https://scientiairanica.sharif.edu/article_20324_cc1d32af460358e2990ec3eecaa9b253.pdf
2019-04-01
959
974
10.24200/sci.2018.20324
Disinfection operation
Immune algorithm
optimization
Y.-C.
Hsieh
yhsieh@nfu.edu.tw
1
Department of Industrial Management, National Formosa University, Huwei, Yunlin 632, Taiwan.
AUTHOR
P.-J.
Lee
2
Department of Information Management, National Chung Cheng University, Chia-Yi 621, Taiwan.
AUTHOR
P.-S.
You
3
Department of Business Administration, National ChiaYi University, Chia-Yi 600, Taiwan.
LEAD_AUTHOR
References:
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30
ORIGINAL_ARTICLE
Bonferroni harmonic mean operators based on two-dimensional uncertain linguistic information and their applications in land utilization ratio evaluation
The Bonferroni mean (BM) has the advantages that it can capture the interrelationship among the input arguments, and the Harmonic mean is a conservative average lying between the max and min operators. The 2-dimension uncertain linguistic variables add a subjective evaluation on the reliability of the evaluation results given by decision makers, so they can better express fuzzy information. In this paper, in order to combine the advantages of them, we first propose the 2-dimensional uncertain linguistic weighted Bonferroni mean (2DULWBM) operator. However, it cannot consider the case when the given arguments are too high or too low. So we further proposed the 2-dimensional uncertain linguistic improved weighted Bonferroni harmonic mean (2DULIWBHM) operator, which combine the 2DULWBM with Harmonic Mean. Furthermore, we study some desirable properties and some special cases of them. Further, we develop a new method to deal with some multi-attribute group decision making (MAGDM) problems under 2-dimension uncertain linguistic environment based on the proposed operators. Finally, an illustrative example is given to testify the validity of the developed method by comparing with the other existing methods.
https://scientiairanica.sharif.edu/article_20447_f5b74f9de039067125ef246b96227cfa.pdf
2019-04-01
975
995
10.24200/sci.2018.20447
2-dimension uncertain linguistic
weighted Bonferroni harmonic mean
multi-attribute group decision making
P.
Liu
peide.liu@gmail.com
1
School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, Shandong, China.
LEAD_AUTHOR
W.
Liu
2
School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, Shandong, China.
AUTHOR
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25. Nie, R.X., Wang, J., and Li, L. "2-tuple linguistic intuitionistic preference relation and its application in sustainable location planning voting system", Journal of Intelligent & Fuzzy Systems, 33(2), pp. 885-899 (2017).
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26. Peng, H., Wang, J., and Chen, P. "A linguistic ntuitionistic multi-criteria decision-making method based on the Frank Heronian mean operator and its application in evaluating coal mine safety", International Journal of Machine Learning and Cybernetics, 9(6), pp. 1053-1068 (2018).
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41. Liu, P.D., Liu, J.L., and Chen, S.M. "Some intuitionistic fuzzy Dombi Bonferroni mean operators and their application to multi-attribute group decision making", Journal of the Operational Research Society, DOI: 10.1057/s41274-017-0190-y (2017).
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47
ORIGINAL_ARTICLE
Resilient network design in a location-allocation problem with multi-level facility hardening
There are many sources of risk affecting the network elements may lead to network failure, so planners need to consider them in the network design. One of the most important strategies for disruption risk management is the static resilience. In this strategy, the network functionality is maintained after the disruption event by the prevention and hardening actions. In this paper, a resilient capacitated fixed-charge location-allocation model is proposed. Both facility hardening and equipping of the network to backup facilities for disrupted elements are considered together to avoid supply network failure due to random disruption. Facilities are decided to be hardened in multiple levels before disruption events. The problem is formulated as a non-linear integer programming model, then its equivalent linear form is presented. A Lagrangian decomposition algorithm (LDA) is developed to solve large-scale instances. Computational results confirm the efficacy of the proposed solution approach comparing to classical solution approaches in large-scale problems. Moreover, the superiority of the proposed model is confirmed by comparing to the classical models.
https://scientiairanica.sharif.edu/article_20167_d5dec739bf90ab921972133ed8c8a0a6.pdf
2019-04-01
996
1008
10.24200/sci.2018.20167
Static resilience
location-allocation
Random disruption
Multi-level hardening
Lagrangian decomposition algorithm
Z.
Esfandiyari
1
Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
AUTHOR
M.
Bashiri
bashiri@shahed.ac.ir
2
Department of Industrial Engineering, Shahed University, Tehran, Iran.
LEAD_AUTHOR
R.
Tavakkoli-Moghaddam
tavakoli@ut.ac.ir
3
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.;Arts et Metiers ParisTech, LCFC, Metz, France.
AUTHOR
References:
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8. Medal, H.R., Pohl, E.A., and Rossetti, M.D. "A multiobjective integrated facility location-hardening model: Analyzing the pre and post-disruption tradeoff", European Journal of Operational Research, 237, pp. 257- 270 (2014).
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14. Jabbarzadeh, A., Fahimnia, B., Sheu, J.B., and Shahmoradi-Moghadam, H. "Designing a supply chain resilient to major disruptions and supply/demand interruptions", Transportation Research Part B, 94, pp. 121-149 (2016).
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32
ORIGINAL_ARTICLE
Investigating the impact of simple and mixture priors on estimating sensitive proportion through a general class of randomized response models
Randomized response is an efficacious and effective survey method to collect subtle information. It entitles respondents to respond to over-sensitive issues and defensive questions (such as criminal behavior, gambling habits, addiction to drugs, abortions, etc) while maintaining confidentiality. In this paper, we conducted a Bayesian analysis of a general class of randomized response models by using different prior distributions, such as Beta, Uniform, Jeffreys and Haldane, under squared error, precautionary and Degroot loss functions. We have also expanded our proposal for the case of mixture of Beta priors under squared error loss function. The performance of the Bayes and maximum likelihood estimators is evaluated in terms of mean squared errors. Moreover, an application with real data set is also provided to explain the proposal for practical considerations.
https://scientiairanica.sharif.edu/article_20166_c4aa67ebe4f358723c69901e13c2b8e9.pdf
2019-04-01
1009
1022
10.24200/sci.2018.20166
Bayesian estimation
General randomized response model
Loss functions
Population proportion
Prior distributions
M.
Abid
mabid@zju.edu.cn
1
Department of Statistics, Government College University, Faisalabad, 38000, Pakistan.; Department of Mathematics, Institute of Statistics, Zhejiang University, Hangzhou, 310027, China.
LEAD_AUTHOR
A.
Naeem
2
Government Degree College for Women, Samanabad, Faisalabad, 38000, Pakistan.
AUTHOR
Z.
Hussain
zhlangah@yahoo.com
3
Department of Statistics, Quaid-i-Azam University, Islamabad, 44000, Pakistan.
AUTHOR
M.
Riaz
raiz76qau@yahoo.com
4
Department of Mathematics and Statistics, King Fahad University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia.
AUTHOR
M.
Tahir
tahirqaustat@yahoo.com
5
Department of Statistics, Government College University, Faisalabad, 38000, Pakistan.
AUTHOR
References:
1
1. Warner, S.L. "Randomized response: A survey technique for eliminating evasive answer bias", Journal of the American Statistical Association, 60, pp. 63-69 (1965).
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4. Kim, M.J., Tebbs, J.M., and An, S.W. "Extension of Mangat's randomized response model", Journal of Statistical Planning and Inference, 36(4), pp. 1554- 1567 (2006).
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5. Christofides, T.C. "A generalized randomized response technique", Metrika, 57, pp. 195-200 (2003).
6
6. Hussain, Z. and Shabbir, J. "Improved estimation procedures for the mean of sensitive variable using randomized response model", Pakistan Journal of Statistics, 25(2), pp. 205-220 (2009).
7
7. Kim, J.-M. and Heo, T.-Y. "Randomized response group testing model", Journal of Statistical Theory and Practice, 7(1), pp. 33-48 (2013).
8
8. Lee, G.S., Hong, K-H., Kim, J-M., and Son, C-K. "An estimation of a sensitive attribute based on a two stage stratified randomized response model with stratified unequal probability sampling", Brazilian Journal of Probability and Statistics, 28(3), pp. 381-408 (2014).
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9. Abdelfatah, S. and Mazloum, R. "Improved randomized response model using three decks of cards", Model Assisted Statistical Application, 9, pp. 63-72 (2014).
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11. Blair, G., Imai, K., and Zhou, Y-Y. "Design and analysis of the randomized response technique", Journal of the American Statistical Association, 110(511), pp. 1304-1319 (2015).
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12. Singh, H.P. and Gorey, S.M. "An efficient new randomized response model", Communications in Statistics- Theory and Methods, 46(24), pp. 12059-12074 (2017).
13
13. Chaudhuri, A. and Mukerjee, R., Randomized Response: Theory and Methods, Marcel- Decker, New York (1998).
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15. Chaudhuri, A., Randomized Response and Indirect Questioning Techniques in Surveys, Chapman & Hall, CRC Press, Taylor & Francis, Boca Raton, USA (2011).
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18. Migon, H. and Tachibana, V. "Bayesian approximations in randomized response models", Computational Statistics and Data Analysis, 24, pp. 401-409 (1997).
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25. Barabesi, L. and Marcheselli, M. "Bayesian estimation of proportion and sensitivity level in randomized response procedures", Metrika, 72, pp. 75-88 (2010).
26
26. Hussain, Z. and Shabbir, J. "Bayesian estimation of population proportion of a sensitive characteristic using simple Beta prior", Pakistan Journal of Statistics, 25(1), pp. 27-35 (2009).
27
27. Hussain, Z. and Shabbir, J. "Bayesian estimation of population proportion in Kim andWarde (2005) mixed randomized response using mixed prior distribution", Journal of Probability and Statistical Science, 7(1), pp. 71-80 (2009).
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28. Hussain, Z. and Shabbir, J. "Estimation of the mean of a socially undesirable characteristics", Scientia Iranica, 20(3), pp. 839-845 (2013).
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29. Hussain, Z., Shabbir, J., and Riaz, M. "Bayesian estimation using Warner's randomized response model through simple and mixture prior distributions", Communications in Statistics-Simulations and Computations, 40(1), pp. 147-164 (2011).
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33. Son, C.-K. and Kim, J.-M. "Bayes linear estimators of two stage and stratified randomized response models", Models Assisted Statistics and Applications, 10, pp. 321-333 (2015).
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34. Song, J.J. and Kim, J-M. "Bayesian estimation of rare sensitive attribute", Communications in Statistics- Simulation and Computation, 46(5), pp. 4154-4160 (2017).
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41
ORIGINAL_ARTICLE
Redundancy allocation problem with a mixed strategy for a system with k-out-of-n subsystems and time-dependent failure rates based on Weibull distribution: An optimization via simulation approach
Reliability improvement for electronics and mechanical systems is vital for engineers in order to design of these systems. For this reason, there are many researches in this scope to help engineers in real world applications. One of the useful methods in reliability optimization is redundancy allocation problem (RAP). In the most previous works, the failure rates of system components are considered to be constant based on negative exponential distribution; whereas, nearly all systems in real world have components with time-dependent failure rates; i.e., the failure rates of system components will be changed time by time. In this paper, we have worked on a RAP for a system under k-out-of-n subsystems with time-dependent components failure rates based on Weibull distribution. Also, the redundancy policy of the proposed system is considered as mixed strategy and the optimization method was based on the simulation technique to obtain reliability function as implicit function. Finally, a branch and bound algorithm has been used to solve the model, exactly.
https://scientiairanica.sharif.edu/article_20152_61eae496227c36c5d4d9b0d310750a66.pdf
2019-04-01
1023
1038
10.24200/sci.2018.20152
Reliability
Redundancy allocation problem
Weibull Distribution
Time-dependent Failure Rates
Optimization via Simulation
P.
Pourkarim Guilani
pedram_pourkarim@yahoo.com
1
Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
AUTHOR
P.
Azimi
2
Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
LEAD_AUTHOR
M.
Sharifi
3
Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
AUTHOR
M.
Amiri
amiri@atu.ac.ir
4
Department of Industrial Management, Management and Accounting Faculty, Allame Tabataba’i University, Tehran, Iran
AUTHOR
References:
1
1. Fyffe, D.E., Hines, W.W., and Lee, N.K. "System reliability allocation and a computational algorithm", IEEE Transactions on Reliability, 17, pp. 64-69 (1968).
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2. Nakagawa, Y. and Miyazaki, S. "Surrogate constraints algorithm for reliability optimization problems with two constraints", IEEE Transactions on Reliability, 30, pp. 175-180 (1981).
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5. Pham, H. and Malon, D.M. "Optimal design of systems with competing failure modes", IEEE Transactions on Reliability, 43, pp. 251-254 (1994).
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6. Chern, M.S. "On the computational complexity of reliability redundancy allocation in a series system", Operation Research Letters, 11, pp. 309-315 (1992).
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9. Coit, D.W. and Liu, J. "System reliability optimization with k-out-of-n subsystems", International Journal of Reliability, Quality & Safety Engineering, 35, pp. 535- 544 (2000).
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10. Coit, D.W. "Maximization of system reliability with a choice of redundancy strategies", IEEE Transaction on Reliability, 35, pp. 535-544 (2003).
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11. Tavakkoli-Moghaddam, R., Safari, J., and Sassani, F. "Reliability optimization of series-parallel systems with a choice of redundancy strategies using a genetic algorithm", Reliability Engineering and System Safety, 93, pp. 550-556 (2008).
12
12. Ghorabaee, M.K., Amiri, M., and Azimi, P. "Genetic algorithm for solving bi-objective redundancy allocation problem with k-out-of-n subsystems", Applied Mathematical Modelling, 39(20) pp. 6396-6409 (2015).
13
13. Zhang, E. and Chen, Q. "Multi-objective reliability redundancy allocation in an interval environment using particle swarm optimization", Reliability Engineering & System Safety, 145, pp. 83-92 (2016).
14
14. Teimouri, M., Zaretalab, A, Niaki, S.T.A., and Sharifi, M. "An efficient memory-based electromagnetism-like mechanism for the redundancy allocation problem", Applied Soft Computing, 38, pp. 423-436 (2016).
15
15. Pourkarim Guilani, P., Niaki, S.T.A., Zaretalab, A., and Pourkarim Guilani, P. "A bi-objective model to optimize reliability and cost of three-state systems with k-out-of-n subsystems", Sciantia Iranica, 24(3), pp. 1585-1602 (2017).
16
16. Garg, H., Rani, M., Sharma, S.P., and Vishwakarma, Y. "Bi-objective optimization of the reliabilityredundancy allocation problem for series-parallel system", Journal of Manufacturing Systems, 33(3), pp. 335-347 (2014).
17
17. Garg, H., Rani, M., Sharma, S.P., and Vishwakarma, Y. "Intuitionistic fuzzy optimization technique for solving multi-objective reliability optimization problems in interval environment", Expert Systems with Applications, 41(7), pp. 3157-3167 (2014).
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18. Garg, H. "An efficient biogeography based optimization algorithm for solving reliability optimization problems", Swarm and Evolutionary Computation, 24, pp. 1-10 (2015).
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19. Garg, H. "An approach for solving constrained reliability-redundancy allocation problems using cuckoo search algorithm", Beni-Suef University Journal of Basic and Applied Sciences, 4(1), pp. 14-25 (2015).
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20. Ardakan, M.A. and Hamadani, A.Z. "Reliability optimization of series-parallel systems with mixed redundancy strategy in subsystems", Reliability Engineering and System Safety, 130, pp. 132-139 (2014).
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32
ORIGINAL_ARTICLE
Sustainable procurement decision of electric coal under fuzzy information environment
Green supply chain management is a crucial challenge for the sustainable development of the enterprises. In this paper, we study the problem of supplier selection for the multi-attribute and multi-source green procurement of electric coal under fuzzy information environment. Concretely, we establish a new index system of supplier selection by considering both the economic factors and environmental factors, and then present a multi-attribute decision making method based on 2-tuple deviation degree to rank all alternative suppliers in the green procurement of electric coal. We also highlight the implementation, availability, and feasibility of the green procurement decision method of electric coal by using an example of the multi-source procurement of electricity coal. We try to provide theoretical basis and decision-making reference for the thermal power enterprise to implement scientific green procurement management of electric coal.
https://scientiairanica.sharif.edu/article_20194_eac30075f2caac8309fb498fc160efef.pdf
2019-04-01
1039
1048
10.24200/sci.2018.5054.1065
Electric coal
Multi-attribute and multi-source procurement
Supplier selection
Linguistic fuzzy variable
2-tuple
2-tuple deviation degree
C.
Rao
cjrao@163.com
1
School of Science, Wuhan University of Technology, Wuhan 430070, P.R. China.
AUTHOR
C.
Wang
wangc80@163.com
2
School of Mathematics and Economics, Hubei University of Education, P.R. China.
LEAD_AUTHOR
Z.
Hu
910916608@qq.com
3
College of Automation, Wuhan University of Technology, Wuhan 430070, P.R. China.
AUTHOR
Y.
Meng
85176701@qq.com
4
School of Science, Wuhan University of Technology, Wuhan 430070, P.R. China.
AUTHOR
M.
Liu
455603822@qq.com
5
School of Science, Wuhan University of Technology, Wuhan 430070, P.R. China.
AUTHOR
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51
ORIGINAL_ARTICLE
New operations for interval-valued Pythagorean fuzzy set
Interval-valued Pythagorean fuzzy set (IVPFS), originally proposed by Peng and Yang, is a novel tool to deal with vagueness and incertitude. As a generalized set, IVPFS has closerelationship with interval-valued intuitionistic fuzzy set (IVIFS). IVPFS can be reduced to IVIFS satisfying thecondition $\mu^++\nu^+ \leq 1$. However, the related operations of IVPFS do not take different conditionsinto consideration. In this paper, we initiate some new interval-valued Pythagorean fuzzy operators ($\diamondsuit, \Box, \spadesuit, \clubsuit, \maltese, \rightarrow, \$ $) and discuss their properties in relation with some existing operators $(\cup, \cap, \oplus, \otimes)$ in detail. It will promote the development of interval-valued Pythagorean fuzzy operators. Later, we propose an algorithm to deal with multi-attribute decision making (MADM) problem based on proposed $\spadesuit$ operator. Finally, the effectiveness and feasibility of approach isdemonstrated by mine emergency decision making example.
https://scientiairanica.sharif.edu/article_20160_7adc73835c485ae15a1ea0599dc2d12e.pdf
2019-04-01
1049
1076
10.24200/sci.2018.5142.1119
Interval-valued Pythagorean fuzzy set
interval-valued Pythagorean fuzzy operators
Multi-attribute decision making
X.
Peng
952518336@qq.com
1
School of Information Science and Engineering, Shaoguan University, Shaoguan, People's Republic of China.
LEAD_AUTHOR
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