ORIGINAL_ARTICLE
Fixed point theorems of LW-type Lipschitz cyclic mappings in complete B-metric-like spaces
The research of Fixed Point Theorems (FPTs) plays an important role in nonlinear analysis. It is of great theoretical significance and profound application value to study general abstract theory in a B-Metric-Like Space (BMLS). So, it is an important topic to study the Fixed Point Theory (FPT) in a BMLS. In this paper, for the purpose of introducing some new FPTs, a -type Lipschitz Cyclic Mapping (LTLCM) is first proposed by us in a complete BMLS, and we proved the existence theorem of fixed points of -type Lipschitz Cyclic Mappings (LTLCMs) in complete BLMS. Next, we also construct an example in a discrete complete BMLS to show and illustrate the effectiveness of . In the end, on the basis of the example, we show the calculation of the range of the parameter s that appears in B-Metric-Like Spaces (BMLSs). Our main theorems extend and develop existing results in the recent literature.
https://www.riejournal.com/article_69249_18b6519c1107f18f2f0d671bb0fda8e7.pdf
2018-09-01
136
146
10.22105/riej.2018.143285.1051
LW-Type Lipschitz Cyclic Mapping (LTLCM)
B-Metric-Like Space (BMLS)
Fixed Point Theorem (FPT)
Nonlinear analysis
Sh.
Weng
wengsq96@163.com
1
Department of Applied Mathematics, Chengdu University of Information Technology, Chengdu 610000, China.
LEAD_AUTHOR
Y.
Zhang
513595779@qq.com
2
Department of Applied Mathematics, Chengdu University of Information Technology, Chengdu 610000, China
AUTHOR
D. P.
Wu
wdp68@163.com
3
Department of Applied Mathematics, Chengdu University of Information Technology, Chengdu 610000, China.
AUTHOR
[1] Banach, S. (1922). Sur les opérations dans les ensembles abstraits et leur application aux équations intégrales. Fundamenta mathematicae, 3(1), 133-181.
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[10] Alghamdi, M. A., Hussain, N., & Salimi, P. (2013). Fixed point and coupled fixed point theorems on b-metric-like spaces. Journal of inequalities and applications, (1), 402.
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[11] Klin-eam, C., & Suanoom, C. (2015). Dislocated quasi-b-metric spaces and fixed point theorems for cyclic contractions. Fixed point theory and applications, (1), 74.
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[12] Van An, T., Van Dung, N., Kadelburg, Z., & Radenović, S. (2015). Various generalizations of metric spaces and fixed point theorems. Revista de la real academia de ciencias exactas, fisicas y naturales. serie A. Matematicas, 109(1), 175-198.
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[13] Aydi, H., & Felhi, A. (2016). Best proximity points for cyclic Kannan-Chatterjea-Ciric type contractions on metric-like spaces. Journal of nonlinear sciences and applications (JNSA), 9(5), 2458-2466.
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[14] Wu, H., & Wu, D. (2016). Some fixed point theorems in complete dislocated quasi-b-metric space. Journal of mathematics research, 8(4), 68.
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[16] Fan, X. (2016). Fixed point theorems for cyclic mappings in quasi-partial b-metric spaces. Journal of nonlinear sciences and applications (JNSA), 9(5), 2175-2189.
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[17] Zoto, K., Rhoades, B. E., & Radenović, S. (2017). Some generalizations for (α− ψ, ϕ) $(alpha-psi,phi) $-contractions in b-metric-like spaces and an application. Fixed point theory and applications, (1), 26.
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[18] Nashine, H. K., & Kadelburg, Z. (2017). Existence of solutions of cantilever beam problem via (α-β-FG)-contractions in b-metric-like spaces. Filomat, 31(11), 3057-3074.
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[19] Aydi, H., & Czerwik, S. (2018). Fixed point theorems in generalized b-metric spaces. Modern discrete mathematics and analysis (pp. 1-9). Springer, Cham.
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[20] Afshari, H., Kalantari, S., & Aydi, H. (2018). Fixed point results for generalized α− ψ-Suzuki-contractions in quasi-b-metric-like spaces. Asian-European journal of mathematics, 11(01), 1850012.
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[21] Zoto, K., Radenović, S., & Ansari, A. H. (2018). On some fixed point results for (s, p, α)-contractive mappings in b-metric-like spaces and applications to integral equations. Open mathematics, 16(1), 235-249.
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[22] Aydi, H., Felhi, A., & Sahmim, S. (2016). On common fixed points for (α, ψ)-contractions and generalized cyclic contractions in b-metric-like spaces and consequences. Journal of nonlinear sciences and applications (JNSA), 9, 2492-2510.
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[23] Lei, M., & Wu, D. p. (2017). Fixed point theorems concerning new type cyclic maps in complete b-metric-like spaces. Journal of Chengdu university of information technology, 2, 82-85.
23
ORIGINAL_ARTICLE
Solving a new multi-objective resource constrained project scheduling problem by SAICA and compare it with DE method
Nowadays the Resource Constrained Project Scheduling Problem (RCPSP) has triggered a substantially significant issue among scheduling problems. The purpose of RCPSP is minimizing the duration of the projects due to both limited available resources and precedence constraints. Indeed, it attempts to consume the total resources by finding the best duration for each activity. This paper proposes a new multi-objective mathematical model for multi-mode RCPSP with interruption to minimize the completion time of the project, maximize the Net Present Value (NPV) of the project, and minimize the allocating workforce’s costs to perform required skills of all activities. To solve the proposed model, an efficient method based on Me measure is used to cope with the uncertainties, and TH method is utilized to convert the multi-objective method into the single one. Furthermore, this paper presents a novel hybrid meta-heuristic algorithm based on Imperialist Competitive Algorithms (ICA) named Self-Adaptive Imperialist Competitive Algorithm (SAICA) to solve the mathematical model which has never been used to solve this type of problems before. Also, to evaluate the proposed method, its performance is investigated against some meta-heuristic algorithms: Differential Evolution (DE) and Imperialist Competitive Algorithm (ICA). Then, a numerical example, two case studies and a real case study have been carried out to embody both validity and efficiency of the presented approach. The obtained results embody that the proposed SAICA is more effective and practical in comparison with DE, ICA, and BCO in decreasing the project duration and also, the considerable effect on solutions confirms the quality of the proposed method.
https://www.riejournal.com/article_66659_43df6338e213c4ebed7a6be167f1aaad.pdf
2018-09-01
147
183
10.22105/riej.2018.127733.1038
Project scheduling
Resource-Constrained Project Scheduling Problem (RCPSP)
Meta- heuristic algorithm
Self-Adaptive Imperialist Competitive Algorithm (SAICA)
A.
Esmaili Dooki
esmaili.ayda@yahoo.com
1
Department of Industrial Engineering, Islamic Azad University, Firoozkooh Branch, Firoozkooh, Iran.
LEAD_AUTHOR
p.
Bolhasani
parisa.4683@gmail.com
2
Department of Industrial Engineering, Islamic Azad University, Tehran Markaz Branch,Tehran, Iran.
AUTHOR
A.
Alam Tabriz
a-tabriz@sbu.ac.ir
3
Department of Management, Shahid Beheshti University, Tehran, Iran.
AUTHOR
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[11] Ballestín, F., Barrios, A., & Valls, V. (2011). An evolutionary algorithm for the resource-constrained project scheduling problem with minimum and maximum time lags. Journal of scheduling, 14(4), 391-406.
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[12] Kima, K. W., Gen, M., Yamazaki, G. (2003). Hybrid genetic algorithm with fuzzy logic for resource-constrained project scheduling. Applied soft computing, 2(3), 174–188.
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[13] Cervantes, M., Lova, A., Tormos, P., Barber, F. (2008). A dynamic population steady-state genetic algorithm for the resource-constrained project scheduling problem. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer.
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[14] Goncalves, J. F., Mendes, J. J. M., Resende, M. G. C. (2008). A genetic algorithm for the resource constrained multi-project scheduling problem. European journal of operational research,189(3), 1171–1190.
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15
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[31] Rahimi, A., Karimi, H., & Afshar-Nadjafi, B. (2013). Using meta-heuristics for project scheduling under mode identity constraints. Applied soft computing, 13(4), 2124-2135.
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[34] Panahi, I., & Nahavandi, N. (2017). An efficient imperialist competitive algorithm for resource constrained project scheduling problem. Journal of industrial engineering, 51(2), 161-174.
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[35] Namazi, S., Fard, M. R. Z., Mousavi, S. M. R., & Nasab, M. B. (2014). Solving multi-mode resource constrained project scheduling with IC algorithm and compare it with pso algorithm. Advances in life sciences, 4(3), 140-145.
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[38] Mendes, J. J. D. M., Gonçalves, J. F., & Resende, M. G. (2009). A random key based genetic algorithm for the resource constrained project scheduling problem. Computers & operations research, 36(1), 92-109.
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[45] Mohammadi, M., Torabi, S. A., & Tavakkoli-Moghaddam, R. (2014). Sustainable hub location under mixed uncertainty. Transportation research part E: Logistics and transportation review, 62, 89-115.
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[47] Eshraghi, A. (2016). A new approach for solving resource constrained project scheduling problems using differential evolution algorithm. International journal of industrial engineering computations, 7(2), 205-216.
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[50] Lučić, P., & Teodorović, D. (2003). Computing with bees: Attacking complex transportation engineering problems. International journal on artificial intelligence tools, 12(03), 375-394.
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[51] Atashpaz-Gargari, E., & Lucas, C. (2007). Imperialist competitive algorithm: An algorithm for optimization inspired by imperialist competitive. 2007 IEEE congress on evolutionary computation. Singapore, Singapore: IEEE.
52
[52] Ardalan, Z., Karimi, S., Poursabzi, O., & Naderi, B. (2015). A novel imperialist competitive algorithm for generalized traveling salesman problems. Applied soft computing, 26, 546-555.
53
[53] Afruzi, E. N., Najafi, A. A., Roghanian, E., & Mazinani, M. (2014). A multi-objective imperialist competitive algorithm for solving discrete time, cost and quality trade-off problems with mode-identity and resource-constrained situations. Computers & operations research, 50, 80-96.
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60
ORIGINAL_ARTICLE
Simultaneous optimization of quantitative and ordinal responses using Taguchi method
In the real world, the overall quality of a product is often represented partly by the measured values of some quantitative variables and partly by the observed values of some ordinal variables. The settings for the manufacturing processes of such products are required to be optimized considering the quantitative as well as the ordinal response variables. But the simultaneous optimization of the quantitative and the ordinal response variables are rarely attempted by the researchers. In this paper, a new approach for simultaneous optimization of quantitative and ordinal responses are presented, which are developed by integrating multiple regression techniques, ordinal logistic regression technique, and Taguchi’s Signal-to-Noise Ratio (SNR) concept. The effectiveness of the proposed method is evaluated by analyzing two experimental data sets taken from the literature. The comparison of results reveals that the proposed method leads to the best optimal solution with respect to the total SNR as well as the Mean Square Error (MSE) of individual responses
https://www.riejournal.com/article_65552_5d45fc1165647dc42a9a068211091be9.pdf
2018-09-01
184
205
10.22105/riej.2018.127858.1039
Quantitative responses
Ordinal responses
Multiple regression
Ordinal logistic regression
Taguchi method
optimization
S.
Pal
surajitpal@hotmail.com
1
Statistical Quality Control and Operations Research Unit, Indian Statistical Institute, 110, Nelson Manickam Road, Chennai- 600029, India.
AUTHOR
S.
Gauri
susantagauri@hotmail.com
2
Statistical Quality Control and Operations Research Unit, Indian Statistical Institute, 203 B. T. Road, Kolkata-700108, India.
LEAD_AUTHOR
[1] Taguchi, G. (1986). Introduction to quality engineering. Tokyo, Asian Productivity Organization.
1
[2] Derringer, G., & Suich, R. (1980). Simultaneous optimization of several response variables. Journal of quality technology, 12(4), 214-219.
2
[3] Logothetis, N., & Haigh, A. (1988). Characterizing and optimizing multi‐response processes by the taguchi method. Quality and reliability engineering international, 4(2), 159-169.
3
[4] Vining, G. G., & Myers, R. H. (1990). Combining Taguchi and response surface philosophies: A dual response approach. Journal of quality technology, 22(1), 38-45.
4
[5] Tsui, K. L. (1999). Robust design optimization for multiple characteristic problems. International Journal of production research, 37(2), 433-445.
5
[6] Wu, F. C. (2004). Optimization of correlated multiple quality characteristics using desirability function. Quality engineering, 17(1), 119-126.
6
[7] Yin, X., He, Z., Niu, Z., & Li, Z. S. (2018). A hybrid intelligent optimization approach to improving quality for serial multistage and multi-response coal preparation production systems. Journal of manufacturing systems, 47, 199-216.
7
[8] Su, C. T., & Tong, L. I. (1997). Multi-response robust design by principal component analysis. Total quality management, 8(6), 409-416.
8
[9] Tong, L. I., & Hsieh, K. L. (2000). A novel means of applying artificial neural networks to optimize multi-response problem. Quality engineering, 13(1), 11–18.
9
[10] Tong, L. I., Wang, C. H., & Chen, H. C. (2005). Optimization of multiple responses using principal component analysis and technique for order preference by similarity to ideal solution. The International journal of advanced manufacturing technology, 27(3-4), 407-414.
10
[11] Liao, H. C. (2006). Multi-response optimization using weighted principal component. The international journal of advanced manufacturing technology, 27(7-8), 720-725.
11
[12] Pal, S., & Gauri, S. K. (2010). Multi-response optimization using multiple regression–based weighted signal-to-noise ratio (MRWSN). Quality engineering, 22(4), 336-350.
12
[13] Marcucci, M. (1985). Monitoring multinomial processes. Journal of quality technology, 17(2), 86-91.
13
[14] Franceschini, F., & Romano, D. (1999). Control chart for linguistic variables: A method based on the use of linguistic quantifiers. International journal of production research, 37(16), 3791-3801.
14
[15] Wang, K., & Tsung, F. (2010). Recursive parameter estimation for categorical process control. International journal of production research, 48(5), 1381-1394.
15
[16] Li, J., Tsung, F., & Zou, C. (2014). A simple categorical chart for detecting location shifts with ordinal information. International journal of production research, 52(2), 550-562.
16
[17] Wu, F. C. (2008). Simultaneous optimization of robust design with quantitative and ordinal data. International journal of industrial engineering: Theory, applications and practice, 15(2), 231-238.
17
[18] Karabulut, G. B. (2013). Comparison of methods for robust parameter design of products and processes with an ordered categorical response (Doctoral Dissertation, Middle East Technical University). Retrieved from http://etd.lib.metu.edu.tr/upload/12616313/index.pdf
18
[19] Box, G. (1986). Discussion of testing in industrial experiments with ordered categorical data by VN Nair. Technometrics, 28, 295-301.
19
[20] Hamada, M., & Wu, C. F. J. (1986). Discussion. Technometrics, 28(4), 302-306.
20
[21] Agresti, A. (2010). Analysis of ordinal categorical data (Vol. 656). John Wiley & Sons.
21
[22] Nair, V. N. (1986). Testing in industrial experiments with ordered categorical data. Technometrics, 28(4), 283-291.
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[23] Koch, G. G., Tangen, C., Tudor, G., & Stokes, M. E. (1990). Discussion: Strategies and issues for the analysis of ordered categorical data from multifactor studies in industry. Technometrics, 32(2), 137-149.
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[24] Chipman, H., & Hamada, M. (1996). Bayesian analysis of ordered categorical data from industrial experiments. Technometrics, 38(1), 1-10.
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[25] Jeng, Y. C., & Guo, S. M. (1996). Quality improvement for RC06 chip resistor. Quality and reliability engineering international, 12(6), 439-445.
25
[26] Wu, F. C., & Yeh, C. H. (2006). A comparative study on optimization methods for experiments with ordered categorical data. Computers & industrial engineering, 50(3), 220-232.
26
[27] Asiabar, M. H., & Ghomi, S. F. (2006). Analysis of ordered categorical data using expected loss minimization. Quality engineering, 18(2), 117-121.
27
[28] Bashiri, M., Kamranrad, R., & Karimi, H. (2012). Response optimization in ordinal logistic regression using heuristic and meta-heuristic algorithm. Journal of Sharif university, 28, 79-92.
28
[29] Hsieh, K. L., & Tong, L. I. (2001). Optimization of multiple quality responses involving qualitative and quantitative characteristics in IC manufacturing using neural networks. Computers in industry, 46(1), 1-12.
29
[30] León, R. V., Shoemaker, A. C., & Kacker, R. N. (1987). Performance measures independent of adjustment: an explanation and extension of Taguchi’s signal-to-noise ratios. Technometrics, 29(3), 253-265.
30
[31] Phadke, M. S. (1995). Quality engineering using robust design. Prentice Hall PTR.
31
ORIGINAL_ARTICLE
Cloud manufacturing: from a concept to a way for being lean
Today, a production enterprise cannot survive without using computer-based machines. Nevertheless, not all enterprises have enough money to invest in such manufacturing resources. On the other hand, handling the resource or providing appropriate platform is not easy at all. For companies, Cloud-based strategies give them a chance to bring their inherent knowledge and intelligence to every business case and cause a quick response by reducing the cost of investment. Manufacturers know that providing capacity, according to demand will increase the profit and help them to get new work contracts. In the recent century, intelligent manufacturing would be the one in which all information is available in the most useful way, right where and when that it is needed to hold an optimum operation or response such as cloud manufacturing. This paper aims to provide a framework for how using cloud services emerge at obtaining lean concepts in the manufacturing companies. The research has conducted through semi-structured interviews among professionals in Cloud-based environments and production systems. Key managers or employees from different levels have selected. Analyzing interview transcripts using a constructivist approach to grounded theory is supposed to result in a model for how to develop cloud service models according to the lean concepts, especially in manufacturing frameworks.
https://www.riejournal.com/article_68820_257f593ceb03cf7920abd75299d38aed.pdf
2018-09-01
206
223
10.22105/riej.2018.134464.1044
Cloud manufacturing
Lean principles
Manufacturing system
Grounded theory
Manufacturing resources
A.
Hassanzadeh
a.hassanzade@ut.ac.ir
1
Department of Operations and Production Management,University of Tehran,Tehran,Iran.
LEAD_AUTHOR
S. M.
Razavi
mrazavi@ut.ac.ir
2
Department of Industrial Management, University of Tehran, Tehran, Iran.
AUTHOR
A.
Mohaghar
amohaghar@ut.ac.ir
3
Department of Industrial Management, University of Tehran, Tehran, Iran.
AUTHOR
M.
Houshmand
hoshmand@sharif.edu
4
Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran.
AUTHOR
H.
Safari
hsafari@ut.ac.ir
5
Department of Industrial Management, University of Tehran, Tehran, Iran.
AUTHOR
[1] Agarwal, A., Shankar, R., & Tiwari, M. K. (2006). Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach. European journal of operational research, 173(1), 211-225.
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[2] Alizon, F., Shooter, S. B., & Simpson, T. W. (2008, January). Henry ford and the model T: lessons for product platforming and mass customization. Proceeding of ASME 2008 international design engineering technical conferences and computers and information in engineering conference (pp. 59-66). Brooklyn, New York, USA: American Society of Mechanical Engineers.
2
[3] Azadeh, A., Zarrin, M., Abdollahi, M., Noury, S., & Farahmand, S. (2015). Leanness assessment and optimization by fuzzy cognitive map and multivariate analysis. Expert systems with applications, 42(15), 6050-6064.
3
[4] Castro, H., Putnik, G., Cruz-Cunha, M. M., Ferreira, L., Shah, V., & Alves, C. (2013). Meta-organization and manufacturing Web 3.0 for ubiquitous virtual enterprise of manufacturing SMEs: a framework. Procedia CIRP, 12, 396-401.
4
[5] Corbin, J. M. & Strauss, A. L. (2008). Basics of qualitative research: Techniques and procedures
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for developing grounded theory. Sage Publications, Los Angeles, CA.
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[6] Creswell, J. W. (2007). Qualitative inquiry and research design: Choosing Among five traditions. Sage Publications, Thousand Oaks, CA.
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[7] Dowlatshahi, S., & Cao, Q. (2006). The relationships among virtual enterprise, information technology, and business performance in agile manufacturing: An industry perspective. European journal of operational research, 174(2), 835-860.
8
[8] Valilai, O. F., & Houshmand, M. (2013). A collaborative and integrated platform to support distributed manufacturing system using a service-oriented approach based on cloud computing paradigm. Robotics and computer-integrated manufacturing, 29(1), 110-127.
9
[9] Fatahi Valilai, O., & Houshmand, M. (2014). A platform for optimisation in distributed manufacturing enterprises based on cloud manufacturing paradigm. International journal of computer integrated manufacturing, 27(11), 1031-1054.
10
[10] Ferreira, L., Putnik, G., Cunha, M., Putnik, Z., Castro, H., Alves, C., ... & Varela, M. L. R. (2013). Cloudlet architecture for dashboard in cloud and ubiquitous manufacturing. Procedia CIRP, 12, 366-371.
11
[11] Gao, R., Wang, L., Teti, R., Dornfeld, D., Kumara, S., Mori, M., & Helu, M. (2015). Cloud-enabled prognosis for manufacturing. CIRP annals, 64(2), 749-772.
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[12] Helo, P., Suorsa, M., Hao, Y., & Anussornnitisarn, P. (2014). Toward a cloud-based manufacturing execution system for distributed manufacturing. Computers in industry, 65(4), 646-656.
13
[13] Hu, C. S., Xu, C. D., Cao, X. B., & Fu, J. C. (2012). Study of classification and modeling of virtual resources in cloud manufacturing. Applied mechanics and materials, 121, 2274-2280.
14
[14] Park, J. H., & Jeong, H. Y. (2014). Cloud computing-based jam management for a manufacturing system in a Green IT environment. The journal of supercomputing, 69(3), 1054-1067.
15
[15] Kendrick, B. A., Dhokia, V., & Newman, S. T. (2017). Strategies to realize decentralized manufacture through hybrid manufacturing platforms. Robotics and computer-integrated manufacturing, 43, 68-78.
16
[16] Korambath, P., Wang, J., Kumar, A., Hochstein, L., Schott, B., Graybill, R. B., ... & Davis, J. (2014, January). Deploying kepler workflows as services on a cloud infrastructure for smart manufacturing. Proceedings of 14th international conference on computational science ICCS (pp. 2254-2259).
17
[17] Li, C., Wang, S., Kang, L., Guo, L., & Cao, Y. (2014). Trust evaluation model of cloud manufacturing service platform. The international journal of advanced manufacturing technology, 75(1-4), 489-501.
18
[18] Lu, Y., Xu, X., & Xu, J. (2014). Development of a hybrid manufacturing cloud. Journal of manufacturing systems, 33(4), 551-566.
19
[19] Lutz, M., Boucher, X., & Roustant, O. (2012). Information technologies capacity planning in manufacturing systems: Proposition for a modelling process and application in the semiconductor industry. Computers in industry, 63(7), 659-668.
20
[20] Martínez-Jurado, P. J., Moyano-Fuentes, J., & Jerez-Gómez, P. (2014). Human resource management in lean production adoption and implementation processes: success factors in the aeronautics industry. BRQ business research quarterly, 17(1), 47-68.
21
[21] Matt, D. T., & Rauch, E. (2013). Implementation of lean production in small sized enterprises. Procedia CIRP, 12, 420-425.
22
[22] Matt, D. T., Rauch, E., & Dallasega, P. (2015). Trends towards distributed manufacturing systems and modern forms for their design. Procedia CIRP, 33, 185-190.
23
[23] Mourtzis, D., Doukas, M., Lalas, C., & Papakostas, N. (2015). Cloud-based integrated shop-floor planning and control of manufacturing operations for mass customisation. Procedia CIRP, 33, 9-16.
24
[24] Powell, D., Strandhagen, J. O., Tommelein, I., Ballard, G., & Rossi, M. (2014). A new set of principles for pursuing the lean ideal in engineer-to-order manufacturers. Procedia CIRP, 17, 571-576.
25
[25] Putnik, G. D., Castro, H., Ferreira, L., Barbosa, R., Vieira, G., Alves, C., ... & Varela, L. (2012). Advanced manufacturing systems and enterprises–towards ubiquitous and cloud manufacturing. University of Minho, School of Engineering, LabVE.
26
[26] Ren, L., Zhang, L., Wang, L., Tao, F., & Chai, X. (2017). Cloud manufacturing: key characteristics and applications. International journal of computer integrated manufacturing, 30(6), 501-515.
27
[27] Song, T., Liu, H., Wei, C., & Zhang, C. (2014). Common engines of cloud manufacturing service platform for SMEs. The international journal of advanced manufacturing technology, 73(1-4), 557-569.
28
[28] Sullivan, W. G., McDonald, T. N., & Van Aken, E. M. (2002). Equipment replacement decisions and lean manufacturing. Robotics and computer-integrated manufacturing, 18(3-4), 255-265.
29
[29] Um, J., Choi, Y. C., & Stroud, I. (2014). Factory planning system considering energy-efficient process under cloud manufacturing. Procedia CIRP, 17, 553-558.
30
[30] Verl, A., Lechler, A., Wesner, S., Kirstädter, A., Schlechtendahl, J., Schubert, L., & Meier, S. (2013). An approach for a cloud-based machine tool control. Procedia CIRP, 7, 682-687.
31
[31] Villegas, D., Bobroff, N., Rodero, I., Delgado, J., Liu, Y., Devarakonda, A., ... & Parashar, M. (2012). Cloud federation in a layered service model. Journal of computer and system sciences, 78(5), 1330-1344.
32
[32] Wang, X. V., & Xu, X. W. (2013). An interoperable solution for Cloud manufacturing. Robotics and computer-integrated manufacturing, 29(4), 232-247.
33
[33] Wu, D.; Rosen, D.W.; Wang, L.; Schaefer, D. (2014). Cloud-Based Manufacturing: Old Wine in New Bottles?. Procedia CIRP 17: 94 – 99.
34
[34] Wu, D., Rosen, D. W., Wang, L., & Schaefer, D. (2015). Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation. Computer-aided design, 59, 1-14.
35
[35] Wu, D., Terpenny, J., & Gentzsch, W. (2015). Cloud-Based design, engineering analysis, and manufacturing: A cost-benefit analysis. Procedia manufacturing, 1, 64-76.
36
[36] Ren, L., Zhang, L., Wang, L., Tao, F., & Chai, X. (2017). Cloud manufacturing: key characteristics and applications. International journal of computer integrated manufacturing, 30(6), 501-515.
37
[37] Xu, X. (2012). From cloud computing to cloud manufacturing. Robotics and computer-integrated manufacturing, 28(1), 75-86.
38
[38] Zhang, L., Luo, Y. L., Tao, F., Ren, L., & Guo, H. (2010). Key technologies for the construction of manufacturing cloud. Computer integrated manufacturing systems, 16(11), 2510-2520.
39
ORIGINAL_ARTICLE
Office chair design: a systematic approach of ergonomic design based on the anthropometric measurement of Bangladeshi people
The world of ergonomic evaluation considerate the human biomechanics and anthropometric measurement an integral part of product design and development work. In this paper, we have given an attempt to design an ergonomically fitted office chair suitable for Bangladeshi people. In this paper, the anthropometric data analysis has been done in order to determine the necessary dimensions suitable for the office chair. Lastly, an ergonomically fitted office chair is designed based on this anthropometric data analysis. The concept of the paper is to focus on the dimensional changes that the Bangladeshi people need for their comfort in the ergonomic office chair. The structural difference in different regions makes us inspired to think about the office chair ergonomics for Bangladeshi people. In short, this paper reflects the entire process of designing an ergonomic office chair suitable for them.
https://www.riejournal.com/article_63512_025c7203d644ec32eb34c45b7ead6a6c.pdf
2018-09-01
224
234
10.22105/riej.2018.128451.1040
Office chair
Ergonomics
Human factor
Anthropometry
L.
Noshin
labibanoshin28@gmail.com
1
Department of Industrial Engineering and Management, Faculty of Mechanical Engineering, Khulna University of Engineering & Technology, Khulna, Bangladesh
AUTHOR
H.
Sen Gupta
hgupta.ipe.kuet@gmail.com
2
Department of Industrial Engineering and Management, Faculty of Mechanical Engineering, Khulna University of Engineering and Technology, Khulna, Bangladesh.
LEAD_AUTHOR
Md. G.
Kibria
kibria@iem.kuet.ac.bd
3
Department of Industrial Engineering and Management, Faculty of Mechanical Engineering, Khulna University of Engineering and Technology, Khulna, Bangladesh.
AUTHOR
[1] Fryar, C. D., Gu, Q., & Ogden, C. L. (2012). Anthropometric reference data for children and adults: United States, 2007-2010. Vital and health statistics. Series 11, data from the national health survey, (252), 1-48.
1
[2] Subramanian, S. V., Özaltin, E., & Finlay, J. E. (2011). Height of nations: A socioeconomic analysis of cohort differences and patterns among women in 54 low-to middle-income countries. PLoS one, 6(4), e18962.
2
[3] Hedge, A., & Breeuwsma, K. (2008). Chair design beyond gender and age. spine, 6, 7.
3
[4] O Ismaila, S., I Musa, A., B Adejuyigbe, S., & D Akinyemi, O. (2013). Anthropometric design of furniture for use in tertiary institutions in Abeokuta, South-western Nigeria. Engineering review : International journal for publishing of original researches from the aspect of structural analysis, materials and new technologies in the field of mechanical engineering, shipbuilding, fundamental engineering sciences, computer sciences, electrical engin,, 33(3), 179-192.
4
[5] Taifa, I. W., & Desai, D. A. (2017). Anthropometric measurements for ergonomic design of students’ furniture in India. Engineering science and technology, an international journal, 20(1), 232-239.
5
[6] Karmegam, K., Sapuan, S. M., Ismail, M. Y., Ismail, N., Bahri, M. S., Shuib, S., ... & Hanapi, M. J. (2011). Anthropometric study among adults of different ethnicity in Malaysia. International journal of physical sciences, 6(4), 777-788.
6
[7] Lin, Y. C., Wang, M. J. J., & Wang, E. M. (2004). The comparisons of anthropometric characteristics among four peoples in East Asia. Applied ergonomics, 35(2), 173-178.
7
[8] Floyd, W. F., & Roberts, D. F. (1958). Anatomical and physiological principles in chair and table design. Ergonomics, 2(1), 1-16.
8
[9] Horton, S. J., Johnson, G. M., & Skinner, M. A. (2010). Changes in head and neck posture using an office chair with and without lumbar roll support. Spine, 35(12), E542-E548.
9
[10] Groenesteijn, L., Vink, P., de Looze, M., & Krause, F. (2009). Effects of differences in office chair controls, seat and backrest angle design in relation to tasks. Applied ergonomics, 40(3), 362-370.
10
[11] Coleman, N., Hull, B. P., & Ellitt, G. (1998). An empirical study of preferred settings for lumbar support on adjustable office chairs. Ergonomics, 41(4), 401-419.
11
[12] Mrotz III, W. C. (1991). U.S. Patent No. 5,015,038. Washington, DC: U.S. Patent and Trademark Office.
12
[13] Mathews, M. K., & Weber, J. A. (1991). U.S. Patent No. 5,035,466. Washington, DC: U.S. Patent and Trademark Office.
13
[14] Heidmann, C. (1991). U.S. Patent No. 4,981,326. Washington, DC: U.S. Patent and Trademark Office.
14
[15] Hand, R. S., Pekar, R. W., & Weber, J. A. (1999). U.S. Patent No. 5,902,011. Washington, DC: U.S. Patent and Trademark Office.
15
[16] Bergsten, J. D., & Bergsten, D. A. (1994). U.S. Patent No. 5,281,001. Washington, DC: U.S. Patent and Trademark Office.
16
[17] Kvalheim, A. M., & Pedersen, F. M. (1988). U.S. Patent No. 4,765,684. Washington, DC: U.S. Patent and Trademark Office.
17
[18] Rückstädter, H. (2004). U.S. Patent No. 6,824,219. Washington, DC: U.S. Patent and Trademark Office.
18
ORIGINAL_ARTICLE
Difference divisor graph of the finite group
Let (Zn, +) be a finite group of integers modulo n and Dn a non-empty subset of Zn containing proper devisors of n. In this paper, we have introduced the difference divisor graph Diff (Zn, Dn) associated with Zn whose vertices coincide with Zn such that two distinct vertices are adjacent if and only if either a-b belongs to Dn or b-a belongs to Dn . We have investigated its algebraic and graph theoretic properties. Further, we have proved that the difference divisor graph Diff (Zn, Dn) is not a Cayley graph.
https://www.riejournal.com/article_69250_1d00716160a19ba1d9e33ac758593c00.pdf
2018-09-01
235
242
10.22105/riej.2018.133136.1042
Divisor graph
Difference divisor graph
Hamilton cycle
GCD-Graph
Cayley graph
R.
V M S S Kiran Kumar
rsai.maths@gmail.com
1
Department of Mathematics, Sree Vidyanikethan Engineering College, Tirupati, -517502, Andhra Pradesh, India.
LEAD_AUTHOR
T.
Chalapathi
chalapathi.tekuri@gmail.com
2
Department of Mathematics, S. V. University, Tirupati, -517502, Andhra Pradesh, India.
AUTHOR
[1] Singh, G. S., & Santhosh, G. (2000). Divisor graphs-I. preprint.
1
[2] Kannan, K., Narasimhan, D., & Shanmugavelan, S. (2015). The graph of divisor function () D n. International journal of pure and applied mathematics, 102, 483-494.
2
[3] Beck, I. (1988). Coloring of commutative rings. Journal of algebra, 116(1), 208-226.
3
[4] Anderson, D. F., & Livingston, P. S. (1999). The zero-divisor graph of a commutative ring. Journal of algebra, 217(2), 434-447.
4
[5] Chalapathi, T., Madhavi, L., & Venkataramana, S. (2013). Enumeration of triangles in a divisor Cayley graph. Momona ethiopian journal of science, 5(1), 163-173.
5
[6] Chen, W. K. (1997). Graph theory and its engineering applications (Vol. 5). World Scientific Publishing Company.
6
[7] Dörfler, F., Simpson-Porco, J. W., & Bullo, F. (2018). Electrical networks and algebraic graph theory: Models, properties, and applications. Proceedings of the IEEE (pp. 977-1005). IEEE.
7
[8] El-Basil, S. (2008). Combinatorial properties of graphs and groups of physico-chemical interest. Combinatorial chemistry & high throughput screening, 11(9), 707-722.
8
[9] Kelarev, A. V., & Quinn, S. J. (2004). A combinatorial property and power graphs of semigroups. Commentationes mathematicae universitatis carolinae, 45(1), 1-7.
9
[10] Klotz, W., & Sander, T. (2007). Some properties of unitary Cayley graphs. The electronic journal of combinatorics, 14(1), 45.
10
[11] Madhavi, L. (2002). Studies on domination parameters and enumeration of cycles in some arithmetic graphs (Doctoral theses, Sri Venkateswara University, Tirupati, India). Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/174616
11
[12] Chalapathi, T., & V M S S Kiran Kumar, R. (2017). Order divisor graphs of finite groups. Malaya journal of matematik, 5(2), 464–474.
12
[13] Biggs, N., Biggs, N. L., & Biggs, E. N. (1993). Algebraic graph theory (Vol. 67). Cambridge university press.
13
[14] Apostol, T. M. (2013). Introduction to analytic number theory. Springer Science & Business Media.
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[15] Bertram, E. A. (1983). Some applications of graph theory to finite groups. Discrete mathematics, 44(1), 31-43.
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[16] Chartrand, G., Lesniak, L., & Zhang, P. (2010). Graphs & digraphs. Chapman and Hall/CRC.
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[17] Cayley, P. (1878). Desiderata and suggestions: No. 2. The Theory of groups: graphical representation. American journal of mathematics, 1(2), 174-176.
17
[18] Steinhardt, J. (2007). Cayley graphs formed by conjugate generating sets of Sn. Cornel university library, 1-22.
18
[19] Bondy, A., & Murty, M. R. (2007). Graph Theory. London: Springer.
19
ORIGINAL_ARTICLE
Ultrasonic testing for mechanical engineering domain: present and future perspective
Ultrasonic testing uses high frequency sound waves of a range between 0.5 to 15 MHz to conduct testing. The basic principle and applications of ultrasonic testing techniques is enormous use under the domain of mechanical engineering applications. Importance of ultrasonic testing of rails, train wheels, carbon fiber reinforced plastic, aeronautical defects in composite structures, testing of welds, and some other applications are increasing day by day. Literature survey reveals that it is a challenging task for practitioners and researchers to increase the efficiency of non-destructive testing techniques for identifying and localization defects in different mechanical engineering components/parts. Basic fundamentals applications of ultrasonic testing of metal, non-metal, ceramics, polymers, concrete, etc. are briefly explained. Present and future perspective of ultrasonic testing for mechanical engineering domain are discussed along with the sub new development in the area of ultrasonic testing.
https://www.riejournal.com/article_57275_526b7570899cddc0be2587ddcf1ab9f0.pdf
2018-09-01
243
253
10.22105/riej.2018.100730.1018
Ultrasonic test
Non-Destructive Testing (NDT)
Carbon Fiber Reinforced Plastic (CFRP)
Glass Fiber Reinforced Plastic (GFRP)
Composites
A.
Sharma
16mma006@smvdu.ac.in
1
Department of Mechanical Engineering, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India-182320.
AUTHOR
A.
Sinha
amitsinha5050@gmail.com
2
Department of Mechanical Engineering, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir India-182320.
LEAD_AUTHOR
[1] Ahmed, K. S., Vijayarangan, S., & Kumar, A. (2007). Low velocity impact damage characterization of woven jute—glass fabric reinforced isothalic polyester hybrid composites. Journal of reinforced plastics and composites, 26(10), 959-976.
1
[2] Hassen, A. A., Taheri, H., & Vaidya, U. K. (2016). Non-destructive investigation of thermoplastic reinforced composites. Composites part B: Engineering, 97, 244-254.
2
[3] Katunin, A., Dragan, K., & Dziendzikowski, M. (2015). Damage identification in aircraft composite structures: A case study using various non-destructive testing techniques. Composite structures, 127, 1-9.
3
[4] Armitage, P. R., & Wright, C. D. (2013). Design, development and testing of multi-functional non-linear ultrasonic instrumentation for the detection of defects and damage in CFRP materials and structures. Composites science and technology, 87, 149-156.
4
[5] Bairagi, M., Sinha, A., & Anand, A. (2016). Guillotine side trimming shear machine: A case study of plate mill in Bhilai steel plant. Engineering solid mechanics, 4(4), 226-234.
5
[6] Bates, D., Smith, G., Lu, D., & Hewitt, J. (2000). Rapid thermal non-destructive testing of aircraft components. Composites part B: Engineering, 31(3), 175-185.
6
[7] Beilken, D., & Hinken, J. H. (2005). Fibre reinforced plastic: A feasibility study of microwave based non-destructive testing. Journal of nondestructive testing, 10(10), 1-1.
7
[8] Kamsu-Foguem, B. (2012). Knowledge-based support in non-destructive testing for health monitoring of aircraft structures. Advanced engineering informatics, 26(4), 859-869.
8
[9] Carvalho, A. A., Rebello, J. M. A., Souza, M. P. V., Sagrilo, L. V. S., & Soares, S. D. (2008). Reliability of non-destructive test techniques in the inspection of pipelines used in the oil industry. International journal of pressure vessels and piping, 85(11), 745-751.
9
[10] Chassignole, B., El Guerjouma, R., Ploix, M. A., & Fouquet, T. (2010). Ultrasonic and structural characterization of anisotropic austenitic stainless steel welds: Towards a higher reliability in ultrasonic non-destructive testing. NDT & E international, 43(4), 273-282.
10
[11] Garnier, C., Pastor, M. L., Eyma, F., & Lorrain, B. (2011). The detection of aeronautical defects in situ on composite structures using non-destructive testing. Composite structures, 93(5), 1328-1336.
11
[12] Czigany, T. (2004). An acoustic emission study of flax fiber-reinforced polypropylene composites. Journal of composite materials, 38(9), 769-778.
12
[13] Cernadas, D., Trillo, C., Doval, Á. F., López, Ó., López, C., Dorrío, B. V., ... & Pérez-Amor, M. (2006). Non-destructive testing of plates based on the visualisation of Lamb waves by double-pulsed TV holography. Mechanical systems and signal processing, 20(6), 1338-1349.
13
[14] El Guerjouma, R., Baboux, J. C., Ducret, D., Godin, N., Guy, P., Huguet, S., ... & Monnier, T. (2001). Non‐Destructive evaluation of damage and failure of fibre reinforced polymer composites using ultrasonic waves and acoustic emission. Advanced engineering materials, 3(8), 601-608.
14
[15] Sun, G., & Zhou, Z. (2014). Application of laser ultrasonic technique for non-contact detection of drilling-induced delamination in aeronautical composite components. Optik-International journal for light and electron optics, 125(14), 3608-3611.
15
[16] Takada, H., & Hirose, T. (2007). An ultrasonic method for testing spot-welds. Technical report, 10.
16
[17] Zhu, J., Collins, R. P., Boxall, J. B., Mills, R. S., & Dwyer-joyce, R. (2015). Non-destructive in-situ condition assessment of plastic pipe using ultrasound. Procedia engineering, 119, 148-157.
17
[18] Le, M., Jun, J., Kim, J., & Lee, J. (2013). Nondestructive testing of train wheels using differential-type integrated Hall sensor matrixes embedded in train rails. NDT & E international, 55, 28-35.
18
[19] Mulhauser, O. (1931). German patent specification.
19
[20] Peng, P. C., Chi, J. H., & Cheng, J. W. (2016). A study on behavior of steel structures subjected to fire using non-destructive testing. Construction and building materials, 128, 170-175.
20
[21] Vipparthy, S. T., Madhu, C. V., Ramakrishna, G. G., & Bunyan, V. J. (2015). Inspection of rails using interface of ultrasonic testing. International journal of mechanical engineering and robotics research, 4(1), 176.
21
[22] Iyer, S., Sinha, S. K., Pedrick, M. K., & Tittmann, B. R. (2012). Evaluation of ultrasonic inspection and imaging systems for concrete pipes. Automation in construction, 22, 149-164.
22
[23] Sinha, A. K., & Kim, D. Y. (2013). Laser welding quality monitoring using plasma, back reflection and temperature signals based on Dempster-Shafer theory. Korean journal of computational design and engineering, 240-242.
23
[24] Sinha, A. K., Kim, D. Y., & Ceglarek, D. (2013). Correlation analysis of the variation of weld seam and tensile strength in laser welding of galvanized steel. Optics and lasers in engineering, 51(10), 1143-1152.
24
[25] Sokolov, S. J. (1935). Ultrasonic oscillations and their applications. Technical physics of the USSR, 2, 522-534.
25
[26] Tabatabaeipour, M., Hettler, J., Delrue, S., & Van Den Abeele, K. (2015). Nondestructive ultrasonic inspection of friction stir welds. Physics procedia, 70, 660-663.
26
[27] Segreto, T., Bottillo, A., & Teti, R. (2016). Advanced ultrasonic non-destructive evaluation for metrological analysis and quality assessment of impact damaged non-crimp fabric composites. Procedia CIRP, 41, 1055-1060.
27