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Current Issue [Vol. 04, No. 05] [May 2018]


Paper Title :: Transmuted Inverse Exponential Software Reliability Model
Author Name :: Nikolay Pavlov || Anton Iliev || Asen Rahnev || Nikolay Kyurkchiev
Country :: Bulgaria
Page Number :: 01-06
In this paper we study the Hausdorff approximation of the Heaviside step function hr (t) by sigmoidal curve model based on the transmuted inverse exponential software reliability model and find an expression for the error of the best approximation. Some comparisons are made
[1] Oguntunde, P., A. Adejumo, E. Owoloko, On the flexibility of the transmuted inverse exponential distribution, Proc. of the World Congress on Engineering, Juli 5–7, 2017, London, U.K., vol. 1, 2017
[2] Shaw, W., I. Buckley, The alchemy of probability distributions: Beyond Gram–Charlier expansions and a skew–kurtotic–normal distribution from a rank transmutation map, 2009, Research report.
[3] Khan, M., Transmuted generalized inverted exponential distribution with application to reliability data, Thailand Statistician, 16 (1), 2018, 14–25.
[4] Abouammd, A., A. Alshingiti, Reliability estimation of generalized inverted exponential distribution, J. Stat. Comput. Simul., 79 (11), 2009, 1301–1315.
[5] Ellatal, I., Transmuted generalized inverted exponential distribution, Econom. Qual. Control, 28 (2), 2014, 125–133.

Paper Title :: An improved simulated annealing algorithm for multiobjective programming problem
Author Name :: Tao Zhang
Country :: China
Page Number :: 07-12
In this paper, an improved SA is presented for solving multiobjective programming problems, in which a new method for computing energy difference is proposed and the external file technology is used. And a set of approximate Pareto optimal solutions for multiobjective programming problem is obtained using the elite strategy. This interactive procedure is repeated until the accurate Pareto optimal solutions of the original problem are found. The experimental results show that the proposed algorithm is a feasible and efficient method for solving multiobjective programming problems.
[1]. S. Kirkpatrick, C.Gelatt, M. Vecchi, Optimization by simulated annealing, Science 220 (1983) 671-680.
[2]. F. Maffioli, Randomized heuristic for NP-hard problem. Advanced School on Stochastic in Combinatorial Optimization, World Scientific, 1987, 760–793.
[3]. B. Suman, P. Kumar, A survey of simulated annealing as a tool for single and multiobjective optimization, Journal of the Operational Research Society 57(2006) 1143–1160
[4]. S. Bandyopadhyay, S. Saha, U. Maulik, K. Deb, A Simulated Annealing Based Multi-objective Optimization Algorithm: AMOSA, IEEE Transaction on evolutionary computation 12(3) (2008) 269-283.
[5]. K. Smith, R. Everson, J. Fieldsend, Dominance measures for multi-objective simulated annealing, in Proceedings of the 2004 IEEE Congress on Evolutionary Computation (CEC'04) 2004 23-30.

Paper Title :: Optimal Green Inventory model to regulate Eco-friendly Environment
Author Name :: W. Ritha || S. Poongodisathiya
Country :: India
Page Number :: 13-16
Environmental sustainability is the study of interaction with the environment to prevent depletion of natural resources and allow for long-term environmental quality. The main aspect of going eco-friendly is about environmental sustainability. Global warming is the major threat to our planet. The reason for global warming is emission of greenhouse gases (GHGs). In this paper describes green inventory model of different social cost to reduce carbon emission strategies to achieve environmental sustainability under carbon-sensitive product. Finally determine optimal order quantity and the total cost of the system. As a result, the paper concludes with a numerical example.
Keywords: Eco-friendly environment, green inventory model, carbon sensitive products, pollution cost, sustainability.
1. Bonney, M., & Jaber, M. Y. (2011). Environmentally responsible inventory models: Non‐classical models for a non‐classical era’. International Journal of Production Economics, 133, 43–53.
2. Bonney, M.,1994, Trends in inventory management. International Journal of Production Economics, 35 (1 - 3), 107 - 114.
3. Bouchery, Y., Ghaffari, A., Jemai, Z., Dallery, Y. (2012). Including sustainability criteria into inventory models, European Journal of operational research, Vol.222, No.2, 229-240.
4. Boustani, A., Sahni, S., Gutowski, T., & Graves, S. (2010). Tire remanufacturing and energy savings. Environmentally Benign Manufacturing Laboratory, Sloan School of Management, MITEI‐1‐h‐2010, MIT Energy Initiative Report Series, MIT: Cambridge.
5. Chaabane,A., Ramudhin, A., Paquet, M. (2012), Design of sustainable supply chains under the emission trading scheme, International Journal of Production Economics, Vol.135, No. 1, 37 - 49

Paper Title :: Vendor-Buyer Model with Imperfect Supply Process and Environmental Impacts
Author Name :: W. Ritha || S. Infancy Vimal Priya
Country :: India
Page Number :: 17-22
One of the most important problems the world is facing today is the environmental pollution, which is continuously increasing and causing severe and irreparable damage to the earth. In an effort the new actions could be taken to reduce the negative impact of human species on the environment. This paper presents an integrated vendor-buyer inventory model for a single-vendor and a single-buyer considering a single item.The purpose of this paper is to investigate the impact of emission costs on the replenishment order sizes and the total profit of a Vendor-Buyer in an imperfect supply process, where the buyer receives the batches containing a percentage of imperfect quality items. In this context, an integrated inventory model with imperfect supply process and emission costs, which are the result of warehousing, waste disposal, packaging and transportation is derived with numerical example.
Keywords: Inventory, Coordinated, imperfect supply, Environmental impacts
[1]. Andriolo, A., Battini, D., Grubbström, R.W., Persona, A., &Sgarbossa, F. (2014). A century of evolution from Harris’sbasic lot size model: Survey and research agenda. InternationalJournal of Production Economics, 155, 16–38.
[2]. Arıkan, E., &Jammernegg,W. (2014). The single period inventory model under dual sourcing and product carbon footprint constraint. International Journal of Production Economics,157, 15–23.
[3]. Battini, D., Persona, A., &Sgarbossa, F. (2014). A sustainableEOQmodel: Theoretical formulation and applications.International Journal of Production Economics, 149, 145–153.
[4]. Benjaafar, S., Li, Y., &Daskin, M. (2010). Carbon footprint and the management of supply chains: Insights from simple models (Working Paper). Minneapolis, MN: University of Minnesota.
[5]. Benjaafar, S., Li, Y., &Daskin, M. (2013). Carbon footprint and the management of supply chains: Insights from simple models. IEEE Transactions on Automation Science andEngineering, 10, 99–116.

Paper Title :: How to Create and Manage a Team to Apply Collaborative Methods in Construction (IPD) in Spain
Author Name :: Miguel Angel Alvarez Perez || Manuel Soler Severino || Eugenio Pellicer
Country :: Spain
Page Number :: 23-33
The Collaborative Methods2 in Construction (Integrated Project Delivery or IPD) are based precisely on a good functioning of the team. IPD is built around it. The formalization of these techniques is still incipient in Spain, very little by little there are beginning some works by applying them, it is necessary that we expand our knowledge to improve the efficiency and productivity of the construction sector in our country, and its successful application spread as it is already doing in others. Construction is an inefficient industry in Spain because it is not developed with collaboration, if we manage to introduce this collaborative methodology, our results will improve.
Keywords: Team, Collaborative Methods, Integrated Project Delivery, IPD
[1]. American Institute of Architects (AIA), AIA Document A201, General Conditions of the Contract for Construction, 2007.
[2]. American Institute of Architects (AIA) California Council, Experiences in Collaboration: On the path to IPD, 9, 2009, AIACC Sacramento, California, USA.
[3]. American Institute of Architects (AIA) California Council, Integrated Project Delivery: An Updated Working Definition, 2014, AIACC Sacramento, California, USA.
[4]. Amabile Teresa, How to kill creativity; Harvard Business Review, September-October 1998.
[5]. Ashcraft Howard W., IPD Teams: Creation, Organization and Management, 2011, Hanson Bridgett LLP, San Francisco, California.

Paper Title :: The model study of the market impact of online takeout for catering industry
Author Name :: Yan Xie || Guohua Chen
Country :: China
Page Number :: 34-39
SWith the popularization of smart phones and the improvement of online payment channels, the OTO business model of catering industry has gradually become a new trend. In recent years, online takeout has been rapidly growing, which has brought great convenience to residents' food and beverage life, which has caused a certain impact on catering industry.We have established a regression analysis model for the impact of the market size of online takeout on catering industry revenue and the impact of online delivery on the revenue of catering industry. Use EVIEWS software the restaurant revenue as the online delivery of the size of the market, online delivery of user size increased with the increase of conclusions, and put forward the catering businesses shall be online take-out seize market opportunities, perimeter take-out platform should perfect service system. The results of model research can provide data analysis for catering industry.
Keywords: online takeout; The restaurant industry; Linear regression; The new retail
[1]. he Chen hui. Catering O2O as an Internet platform to compete for the popularity of the market [N]. Beijing business daily.
[2]. li yingchao. The food delivery market is entering the era of competition [N]. Worker's daily,2015-8-12(6).
[3]. media consulting. Research report on Chinese online catering takeaway market [R].
[4]. Chen wei. Lanzhou online delivery is entering a fast growing period [N]. Lanzhou daily, 2017-2-22(14).
[5]. li wenliang, qiu sanping. Application of unitary linear regression model in economic forecasting [J]. Journal of jiyuan vocational and technical college, 2003,2(2):34-36.

Paper Title :: Cost-Benefit Analysis of Industry Having Duplicate Cold Standby Unit with Different Failure Rate
Author Name :: Indu Rohilla || Jitender Kumar
Country :: India
Page Number :: 40-45
Identical unit in the system play very important role to increase the reliability of the system. But in this situation, the cost of the system becomes very high to hold redundant unit. Idea that the system, having the minimum cost that duplicate unit has taken as cold standby with different failure rate as the failure rate of original unit. Keeping the idea of such system a model is developed having different failure and repair rate of the original and duplicate unit. There is a single server, who play dual role to repair of original as well as duplicate unit whenever required. The time to take repair activity follows negative exponential distribution whereas the distributions of unit are taken as arbitrary with different probability density functions. The expressions of various stochastic measures are analyzed in steady state using semi-Markov process and regenerative point technique. The graphs are sketched for arbitrary values of the parameters to delineate the behavior of some important performance measures to check the efficacy of the system model under such situations.
Keywords: Stochastic Analysis, Duplicate cold-standby, regenerative point, steady state and semi-Markov process.
[1]. Nakagawa T. and Osaki S. [1975]: Stochastic behavior of a two-unit priority standby redundant system with repair, Microelectronics Reliability 14(3), pp. 309-313.
[2]. Gopalan M.N. and Nagarwalla H.E. [1985]: Cost-benefit analysis of a one server two unit cold standby system with repair and age replacement, Microelectronics Reliability Vol. 25, pp. 977-990.
[3]. Singh S.K. and Sriniwas B.[1987]: Stochastic analysis of a two unit cold standby system with preparation time for repair, Microelectronics Reliability 27(1) pp. 55-60.
[4]. Bhardwaj R.K. and Singh Ravinder [2014]: Semi Markov approach for asymptotic performance analysis of a Standby system with server failure, International journal of computer Applications 98(3), pp. 9-14.
[5]. Bhardwaj R. K. and Singh Ravinder [2014]: Steady state behavior of a cold-standby system with server failure and arbitrary repair, replacement and treatment, International Journal of Applied Engineering Research 9(24), pp. 26563-26578.

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