An integrated system for capacity planning and facility layout

In order to achieve efficient facility design for service type activities, operating under dynamic conditions and a large number of constraints, the use of a traditional approach has proved to be tedious and time consuming. Development of an efficient decision support system for such a situation calls for the consideration of the complex nature of interaction between the system parameters and the relationship between the working environment and the resources within the system. Mathematical programming techniques, e.g. linear and integer programming as well as queuing models, though useful in handling combinatorial optimization problems, are incapable of dealing with stochastic utilization problems normally encountered in the design of facilities of a fast changing environment. This paper makes use of a pattern search algorithm for the optimal allocation of service facility resources. The layout of the facilities has then been optimized by the use of the CLASS algorithm. The two separate algorithms have suitably been integrated together into a single simulation-based system. The effectiveness of the proposed methodology has been demonstrated by means of a real case study pertaining to design and layout optimization of a multi-functional gasoline service station in Bangkok.     

Canada Wide Standard for Particulate Matter and Ozone: Cost-Benefit Analysis Using a Life Quality Index

The adverse impacts of particulate air pollution and ground-level ozone on public health and the environment have motivated the development of Canada Wide Standards (CWS) on air quality. In cost-benefit analysis of air-quality options, valuation of reduction in mortality is a critical step as it accounts for almost 80% of the total benefits and any bias in its evaluation can significantly skew the outcome of the analysis. The overestimation of benefits is a source of concern since it has the potential of diverting valuable resources from other needs to support broader health care objectives, education, and social services that contribute to enhanced quality of life. We have developed a framework of reasoning for the assessment of risk-reduction initiatives that would support the public interest and enhance safety and quality of life. This article presents the Life Quality Index (LQI) as a tool to quantify the level of expenditure beyond which it is no longer justifiable to spend resources in the name of safety. It is shown that the LQI is a compound social indicator comprising societal wealth and longevity, and it is also equivalent to a utility function consistent with the basic principles of welfare economics and decision analysis. The LQI approach overcomes several shortcomings of the method used by the CWS Development Committee and provides guidance on the compliance costs that can be justified to meet the Standards.     

Shrinkage estimation of scale in exponential distribution from censored samples

In this paper some shrunken and pretest shrunken estimators are suggested for the scale parameter of an exponential distribution, when observations become available from life test experiments. These estimators are shown to be more efficient than the usual estimator when a guessed value is nearer to the true value.     

Path to Poverty Alleviation: Marriage or Postsecondary Education?

We examined the role of human capital in determining economic well-being and marital status of mothers with children. We analyzed 1996 data from the Survey of Income and Program Participation (SIPP), a nationally representative survey of 36,700 American households conducted by the Census Bureau. The results indicate that among the human capital variables postsecondary education significantly improves the economic well-being of mothers irrespective of their marital status. Also, educated mothers are more likely to be married. These findings are especially relevant as we debate the importance of marriage in poverty alleviation.

Optimality of ratio type estimation methods for population mean in the presence of missing data

This article proposes various Searls-type ratio imputation methods (STRIM) on the lines of Ahmed et al. (2006 Ahmed, M. S., O. Al-Titi, Z. Al-Rawi, and W. Abu-Dayyeh. 2006. Estimation of a population mean using different imputation methods. Stat. Trans. 7 (6):1247–1264. [Google Scholar]). It is a well-known fact that the optimal ratio type estimator attains the MSE of regression estimator (or optimal difference estimator) but while using Searls-type transformation (STT) (Searls (1964 Searls, D. T. 1964. The utilization of a known coefficient of variation in the estimation procedure. J. Am. Stat. Assoc. 59:1225–1226.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar])) this may not always happen. These STRIM are shown to perform better than the imputation procedures of Ahmed et al. (2006 Ahmed, M. S., O. Al-Titi, Z. Al-Rawi, and W. Abu-Dayyeh. 2006. Estimation of a population mean using different imputation methods. Stat. Trans. 7 (6):1247–1264. [Google Scholar]). The STRIM may even outperform the Searls type difference imputation methods (STDIM) proposed by us in our earlier work, Bhushan and Pandey (2016 Bhushan, S., and A. P. Pandey. 2016. Optimal imputation of the missing data for estimation of population mean. Journal of Statistics and Management System 19 (6):755–69.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]). This study is concluded with the numerical study along with the theoretical comparison.     

Do incentives matter? – Evaluation of a family planning program in India

Indian Family Planning programs in the past haveintroduced a number of approaches such as providingmonetary benefits, and motivational programs toimprove contraceptive use among rural illiteratewomen. Under the Ammanpettai family welfare program,the Melatur PHC administered three program typesinvolving a combination of monetary and motivationalapproaches to improve contraceptive use in threetreatment areas. The program was introduced duringJanuary 1989 and was simultaneously discontinued aftera period of two years. The present evaluation wasconducted in 1994. Data from a random sample of 933non-sterilized women at the time of social surveyusing a questionnaire approach is used in this study. The implementation of incentive programs in asocio-economically homogenous population has resultedin an increase in the likelihood of current ofcontraceptive use. The results of this study suggestthat motivational programs are more likely to improvelong term use of temporary family planning methodsthan cash incentive programs. One implication of ourfinding is that motivational programs should provide peer based family planning education and training incommunity work to contact persons who make door todoor visits to promote family planning programs.     

Shared inverse Gaussian frailty models based on additive hazards

Frailty models are used in the survival analysis to account for the unobserved heterogeneity in individual risks to disease and death. To analyze the bivariate data on related survival times (e.g., matched pairs experiments, twin, or family data), the shared frailty models were suggested. These models are based on the assumption that frailty acts multiplicatively to hazard rate. In this article, we assume that frailty acts additively to hazard rate. We introduce the shared inverse Gaussian frailty models with three different baseline distributions, namely the generalized log-logistic, the generalized Weibull, and exponential power distribution. We introduce the Bayesian estimation procedure using Markov chain Monte Carlo technique to estimate the parameters involved in these models. We apply these models to a real-life bivariate survival dataset of McGilchrist and Aisbett (1991 McGilchrist, C.A., Aisbett, C.W. (1991). Regression with frailty in survival analysis. Biometrics 47:461–466.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) related to the kidney infection data, and a better model is suggested for the data.     

A cost-effective computational approach with non response on two occasions

Abstract

The present study is an attempt to equip a strategy with a cost-effective computational approach when non response is present under two occasion sampling. We have applied our computational cost strategy over Choudhary et al. (2004 Choudhary, R. K., H. V. L. Bathla, and U. C. Sud. 2004. On non-response in sampling on two occasions. Journal of the Indian Society of Agricultural Statistics 58(3):331–43. [Google Scholar])’s non response setup for fixed precision and evaluated cost. In addition, we have also computed variance for some fixed cost. We have discussed the aforementioned procedure for three cases as when there is non response present on both occasions, first occasion and second occasion. A numerical illustration is demonstrated for validation of improved cost methodology where we also work out with optimum unmatched or matched fraction while Choudhary et al. (2004 Choudhary, R. K., H. V. L. Bathla, and U. C. Sud. 2004. On non-response in sampling on two occasions. Journal of the Indian Society of Agricultural Statistics 58(3):331–43. [Google Scholar]) do not provide the direct optimal result.     

E-Mailed Prompts and Feedback Messages to Reduce Energy Consumption: Testing Mechanisms for Behavior Change by Employees at a Green University

E-mail is a common mechanism for communication within organizations. Extending prior research on effects of informational messages on behavior change, the present study evaluated effects of e-mailed prompts and feedback on energy consumption at a green university. A nonconcurrent multiple baseline design was used to evaluate the effects of messages to occupants of 5 campus buildings over a period of 12 weeks. Energy consumption changes were tracked using the university’s energy dashboard. Results and implications for further research and organizational behavior change efforts are discussed.