The main aim of the present book is to suggest some improved estimators using auxiliary and attribute information in case of simple random sampling and stratified random sampling and some inventory models related to capacity constraints. This volume is a collection of five papers, written by six co-authors (listed in the order of the papers): Dr. Rajesh Singh, Dr. Sachin Malik, Dr. Florentin Smarandache, Dr. Neeraj Kumar, Mr. Sanjey Kumar & Pallavi Agarwal. In the first chapter authors suggest an estimator using two auxiliary variables in stratified random sampling for estimating population mean. In second chapter they proposed a family of estimators for estimating population means using known value of some population parameters. In Chapter third an almost unbiased estimator using known value of some population parameter(s) with known population proportion of an auxiliary variable has been used. In Chapter four the authors investigates a fuzzy economic order quantity model for two storage facility. The demand, holding cost, ordering cost, storage capacity of the own - warehouse are taken as trapezoidal fuzzy numbers. In Chapter five a two-warehouse inventory model deals with deteriorating items, with stock dependent demand rate and model affected by inflation under the pattern of time value of money over a finite planning horizon. Shortages are allowed and partially backordered depending on the waiting time for the next replenishment. The purpose of this model is to minimize the total inventory cost by using the genetic algorithm. This book will be helpful for the researchers and students who are working in the field of sampling techniques and inventory control.

In this paper, we suggest an estimator using two auxiliary variables in stratified random sampling following Malik and Singh [12]. The propose estimator has an improvement over mean per unit estimator as well as some other considered estimators. Expressions for bias and MSE of the estimator are derived up to first degree of approximation. Moreover, these theoretical findings are supported by a numerical example with original data.

Fuzzy set theory is primarily concerned with how to quantitatively deal with imprecision and uncertainty, and offers the decision maker another tool in addition to the classical deterministic and probabilistic mathematical tools that are used in modeling real-world problems. The present study investigates a fuzzy economic order quantity model for two storage facility.

Issues in Aerospace and Defense Research and Application: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Aerospace Research. The editors have built Issues in Aerospace and Defense Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Aerospace Research in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Aerospace and Defense Research and Application: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

This scoping paper analyzes the governance of trade in timber-producing species regulated by CITES (the Convention on International Trade in Endangered Species of Wild Fauna and Flora) in light of the Convention’s increasing relevance as a tool to control transnational timber trade. The CITES regulatory framework is outlined as it relates to tree species, along with the compliance mechanisms developed to build range state capacity for implementing trade controls in relation to tropical timber species and to apply sanctions to countries that fail to take recommended action to resolve implementation problems. The study describes stricter domestic measures developed by consumer countries, most notably the EU, to control imports of CITES-listed species, including trees, as well as additional regulatory frameworks designed by importing countries to exclude illegal timber from their markets. It also examines the implications for CITES of regional economic integration given the Convention’s dependence on national border controls, with a focus on experience in the EU and trends in Asia. Key findings from three case studies of how CITES has approached governance of trade in valuable timber-producing species – ramin (Gonystylus spp.) from Asia, afrormosia (Pericopsis elata) from Central and West Africa and bigleaf mahogany (Swietenia macrophylla) from Latin America – are presented and other potential case studies identified. The study concludes by identifying priority areas where further research could contribute towards catalyzing positive change to strengthen the governance of transnational timber trade, and ultimately towards the survival of tree species traded illegally and unsustainably.

Stock management and control is a critical element to the success and overall financial well-being of an organization. Through the application of innovative practices and technology, businesses are now able to effectively monitor their operations and manage their inventory by evaluating sales patterns and customer preferences. Optimal Inventory Control and Management Techniques explores emergent research in stock management and product control within organizations. Featuring diverse perspectives on the implementation of various optimization techniques, genetic algorithms, and datamining concepts, as well as research on big data applications for inventory management, this publication is a comprehensive reference source for practitioners, educators, and researchers in the fields of logistics, operations management, and retail management.