  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.
