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Foundations of Family Resource Management uses the lenses of consumer science, management, and economics, and beyond to help students make intelligent decisions about resources, time, and energies at the individual and family level. It has a strong interdisciplinary, global, and multicultural focus.This sixth edition brings in new material on millennials, delayed marriage, household composition, neuroscience, behavioral economics, sustainable consumption, technology, and handling crises. It has been updated in line with the latest census data and academic literature.The text contains lots of features to support student learning, including chapter summaries,'Did You Know?'questions, glossary of key terms, examples and cases, critical thinking activities, and review questions for discussion and reflection. Lecture slides and an instructor manual are available as digital supplements.This textbook meets the standards and criteria for the Certified Family Life Educator (CFLE) designation of the National Council on Family Relations (NCFR) and will be suitable for resource management courses in family and consumer science, human ecology, and human environmental science programs.

Resource Allocation (RA) involves the distribution and utilization of available resources in the system. Because resource availability is usually scarce and expensive, it becomes important to find optimal solutions to such problems. Thus RA problems represent an important class of problems faced by mathematical programmers. This book focuses on development of models and heuristics for six new and complex sub-classes of RA problems in Supply Chain (SC) networks, focusing on bi-objectives, dynamic input data, and multiple performance measures based allocation and integrated allocation, and routing with complex constraints. It considers six set of variants of the RA problems normally encountered in practice but have not yet been studied. These variants of the classical RA are complex and pertaining to both manufacturing and service industry.

Since the late 1940s, linear programming models have been used for many different purposes. Airline companies apply these models to optimize their use of planes and staff. NASA has been using them for years to optimize their use of limited resources. Oil companies use them to optimize their refinery operations. Small and medium-sized businesses use linear programming to solve a huge variety of problems, often involving resource allocation. In my study, a typical product-mix problem in a manufacturing system producing two products (each product consists of two sub-assemblies) is solved for ist optimal solution through the use of the latest versions of MATLAB having the command simlp, which is very much like linprog. As analysts, we try to find a good enough solution for the decision maker to make a final decision. Our attempt is to give the mathematical description of the product-mix optimization problem and bring the problem into a form ready to call MATLAB's simlp command. The objective of this study is to find the best product mix that maximizes profit. The graph obtained using MATLAB commands, give the shaded area enclosed by the constraints called the feasible region, which is the set of points satisfying all the constraints. To find the optimal solution we look at the lines of equal profit to find the corner of the feasible region which yield the highest profit. This corner can be found out at the farthest line of equal profit, which still touches the feasible region. The most critical part is the sensitivity analysis, using Excel Solver, and Parametric Analysis, using computer software, which allows us to study the effect on optimal solution due to discrete and continuous change in parameters of the LP model including to identify bottlenecks. We have examined other options like product outsourcing, one-time cost, cross training of one operator, manufacturing of hypothetical third product on under-utilized machines and optimal sequencing of jobs on machines.

The use of formulae has become widespread in recent years across most developed countries. In the UK, a conservative estimate is that annually £150 billion of public service expenditure is distributed using formulae, in services such as health care, local government, social security and higher education. This book offers a comprehensive introduction to the theory and practice underlying the use of such formulae as a basis for funding public services. The philosophy, design and economic consequences of funding formulae have become key policy issues worldwide. However, till now, there has been no text which brings together the economic, statistical and political issues underlying formula funding. This key book fills that gap. Written by a leading international expert on the design of funding formulae, this important book includes empirical evidence from a range of countries and will be a valuable resource for all those involved in this field.