Hasil Pencarian  ::  Simpan CSV :: Kembali

"Supply chain management is one of compony's success key to survive in growing business environments where competition is increasing rapidly. improving the company's supply chain management is needed in order to sustain business in this environment. The first step to improving it is by measure its performance. The existing performance measurement methods fail to provide its necessary support in strategy development, decision making and performance improvement. This research attempts to propose a performance measurement method appropriate with company's condition and all aspect related to supply chain management. The research used fuzzy set theory to accommodate uncertainties and fuziness in measurement process and the process-based model to create the measurement hierarchy. Meanwhile, typical performance measurement is used to compare the results between two methods. The research was used to measure the supply chain management performance in point manufacturing and the result reveals that the supply chain management in point manufacturing has 3 levels, 5 Core Process, 17 Sub Process, and 31 Performance Measure. The measurement process itself given the score 8,44 for the supply chain management as a whole."

"This book provides a self-contained introduction to modern set theory and also opens up some more advanced areas of current research in this field. The first part offers an overview of classical set theory wherein the focus lies on the axiom of choice and Ramsey theory. In the second part, the sophisticated technique of forcing, originally developed by Paul Cohen, is explained in great detail. With this technique, one can show that certain statements, like the continuum hypothesis, are neither provable nor disprovable from the axioms of set theory. In the last part, some topics of classical set theory are revisited and further developed in the light of forcing. The notes at the end of each chapter put the results in a historical context, and the numerous related results and the extensive list of references lead the reader to the frontier of research. "

"Bioconsensus is a rapidly evolving scientific field in which consensus methods, often developed for use in social choice theory, are adapted for such areas of the biological sciences as taxonomy, systematics, and evolutionary and molecular biology. Typically, after several alternatives are produced using different data sets, methods or algorithms, one needs to find a consensus solution. The axiomatic approach of this book explores the existence or nonexistence of consensus rules that satisfy particular sets of desirable well-defined properties. The axiomatic research reviewed here focuses first on the area of group choice, then in areas of biomathematics where the objects of interest represent partitions of a set, hierarchical structures, phylogenetic trees, or molecular sequences. Axiomatic Consensus Theory in Group Choice and Biomathematics provides a unique comprehensive review of axiomatic consensus theory in biomathematics as it has developed over the past 30 years. Established here are the theory's basic results using standard terminology and notation and with uniform attention to rigor and detail. This book cites both traditional and current literature and poses open problems that remain to be solved. The bibliographic notes in each chapter place the described work within a general context while providing useful pointers to relevant research. The bibliographic references are a valuable resource for both students and experts in the field."