Naval Research Logistics Quarterly. Volume 18, Number 4


Book Description

Contents: Control variable methods in the simulation of a model of a multiprogrammed computer system; Models for multi-item continuous review inventory policies subject to constraints; The bottleneck transportation problem; Some remarks on the time transportation problem; Integer points on the Gomory fractional cut (hyperplane); Determining the most vital link in a flow network; Optimal location of a single service center of certain types; Scheduling with earliest start and due date constraints; Large deviation probabilities for order statistics; A bivariate normal theory maximum-likelihood technique when certain variances are known; On the use of standard tables to obtain Dodge-Romig LTPD sampling inspection plans; A model for manpower productivity during organization growth; On models for business failure data; A note of a comparison of confidence interval techniques in truncated life tests.




Naval Research Logistics Quarterly. Volume 18, Number 2


Book Description

;Contents: Operations analysis during the underwater search for Scorpion; Optimum sequential search with discrete locations and random acceptance errors; Information in two-stage programming under uncertainty; Optimal control of multi-channel service systems; The transportation paradox; A backward recursive technique for optimal dequential sampling plans; The interface of computer science and statistics; Statistical concepts in computational mathematics; Extended iterative weighted least squares: estimation of a linear model in the presence of complications; The lower bounded and partial upper bounded distribution model; Hit probability for a chain-like series of shots--a simple formula.




Naval Research Logistics Quarterly. Volume 18, Number 1


Book Description

;Contents: Tree-search algorithms for quadratic assignment problems; Optimal interdiction policy for a flow network; (0,1) Hyperbolic programming problems; Application of the GLM technique to a production planning problem; Sequencing many jobs on a multi-purpose facility; Location of facilities with Rectangular distances among point and area destinations; A technique which combines modified pattern search methods with composite designs and polynomial constraints to solve constrained optimization problems; Finite statistical games and linear programming; On queues with state-dependent Erlang service; Asymptotic inference about a density function at an end of its range; Optimal policies for a multi-echelon inventory system with demand forecasts; Simulation of multi-echelon macro-inventory policies.




Naval Research Logistics Quarterly. Volume 18, Number 3


Book Description

;Contents: Elimination methods in the mXn sequencing problem; The fractional fixed-charge problem; A hybrid algorithm for the one machine sequencing problem to minimize total tardiness; On a sequential rule for estimating the location parameter of an exponential distribution; A graph theoretic interpretation of the sufficiency conditions for the contiguous-binary-switching (CBS); Allocation of carrier-based attack aircraft using non-linear programming; Dynamic programming approach to the optimization of naval aircraft rework and replacement policies; A note on a first application of clustering procedures to fleet material condition measurements; A note on adaptive boiler tube pulling; A note on a stochastic production-maximizing transportation problem.











Book Description

"Facilities Design" covers modeling and analysis of the design, layout and location of facilities. It also covers design and analysis of materials handling.




Linear-Fractional Programming Theory, Methods, Applications and Software


Book Description

This is a book on Linear-Fractional Programming (here and in what follows we will refer to it as "LFP"). The field of LFP, largely developed by Hungarian mathematician B. Martos and his associates in the 1960's, is concerned with problems of op timization. LFP problems deal with determining the best possible allo cation of available resources to meet certain specifications. In particular, they may deal with situations where a number of resources, such as people, materials, machines, and land, are available and are to be combined to yield several products. In linear-fractional programming, the goal is to determine a per missible allocation of resources that will maximize or minimize some specific showing, such as profit gained per unit of cost, or cost of unit of product produced, etc. Strictly speaking, linear-fractional programming is a special case of the broader field of Mathematical Programming. LFP deals with that class of mathematical programming problems in which the relations among the variables are linear: the con straint relations (i.e. the restrictions) must be in linear form and the function to be optimized (i.e. the objective function) must be a ratio of two linear functions.




Intelligent Decision Making: An AI-Based Approach


Book Description

Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intelligence and network-centric environments that can deliver the technology. Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to a human decision maker. At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications. This book includes contributions from leading researchers in the field beginning with the foundations of human decision making and the complexity of the human cognitive system. Researchers contrast human and artificial intelligence, survey computational intelligence, present pragmatic systems, and discuss future trends. This book will be an invaluable resource to anyone interested in the current state of knowledge and key research gaps in the rapidly developing field of intelligent decision support.




Disaggregation


Book Description

This volume is intended to expand the dialogue and interest among both practitioners and academicians in a problem area worthy of attention by all. The concept of disaggregation admits to our current inability to solve many types of interrelated hierarchical problems simultaneously. It offers instead a sequential, iterative process as a workable and necessary procedure. The papers in this volume are selected from those presented at a Disaggregation Conference held in March, 1977 at The Ohio State University. We heartily applaud all those who participated in the conference and particularly appreci ate the cooperation of those authors whose work is published in this collection. Part A contains four papers which define the various dimensions of disaggregation. The paper by Martin Starr, which was the text of his luncheon address at the conference, provides several interesting perspectives to the problem. Although disaggregation suggests tear ing apart, as Professor Starr illustrates with his butterfly example, it also suggests a putting together or a synthesis which recognizes interrelationships and dependencies. The next paper by Lee Kra jewski and Larry Ritzman offers a general model of disaggregation for both the manufacturing and service sectors. After reading the papers in this section, as well as the papers in subsequent sections, you will identify other dimensions to hierarchical decision making which go beyond this generalized model.