Operations management: A quantitative approach / by P.B Mahapatra

contents📜
PART 1: SIMPLE OPERATIONS REASEARCH MODELS;
1. management of production system;
-production system and its management;
-classical, behavioral and management;
-tasks of a production manager;
-models for managerial decision making;
-organization of the chapters;
bibliography;
2. linear programming;
-introduction;
-canonical for of LP problems;
-standard form of LP problems;
-basic feasible solutions;
-the simplex method of solution;
-tabular method;
-constraints with > sign
-the problem of minimization;
3. transportation and assignments models;
-introduction;
-transportation models;
-method of solution;
_starting solution;
_checking for optimality of solution;
_improving upon the current solutions;
4. dynamic optimization models;
-introduction;
-characteristics of queuing system;
-steady state birth and death equations for a Markovian queue;
-single channel queue;
-multi channel queue;
PART 2: QUANTITATIVE AND BEHAVIOUR MODELS FOR MANAGERIAL DECISION MAKING;
6. product design and development;
-introduction;
-identification of customer need ;
-establishment of targeting needs;
-concept generation;
-concept selection;
-concept targeting;
-detail design;
-economic factors in design;
-what is value analysis;
-checklist for value analysis;
-variety reduction;
-design for safety;
7. forecasting;
-introduction;
-time series analysis;
-simple moving average;
-weighted moving average;
-simple exponential smoothing with trend correction;
-linear regression;
-accuracy of forecasting;
-forecasting under seasonal environment;
-exponential smoothing with seasonality;
-exponential smoothing for demand with trend;
-decomposition algorithm;
-monitoring of forecast errors;
-casual methods;
-regression analysis;
-the Delphi method;
8. capacity analysis;
-introduction;
-engineering economics;
-project evaluation;
-decision theory for investment decisions;
-the pay-off matrix;
-criterion for selection of strategy;
-decision tree;
-value of information in decision making;
-expected return as a criterion for evaluation;
-linear programming fore capacity analysis;
-queuing theory for capacity analysis;
-aggregate planning;
-linear programming for aggregate planning;
-linear decision rule;
9. facility location and layout;
-introduction;
-single facility location;
-squared Euclidian problem;
-the problem of rectilinear distance;
-the problem of Euclidean distance;
-multi-facility location;
-minimax location problem;
-the problem of covering;
-transportation model for the addition of new facilities;
-layout of physical facilities;
-process layout (functional layout);
-product layout(line layout);
-product and process layouts compared;
-group layout;
- the quadratic assignment model;
-factors other than material handling which affect the layout;
10. balancing pf assembly lines;
-introduction;
-precedence requirements of operations;
-methods of solution;
-the real problem;
11. project management;
-introduction;
-events and activities in a project;
-arrow diagrams for a projects;
-program evaluation and review techniques;
-critical path method;
-time cost relation;
-resources allocation and smoothing;
-resource smoothing;
-project scheduling with limited resources;
12.inventory control;
-introduction;
-parameters of an inventory policy;
-costs associated with inventory policy;
-deterministic inventory model;
-simple EOQ model;
model for finite production rate;
-model for instantaneous production with finite shortage cost;
-model for finite production rate when shortage is allowed;
-EOQ model with price break;
13. dynamic inventory models;
-introduction;
-network representation of dynamic inventory models;
-unbounded planning horizon;
-unlimited production and shortage capacities;
14. materials requirement planning;
-introduction;
-objectives of MRP system;
-inputs to the MRP system ;