| The objective of this study is to optimize manufacturing systems under multiple objectives. By introducing the concept of multiobjective optimization, optimization analyses of manufacturing systems are made. First, single-product, single-stage manufacturing systems are treated and analyzed. Then, the discussion is extended to multi-product manufacturing systems, and finally to multi-stage manufacturing systems.; As production goals in manufacturing activities to be taken into consideration in this study, three production goals in terms of the production time or production rate, the production cost, and the profit rate are introduced and utilized for multiobjective optimization. Through the study, nonlinear goal programming is mainly applied to multiobjective optimization of machining conditions because of its suitability and flexibility for application to problems considered in this study.; In optimization analyses of single-product, single-stage manufacturing systems, the nondominated solution sets for both unconstrained and constrained optimization are examined. In unconstrained optimization, characteristics and sensitivity of functions of performance measures are discussed, and the concept of optimal machining speeds under multiple objectives is introduced. Also, multiobjective optimization of both machining speed and feed rate is considered.; In optimization analyses of multi-product, single-stage manufacturing systems, first, optimizing machining speeds under fundamental evaluation criteria is examined. Then, multiobjective optimization of the machining condition on manufacturing systems under a GT environment is discussed. In a constrained case, an algorithmic procedure is proposed for obtaining a multiobjective optimal machining condition.; In optimizing analyses of multi-stage manufacturing systems, a basic nonlinear multiobjective (goal-programming) model for the flow-type multi-stage manufacturing system is built and analyzed in an attempt to determine optimal machining conditions to be set on production stages.; Some modification of the nonlinear goal programming via pattern search is made, particularly in exploratory moves for obtaining multiobjective optimal solutions. |
