Planning semi-automated precast production using GA

GA-Based Precast Production Planning System

Appropriate production plans can make resources utilized effectively as well as minimize waste. However, currently most of the precast fabricators propose production plans depending on the rule of thumb, resulting in the squander of resources and postponed delivery. Computerized scheduling techniques provide more precise outcomes than those made manually. The goal of this study is to develop a ...

GA-based decision support systems for precast production planning

Semi-automated Preoperative Resection Planning

(57) ABSTRACT Preoperative resection planning is assisted by a computer. Rather than rely on interpolation of the user input, a graph of interconnections is used. The user inputs one or more polylines on one or more two-dimensional vieWs. The polylines are used to assign resection and remnant seeds With a band of unassigned locations. The 2D seeds are used With the graph of interconnections to ...

Simulation-based Ga Optimization for Production Planning

Effective production planning requires models that are capable of accounting for the complexity and uncertainty intrinsic to manufacturing systems. While the identification of a globally optimal plan is desirable, a more important requirement is the ability of a model to produce production plans that are sufficiently realistic to be implemented in practice and are robust to perturbations in the...

A Multi-Heuristic GA for Schedule Repair in Precast Plant Production

A multi-heuristic schedule repair model for schedule conflict resolution is presented and its application in repairing the schedules of a prefabrication plant is described in this paper. The model combines heuristic strategies with Genetic Algorithms to repair schedules with resource constraints. The GA determines the “best” sequence of resolving schedule disturbances using heuristic rules sele...