Combination of Genetic Algorithm With Lagrange Multipliers For Lot-Size Determination in Capacity Constrained Multi-Period, Multi-Product and Multi-Stage Problems

Combination of Genetic Algorithm with Lagrange Multipliers for Lot-size Determination in Capacity Constrained Multi-period, Multi-product and Multi-stage Problems

In this paper a meta-heuristic approach has been presented to solve lotsize determination problems in a complex multi-stage production planning problems with production capacity constraint. This type of problems has multiple products with sequential production processes which are manufactured in different periods to meet customer’s demand. By determining the decision variables, machinery produc...

a lagrangean relaxation- genetic algorithm heuristic for multi-product multi-stage and multi-period lot sizing problem with limited resource capacity

in this paper, a hybrid method for limited resource allocation and leveling in complex multi-stage, multi-product and multi-period production planning problems with aim of lot-size determination and total cost minimization has been proposed. this problem consists of multiple products with sequential production processes that are produced in different periods to meet the customers demand. by det...

Multi-Objective Optimization for Multi-Product Multi-Period Four Echelon Supply Chain Problems Under Uncertainty

The multi-objective optimization for a multi-product multi-period four-echelon supply chain network consisting of manufacturing plants, distribution centers (DCs) and retailers each with uncertain services and uncertain customer nodes are aimed in this paper. The two objectives are minimization of the total supply chain cost and maximization of the average number of products dispatched to custo...

Dewey Library Lot Size Determination in Multi-stage Assembly Systems

Building a Multi-Objective Model for Multi-Product Multi-Period Production Planning with Controllable Processing Times: A Real Case Problem

Model building is a fragile and complex process especially in the context of real cases. Each real case problem has its own characteristics with new concepts and conditions. A correct model should have some essential characteristics such as: being compatible with real conditions, being of sufficient accuracy, being logically traceable and etc. This paper discusses how to build an efficient mode...

Genetic Algorithm Approach for Analysis of Multi Item Multi Period Procurement Lot Sizing Problem

This paper approaches Genetic algorithm for multi objective optimization of the multi item multi period procurement lot sizing problem. A mathematical model is developed to simulate raw material procurement lot sizing analysis for a real time valve manufacturing company. Model takes into account the constraints imposed by the budget, maximum order quantity and limited warehouse space. The analy...