Year: 2012
Type: conference-paper
Abstract: The paper emphasizes on two warehouse manufacturing model for deteriorating items following time dependent demand pattern. Every manufacturing organization intends to produce perfect quality items. Due to long course of action, various types of difficulties concerning machinery capabilities, labor potential or facility from other resources may appear. Consequently, the systems shift from in-control state to out-of-control state which leads to the production of imperfect quality items. The produced lot can be screened at a cost and then separated defective items can be sold at reduced selling price. Using LIFO (last in first out) dispatching policy for model formulation, our objective is to determine the maximum total profit and the corresponding optimum decision variables. This problem is a constrained non-linear programming and hence a parameter-tuned Genetic Algorithm (GA) is implemented to solve it efficiently. The application of the model is illustrated by providing a numerical example and result is analyzed regarding the impact of various parameters on the proposed policy.
Source: Procedia Engineering
Authors: Himani Dem, S.R. Singh
Institutions: Banasthali University, Chaudhary Charan Singh University
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W2019714080