Title

An optimal design of automated storage and retrieval system with product safety consideration

Date of Publication

1999

Document Type

Master's Thesis

Degree Name

Master of Science in Industrial Engineering

Subject Categories

Engineering Education

College

Gokongwei College of Engineering

Department/Unit

Industrial Engineering

Thesis Adviser

Rosemary R. Seva

Defense Panel Chair

Dennis Beng Hui

Defense Panel Member

Cleta Milagros Filmer
Debbie Ann P. Nacu

Abstract/Summary

Automated Storage and Retrieval System (AS/RS), as defined by the Materials Handling Institute (1982), as a combination of equipment and controls which handles, stores, retrieves materials with precision, accuracy and speed under a defined degree of automation. Existing models on the determination of optimal design of AS/RS did not incorporate product safety and did not attempt to improve flexibility of the system. Product safety refers to the minimization of the occurrence of product getting damages during its storage and retrieval. Flexibility refers to the ability of the system to adopt to certain changes in the arrival of requests.In this study, product safety and flexibility of the system were incorporated in the model. The initial model developed in this study was a multi-objective mixed integer non-linear model. The first objective function is to minimize the investment and operating cost. The second objective function is to minimize the expected number of product damages that the system can create. The model is then converted into a goal programming model that reduces the number of objective function to one. Thus, the objective function of the goal programming model is to minimize the total undesirable deviation from the target investment and operating costs and from the allowable product damages.

Since the formulated model was non-linear, its convexity was proven using classical optimization technique. In order to test for the convexity of the model, the model is converted into an unconstrained external problem using Lagrangian Method. This method requires the evaluation of the determinant of a Bordered Hessian Matrix. Likewise, Karush Kuhn-Tucker (KKT) conditions are used to determine the relationship of the parameters with the decision variables that would

Abstract Format

html

Language

English

Format

Print

Accession Number

TG02943

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

160 leaves

Keywords

Optimal designs (Statistics); Structural optimization; Product safety; Information storage and retrieval systems

This document is currently not available here.

Share

COinS