A comparative approach on a non-stationary demand, perishable goods, and fill rate constraint system of the static uncertainty policy to the static-dynamic uncertainty policy

Date of Publication

2017

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Industrial Engineering

College

Gokongwei College of Engineering

Department/Unit

Industrial and Systems Engineering

Thesis Adviser

Charlle Sy

Defense Panel Chair

Ronaldo V. Polancos

Defense Panel Member

Bryan O. Gobaco

Alma Maria Jennifer Gutierrez

Jonathan R. Dungca

Abstract/Summary

Inventory management strategies perform differently under different circumstances. If a chosen inventory strategy is not the best fit for the situation in which it is applied, there is an opportunity cost of the savings that would have been gotten by applying the best inventory strategy for the context. This study aims to compare the performance of two inventory strategies the static uncertainty inventory strategy and the static-dynamic inventory strategy in various environments within a system that has non-stationary demand, perishable goods, and fill rate constraint. Design of experiments was performed on each strategy, giving insight on how various factors interact within the strategies. Each strategy was then run with different scenarios under Monte Carlo simulated demand, giving insight on which scenarios favored which strategies.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU17378

Shelf Location

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

Physical Description

183 leaves : illustrations (some color) ; 29 cm.

Keywords

Inventory control; Materials management; Industrial management

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