An optimal reallocation policy model for perishable consumer goods on a finite planning horizon considering product desirability

Date of Publication

2007

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

Dennis T. Beng Hui

Defense Panel Member

Anthony Shun Fung Chiu

Abstract/Summary

The study aimed to incorporate the concept of returns management and perishable inventory management in optimizing a system which allows for product reallocation at the same time considering the best possible assignment of facilities. The study deals with a three-level network consisting of retailers, warehouses, and final disposal facilities for a single product considering both forward and reverse logistics activities. A mathematical model was formulated to minimize the overall total system cost. A deterministic model was first constructed and translated to the General Algebraic Modeling Systems (GAMS) language after which risk optimizer was used to validate the model's behavior if demand were taken to follow a certain distribution. From the comparison, it was seen that the behavior of the model given either a deterministic or stochastic demand remains the same. Design of Experiments (DOE) was used to determine which factors significantly affect the system response. Using Response Surface Methodology (RSM), the relationships among all significant factors were analyzed and observed. Through RSM and GAMS, the desirability of product reallocation was evaluated. The model was compared to a traditional one wherein no reallocations were allowed. From the results of the comparison, it could be said that reallocation would indeed allow for minimization of cost and occurrence of outdates.

An application of returns management to the traditional supply chain activities would enable a firm to efficiently handle reverse product flow of goods. One way of implementing returns management is through proactive inventory monitoring of perishable consumer goods, alongside optimizing facility assignment, such that the occurrence of outdates are reduced.

The study aimed to incorporate the concept of returns management and perishable inventory management in optimizing a system which allows for product reallocation at the same time considering the best possible assignment of facilities. The study deals with a three-level network consisting of retailers, warehouses, and final disposal facilities for a single product considering both forward and reverse logistics activities. A mathematical model was formulated to minimize the overall total system cost. A deterministic model was first constructed and translated to the General Algebraic Modeling Systems (GAMS) language after which risk optimizer was used to validate the model's behavior if demand were taken to follow a certain distribution. From the comparison, it was seen that the behavior of the model given either a deterministic or stochastic demand remains the same. Design of Experiments (DOE) was used to determine which factors significantly affect the system response. Using Response Surface Methodology (RSM), the relationships among all significant factors were analyzed and observed. Through RSM and GAMS, the desirability of product reallocation was evaluated. The model was compared to a traditional one wherein no reallocations were allowed. From the results of the comparison, it could be said that reallocation would indeed allow for minimization of cost and occurrence of outdates.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU14410

Shelf Location

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

Physical Description

viii, 209 leaves : ill. (some col.) ; 28 cm.

Keywords

Production management; Production planning; Perishable goods; Industrial management--Mathematical models; Machine theory; Flexible manufacturing systems

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