Author

Gokce Palak

Advisor

Ekşioğlu, Sandra D.

Committee Member

Ekşioğlu, Burak

Committee Member

Greenwood, Allen G.

Committee Member

Geunes, Joseph

Committee Member

Jin, Mingzhou

Date of Degree

1-1-2013

Document Type

Dissertation - Open Access

Major

Operations Research

Degree Name

Doctor of Philosophy

College

James Worth Bagley College of Engineering

Department

Department of Industrial and Systems Engineering

Abstract

This dissertation aims to provide models which will help companies make sustainable logistics management and transportation decisions. These models are extensions of the economic lot sizing model with the availability of multiple replenishment modes. The objective of the models is to minimize total replenishment costs and emissions. The study provides applications of these models on contemporary supply chain problems. Initially, the impact of carbon regulatory mechanisms on the replenishment decisions are analyzed for a biomass supply chain under fixed charge replenishment costs. Then, models are extended to consider multiple-setups replenishment costs for age dependent perishable products. For a cost minimization objective, solution algorithms are proposed to solve cases where one, two or multiple replenishment modes are available. Finally, using a bi-objective model, tradeoffs in costs and emissions are analyzed in a perishable product supply chain.

URI

https://hdl.handle.net/11668/20407

Comments

Multi-mode replenishment||Perishable inventory||Transportation||Economic lot sizing||Carbon emissions

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