We study inventory systems operating under an infinite-horizon, periodic-review base-stock control policy with stochastic demand and imperfect (i.e., less than 100% reliable) supply. We model demand using a general discrete distribution and replenishment lead time using a geometric distribution,...

This dissertation explores coordination schemes that can be used to align the incentives of an original equipment manufacturer (OEM) and its contract manufacturer (CM). The coordination ismediated by demand forecast sharing and component overage risk sharing. Three major problems are studied:...

In todays highly competitive market, firms have to focus on their core competencies to achieve success. While enjoying the benefits of building a highly integrated supply chain, firms also expose themselves to uncertain events, which are generally called as risks. Considering the importance of...

A common challenge facing all businesses today is the increasingly uncertain environments in which they operate. These uncertainties have been magnified in the context of global supply chains. Most of the Operations Research literature ignores an important component of the system, the Decision...

The retail food industry has sales of over a trillion dollars. Most of these products are perishable in nature. This thesis deals with the development of multi period ordering policies for the perishable products with fixed shelf lives and finite replenishment lead times.In this thesis, simple...

This dissertation investigates the impact of various behavioral factors on supply chain management, using a laboratory approach. A series of experiments is designed to challenge the assumptions of several basic theoretical models used in supply chain management that have ignored behavioral...

The main focus of the thesis is to develop an optimal procurement policy for raw materials, that is, reorder points and optimal order quantities, for a multinational company. We develop a multiple period mixed integer programming model that takes into account the variation in demand that occurs...

For the past several decades, advances in manufacturing and supply chain management have improved the business environment. Nonetheless, dynamics, such as various unexpected disruptions and uncertainties, in business operations have significant impact on decision-making efficiency. Adoption of...

This thesis deals with developing and solving tactical inventory planning models for a supply chain that will enable the individual companies to determine their ordering policies efficiently under different conditions. The supply chain is modeled as a single warehouse supplying a product to...

Data Envelopment Analysis is a methodology which is used to determine relative efficiencies between decision making units (DMU). It can be used in various industries such as hospitals, banks and schools to name a few. The objective of this thesis is to provide a comparative analysis of different...