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Logistics and Distribution Institute(LoDI) A University of Louisville Program of Distinction

Current LoDI Internal Multidisciplinary

Research Projects

 

P rincipal Investigators:

Dr. S. M. Alexander, Department of Industrial Engineering and Dr. Mahesh Gupta, Department of Management

Project Title:

A Study of the Impact of CPFR on Supply Chain Performance

Description of the Project:

As information travels up the supply chain it becomes increasingly distorted leading to negative pheonmena such as the "bullwhip" effect. Collaborative Planning Forecasting and Replenishment (CPFR) among supply chain members mitigates such effects and greatly improves the performance of the supply chain, i.e., CPFR improves service levels and sales, while reducing inventory and delivery lead times across the supply chain. There is anecdotal evidence that CPFR performs well in companies where the demand is stable, yet there is a lack of empirical studies and very little is known about the affects of contextual moderators such as sales promotions, price fluctuations and demand variability on supply chain performance. Understanding these effects and the associated systems dynamics would give manufacturers insight into approaches to improve supply chain performance in the presence of these complex moderators. This understanding is important since unstable demand, price fluctuations and promotions are becoming more the norm rather than the exception. This research aims to study the effect of contextual moderators on supply chain performance with and without CPFR.

Principal Investigators : Dr. Mahesh Gupta, Department of Management and Dr. Gerald Evans, Department of Industrial Engineering

Project Title:
Environmental Orientation and Environmental Performance: A Supply Chain Perspective

Description of the Project:

Large businesses are formalizing their approach to environmental management in pursuit of quality management, eco-efficiency and regulatory compliance. The weakness with most modes of environmental response is that each focuses on only the internal functions of an organization. These environmental endeavors seldom occur in a functional vacuum and generaly involve participation and expectations of a firm's supply chain members. A long-term goal of any environmental management activity is to move towards a proactive stand, considering the environmental aspects in an integrated fashion within the entire manufacturing process, marketing, product delivery and customer service functions.

The purpose of this study is to develop an understanding of the dimensions of a firm's environmental orientation and its environmental performance from the supply chain perspective.

Principal Investigators : Dr. Grzegorz Kubicki, Department of Mathematics, and Dr. Waldemar Karwowski, Department of Industrial Engineering

Project Title:
A Logistics Management Approach for Optimizing the Cost of Health Care Delivery of a Hospital System

Description of the Project:

This project is concerned with the cost of health care delivery. It considers the problem of a network of hospitals managed by a single health care company. Each hospital is stocked with diagnostic equipment and contracts human labor, e.g., physicians and other health care provider specialists, able to treat patients. Ideally, each hospital should be able to treat every patient in need. However, in practice, some of the patients cannot be treated in the hospital to which they arrive. The hospital may lack diagnostic equipment or a specialist able to diagnose and provide treatment to the patient. Such a situation is called an "unfit". Each unfit must be solved in one of three ways: (1) the patient is directed to another hospital in the network; (2) the patient is directed to a hospital outside the network; or (3) the hospital installs equipment and hires specialists able to treat the patient(s) - this possibility must be done well in advance, obviously.

Solving each unfit costs money. Solution (2) costs the network because it loses revenue due to its inability to treat the patient(s). This research seeks to find a strategy to minimize the total cost of eliminating all unfits.

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