1. STUDENT RESEARCH POSTER COMPETITION
Inventory control and Process optimization for Remanufacturing Process
DHWANI PATEL (MS Industrial and Manufacturing Engineering)
SAJJAD FARAHANI (Phd – Industrial and Manufacturing Engineering)
Research Advisor – Dr. Wilkistar Otieno
DEPARTMENT OF INDUSTRIAL AND MANUFACTURING ENGINEERING , COLLEGE OF ENGINEERING AND APPLIED SCIENCE
UNIVERSITY OF WISCONSIN - MILWAUKEE

2. INTRODUCTION
Remanufacturing: In brief it is a well designed set of process performed to bring used products back to its original working condition.
Sustainable business practice
Economical solution for industries
Less material extraction from natural resources
Reduce disposal process thereby saving money and environment.
Objective – To reduce environmental impacts and increase material utilization

3. FACTS AND FIGURES United States of America
$51 billion industry according USITC (United States International Trade Commission) as of 2011
1,80,000 full time jobs.
Europe
€30 billion and 1,90,000 full time jobs.
Consumes only 15% of energy compared to conventional Manufacturing process

4. CURRENT REMANUFACTURING INDUSTRIES
Automobile parts – Numerous small business repair facilities
HDOR (Heavy Duty off road equipment) - Caterpillar
Printer toner and cartridges - Xerox
Electrical control panels and circuit boards and Drives – Rockwell Automation

5. ADVANTAGES Pollution Reduction
Manufacturing, consumption of raw material and natural resources
Landfill reduction
Re-Utilization of material hence less disposition
Landfill materials are key resources for remanufacturing
Maximum Product utilization
Increased life span of products and son utilization

6. CHALLENGES End of Life Product Cost
Cost of reverse logistics and closed loop supply chain
Customer Perspective
Natural inclination towards new products regardless of equal quality provided in remanufactured products
Core Supply
Highly uncertain return product flow.

7. CHALLENGES No standardized process for Remanufacturing
Return product quality depends on customer usage pattern and highly varies.
Remanufacturing time highly varies from product to product.
No available tools to decide how economical it would be to Remanufacture product
Improper inventory control because of uncertain return flow.

8. Methodology 3 – Dimensional Markov model Inventory level
Defined Policies
Development of steady state flow balance equation
Source: Katsuhiko Takahashi, K. M. (2007, January 25). Inventory control for a MARKOVIAN remanufacturing system with stochastic decomposition process. In Int. J. Production Economics 108 (2007) (p. 9).

9. Methodology
Source: Katsuhiko Takahashi, K. M. (2007, January 25). Inventory control for a MARKOVIAN remanufacturing system with stochastic decomposition process. In Int. J. Production Economics 108 (2007) (p. 9).

10. Results Cost Estimation for Remanufacturing
Decision making for Remanufacturing and Disposal
Parts utilization for Disposed products unable to be Remanufactured
Optimum inventory control hence reduced operational cost
Precise analysis leads to optimized performance and decisions
An efficient process flow with optimum profits.
Sustainable solution for used product utilization with economic advantages.

11. References
Katsuhiko Takahashi, K. M. (2007, January 25). Inventory control for a MARKOVIAN remanufacturing system with stochastic decomposition process. In Int. J. Production Economics 108 (2007) (p. 9).
United States International Trade Commission. (2012). Remanufactured Goods: An Overview of the U.S. and the Global Industries, Markets and Trade. Office of Industries. United States International Trade commission. Retrieved January 8,