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

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

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

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

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

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.

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.

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).

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).

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.

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, 2017.