TRIZ inspired design guidelines for remanufacturing using additive manufacturing

Remanufacturing is the process of turning used products into new ones in terms of quality, functionality, and aesthetics with relatively lower product price. To make the process of remanufacturing easier, certain changes may be required in the design of a remanufactured product. The advent of additive manufacturing has opened new opportunities for the design for remanufacturing with an increase in the feasibility of various product design options for remanufacturing. Although there are design guidelines scattered across literature, a set of design rules or guidelines that facilitate remanufacturing using additive manufacturing is not clearly provided in the extant literature. To fill this void, this research focuses on building a set of design guidelines based on a TRIZ matrix to solve conflicting problems or issues on design for remanufacturing. The proposed TRIZ matrix facilitates necessary design guidelines for remanufacturing using additive manufacturing. A case study is provided to elaborate on the application of the design guidelines derived from the proposed methodology. This study develops a user-friendly TRIZ tool which will help identify all the parameters that need to be considered for remanufacturing and provides feasible solutions to successfully remanufacture a product. This tool will be of great use to industries and designers trying to design parts for remanufacturing

Facility Location Selection for the Humanitarian Needs of Refugees

As a result of civil war in Syria and Turkey’s open-door policy, almost 3 million refugees moved to Turkey since March 2011. The unexpected arrival of a large number of refugees within a relatively short period of time caused inadequate planning of the government-operated camps to fulfill the humanitarian needs of those affected individuals. The purpose of this study is to develop an optimization model that helps in the distribution of humanitarian aid to the refugees. The multi-objective optimization model decides on the facility locations by integrating total transportation distance minimization and covered demand maximization. Uncertainties in the supply amount are captured through possible scenarios to determine the optimal facilities that will serve the demand points. We used a weighted sum method to solve the multi-objective optimization problem. Different weights are associated with the objective functions to represent the varying preferences of decision makers and examine how the optimal solution changes

TRIZ inspired design guidelines for remanufacturing using additive manufacturing

Remanufacturing is the process of turning used products into new ones in terms of quality, functionality, and aesthetics with relatively lower product price. To make the process of remanufacturing easier, certain changes may be required in the design of a remanufactured product. The advent of additive manufacturing has opened new opportunities for the design for remanufacturing with an increase in the feasibility of various product design options for remanufacturing. Although there are design guidelines scattered across literature, a set of design rules or guidelines that facilitate remanufacturing using additive manufacturing is not clearly provided in the extant literature. To fill this void, this research focuses on building a set of design guidelines based on a TRIZ matrix to solve conflicting problems or issues on design for remanufacturing. The proposed TRIZ matrix facilitates necessary design guidelines for remanufacturing using additive manufacturing. A case study is provided to elaborate on the application of the design guidelines derived from the proposed methodology. This study develops a user-friendly TRIZ tool which will help identify all the parameters that need to be considered for remanufacturing and provides feasible solutions to successfully remanufacture a product. This tool will be of great use to industries and designers trying to design parts for remanufacturing.</p

Facility Location Selection for the Humanitarian Needs of Refugees

As a result of civil war in Syria and Turkey’s open-door policy, almost 3 million refugees moved to Turkey since March 2011. The unexpected arrival of a large number of refugees within a relatively short period of time caused inadequate planning of the government-operated camps to fulfill the humanitarian needs of those affected individuals. The purpose of this study is to develop an optimization model that helps in the distribution of humanitarian aid to the refugees. The multi-objective optimization model decides on the facility locations by integrating total transportation distance minimization and covered demand maximization. Uncertainties in the supply amount are captured through possible scenarios to determine the optimal facilities that will serve the demand points. We used a weighted sum method to solve the multi-objective optimization problem. Different weights are associated with the objective functions to represent the varying preferences of decision makers and examine how the optimal solution changes.This proceeding is published as Günay, Elif Elçin, Kijung Park, Srujana Kandukuri, and Gül E. Okudan Kremer. "Facility Location Selection for the Humanitarian Needs of Refugees." IISE Annual Conference and Expo 2019. Proceedings of a meeting held May 18-21, 2019, Orlando, Florida, USA. Posted with permission.</p