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Selected Works

End-of-life processing

Articles 1 - 11 of 11

Full-Text Articles in Mechanical Engineering

Pricing Of End-Of-Life Items With Obsolescence, Srikanth Vadde, Sagar V. Kamarthi, Surendra M. Gupta Apr 2012

Pricing Of End-Of-Life Items With Obsolescence, Srikanth Vadde, Sagar V. Kamarthi, Surendra M. Gupta

Sagar Kamarthi

Variability in the inflow of end-of-life (EOL) products and fluctuating inventory levels often make the processing of EOL products an economically risky operation for product recovery facilities (PRFs). Choosing an appropriate pricing policy can enhance the performance of PRFs by methodically clearing their inventory and increasing profits. This work presents two pricing models to counter the prospect of product obsolescence that can happen either gradually or suddenly. Product obsolescence can cause demand drop and inventory pile up, both of which could dent the revenues of PRFs. In the first model, gradual obsolescence and environmental regulations that limit the disposal quantity ...


Pricing Of End-Of-Life Items With Obsolescence, Srikanth Vadde, Sagar V. Kamarthi, Surendra M. Gupta Oct 2010

Pricing Of End-Of-Life Items With Obsolescence, Srikanth Vadde, Sagar V. Kamarthi, Surendra M. Gupta

Surendra M. Gupta

Variability in the inflow of end-of-life (EOL) products and fluctuating inventory levels often make the processing of EOL products an economically risky operation for product recovery facilities (PRFs). Choosing an appropriate pricing policy can enhance the performance of PRFs by methodically clearing their inventory and increasing profits. This work presents two pricing models to counter the prospect of product obsolescence that can happen either gradually or suddenly. Product obsolescence can cause demand drop and inventory pile up, both of which could dent the revenues of PRFs. In the first model, gradual obsolescence and environmental regulations that limit the disposal quantity ...


A Stochastic Inventory Management Approach In The Disassembly Line Portion Of Reverse Logistics, Badr O. Johar, Surendra M. Gupta Sep 2010

A Stochastic Inventory Management Approach In The Disassembly Line Portion Of Reverse Logistics, Badr O. Johar, Surendra M. Gupta

Surendra M. Gupta

Reverse logistics is a critical topic that has captured the attention of government, private entities and researchers in recent years. This increase in the concern was driven by current set of government regulations, increase of public awareness, and the attractive economic opportunities. As a result, many corporations have started to comprehend the importance of the recovery process and are taking serious steps in restructuring their supply chain processes to meet the new regulations such as limitations on waste disposal and recycling requirements [1]. Because of the unique problems associated with reverse supply chain and the complex nature of the reverse ...


Dynamic Programming For Solving Disassembly-To-Order System Under Stochastic Yields, Limited Supply, And Quantity Discount, Amre Massoud, Surendra Gupta Sep 2010

Dynamic Programming For Solving Disassembly-To-Order System Under Stochastic Yields, Limited Supply, And Quantity Discount, Amre Massoud, Surendra Gupta

Surendra M. Gupta

In this paper, we consider the disassembly-to-order (DTO) problem where a variety of returned end-of-life (EOL) products are disassembled in order to satisfy the demand for specified numbers of components. However, a lot of uncertainties exist in the disassembly process that further complicates the process. A DTO model has been developed that takes into consideration the different system uncertainties and variability. The DTO model was solved in multiple periods using dynamic programming (DP). The main objective was to determine optimal number of takeback EOL products in every period from each supplier to fulfill the demand of components while maximizing total ...


Analysis Of A Kanban Controlled Disassembly Line With Sensor Embedded Products, Mehmet Ali Ilgin, Surendra M. Gupta Sep 2010

Analysis Of A Kanban Controlled Disassembly Line With Sensor Embedded Products, Mehmet Ali Ilgin, Surendra M. Gupta

Surendra M. Gupta

The use of sensors in the detection of non-functional or missing components in a product before disassembling it is a promising approach to deal with the high level uncertainty associated with disassembly yield. This study presents a quantitative assessment of the impact of the sensor embedded products on the various performance measures of a kanban-controlled disassembly line. First, two separate design of experiments studies based on Orthogonal Arrays are carried out for the cases with and without sensor embedded products. Then, the results of paired-t tests comparing two cases based on different performance measures are presented.


The Effect Of Disassembly Process On Spare Parts Inventory Management In Post Product Life Cycle, Mehmet Ali Ilgin, Surendra M. Gupta Sep 2010

The Effect Of Disassembly Process On Spare Parts Inventory Management In Post Product Life Cycle, Mehmet Ali Ilgin, Surendra M. Gupta

Surendra M. Gupta

Timely and cost-effective acquisition of spare parts at post product life cycle (PPLC) is a challenging task due to limited supply of new spare parts. The most commonly used solution to this problem is the placement of a final order in the beginning of PPLC. Another alternative is the use of disassembled parts from End of Life (EOL) products. In this study, we consider both alternatives at the same time. First, a detailed discrete event simulation (DES) model of a disassembly line is developed. Then, a Genetic Algorithm (GA) is integrated with the DES model for the optimization of Final ...


Disassembly Of Sensor Embedded Products With Component Discriminating Demand, Mehmet Ali Ilgin, Surendra M. Gupta Sep 2010

Disassembly Of Sensor Embedded Products With Component Discriminating Demand, Mehmet Ali Ilgin, Surendra M. Gupta

Surendra M. Gupta

There is a high level uncertainty associated with disassembly yield due to existence of unfunctional and/or unneeded components in end of life products. Sensors embedded in critical components of a product can deal with this uncertainty by providing information on the type and condition of the components prior to disassembly. This study presents a quantitative assessment of the impact of sensor embedded products (SEPs) on the various performance measures of a kanban-controlled washing machine disassembly line. First, separate design of experiments studies based on orthogonal arrays are performed for the cases with and without SEPs. Then, the results of ...


Linear Physical Programming For Solving The Multi-Criteria Disassembly-To-Order Problem Under Stochastic Yields, Limited Supply, And Quantity Discount, Amre Massoud, Surendra Gupta Sep 2010

Linear Physical Programming For Solving The Multi-Criteria Disassembly-To-Order Problem Under Stochastic Yields, Limited Supply, And Quantity Discount, Amre Massoud, Surendra Gupta

Surendra M. Gupta

This paper focuses on the disassembly-to-order (DTO) problem. End-of-life (EOL) products are purchased from a number of suppliers in order to be disassembled into individual components to satisfy the demand for specified numbers of components. However, there are a lot of uncertainties that complicates the process. Previous work in the literature solved the DTO problem under multiple uncertainties and a single objective. Other models solved the multicriteria DTO problem with a single uncertainty. This paper develops a multi-criteria DTO model that takes into consideration multiple system uncertainties and solves it using Linear Physical Programming (LPP). The main objective was to ...


Preemptive Goal Programming For Solving The Multi-Criteria Disassembly-To-Order Problem Under Stochastic Yields, Limited Supply, And Quantity Discount, Amre Z. Massoud, Surendra M. Gupta Sep 2010

Preemptive Goal Programming For Solving The Multi-Criteria Disassembly-To-Order Problem Under Stochastic Yields, Limited Supply, And Quantity Discount, Amre Z. Massoud, Surendra M. Gupta

Surendra M. Gupta

This paper considers the disassembly-to-order (DTO) problem where end-of-life (EOL) products are purchased for disassembly in order to satisfy the demand for specified numbers of components. Previous work in the literature solved the DTO problem with multiple uncertainties under a single objective while others solved the multi-criteria model with a single uncertainty. This paper develop a multi-criteria DTO model that would takes into consideration multiple system uncertainties and variability. The multi-criteria DTO model was solved using preemptive goal programming (PGP). The main objective was to determine optimal number of take-back EOL products in every period from each supplier in order ...


An Optimization Framework For Advanced Disassembly/Repair-To-Order Systems With Remaining-Life Adjustment, Onder Ondemir, Surendra Gupta Sep 2010

An Optimization Framework For Advanced Disassembly/Repair-To-Order Systems With Remaining-Life Adjustment, Onder Ondemir, Surendra Gupta

Surendra M. Gupta

Due to environmental awareness and realization of cost savings, disassembly-to-order (DTO) concept has become popular. One of the main obstacles to making optimal DTO decisions is the uncertainty involved in end-of-life products (EOLPs). This uncertainty is due to the lack of information about the condition and the quantity of EOLPs returned. This uncertainty is removed by advanced disassembly/repair-to-order systems utilizing sensors to monitor the products in their life-cycle. Sensor technology enables remaining life estimation, thus allows advanced DTO models to deal with sophisticated component and product demands with remaining life adjustment. This paper presents an optimization framework for advanced ...


Cost-Benefit Analysis Of Sensor-Embedded Products Based Disassembly-To-Order System, Onder Ondemir, Surendra Gupta Sep 2010

Cost-Benefit Analysis Of Sensor-Embedded Products Based Disassembly-To-Order System, Onder Ondemir, Surendra Gupta

Surendra M. Gupta

Due to environmental awareness and realization of cost savings, disassembly-to-order (DTO) concept has become popular. One of the main obstacles to making optimal DTO decisions is the uncertainty involved in end-of-life products (EOLPs). This uncertainty is due to the lack of information about the condition and the quantity of EOLPs returned. This uncertainty can be removed by sensors monitoring the products in their life-cycle. However, DTO systems utilizing these sensors will be more costly to establish and maintain. This paper presents economic justification of establishing advanced disassembly-to-order (DTO) systems in which sensor-embedded end-of-life products are disassembled in order to fulfill ...