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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Disassembly-To-Order System Using Linear Physical Programming, Elif Kongar, Surendra M. Gupta
Disassembly-To-Order System Using Linear Physical Programming, Elif Kongar, Surendra M. Gupta
Surendra M. Gupta
One of the most responsible ways of processing end-of-life (EOL) products is to minimize their disposal to landfills by reusing, remanufacturing and/or recycling them. Often, this necessitates a certain level of disassembly. It is therefore necessary to plan disassembly processing efficiently so as to minimize costs and the amount of disposal as well as to maximize reuse, remanufacturing and recycling. In this paper, we present a disassembly-to-order system to determine the number of EOL products to process to fulfill a certain demand for products, parts and/or materials under a variety of objectives and constraints using a newly developed decision tool, …
Dynamic Programming For Solving Disassembly-To-Order System Under Stochastic Yields, Limited Supply, And Quantity Discount, Amre Massoud, Surendra Gupta
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 …
Linear Physical Programming For Solving The Multi-Criteria Disassembly-To-Order Problem Under Stochastic Yields, Limited Supply, And Quantity Discount, Amre Massoud, Surendra Gupta
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
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 …
Cost-Benefit Analysis Of Sensor-Embedded Products Based Disassembly-To-Order System, Onder Ondemir, Surendra Gupta
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 …