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- End-of-life processing (10)
- Disassembly (7)
- Disassembly-to-order (5)
- Reverse supply chain (5)
- Sensor embedded products (4)
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- Disassembly line balancing problem (DLBP) (2)
- Disassembly process planning (2)
- Linear physical programming (2)
- Product recovery (2)
- Reverse supply chains (2)
- Advanced disassembly/repair-to-order (1)
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- Combinatorial optimization (1)
- Crystal Ball® (1)
- Design for disassembly index (DFDI) (1)
- Disassembly line balancing (1)
- Disassembly precedence matrix (1)
- Disassembly sequencing (1)
- Dynamic programming (1)
- End-of-life (1)
- Environmentally conscious manufacturing (EnviCoM) (1)
- Environmentally conscious products (1)
- Fuzzy (1)
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- Heuristics (1)
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- Integrated component recovery system (ICRS) (1)
- Inventory management (1)
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A Bi-Directional Supply Chain Optimization Model For Reverse Logistics, Surendra M. Gupta, Pitipong Veerakamolmal
A Bi-Directional Supply Chain Optimization Model For Reverse Logistics, Surendra M. Gupta, Pitipong Veerakamolmal
Surendra M. Gupta
This paper focuses an supply chain optimization system for reverse logistics. The solution approach employs an adaptation of the Materials Requirements Planning (MRP) technique, termed as components requirements planning, to determine the number of components needed to remanufacture products in each time period throughout the planning horizon.
Greedy Algorithm For Disassembly Line Scheduling, Seamus M. Mcgovern, Surendra M. Gupta
Greedy Algorithm For Disassembly Line Scheduling, Seamus M. Mcgovern, Surendra M. Gupta
Surendra M. Gupta
Remanufacturing, recycling, and disposal recovery operations require the performance of disassembly activities. The disassembly line is the best choice for automated disassembly of returned products, however, finding the optimal balance is computationally intensive with exhaustive search quickly becoming prohibitively large. In this paper, a greedy algorithm is presented for obtaining optimal or near-optimal solutions to the disassembly line balancing problem. The greedy algorithm is a first-fit decreasing algorithm further enhanced to preserve precedence relationships. The algorithm seeks to minimize the number of workstations while accounting for hazardous and high demand components. A hill-climbing heuristic is then developed to balance the …
A Multi-Phase Fuzzy Logic Approach To Strategic Planning Of A Reverse Supply Chain Network, Kishore K. Pochampally, Surendra M. Gupta
A Multi-Phase Fuzzy Logic Approach To Strategic Planning Of A Reverse Supply Chain Network, Kishore K. Pochampally, Surendra M. Gupta
Surendra M. Gupta
Strategic planning (also called designing) is a challenging aspect of a reverse supply chain network. To effectively satisfy drivers such as profitability, environmental regulations, and asset recovery, only the most economical used products must be reprocessed in only the recovery facilities that have the potential to efficiently reprocess them. Due to uncertainties in supply, quality, and reprocessing times of used products, the cost-benefit function in the literature that selects the most economical product to reprocess from a set of used products is not appropriate for direct adoption. Moreover, due to the same uncertainties, any traditional forward supply chain approach to …
A Business-Mapping Approach To Multi-Criteria Group Selection Of Collection Centers And Recovery Facilities, Kishore Pochampally, Surendra Gupta
A Business-Mapping Approach To Multi-Criteria Group Selection Of Collection Centers And Recovery Facilities, Kishore Pochampally, Surendra Gupta
Surendra M. Gupta
For a prospective reverse supply chain to operate efficiently, the designing of that chain must involve selection of collection centers and recovery facilities that have sufficient success potentials. These success potentials depend heavily on the participation (in the reverse supply chain) of three important groups that have multiple, conflicting, and incommensurate goals. Therefore, the potentials must be evaluated based on the maximized consensus among the three groups, viz., (i) Consumers whose primary concern is convenience, (ii) Local government officials whose primary concern is environmental consciousness, and (iii) Supply chain company executives whose primary concern is profit. In this paper, we …
Pricing Of End-Of-Life Items With Obsolescence, Srikanth Vadde, Sagar V. Kamarthi, Surendra M. Gupta
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 …
Product Recovery Using A Disassembly Line : Challenges And Solution, Surendra M. Gupta, Askiner Gungor
Product Recovery Using A Disassembly Line : Challenges And Solution, Surendra M. Gupta, Askiner Gungor
Surendra M. Gupta
Disassembly plays an important role in product recovery by allowing selective separation of desired parts and materials. The disassembly line is the best choice for automated disassembly of returned products, a feature that will be essential in the future. It is, therefore, important that the disassembly line be designed and balanced so that it works as efficiently as possible. In this paper, the authors address the disassembly line balancing problem and the challenges that come with it.
Disassembly Process Planning Using Petri Nets, Kendra E. Moore, Askiner Gungor, Surendra M. Gupta
Disassembly Process Planning Using Petri Nets, Kendra E. Moore, Askiner Gungor, Surendra M. Gupta
Surendra M. Gupta
We generate a disassembly PN (DPN) from a disassembly precedence matrix. The resulting DPN can be analyzed using the reachability tree method to generate all feasible disassembly process plans (DPPs), and cost functions can be used to determine the optimal DPP. Since generating the reachability tree is NP-complete, we develop a heuristic algorithm to limit the size of the reachability tree. The algorithm employs multihypothesis search to dynamically explore the v likeliest lowest cost branches of the tree, in order to identify near-optimal DPPs. The cost function incorporates tool changes, changes in direction movement, and individual part characteristics (e.g., hazardous). …
Determining Optimum And Suboptimum Disassembly Sequences With An Application To A Cell Phone, A.J.D. (Fred) Lambert, Surendra M. Gupta
Determining Optimum And Suboptimum Disassembly Sequences With An Application To A Cell Phone, A.J.D. (Fred) Lambert, Surendra M. Gupta
Surendra M. Gupta
We study the disassembly process of a moderately complex consumer product (cell phone) consisting of 25 components. The investigation involves a heuristically solved disassembly line balancing problem and the determination of an appropriate disassembly sequence influenced by sequence-dependent costs, which is based on a novel combination of exact and heuristic algorithms. The issue of generating various suboptimum solutions to cope with multiple optimization criteria is also discussed.
Design Of An Integrated Component Recovery System, Pitipong Veerakamolmal, Surendra Gupta
Design Of An Integrated Component Recovery System, Pitipong Veerakamolmal, Surendra Gupta
Surendra M. Gupta
This paper presents a two-stage disassembly and retrieval system that provides a unique solution for planning selective component recovery from products. The solution approach uses a process sequencing technique to schedule the operations in both stages to optimize the operational makespan.
Planning An Efficient Closed-Loop Supply Chain Network : A Unified Single Phase Approach, Satish Nukala, Surendra M. Gupta
Planning An Efficient Closed-Loop Supply Chain Network : A Unified Single Phase Approach, Satish Nukala, Surendra M. Gupta
Surendra M. Gupta
No abstract provided.
Efficient Design And Effective Marketing Of A Reverse Supply Chain : A Fuzzy Logic Approach, Kishore K. Pochampally, Surendra M. Gupta
Efficient Design And Effective Marketing Of A Reverse Supply Chain : A Fuzzy Logic Approach, Kishore K. Pochampally, Surendra M. Gupta
Surendra M. Gupta
A two-phase mathematical programming approach to efficiently design a reverse supply chain is proposed, as follows: in phase I, a fuzzy cost-benefit function is formulated to perform a multi-criteria economic analysis for selecting the most economical product to re-process, from a set of candidate used products; in phase II, an integer goal programming model that not only identifies potential recovery facilities but also leads to transportation of the right mix and quantities of products (used as well as re-processed) across the supply chain, is formulated. Since the success of a reverse supply chain depends on its marketing strategy as well …
A Combinatorial Cost-Benefit Analysis Methodology For Designing Modular Electronic Products For The Environment, Pitipong Veerakamolmal, Surendra Gupta
A Combinatorial Cost-Benefit Analysis Methodology For Designing Modular Electronic Products For The Environment, Pitipong Veerakamolmal, Surendra Gupta
Surendra M. Gupta
This paper presents a technique to analyze the efficiency of designing electronic products for the environment. The efficiency of each design is indicated using a Design for Disassembly Index (DfDI). DfDI uses a disassembly tree (DT) which relies on the product's bill of materials as its structural blueprint. DfDI can be used to compare the efficiency among alternative designs, identifying the best alternative for a product retirement plan. In addition, the index offers designers with an important measure to help improve future products.
Disassembly Petri Net Generation In The Presence Of Xor Precedence Relationships, K. E. Moore, Askiner Gungor, Surendra M. Gupta
Disassembly Petri Net Generation In The Presence Of Xor Precedence Relationships, K. E. Moore, Askiner Gungor, Surendra M. Gupta
Surendra M. Gupta
A disassembly process plan (DPP) is a sequence of disassembly tasks which begins with a product to be disassembled and terminates in a state where all the parts of interest are disconnected. Disassembly process planning is critical for minimizing the resources invested in disassembly and maximizing the level of automation of the disassembly process and the quality of the parts (or materials) recovered. In this paper, we propose an algorithm which automatically generates a disassembly PN (DPN) from a geometrically-based disassembly precedence matrix (DPM). This algorithm can be used to generate DPPs for products which contain simple AND, OR, complex …
A Multi-Phase Mathematical Programming Approach To Strategic Planning Of An Efficient Reverse Supply Chain Network, Kishore Pochampally, Surendra Gupta
A Multi-Phase Mathematical Programming Approach To Strategic Planning Of An Efficient Reverse Supply Chain Network, Kishore Pochampally, Surendra Gupta
Surendra M. Gupta
Strategic planning of a supply chain network is one of the most challenging aspects of reverse logistics. To effectively satisfy drivers such as profitability, environmental regulations and asset recovery, only the most economical used products must be reprocessed in only the recovery facilities that have the potential to efficiently reprocess them. Due to uncertainties in supply, quality and reprocessing times of used-products, the cost-benefit function in the literature that selects the most economical product to reprocess from a set of used-products is not appropriate for direct adoption. Moreover, due to the same uncertainties, any traditional forward supply chain approach to …
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, …
A Stochastic Inventory Management Approach In The Disassembly Line Portion Of Reverse Logistics, Badr O. Johar, Surendra M. Gupta
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 …
System Dynamics Approach In Inventory Management Of End-Of-Life Products In A Disassembly Line, Badr Johar, Surendra Gupta
System Dynamics Approach In Inventory Management Of End-Of-Life Products In A Disassembly Line, Badr Johar, Surendra Gupta
Surendra M. Gupta
A major challenge original equipment manufacturers (OEMs) currently face is how to implement an effective reverse supply chain network that is both cost effective and efficient. The rapid increase in the end-of-life (EOL) products returns from end customers back to origin for recovery or proper disposal can be said one of the main reasons behind this interest. Thus, the purpose of this paper is to examine the relationship between all elements of inventory management in the disassembly context using the system dynamic modeling approach to analyze the inventory of disassembled parts. Analysis of different market scenarios is conducted. The system …
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 …
Analysis Of A Kanban Controlled Disassembly Line With Sensor Embedded Products, Mehmet Ali Ilgin, Surendra M. Gupta
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.
Analysis Of Remanufacturing Policy With Consideration For Returned Products Quality, Kenichi Nakashima, Surendra M. Gupta
Analysis Of Remanufacturing Policy With Consideration For Returned Products Quality, Kenichi Nakashima, Surendra M. Gupta
Surendra M. Gupta
This paper deals with the product acquisition control problem and considers returned product quality with two types of classes. The system includes the flow of the product returns from customers to the factory as well as the forward flow of the sales. We formulate the acquisition problem together with product quality and stochastic demand using the Markov decision process. A numerical example is given to show the implementation of the methodology.
The Effect Of Disassembly Process On Spare Parts Inventory Management In Post Product Life Cycle, Mehmet Ali Ilgin, Surendra M. Gupta
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
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 paired-t …
An Evaluation Of The Effect Of Sensor Embedded Products In Product Disassembly With Precedence Relationships, Mehmet Ilgin, Surendra Gupta
An Evaluation Of The Effect Of Sensor Embedded Products In Product Disassembly With Precedence Relationships, Mehmet Ilgin, Surendra Gupta
Surendra M. Gupta
A promising solution approach to deal with the uncertainty associated with disassembly yield is sensor embedded products (SEPs) which involve sensors implanted during the production process. This study presents a quantitative assessment of the impact of SEPs on the various performance measures of a kanban-controlled air conditioner disassembly line. First, separate design of experiments studies based on orthogonal arrays are carried out for the cases with and without SEPs. Then, the results of paired-t tests comparing two cases based on different performance measures are presented.
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 …
Use Of Crystal Ball® To Predict Profitability Of A Reverse Supply Chain, Kishore K. Pochampally, Surendra M. Gupta, Tej S. Dhakar
Use Of Crystal Ball® To Predict Profitability Of A Reverse Supply Chain, Kishore K. Pochampally, Surendra M. Gupta, Tej S. Dhakar
Surendra M. Gupta
Traditionally, firms have been spending significant time and money in improving their forward supply chains while ignoring their potential reverse supply chains. However, in today’s competitive business environment, it is important that firms study the profitability and benefits of implementing a reverse supply chain while considering the uncertainties associated with the supply and composition of used products, disassembly time, recycling/remanufacturing time, and demand for recycled/remanufactured goods. In this paper, we demonstrate how a simulation software package, Crystal Ball®, can be used to help a firm predict whether investment in a reverse supply chain is profitable with respect to a given …
An Optimization Framework For Advanced Disassembly/Repair-To-Order Systems With Remaining-Life Adjustment, Onder Ondemir, Surendra Gupta
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 disassembly/repair-to-order …
A Genetic Algorithm Approach To End-Of-Life Disassembly Sequencing For Robotic Disassembly, Ahmed Elsayed, Elif Kongar, Surendra M. Gupta
A Genetic Algorithm Approach To End-Of-Life Disassembly Sequencing For Robotic Disassembly, Ahmed Elsayed, Elif Kongar, Surendra M. Gupta
Surendra M. Gupta
End-of-life (EOL) processing options include reuse, remanufacturing, recycling and proper disposal. In almost all cases, a certain level of disassembly may be required due to possible changes in the original product structure. Thus, finding an optimal or near optimal disassembly sequence is crucial to increasing the efficiency of the process. Disassembly operations are labor intensive, can be costly, have unique characteristics and cannot be considered as reverse of assembly operations. Since the complexity of determining the best disassembly sequence increases as the number of parts of the product grow, an efficient methodology is reuired for disassembly sequencing. In this paper, …
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 …