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- Keyword
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- Recycling (Waste (etc.)) (30)
- End of life products (26)
- Production engineering (24)
- Disassembly (17)
- End-of-life processing (9)
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- Kanban system (8)
- Manufacturing systems (7)
- Disassembly line balancing (4)
- Disassembly-to-order (4)
- Just in time systems (4)
- Material requirements planning (MRP) (4)
- Sensor embedded products (4)
- Supply chain management (4)
- Buffers (3)
- Disassembly-to-order (DTO) (2)
- Collection facilities (2)
- Disassembly line (2)
- Disassembly-to-order (DTO) (2)
- Genetic algorithm (2)
- Inventory control (2)
- Reverse logistics (2)
- Reverse supply chains (2)
- Supply chain (2)
- Taguchi loss functions (2)
- Disassembly tree (DT) (1)
- Dynamic Kanban System for Disassembly Line (DKSDL) (1)
- Linear physical programming (LPP) (1)
- Modified Kanban System for Disassembly Line (MKSDL) (1)
- Generalized stochastic petrinet (GSPN) (1)
- Goal programming (GP) (1)
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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 …
A Multi-Kanban Model For Disassembly, Surendra Gupta, Gun Udomsawat, Sagar Kamarthi
A Multi-Kanban Model For Disassembly, Surendra Gupta, Gun Udomsawat, Sagar Kamarthi
Surendra M. Gupta
In this paper we demonstrate how kanbans can be used in a disassembly line setting. Disassembly line is quite different from assembly line in terms of material movement, demand arrival and inventory level fluctuation. We discuss these differences and introduce the concept of a multi-kanban mechanism to cope with them. With the help of a simulation model (developed using the ARENA software), we show that the modified kanban mechanism is in fact an effective tool for a disassembly line setting. An example is presented to illustrate the concept.
Performance Measurement In A Closed-Loop Supply Chain Network, Surendra M. Gupta, Satish Nukala
Performance Measurement In A Closed-Loop Supply Chain Network, Surendra M. Gupta, Satish Nukala
Surendra M. Gupta
An effective management of supply chain is a key factor for the better realization of organizational goals and customer expectations. In the era of globalization of markets and business process outsourcing, many firms realize the importance of continuous monitoring of the performance of their supply chains for its effectiveness and efficiency. In the modern era, performance measurement has a far more significant role than just quantification and accounting. It provides the management important feedback to monitor performance, reveal progress, diagnose problems and enhances transparency among the several tiers of the supply chain thus making a phenomenal contribution to decision making …
Designing Electronic Products For Disassembly Using Cost/Benefit Analysis, Surendra M. Gupta, Pitipong Veerakamolmal
Designing Electronic Products For Disassembly Using Cost/Benefit Analysis, Surendra M. Gupta, Pitipong Veerakamolmal
Surendra M. Gupta
This paper presents a technique to analyze the design efficiency of a product at both ends of the life-cycle. The design efficiency is measured using a Design for Disassembly Index (DfDI). DfDI uses a disassembly tree (DT) which relies on the structural blueprint of a product. The DT can be used to identify precedent relationships that define the structural constraints in terms of the order in which components can be retrieved. DfDI can be used to compare the merits and drawbacks of different product designs. The index offers designers with an important measure to help improve future products. We provide …
Customer Integrated Production System Analysis, Surendra M. Gupta, Louis Brennan
Customer Integrated Production System Analysis, Surendra M. Gupta, Louis Brennan
Surendra M. Gupta
This paper addresses the increasingly prevalent phenomenon of customer integrated production systems. In particular, it examines the operation of systems where customer integration has been enabled by the implementation of EDI and where supply chain uncertainty exists. A simulation model of such a system was employed to analyze four different production systems operating under different batch procedures and cost scenarios. Numerous experiments were conducted and the results obtained were analyzed. Several conclusions relating to customer behavior pattern and supply chain uncertainty were drawn from this analysis.
A Multi-Criteria Approach For Remanufacturing Model In A Disassembly-To-Order System, Surendra M. Gupta, Elif Kongar
A Multi-Criteria Approach For Remanufacturing Model In A Disassembly-To-Order System, Surendra M. Gupta, Elif Kongar
Surendra M. Gupta
We present a disassembly-to-order system applied in a multi-period environment where the products are taken back from the last user and/or collectors, disassembled for the retrieval of reusable items and resold (or used) in order to meet a certain level of demand for components or subassemblies. The surplus items are recycled, stored for use in subsequent periods or properly disposed of while the surplus products are only stored for subsequent periods or disposed of. We assume that the items have finite shelf lives after which they must be disposed of. Another assumption has to do with space limitation. Thus, it …
Coping With Processing Time Variation In A Jit Environment, Surendra M. Gupta, Yousef A. Y. Al-Turki, Ronald F. Perry
Coping With Processing Time Variation In A Jit Environment, Surendra M. Gupta, Yousef A. Y. Al-Turki, Ronald F. Perry
Surendra M. Gupta
It is well known that the performance of the JIT production system is optimum in a deterministic environment. However, real-world situations contain uncertainties in processing times, with which traditional JIT does not deal well. In this paper, we present a newly developed Kanban system that systematically manipulates the number of Kanbans to cope with the discrepancies introduced by the uncertainty in processing times. We illustrate that the performance of this new system is superior to the traditional JIT system in such an environment.
Disposal Decisions Under Predetermined Pricing Policies, Surendra M. Gupta, Srikanth Vadde, Sagar V. Kamarthi
Disposal Decisions Under Predetermined Pricing Policies, Surendra M. Gupta, Srikanth Vadde, Sagar V. Kamarthi
Surendra M. Gupta
The economic progress of product recovery facilities (PRFs) is often bogged down by the inventory imbalances arising from the hard-to-predict arrival rates of discarded products and the stochastic demand trends for the recovered components. In spite of adopting an effective pricing policy a strategy to minimize inventory fluctuations , the inventory levels may skyrocket when there is an unexpected surge in the quantity of discarded products. Under this scenario PRFs have two options: either to dispose the surplus items or to stock them in anticipation of the future demand. This paper is concerned with PRFs optimal disposal decisions when the …
Solving Disassembly Sequence Planning Problems Using Combinatorial Optimization, Surendra M. Gupta, Seamus M. Mcgovern, Sagar V. Kamarthi
Solving Disassembly Sequence Planning Problems Using Combinatorial Optimization, Surendra M. Gupta, Seamus M. Mcgovern, Sagar V. Kamarthi
Surendra M. Gupta
Disassembly activities take place in various recovery operations including remanufacturing, recycling, and disposal. The disassembly line is the best choice for automated disassembly of returned products, a feature that will be become crucial in the future. It is, therefore, important that the disassembly line be designed and balanced so that it works as efficiently as possible. However, finding the optimal balance is computationally intensive with exhaustive search quickly becoming prohibitively large, even for relatively small products. In this paper, we solve the disassemb ly line balancing problem using combinatorial optimization techniques, which are instrumental in obtaining near-optimal solutions to problems …
Disassembly Sequence Planning For Complete Disassembly In Product Recovery, Askiner Gungor, Surendra Gupta
Disassembly Sequence Planning For Complete Disassembly In Product Recovery, Askiner Gungor, Surendra Gupta
Surendra M. Gupta
Disassembly is a key element for retrieving the desired subassemblies and/or parts from a product. However, determining an efficient disassembly sequence plan (DSP) is an NP-complete problem. In this paper, we propose a methodology to generate a near optimum DSP for a product. The methodology is illustrated using an example.
Stochastic And Deterministic Combinatorial Optimization Solutions To An Electronic Product Disassembly Flow Shop, Surendra M. Gupta, Seamus M. Mcgovern
Stochastic And Deterministic Combinatorial Optimization Solutions To An Electronic Product Disassembly Flow Shop, Surendra M. Gupta, Seamus M. Mcgovern
Surendra M. Gupta
Disassembly takes place in remanufacturing, recycling and disposal, with a flow shop being the best choice for automation. The disassembly line balancing problem seeks a sequence which: is feasible, minimizes workstations, and ensures similar idle times, as well as other end-of-life specific concerns. Finding the optimal balance is computationally intensive due to exponential growth. Combinatorial optimization methods hold promise for providing solutions to the problem, which is proven NP-hard. Stochastic (genetic algorithm) and deterministic (greedy/hill-climbing hybrid heuristic) methods are presented and compared. Numerical results are obtained using a recent electronic product case study.
Optimal Ordering Policy In A Disassembly-To-Order System With Limited Supply And Quantity Discount, Surendra M. Gupta, Amre Z. Massoud
Optimal Ordering Policy In A Disassembly-To-Order System With Limited Supply And Quantity Discount, Surendra M. Gupta, Amre Z. Massoud
Surendra M. Gupta
This paper considers the disassembly-to-order (DTO) problem where a variety of returned products are disassembled in order to satisfy the demand for specified numbers of components. The main objective is to determine the optimal number of take-back end-of-life (EOL) products for the DTO system that maximizes the profit. A wide variety of products and subassemblies are considered for disassembly in order to meet the demand of the customers for the different components. Several factors are considered before disassembling any product. Some of the factors include the condition of retuned products, the different number of suppliers offering EOL products, and the …
Calculating Disassembly Yields In A Multi-Criteria Decision Making Environment For A Disassembly To Order System, Surendra Gupta, Prasit Imtanavanich
Calculating Disassembly Yields In A Multi-Criteria Decision Making Environment For A Disassembly To Order System, Surendra Gupta, Prasit Imtanavanich
Surendra M. Gupta
In this paper, we consider the disassembly-to-order (DTO) problem, where a variety of returned products are disassembled to fulfill the demand for specified numbers of components and materials. The objective is to determine the optimal numbers of returned products to disassemble so as to maximize profit and minimize costs. We model the DTO problem using a multi-criteria decision making approach. Since the condition of returned products are unknown, the yields from disassembly are considered to be stochastic. To solve the stochastic problem, we use one of two heuristic approaches (viz., one-to-one approach or one-to-many approach) that convert the problem into …
Disassembly Line Balancing, Askiner Gungor, Surendra M. Gupta
Disassembly Line Balancing, Askiner Gungor, Surendra M. Gupta
Surendra M. Gupta
In this paper, we discuss a new problem, the disassembly line balancing problem (DLBP), which can simply be defined as the optimum assignment of disassembly tasks to the disassembly workstations under the condition that the precedence relationships among the tasks are not violated. The objectives are to meet the demand and to utilize the disassembly line as efficiently as possible. We present a systematic approach to solve a simple DLBP. An example is also presented to illustrate the approach.
Prediction Of Packaging Life-Cycle Design Performance, Surendra M. Gupta, Lerpong Jarupan, Sagar V. Kamarthi
Prediction Of Packaging Life-Cycle Design Performance, Surendra M. Gupta, Lerpong Jarupan, Sagar V. Kamarthi
Surendra M. Gupta
We develop a back-propagation neural network (BPN) to predict the life-cycle design performance for transport packaging. The BPN is constructed and trained on the packaging design attributes to detect hidden relationships among historical or pre-existing life-cycle design data to predict a new concept design through supervised learning, by minimizing the squared difference between the actual and the predicted life-cycle design performance. To this end, the designer could use the predicted life-cycle design in a trade-off analysis and concept selection for a potential packaging design. A case example is used to illustrate the methodology.
Exploring The Impact Of Reality On Mrp Performance, Surendra M. Gupta
Exploring The Impact Of Reality On Mrp Performance, Surendra M. Gupta
Surendra M. Gupta
This paper deals with the sensitivity analysis of MRP under probablistic lead times and demands. A simulation model incorporating a MRP module is described and results obtained from multi-level product structures explored. A total of eight lot sizing rules are considered. The results produced by the simulation model deal with period by period and overall simulation run statistics. These statistics cover service level, average backorder and inventory levels, maximum and minimum backorder and inventory levels, and the number of periods backorders were experienced during the simulation run. Several studies conducted using this simulation model are described.
Identification Of Potential Recovery Facilities For Strategic Planning Of An Efficient Reverse Distribution Network, Surendra M. Gupta, Kishore K. Pochampally, Sagar V. Kamarthi
Identification Of Potential Recovery Facilities For Strategic Planning Of An Efficient Reverse Distribution Network, Surendra M. Gupta, Kishore K. Pochampally, Sagar V. Kamarthi
Surendra M. Gupta
Strategic planning of a distribution 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 recovery facilities that have the potential to efficiently reprocess used-products must be considered in the reverse distribution network design. Due to uncertainties in supply, quality and reprocessing times of usedproducts, traditional forward logistics approaches to identify potential manufacturing facilities are not appropriate for direct adoption in reverse logistics. This paper proposes a mathematical programming approach, taking the above uncertainties into account, to effectively select potential facilities from a set of …