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Environmental Practices Of The Auxiliary Companies To The Spanish Automobile Industry, Surendra Gupta, Pilar Gonzalez-Torrea, Beatriz Gonzalez 2010 Northeastern University

Environmental Practices Of The Auxiliary Companies To The Spanish Automobile Industry, Surendra Gupta, Pilar Gonzalez-Torrea, Beatriz Gonzalez

Surendra M. Gupta

The automobile manufacturing industry plays a very important role in a country's economy. The importance of automobile manufacturing industry lies in its sheer size and complexity in terms of the direct and indirect influence it commands across many other industries. While millions of people are employed in the automobile manufacturing industry, it is estimated that more than two and half times that number are employed in the auxiliary companies that supply parts to the automobile manufacturing companies. The auxiliary companies represent a group of businesses of various sizes, types, and geographical locations, producing a vast variety of products ranging ...


Disassembly Sequence Planning For Complete Disassembly In Product Recovery, Askiner Gungor, Surendra Gupta 2010 Northeastern University

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.


Sensor-Embedded Computers For Better Life-Cycle Management, Sagar V. Kamarthi, Surendra M. Gupta, Zeid Ibrahim, Vadde Srikanth 2010 Northeastern University

Sensor-Embedded Computers For Better Life-Cycle Management, Sagar V. Kamarthi, Surendra M. Gupta, Zeid Ibrahim, Vadde Srikanth

Surendra M. Gupta

This research investigates the advantages offered by embedded sensors for cost-effective and environmentally benign product life cycle management for desktop computers. During their use by customers as well as at the end of their lives, Sensor Embedded Computers (SECs) by virtue of sensors embedded in them generate data and information pertaining to the conditions and remaining lives of important components such as hard-drive, motherboard, and power supply unit. A computer monitoring framework is proposed to provide more customer comfort, reduce repair costs and increase the effectiveness of current disassembly practices. The framework consists of SECs, remote monitoring center (RMC), repair ...


Stochastic And Deterministic Combinatorial Optimization Solutions To An Electronic Product Disassembly Flow Shop, Surendra M. Gupta, Seamus M. McGovern 2010 Northeastern University

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.


Modeling Smart Sensor Integrated Manufacturing Systems, Sagar V. Kamarthi, Surendra M. Gupta, Vadde Srikanth 2010 Northeastern University

Modeling Smart Sensor Integrated Manufacturing Systems, Sagar V. Kamarthi, Surendra M. Gupta, Vadde Srikanth

Surendra M. Gupta

Smart sensors and their networking technology when applied in manufacturing environment for monitoring, diagnostics, and control and for data/information collection could dwarf all the advances made so far by the manufacturing community through traditional sensors. Smart sensors can significantly contribute to improving automation and reliability through high sensitivity, self-calibration and compensation of non-linearity, low-power operation, digital preprocessed output, self-checking and diagnostic modes, and compatibility with computers and other subsystem blocks. There is a huge gulf between the existing models of manufacturing systems and the computational models that are required to correctly characterize manufacturing systems integrated with smart sensor networks ...


Goal Programming Approach To The Remanufacturing Supply-Chain Model, Surendra M. Gupta 2010 Northeastern University

Goal Programming Approach To The Remanufacturing Supply-Chain Model, Surendra M. Gupta

Surendra M. Gupta

The current trend of depletion of natural resources due to an ever-increasing number of consumer goods manufactured has led to an increase in the quantity of used and outdated products discarded. From an environmental point of view, it is not only desirable to disassemble, reuse, remanufacture and/or recycle the discarded products, in many cases it can also be economically justified. This situation being the motive, in recent years there have been several studies reported on disassembly, remanufacturing and/or recycling environments. Since ""environmentally conscious manufacturing"" is a relatively new concept that brings new costs and profits into consideration, its ...


Modeling Operational Behavior Of A Disassembly Line, Surendra M. Gupta 2010 Northeastern University

Modeling Operational Behavior Of A Disassembly Line, Surendra M. Gupta

Surendra M. Gupta

In this paper we present a dynamic kanban (pull) system specifically developed for disassembly lines. This type of kanban system is much more complex than the traditional kanban system used in assembly lines. For instance, unlike the assembly line where the external demand occurs only at the last station, the demands in the disassembly case also occur at any of the intermittent stations. The reason is that as a product moves on the disassembly line, various parts are disassembled at every station and accumulated at that station. Therefore, there are as many demand sources as there are number of parts ...


Multi-Kanban Mechanism For Personal Computer Disassembly, Surendra M. Gupta, Kamarthi V. Sagar, Udomsawat Gun 2010 Northeastern University

Multi-Kanban Mechanism For Personal Computer Disassembly, Surendra M. Gupta, Kamarthi V. Sagar, Udomsawat Gun

Surendra M. Gupta

The use of personal computers (PCs) continues to increase every year. According to a 1999 figure, 50 percent of all US households owned PCs, a figure that continues to rise every year. With continuous development of sophisticated software, PCs are becoming increasingly powerful. In addition, the price of a PC continues to steadily decline. Furthermore, the typical life of a PC in the workplace is approximately two to three years while in the home it is three to five years. As these PCs become obsolete, they are replaced and the old PCs are disposed of. It is estimated that between ...


Second-Hand Market As An Alternative In Reverse Logistics, Surendra M. Gupta 2010 Northeastern University

Second-Hand Market As An Alternative In Reverse Logistics, Surendra M. Gupta

Surendra M. Gupta

Collectors of discarded products seldom know when those products were bought and why they are discarded. Also, the products do not indicate their remaining life periods. So, it is difficult to decide if it is ""sensible"" to repair (if necessary) a particular product for subsequent sale on the second-hand market or to disassemble it partially or completely for subsequent remanufacture and/or recycle. To this end, we build an expert system using Bayesian updating process and fuzzy set theory, to aid such decision-making. A numerical example demonstrates the building approach.


Balancing Inventory Generated From A Disassembly Line: Mathematical Approach, Surendra M. Gupta, Badr O. Johar 2010 Northeastern University

Balancing Inventory Generated From A Disassembly Line: Mathematical Approach, Surendra M. Gupta, Badr O. Johar

Surendra M. Gupta

Product recovery is a new trend that many manufacturers practice to minimize the fast depletion of virgin resources and to realize economical benefits from recovering end-of-life (EOL) products. However, the practice of recovering components and materials is challenging as it often requires disassembly. There are many distinctive complications associated with the disassembly process. One of the complications stems from the disassembly line balancing problem (DLBP). DLBP has recently been actively researched in the literature and several heuristic models have been introduced to provide near optimal work contents at each workstation of the disassembly line. However, due to the disparity between ...


Optimal Ordering Policy In A Disassembly-To-Order System With Limited Supply And Quantity Discount, Surendra M. Gupta, Amre Z. Massoud 2010 Northeastern University

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 2010 Northeastern University

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 ...


Optimum Disassembly Sequencing, Surendra M. Gupta, A. J. D. Lambert 2010 Northeastern University

Optimum Disassembly Sequencing, Surendra M. Gupta, A. J. D. Lambert

Surendra M. Gupta

We consider the disassembly sequencing problem subjected to sequence dependent disassembly costs. Because most of the available methods that deal with such problems rely on metaheuristic and heuristic methods, it is desirable to have exact methods available that can at least be applied to medium sized problems to determine if the heuristically obtained solutions are acceptable or not. The conventional integer linear programming (ILP) approaches become unmanageable even for modest product complexity cases. In this paper, we propose an iterative method that repeatedly solves a binary integer linear programming (BILP) problem. The method converges quickly for medium sized problems. We ...


Optimal Production Policy For A Remanufacturing System With Virtual Inventory Cost, Surendra M. Gupta, Kenichi Nakashima 2010 Northeastern University

Optimal Production Policy For A Remanufacturing System With Virtual Inventory Cost, Surendra M. Gupta, Kenichi Nakashima

Surendra M. Gupta

This paper deals with a cost management problem of a remanufacturing system with stochastic demand. We model the system with consideration for two types of inventories. One is the actual product inventory in the factory. The other is the virtual inventory that is being used by the customer. For this virtual inventory, it should be required to consider an operational cost that we need in order to observe and check the quantity of the inventory. We call this the virtual inventory cost and model the system by including it. We define the state of the remanufacturing system by the two ...


Solving A Disassembly-To-Order System By Using Genetic Algorithm And Weighted Fuzzy Goal Programming, Surendra M. Gupta, Prasit Imtanavanich 2010 Northeastern University

Solving A Disassembly-To-Order System By Using Genetic Algorithm And Weighted Fuzzy Goal Programming, Surendra M. Gupta, Prasit Imtanavanich

Surendra M. Gupta

In this paper, Genetic Algorithm (GA) is used to solve the disassembly-to-order (DTO) problem. DTO is a system where a variety of returned products are disassembled to fulfill the demand for specified numbers of components and materials. The main objective is to determine the optimal number of take-back EOL (end-of-life) products for the DTO system which satisfy the desirable criteria of the system. We implement the Weighted Fuzzy Goal Programming (WFGP) to calculate the fitness values in GA process. We also consider product deterioration which affects the yield rates (e.g., older products tend to have lower yield rates for ...


Disassembly Line Balancing, Askiner Gungor, Surendra M. Gupta 2010 Northeastern University

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 2010 Northeastern University

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 2010 Northeastern University

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 2010 Northeastern University

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 ...


A Modified Kanban System For Disassembly, Surendra Gupta, Elif Kizilkaya 2010 Northeastern University

A Modified Kanban System For Disassembly, Surendra Gupta, Elif Kizilkaya

Surendra M. Gupta

We present a new Kanban system specifically developed for material control and scheduling in a disassembly environment. We briefly highlight the differences between the new (modified) and the traditional Kanban system. We assert that in the disassembly environment, the Kanban system is superior to the push system currently practiced in industry. To that end, we consider a case example and test its performance by experimenting with several different scenarios. In all instances, the Kanban system outperforms the push system.


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