A multi-criteria approach for remanufacturing model in a disassembly-to-order system (original) (raw)
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Goal programming approach to the remanufacturing supply-chain model
SPIE Proceedings, 2001
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due to an ever-increasing number of consumer goods manufactured has led to an increase in the quantity of used and outdated products discarded.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 analysis cannot be provided by readily available techniques. This paper presents a quantitative methodology to determine the allowable tolerance limits of planned/unplanned inventory in a remanufacturing supply chain environment based on the decision-maker's unique preferences. To this end, an integer goal-programming model that provides a unique solution for the allowable inventory level is presented. The objective of the supply-chain model is to determine the number of a variety of components to be kept in the inventory while economically fulfilling the demand of a multitude of components, and yet have an environmentally benign policy of minimizing waste generation. A numerical example is presented to illustrate the methodology.
Goal programming approach to the remanufacturing supply-chain model
Environmentally Conscious Manufacturing, 2001
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due to an ever-increasing number of consumer goods manufactured has led to an increase in the quantity of used and outdated products discarded.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 analysis cannot be provided by readily available techniques. This paper presents a quantitative methodology to determine the allowable tolerance limits of planned/unplanned inventory in a remanufacturing supply chain environment based on the decision-maker's unique preferences. To this end, an integer goal-programming model that provides a unique solution for the allowable inventory level is presented. The objective of the supply-chain model is to determine the number of a variety of components to be kept in the inventory while economically fulfilling the demand of a multitude of components, and yet have an environmentally benign policy of minimizing waste generation. A numerical example is presented to illustrate the methodology.
A Multi-Criteria Decision Making Approach for Disassembly-To-Order Systems
Journal of Electronics Manufacturing, 2002
In this paper, we present a multi-criteria optimization model of a disassembly-to-order system to determine the best combination of the number of each product type to be taken back at the end-oflife and disassembled to meet the demand for items and materials retrieved from them under a variety of physical, financial and environmental constrains so as to achieve the preemptive goals of maximum total profit, maximum sales from materials, minimum number of disposed items, minimum number of stored items, minimum cost of disposal and minimum cost of preparation, in that order. When solved, the model provides the number of reused, recycled, stored and disposed items as well as the values of a host of other performance measures. A case example is presented to illustrate the model's implementation.
Weighted Fuzzy Goal Programming Approach for a Disassembly-to-Order System
2006
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 main objective is to determine the optimal number of take-back EOL products for the DTO system that satisfy the desirable criteria of the system. Since the objectives of the DTO system always have different priorities and uncertain aspiration levels, weight-priority assignment and fuzzy sets theory have been applied to a multi-criteria decision-making approach to solve the problem. In addition, we consider product's deterioration that affects the product's yield rates (e.g., older products tend to have lower yield rates for usable components) and use heuristic procedure to transform the stochastic disassembly yields into their deterministic equivalents. The DTO plan is generated for multiple periods. A numerical example is also considered.
2010
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 find the best combination of take-back EOL products to be purchased from every supplier that would satisfy the demand and achieve the aspiration levels of multiple goals. An example is considered to illustrate the model approach.
A multi-criteria decision making model for advanced repair-to-order and disassembly-to-order system
European Journal of Operational Research, 2014
Sensor-embedded products (SEPs) eliminate a majority of uncertainties involved in product recovery by providing item-based life-cycle information. This information includes the content of each product and component conditions, and enables the estimation of remaining useful life of the components. Once the data on the products are captured, it is possible to make optimal recovery decisions without any preliminary disassembly or inspection operations. This paper presents a multi-criteria advanced repair-to-order and disassembly-to-order (ARTODTO) system for SEPs. ARTODTO system deals with products that are embedded with sensors and RFID tags. The goal of the proposed approach is to determine how to process each and every end-of-life product (EOLP) on hand to meet remaining life based product and component demands as well as recycled material demand while optimizing an aggregate objective function. Demands are met by disassembly, repair, and recycling operations. Outside component procurement option is used to eliminate the component and material backorders. A linear physical programming (LPP) model is proposed to optimize the multi-criteria ARTODTO system. The LPP approach is explained in detail and a case example is considered to illustrate its application.
2006
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 conditions of returned products are unknown, the yields from disassembly are considered to be stochastic. To solve the stochastic problem, we use one of the two heuristic approaches (viz., one-to-one approach or one-to-many approach) that converts the problem into a deterministic equivalent. We compare the performance of the two heuristic approaches using a case example.
Modeling and optimization of remanufacturing operations of spent products for sustainability
2015
In last century, the world has witnessed a great deal of technological and industrial progress. Branded products manufacturers have been competing in introducing new versions of their products frequently. Retailers and banks have been developing relaxed paying systems to fund the purchase of these new products. Exchanging strategies have been initiated by companies for customers to exchange their old version product for the latest versions. Such exchanging strategies are famous for vehicles, mobiles, and electrical appliances. Hence, a huge amount of unused or spent products are generated every day. Many researchers have been developing different models for dealing with the decisions related to remanufacturing operations. However, there is no decision making system the manufacturers could use for cost / benefit assessment of disassembling and recovering these products that considers the following points: (1) evaluating the value of recovering the whole product versus value associated with recovering its disassembled items , (2) using Multi-Objective Mixed Integer Linear Programming (MILP) to assign spent products and their items to various recovery alternatives considering their received physical conditions, (3) selection of operations for items is not limited by a fixed regular production-hour capacity for each operation, (4) model assumptions, constraints, and formulation that satisfy the three aspects of sustainability, which are economic, social responsibility, and environmental aspects in one step model , (5) considering other vital dimensions which are the quality of recovered products and the minimum batch size for vending recycled materials, (6) utilizing the recycling operation in the optimum way that increases revenue from vending isolated materials. The thesis addresses these points using mathematical modeling and optimization for the remanufacturing operations of spent products.
In last century, the world has witnessed a great deal of technological and industrial progress. Branded products manufacturers have been competing in introducing new versions of their products frequently. Retailers and banks have been developing relaxed paying systems to fund the purchase of these new products. Exchanging strategies have been initiated by companies for customers to exchange their old version product for the latest versions. Such exchanging strategies are famous for vehicles, mobiles, and electrical appliances. Hence, a huge amount of unused or spent products are generated every day. Many researchers have been developing different models for dealing with the decisions related to remanufacturing operations. However, there is no decision making system the manufacturers could use for cost / benefit assessment of disassembling and recovering these products that considers the following points: (1) evaluating the value of recovering the whole product versus value associated with recovering its disassembled items , (2) using Multi-Objective Mixed Integer Linear Programming (MILP) to assign spent products and their items to various recovery alternatives considering their received physical conditions, (3) selection of operations for items is not limited by a fixed regular production-hour capacity for each operation, (4) model assumptions, constraints, and formulation that satisfy the three aspects of sustainability, which are economic, social responsibility, and environmental aspects in one step model , (5) considering other vital dimensions which are the quality of recovered products and the minimum batch size for vending recycled materials, (6) utilizing the recycling operation in the optimum way that increases revenue from vending isolated materials. The thesis addresses these points using mathematical modeling and optimization for the remanufacturing operations of spent products.
Heuristics for demand-driven disassembly planning
Computers & Operations Research, 2007
Remanufacturing of used products has become accepted as an advantageous disposition option within the field of reverse logistics. Remanufacturing, where a firm takes returned products at the end of their life and disassembles them to obtain parts which are reassembled into ...