A multi-criteria approach for remanufacturing model in a disassembly-to-order system (original) (raw)
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due to an ever-increasing number of consumer goods manufactured has led to an increase in the quantity of used and outdated products discarded.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due to an ever-increasing number of consumer goods manufactured has led to an increase in the quantity of used and outdated products discarded.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.
A Fuzzy Goal Programming Approach to Disassembly Planning
Today, the amount of waste created by the disposal of end-of-life products has reached epidemic proportions. A major contributing factor of this phenomenon is the shortened life times of products. The most effective way to address this problem is to optimize the end-of-life (EOL) processing activities of products. There are many alternatives for the EOL processing of products, e.g., reuse, recycle, storage and proper disposal. All of these activities require a certain level of disassembly. Since disassembly tends to be a very expensive operation, special attention should be given to it for it to be efficient. For this reason, disassembly process pl anning, which provides a feasible sequence of disassembly, has been the focus of several recent studies. We present a disassembly-to-order system where the products are taken back from the last user and/or collectors, disassembled for the retrieval of reusable components and resold in order to meet a certain level of demand. We model it as a multicriteria decision making problem under uncertainty using the fuzzy goal programming technique. A case example is provided to illustrate the methodology.
2010
Environmental protection legislation, consumer interest in "green" products, a trend toward corporate responsibility and recognition of the potential profitability of salvaging operations, has resulted in increased interest in product take back. However, the cost effectiveness of product take-back operations is hampered by many factors, including the high cost of disassembly and a widely varying feedstock of dissimilar products. Two types of decisions must be made, how to carry out the disassembly process in the most efficient manner to "mine" the value-added that is still embedded in the product, and then how to best utilize that value-added once it is recovered. This paper presents a method for making those decisions. The concept of a transition matrix is integrated with mixed integer linear programming to determine the extent to which products should be disassembled and simultaneously determine the optimal end-of-life (EOL) strategy for each resultant component or subassembly. The main contribution of this paper is the simultaneous consideration of selective disassembly, multiple products, and the value added that remains in each component or subassembly. Shared disassembly operations and capacity limits are considered. An example using two cell phone products illustrates application of the model. The obtained results demonstrate the most economical level of disassembly for each cell phone and the best EOL options for each resultant module. In addition, the cell phone example shows that sharing disassembly operations between different products makes disassembly more cost effective compared with the case in which each product is disassembled separately.
Decision-Maker-Centered Disassembly Process Planning
This paper presents a multi-criteria model for the information and product flow in a disassembly-toorder environment. We assume that the used products are retrieved from the last user and/or collector and are disassembled in order to satisfy a certain demand for products, parts or materials while achieving various financial and "environmentally benign" goals.
A Mathematical Modeling Approach for Materials Requirements Planning in Remanufacturing
Business and Economics Research Journal, 2017
Remanufacturing has become an ever more important topic due to a growing need for environmentalfriendly production strategies and an efficient use of resources. Traditional materials requirements planning (MRP) methods need to be adjusted in line with these new manufacturing environments where both manufacturing and remanufacturing are involved. In this study, a mathematical programming model is formulated for materials requirements planning decision in a multi-product, multi-period remanufacturing system where the assembly of final product is done both through use of parts procured from the disassembly of returned (used) (core) products and by ordering new (unused) parts. The decisions regarding the purchase and disassembly of new parts or used products as part of materials requirements planning are made for the purpose of minimizing the costs. The developed model takes into account, in a deterministic manner, the quality of the product to be disassembled, disposal cost of defective cores, lead time for purchasing new parts, disassembly bill of materials, disassembly capacity and disassembly time of each part. The mathematical model is illustrated through application to a sample problem, and an experimental design is provided in order to identify the ways in which different conditions in a manufacturing environment affect the total cost of the system.
Inventory Control Model for Remanufacturing
2013
The global demand for consumer electronic products has been phenomenal in the last two decades. The negative environmental effects of the growing consumption of electronic hardware are most visible in the end-of-life (EOL) stage. Remanufacturing is a viable option in electronic waste management as it reduces e waste generation and increases reuse of equipment and components. Inventory control in remanufacturing requires appropriate control mechanisms to integrate the return flow of used products with the material planning for the forward flow. The mechanism is different for remanufacturing or reuse, where used products are returned for introduction into the main production stream. In this case, returned goods are an additional inventory source to the usual inventory procured from outside. Moreover, this additional flow is not directly available to the manufacturer because of the unpredictable quantity, time and quality of products that will be returned from the customers. The paper ...
International Journal of Engineering and Technology, 2017
In recent years, remanufacturing, recycling and disposal of product after its end of life has been increasing attention of companies not only due to environmental regulations but it is great profitable in terms of cost. In this paper, a mathematical model was developed considering production of the products with remanufacturing facility for used products, collection/disassembly and disposal facility units for recovery of used products from the customer domain. The manufacturer serves a stationary demand by producing new items of product as well as by remanufacturing the collected used items of product or disposes them after analysis of used products at collection/disassembly units. The return rate of used item is formulated as a demand like function of purchasing price and accepted quality level of used products. In this work, particle swarm optimization is proposed to solve the model and validated with a cased study. The numerical results showed that a mixed strategy of pure production and remanufacturing is optimal with scope of environment regulations. Keyword-Used products, Remanufacturing, Disposal, Particle swarm optimization I. INTRODUCTION Rapid industrialization causes pollution and global warming which have adverse effects on the environment and this creates a need to utilize the resources to the fullest in a proper manner. The activities of the firm should not be hazardous to others. That is the firm to be eco-friendly and to meet all the norms which are laid down by the government. One of the best ways to meet the above specified requirements is that the firm should utilize the used products returned by the customers. This method in fact reduces the cost of manufacturing while being eco-friendly. The basic idea behind this paper is to develop an inventory and distribution model in supply chain network considering used products with their return ratio for remanufacturing or disposal. The work related to considering environmental criteria in supply chain decision process as a case study in [1] and the relationship between environmental uncertainty and flexibility in supply chain with performance in a manufacturing company [2] are indicating the importance of used/returned products in the supply chain. A study is carried on generic stochastic model for the design of networks comprising both supply and return channels, which was organized in a closed loop system [3]. Single echelon forward network combined with two echelon reverse network is considered in the study. A work on assessing performance and uncertainty in developing carpet reverse logistics systems is presented in [4]. The reverse supply chain considering design and environmental factors is simulated in the work. Various network design parameters are analysed for better recycling technologies and optimizing growth and possible management options.A work on production planning of a hybrid manufacturing-remanufacturing system under uncertainty within a closed-loop supply chain is presented in [5]. The work dealt with production planning and control of a single product involving manufacturing and remanufacturing operations within a closed loop reverse logistic network with machines subject to random failures and repairs. A work on the generic model of reverse logistics network design considering both repairing and remanufacturing options is presented in [6]. Branch and bound technique applied for developed mixed integer formulation in the work. The similar work is carried out, but stochastic environment is considered [7]. Fuzzy optimization method is proposed to the inventory control and production planning problem of reverse logistics with remanufacturing and disposal recovery routes [8]. An information and communication management model is proposed for electronic components in supply chain with the option of the dispose of electronic waste and developed a WEB portal for the application purpose. Managerial implications of economic value and regulation of closed loop supply chain with correlated demands and returns are presented in [9]. The study on the single product production and inventory system with remanufacturing/reuse of return products and focusing on the rate of return products as a demand function of purchasing price and quality level is presented in [10].The deterministic and stochastic models for two-echelon suppy chain with demands and returns of products under cost structures are developed and numerical analysis carried out in [11].