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Technology is becoming pervasive across all facets of our lives today. Technology innovation leading to development of new products and enhancement of features in existing products is happening at a faster pace than ever. It is becoming difficult for the customers to keep up with the deluge of new technology. This trend has resulted in gross increa...
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Nowadays, the consumption of materials for the production of everyday objects is becoming excessive, impairing the existence and production of natural resources for those manufactured. Therefore, the use of residues from the manufacture of products in order to avoid further waste becomes necessary. In this sense, the conscience design determines th...
The study of returned item inventory management in a closed-loop supply chain system has become an important issue in recent years. So far, investigations about inventory decision making in a closed-loop supply chain system have been confined to traditional forward and reverse oriented material flow supply chain. In this study, we propose an integr...
Nowadays, the consumption of materials for the production of everyday objects is becoming excessive, impairing the existence and production of natural resources for those manufactured. Therefore, the use of residues from the manufacture of products in order to avoid further waste becomes necessary. In this sense, the conscience design determines th...
Citations
... The model aims at minimizing the overall system operating costs and a genetic algorithm is also developed for calculating the optimal result. Mahapatra et al. [15] formulated a deterministic optimization model for minimizing the total costs of an integrated network in manufacturing. The model aims to simultaneously determine the level of both manufactured products in forward supply chain and remanufactured products in reverse logistics. ...
Reverse logistics is believed to be one of the most promising solutions for capturing the remaining values from used products and has been extensively focused by both academics and practitioners during the past two decades. Conceptual framework, mathematical programming and computational algorithms have been developed for decision making at strategic, tactical and operational levels of a reverse supply chain. In this paper, a novel idea for the design and planning of a general reverse logistics network is suggested and formulated through multi-objective mixed integer programming. The reverse logistics system is an independent network and comprises of three echelons for collection, remanufacturing, recycling, energy recovery and disposal of used products. The mathematical model not only takes into account the minimization of system operating costs, but also considers minimization of carbon emissions related to the transportation and processing of used products, and the minimum rate of resource utilization is also required in order to minimize the waste of resources in landfill. Illustration, sensitivity analysis and numerical experimentation are given to show the applicability and computational efficiency of the proposed model. This work provides an
alternative approach to account both economic and environmental sustainability of reverse logistics system. The result explicitly shows the trade-off between the costs and carbon emissions, cost effectiveness for improving environmental performance, and influences from resource utilization, all of which have great practical implication on decision making of network configurations and transportation planning of reverse logistics system. For future development of this work, suggestions are also given latter in this paper.
Minimizing a company’s operational risk by optimizing the performance of the manufacturing and distribution supply chain is a complex task that involves multiple elements, each with their own supply line constraints. Traditional approaches to optimization often assume determinism as the underlying principle. However, this paper, adopting an entropy approach, emphasizes the significance of subjective and objective uncertainty in achieving optimized decisions by incorporating stochastic fluctuations into the supply chain structure. Stochasticity, representing randomness, quantifies the level of uncertainty or risk involved. In this study, we focus on a processing production plant as a model for a chain of operations and supply chain actions. We consider the stochastically varying production and transportation costs from the site to the plant, as well as from the plant to the customer base. Through stochastic optimization, we demonstrate that the plant producer can benefit from improved financial outcomes by setting higher sale prices while simultaneously lowering optimized production costs. This can be accomplished by selectively choosing producers whose production cost probability density function follows a Pareto distribution. Notably, a lower Pareto exponent yields better supply chain cost optimization predictions. Alternatively, a Gaussian stochastic fluctuation may be proposed as a more suitable choice when trading off optimization and simplicity. Although this may result in slightly less optimal performance, it offers advantages in terms of ease of implementation and computational efficiency.
Recycling of waste plastics is a solution to the threat it possesses to the environment caused with respect to the disposal of such plastic waste, while many such ways have been in common practice in the industry in the recent past. The study is undertaken to investigate current SWM process in India, along with understanding how these practices do not result in any environmental benefit. While doing so we also work on finding alternate solution to the current SWM system and using the Reverse Logistics process in order to undertaken the SWM process in a proper manner which provides an overall benefit to the environment and the organisation(in business terms) by the process; compared to the production of the virgin plastic and composites, the process of reverse logistics and the waste disposal methods, is shown to be a superior alternative in the environmental and business aspect as the final result of the process provides with better cost saving techniques in both the process of disposing off and making of virgin plastics, we herewith also provide some conclusive suggestion for substituting the production of virgin plastic for the manufacturing process of these daily use items by incorporating the plastic brought back into the system in order to provide a better sustainable environmental solution. The study also takes into consideration the collection process and the overall Reverse Logistics and supply chain process find a solution to impact on the business. The recommendations provided with a purpose of achieving higher business and environmental benefits.
Engine re-manufacturing factory runs comparatively smaller but more changeable business than normal engine manufacturing factory. Therefore, it needs a simple, quick, effective, but less costly approach for process planning. This paper proposes a novel rapid simulation approach, named as Efficiency Validate Analysis, which can serve as process planning and process analysis tools. This approach is developed based on the flexible simulation framework and discrete event system specification formalism (DEVS). Internet-of-Things (IoT) data, in terms of the historical records of sensors and radio frequency identifications (RFIDs), is adopted to build the foundation of simulation. This new simulation approach is evaluated with a case in an engine re-manufacturing plant in China. By comparing with traditional methods, the results show that the new approach supports process planning tasks more effectively. This approach offers a simple but practical way to combine the virtual information world with the entity physical world and drive their bidirectional mapping in re-manufacturing process planning, analysis and optimisation.
The establishment of disassembly plants and the creation of product
designs which specifically facilitate disassembly are enabling
manufacturers to carry out item segregation. Item segregation is
defined as the separation from an assembly of a part or a group of parts
by following a reverse assembly process. Once segregated, the items can
be reused, recycled or discarded. However, there are operational
problems associated with item segregation. Foremost among these are the
lack of planning and scheduling mechanisms, difficulty in coping with
reverse flow of materials and item explosion. Despite the economic and
environmental benefits of disassembly, researchers and practitioners are
lagging behind in developing methodologies to address the operations and
production planning and control issues associated with item segregation.
These issues are addressed.
