The remanufacturing continues to demonstrate its efficiency in managing environmental issues caused by industrial activities, and filling gaps identified in other ecological end of life options. Remanufacturing consists in recovering used products to extend their lifetime (rebuilding, refurbishing, and reconditioning operations) and for further use. Since a product is composed of a number of components, and each component has its importance to ensure the good functioning of the different features, the study proposed in this paper will take interest in end-of-life management of the products. Each item is characterized by its grade, based on the performance level of its components (by monitoring their evolution over time) and the improvements resulting from the remanufacturing actions. The objective is to determine, over a horizon divided into several non-homogeneous time periods, the number of items that can be recovered and remanufactured on each period, while minimizing the total cost and the carbon footprint. We propose a mathematical model and a new developed heuristic based solution approach.

Performance and Usage Frequency Based Policy for Products Recovery and Remanufacturing

Smartphones are nowadays one of the most used electronic devices in everyday life. They are known to have an average useful lifespan between 18 and 24 months. Indeed, users are led up to dispose of them at the end of their lifespan, and buy last generation smartphones, increasing thus the electronic wastes. To reduce the environmental issues, we propose in this paper to extend the useful lifespan of smartphones based on recovery and remanufacturing options. The developed remanufacturing policies aim to determine the best decisions to ensure the required level of smartphone performances, with the customer profiles and the recovery and remanufacturing center capacity. We propose a new heuristic which constructs a feasible plan for the recovery and the remanufacturing of used smartphones and determines the grade to achieve for each customer, minimising the economic and the environment generated costs.

Customer behaviour–based multi-objective approach for the recovery and remanufacturing of used products: application to smartphone reconditioning process

Within the smart factory environment, we have a complex system of systems composed of Industry 4.0/digital technologies and assets with varying lifespans. Different degrees of innovation maturity and different lifespans of integrated assets within the industrial internet of things (IIOT) are considered problematic and lead to different perspectives on asset lifecycles as they impact significantly on the asset lifespans. This leads to the loss of a clear end-of-life phase defined in existing Product Lifecycle Management (PLM) models. Through an integrative literature review, this study introduces the concept of nested lifecycles that takes a systems perspective to asset management, and considers subsystems with different lifespans that must be managed holistically by different actors with different perspectives. Additionally, this study provides a framework to derive strategies for lifecycle management by allowing the nested lifecycles to be clearly identified and then addressed. From the theoretical perspective, the notion of nested lifecycles provides a novel viewpoint for the asset management and PLM research community. From the managerial perspective, the proposed framework will help managers identify why and where collaboration between different actors may create difficulties due to their varying outlooks and training.

/pdf/nested-lifecycles-improving-the-visibility-of-product-2688ke90.pdf

Nested Lifecycles-Improving the Visibility of Product Lifespans in Smart Factories

Many manufacturers are currently making efforts to adopt the remanufacturing options to take advantage of its environmental and economic benefits. In this paper, we study an optimization problem arising from the main steps defining the remanufacturing process. Over a time horizon divided into nonhomogeneous predetermined periods, we aim to select, among a set of identical items in use, the items to be recovered and remanufactured to the best grade (equivalent to new product grade). The proposed approach is based on products and components performance evolution and the frequency of usage of customers. A mathematical formulation of the problem is proposed, to minimize the total cost and the total carbon footprint related to recovery (transportation), storage, remanufacturing, and usage. We proposed a constructive heuristic-based solution approach to finding a feasible solution to the considered problem.

Heuristic Based Strategy for Multi-Components Products Recovery and Remanufacturing

The circular economy revolutionized the world of industry especially with the emergence of environmental end-of-life strategies such as remanufacturing. The Remanufacturing consists in a perfect balance between recycling and direct reuse, and has been defined as a process involving three main stages: (1) the used product recovery, (2) the rebuilding, refurbishing, and reconditioning the recovered products and (3) the redistribution of the remanufactured products. In this paper, we study the end-of-life management of a many items of the same product, over a time horizon divided into several periods. Each items is characterized by its quality, based on its remaining lifetime and the level of the improvement undergone by the remanufacturing actions. Our objective is determine the number of items from each level that we can recover on each period and decide for each recovered item, the quality level to achieve. We propose a mathematical model and a hybrid solution approach based on the non-dominated sorting genetic algorithm and a new developed heuristic.

Contribution to the optimisation of products recovery and remanufacturing: a multiobjective non-dominated sorting genetic algorithm based hybrid approach

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Performance and Usage Frequency Based Policy for Products Recovery and Remanufacturing

Customer behaviour–based multi-objective approach for the recovery and remanufacturing of used products: application to smartphone reconditioning process

Heuristic Based Strategy for Multi-Components Products Recovery and Remanufacturing

Contribution to the optimisation of products recovery and remanufacturing: a multiobjective non-dominated sorting genetic algorithm based hybrid approach