PurposeThe purpose of this paper is to present a new hybrid approach based on criticality analysis and optimisation to deal with spare parts inventory management in the initial provisioning phase in the mining industry. Spare parts represent a significant part of mining companies' expenditures, so it is important to develop new approaches to reduce the total inventory value of these items.Design/methodology/approachThis hybrid approach combines qualitative and quantitative methods based on VED (vital, essential and desirable) analysis, analytical hierarchical process (AHP), and e-constraint optimisation method to obtain the spare parts to be stocked. The study was applied to a large mining company. The mineral sector was chosen due to the great importance to the emerging Brazilian economy and the lack of researches in this sector. In addition, the spare parts have a relevant weight on the total inventory cost.FindingsPresent a novel approach combining multi-objective optimisation and multi-criteria evaluation approaches to tackle the inventory decision in spare parts management. This work also defines and classifies relevant criteria for spare parts management in the mineral sector validated by specialists. The proposed approach achieves an average increase of 20.2% in the criticality and 16.6% in the number of items to be stocked compared to the historical data of the surveyed company.Research limitations/implicationsThis paper applies the proposed approach to a mining company in Brazil. Future research in other companies or regions should analyse the adequacy of the criticality criteria, hierarchy and weights adopted in this paper.Practical implicationsThe proposed approach is useful for mining industries that deal with a large variety of resource constraints as it helps in formulating appropriate spare part strategies to rationalise financial resources at both tactical and strategic levels.Originality/valueThe paper presents a new hybrid method combining the AHP a multi-criteria decision making (MCDM) approach coupled with e-constraint optimisation to deal with spare parts inventory management allowing for a better spare parts inventory analysis in the initial provisioning phase and providing managers with a systematic tool to analyse the trade-off between spare parts criticality and total inventory value.
Recycling has an important role on the reduction of environmental impacts caused by production via raw materials. Due to its importance to the recycling process, this study aimed to help the Recyclable Material Collectors’ Association of the city of São João del-Rei, Minas Gerais, proposing a glass grinder design. The viability of the machine was evaluated, and the components were sized. After these steps, a structural design was made, using concepts related to Materials Selection, Mechanics of Materials, Mechanical Design, Machine Design, Manufacturing Processes and Vibrations. Simultaneously, the process of building the structure was conducted, concerning the search for resources, adapting the theoretical design when needed, and also the documentation and training of the future users. Finally, the project showed satisfactory characteristics considering the primary objectives, and a high reproducibility. It has the potential to present positive social effects and reduce the environmental impact of glass waste. The process by which it was conducted was very simple and efficient, especially regarding the use of basic concepts and simple mathematical relations instead of complex analyses, favoring its application in other low-resource projects aiming mainly for a high safety factor.
A gestão de estoque de peças sobressalentes é complexa e envolve grande quantidade de materiais, o que torna seu gerenciamento difícil. A forma que uma organização gerencia sua reposição de peças sobressalentes está diretamente relacionada ao bom funcionamento das máquinas e equipamentos essenciais para o funcionamento da produção. Classificar a demanda dos itens em estoque é de suma importância para o melhor entendimento das necessidades de compra de peças para reposição, tendo assim um meio de evitar falta e consequentes paradas na produção. O presente trabalho trás em discussão a relação entre a classificação da demanda com métodos de previsão de demanda clássicos com o intuito de construir uma base de conhecimento a ser utilizada por empresas que desejam otimizar o reabastecimento de seus estoques de peças sobressalentes, evitando falta de peças e perda de capital por compras em excesso ou obsolescência.,
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