Given the need for a quick response to today's dynamic market, the maintenance function is considered increasingly important for industrial companies. Waste elimination, in particular the reduction of work in process and overproduction, required by Lean Manufacturing methodology that has spread across industries, highlights and also increases the impact of failures or malfunctions of equipment on productivity. Managing maintenance involves several activities such as: planning of preventive maintenance actions; scheduling of activities considering available resources and planned production; management of spare parts; analysis of data to reduce the occurrence of failures and to improve performance of the maintenance function. To support this function, companies adopt information systems designated by computerized maintenance management systems (CMMS) to provide timely and accurate information. Several CMMS are offered in market. However, its main drawback is that they do not perfectly match the particularities of each company. Thus, many companies prefer to develop their own system. This paper presents an ongoing project aiming to develop a CMMS for a manufacturing company. Crucial phases of the project, involving the identification of requirements and the specifications of the system, are described in detail, showing the approach that was followed and reflecting about its effectiveness and efficiency

Spare parts management is a function of maintenance management that aims to support maintenance activities, giving real-time information on the available quantities of each spare part and adopting the inventory policies that ensure their availability when required, minimizing costs. The classification of spare parts is crucial to control the vast number of parts that have different characteristics and specificities. Spare parts management involves mainly two areas, maintenance and logistics. Therefore, the integration of both input information is recommended to make decisions. This paper presents a multi-criteria classification methodology combining maintenance and logistics perspectives that intends to differentiate and group spare parts to, subsequently, define the most appropriate stock management policy for each group. The methodology was developed based on a case study carried out in a multi-national manufacturing company and is intended to be included in its computerized maintenance management system to support decision-making.

Purpose: The purpose of this paper is to develop a new maturity model to identify the current state of maintenance area of organizations and drives actions to increase efficiency and effectiveness toward the concept known as world-class.Design/methodology/approach: The model was developed based on an extensive literature review on maintenance management and maturity assessment, which allowed identifying the relevant factors in maintenance management and the world-class behaviors for each factor. The progressive maturity levels for each of the identified ten factors form the model. To test its effectiveness, it was applied to the maintenance area of three companies.Findings: The model application showed that, in addition to being a self-assessment tool, it provides knowledge, to those who use it, on behaviors or practices that enable world-class results. For each factor, potential gaps and the desired state were defined focusing on behaviors rather than on indicators values or adopted methodologies, which facilitates the identification of improvement actions that lead to better performance.Research limitations/implications: Through its use, maturity levels can be identified for all considered maintenance management factors, however, the overall maturity of the maintenance area is not determined. Although this overall evaluation can be done assigning a weight to each factor, it was not considered an added value for the set purpose.Originality/value: The proposed maturity model contributes to the understanding of the maintenance management process and how to stand out nowadays in an area that has an increasingly important impact on productivity and quality.