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The general objective of this research was to identify the practices of the mass production industries, on the decisions related to the detection of defective products and to identify relevant criteria, actions, effects and variables to be used in a decision-making model.

A survey questionnaire was developed and structured in 20 questions, with 18 closed questions and 2 open questions. The questions were constructed based on the literature review, with the identification of 15 theoretical and practical concepts of quality. Seven other information requests were included, concerning the initial characterization of the defective items and industry. The company, the product, the processes and the defects were contextualized, and then the decision-making process was framed, to understand the factors that influenced it.

The industries of the Industrial Pole of Manaus discard or rework their defective products influenced by promoting the lowest cost and the required quality. The factors with the biggest influence on decisions are rework and disposal costs, and time available for rework and replacement. The main requirements defined for the decision-making model were: 1) compare the rework and discard options, only if the rework reaches the required quality level; and 2) identify and account the effects of defective items on quality, productivity and costs.

Overall, 109 questionnaires were sent, representing 21.3% (109/512) of the companies at the Industrial Pole of Manaus. The respondents represent 14.6% (75/512) of the population.

Defects can occur, requiring a decision that promotes the lowest cost and the required quality. Quality cost models do not show a systematic analysis for identification, accounting, evaluation of effects and criteria associated with the destination of manufactured defective items. Therefore this research was done to fill this gap.

This paper proposes a decision support model that can be used to help decide the destination of defective products, for mass production industries. The objective of this model is to reduce the cost of the defect, and consequently reduce the total quality costs.

The decision model was developed based on the theory of quality costs and decision-making models, considering the practical aspects of reality through data collection, observation and experience in Industrial Pole of Manaus (Brazil) industries. A decision model adjusted to reality assists in the construction of the decision process, indicating the facts, data collection and the planning of the actions to choose the best alternative.

The specific contributions of this research are: (1) define a sequential structure of actions, effects and costs associated with defective items; (2) allow a comprehensive approach to failure costs, including various elements of lost opportunity costs; (3) minimize failure costs, and consequently reduce total quality costs, without necessarily investing in prevention and assessment; (4) describe the use and application of the built theory; (5) identify the quality cost elements most representative in existence of defective items; and (6) identify improvement points in the management of possible future defective items.

Much of the work of implementation of quality cost models do not emphasize the analysis of the destination of defective items. Also, there are no studies that use decision models with identification, accounting and evaluation of effects and criteria of quality, productivity and cost to define the destination of manufacture defective items.

This paper proposes a new inventory model with inspection policy because in practice the received orders may contain non- conforming (NC) items. So, a buyer who receive an order from a supplier should use an inspection policy.

The inspection policy is assumed to be zero-defect single sampling. Under this policy a lot is accepted only if no defect has been identified in the inspected sample. The fraction of NC is assumed to be a random variable following a Binomial distribution and the number of NC items detected by inspection assumed to be a random variable, which follows a hypergeometric distribution. Order quantity and sample size are the two decision variables. A solution procedure is presented for the proposed model. The proposed procedure presents the optimal solution.

Numerical examples presented to illustrate the procedure outlined for the proposed model and its applicability. The results of numerical examples and comparing them with traditional EOQ model reveal that by the proposed model, the buyer could reduce total cost that shows the efficiency and validity of the proposed model.

The novelty of this paper is the new proposed model that considers inspection policy in inventory management. The proposed model determines sample size as well as order quantity to consider both subject of inventory management and quality control, simultaneously.

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.

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.

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.

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.

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.

The purpose of this paper is to develop the different phases of the implementation of vibration-based maintenance (VBM). Then, the focus will be on the first two stages, namely, the inventory and feasibility study where each step will be translated into a very detailed implementation process through an industrial case study.

The study is based on a state of art on the implementation of the VBM; a survey of national and international experts in the field of VBM and finally an analysis of 30 years of VBM practice in a large Moroccan company in the field of chemical processing, via a collective approach called Diagnostic Court Autonome.

The study showed that improving productivity by reducing downtimes due to vibration defects through effective vibration monitoring is possible and investment in equipment and vibration monitoring personnel is largely justified in the company studied.

This paper presents in detail the two preliminary phases with all procedures describing in a practical way the operating rules to apply and organize the roles of different actors. The work will be useful both to researchers and maintenance managers interested in structuring their vibration monitoring cells.

This technological article deals with a case study to implement an improvement to reduce the machine setup of an industrial process, in addition to the development of people using the A3 methodology for problem-solving.

As a research method, action research was used in a single-case study applied to a motorcycle production company, using the concept of the A3 report for problem-solving as the theoretical basis.

The implementation of the improvement in the process resulted in a reduction of 70.4% of the preparation time (setup) of the machines, thus eliminating the need to add a third production shift.

It has been applied to only one company, so it lacks a feasibility check to be implemented in other companies.

Regarding its practical contribution, the authors first consider that the proposed method can also be applied in small and medium-sized companies (SMEs), since the investment in this problem-solving approach is low without necessarily implementing the lean production system that, it is usually complex, time-consuming and requires the allocation of a substantial amount of resources by companies. The second practical contribution of this work is that the proposed A3 problem-solving methodology can serve as a guide for managers to implement or improve different industrial and service processes.

It has been applied to only one company, so it lacks a feasibility check to be implemented in other companies.

The purpose of this paper is to understand a typology of eco-innovation that best characterizes an innovation incubator, with the aim of strengthening the management of this habitat to leverage the development of new eco-innovation technologies.

The typologies of 22 studies identified in the Web of Science, Scopus, Scielo and Science Direct databases were analyzed through a theoretical and descriptive study and method of systematic literature review. In the typologies analyzed, none were found that fit directly into the environment of an innovation incubator.

The most detailed typology, by Fernando et al. (2015), is characterized as a type of eco-innovation developed in a specific market, but it does not address the characteristics of this innovation habitat, which is the incubator.

Thus, based on the typologies presented, this paper demonstrates the construction of an instrument that contemplates the authors analyzed, with emphasis on its application in incubators.

This paper demonstrates the construction of an instrument that contemplates the authors analyzed, with emphasis on the application in incubators.

This paper aims to investigate Lean Six Sigma (LSS) in the Brazilian context, seeking to identify its main characteristics and opportunities for future research.

This study focuses on a literature review in the area of production engineering and operations management, where 104 relevant scientific publications were identified.

The results show that the most important critical success factor for integrating LSS in Brazil is top management support and commitment. LSS integration occurs predominantly in large industrial companies, being incipient in small and medium-sized enterprises. In general, there is no structured way of applying LSS. A standard framework for LSS is still lacking.

This study is limited to a sample that only comprises Brazilian scientific studies.

Professionals and practitioners can understand the evolution of LSS through practical applications and the main LSS tools used in both the industrial and services sectors. It also points out the critical success factor for the implementation of LSS. The study highlights several roadmaps for LSS implementation adopted by large and modern Brazilian automotive industries based on a robust technological base. This study also contributes to expanding the evidence base of LSS application, both in Brazil and in other countries.

Some suggestions are proposed to clarify the structure and complexity of integrated implementation of LP and SS as well as expand the LSS application in small and medium-sized enterprises. This study is the first to discuss the current situation of LSS in Brazil and provide suggestions to expand LSS in the country. Comparisons of Brazilian LSS literature review with researches of others countries are also presented.