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The purpose of this paper is to present a conceptual framework for performance measurement (PM) for the integration of supply chain management (SCM) and quality management (QM).

A systematic literature review on SCM and QM was conducted to develop key performance measures related to six areas of integration between QM and SCM: leadership; continuous improvement and innovation; sustainability performance; stakeholders; information system; and management and strategic planning.

Supported by the literature concerning to supply chain quality management (SCQM) integration, a set of nine propositions about performance measures, that contribute to the integration of SCQM, were developed.

This study contributes to QM practices within a supply chain environment from an integrated perspective. Additionally, the propositions have significant implications from both managerial and theoretical perspectives. This study also extends the concept of supply chain quality integration by focusing on key aspects of PM that may help to improve the overall performance of the supply chain.

This paper aims to present and discuss an innovative maturity model (MM) to assess supply chain quality management (SCQM). The SCQM MM can be used to guide organizations in the development and improvement of quality in their supply chains (SCs). Additionally, this paper intends to better understand that integration and its impacts on organizational performance.

The proposed MM was developed based on an exhaustive literature review of the most relevant MMs developed in the areas of quality management, supply chain management and other relevant domains.

The proposed MM consists of a matrix with 100 criteria organized in five organizational dimensions and five maturity levels, embracing the most relevant SC issues and describing a progressive path towards a state of full maturity.

It is an innovative tool useful for both academic experts and practitioners to integrate quality management across the SC, thus promoting and improving organizational performance from an integrated and sustainable perspective.

In this paper, Supply Chain Quality Management dimensions are empirically tested in order to understand their impact on the organization performance based on the Balanced Scorecard perspectives.

In order to validate the theoretical model proposed, an empirical study was carried out, supported by a large-scale questionnaire and statistical analysis.

Results show that all the Supply Chain Quality Management dimensions have a significant positive correlation in the four Balanced Scorecard performance perspectives. Product/service quality and quality culture dimensions were the ones that presented the highest average scores. No significant differences were detected in any dimension for the different regions considered in this study.

The present research can help companies to achieve a better performance in the analyzed perspectives: customer, financial, internal process, and learning and growth. This work also contributes to the existing body of knowledge on Supply Chain Quality Management, analyzing its impact on organization performance, considering a more embracing perspective.

A single supply chain management (SCM) practice will have a certain impact on organizational performance (OP). However, since it is placed in a system that many other practices are conducted simultaneously, the practice itself will interact with other ones (i.e. affect/be affected). As a consequence, the efficiency of the affected practice is increased and it is expected to maximize the impact of SCM practices on OP. This mechanism is named the “resonant” influence that is a new approach in the SCM literature. The purpose of this paper is to test the above mechanism toward an insight into the relationship between SCM and OP.

Two models were compared: the competitive models only exist in direct effects; and the other contains relationships between practices that are able to show the mechanism of the resonant influence, i.e. the hypothetical model. A data set gained from Vietnamese garment enterprises was used to validate the mechanism of the resonant influence.

Empirical evidence from Vietnamese garment sector showed that the competitive models could explain 42.8, 26.3 and 34 percent variance of operational performance, customer satisfaction and financial performance, respectively. In the meantime, the hypothetical model containing the resonant influence is capable to explain 69.5, 33.1 and 57.3 percent. For the impact of each SCM practice on OP, all relationships in the hypothetical model are also greater than those in competitive ones. These results supported the mechanism of the resonant influence.

This research provides an insight into the relationship between SCM practices and OP. By the resonant influence, the effectiveness of each affected SCM practice itself is magnified and OP is also increased remarkably.

Understanding the resonant influence, companies can apply this mechanism to enhance effectiveness of SCM practices at the lowest cost. To this end, the SCM practices should be implemented simultaneously as an integrated system rather than independent ones and the structural model proposed in this study is able to be used as “a guide map” for applying this mechanism.

This is one of pioneer empirical studies in the SCM literature that proposed and validated the concept of “resonant influence.”

The purpose of this paper is to develop a theoretical basis for integration of quality management (QM) and supply chain management (SCM). For that purpose, some common practices of both approaches are identified as having impact on the four balanced scorecard perspectives.

The main concepts of SCM and QM were reviewed from the literature in order to develop key practices that are common to both approaches.

The findings suggest that the synergies of QM and SCM can promote the integration of the approaches which will promote a set of significant organizational benefits.

This study focuses on the integration of QM and SCM through their common practices. This issue has not been broadly explored and for that reason this paper contributes to the understanding of the critical factors for an effective integration of supply chain QM.

The purpose of this paper is to explore the concept of supply chain quality management (SCQM) and to propose a research model that considers the impact of SCQM practices on firm performance.

Based on a comprehensive literature review, SCQM most relevant practices were analyzed and selected. These practices were categorized into four dimensions: upstream (supplier assessment, supplier quality management (QM)), downstream sides of a supply chain (customer focus), internal process (product/service design, process management and logistics) and support practices (top management support, human resource management, information and supply chain integration). The measurement instrument of firm performance was also developed, including three aspects: operational performance, customer satisfaction and financial performance.

An innovative conceptual framework that provides a comprehensive picture covering core dimensions of SCQM and various aspects of firm performance was proposed. This conceptual framework can be used as “a guideline” for theory building and measurement instrument development of SCQM and firm performance. More importantly, on the road to gain a further insight, an extensive structural model that identifies direct and indirect relationships between SCQM and firm performance was also developed. Practitioners/managers can apply this model as “a road map” for implementing SCQM practices.

It is necessary to test the rationality of these models by using empirical studies in different contexts.

The integration of quality and supply chain management still remains limited in the literature. Therefore, it is necessary to have a more focussed approach in assessing QM issues within the internal and external supply chain contexts. This study concentrates on the practices which improve quality aspects of the supply chain, known as SCQM practices. Proposed research models in this paper not only fill out the voids in the literature, but also contribute with conceptual frameworks for theory building in SCQM and firm performance. The authors also expect that this research can offer a useful guidance for measuring and implementing SCQM practices as well as facilitate further studies in this field.

The purpose of this paper is to provide an empirical evidence about the relationship between practices of supply chain management (SCM) and operational performance (OP).

Based on a comprehensive literature review, a set of SCM practices has been identified and selected to develop a conceptual model as well as to establish their relationship to companies’ OP. The measurement scales of the practices were developed in four steps: identification and development of initial instrument; personal interviews and Q-sort; large-scale data collection; and large-scale analysis in order to ensure unidimensionality, reliability and validity. Structural equation modeling was used to validate the model with the data were collected in Vietnamese garment enterprises.

The study consolidated relationships between the SCM practices and OP. According to the research results, these practices have a “resonant” influence on OP that can explain 52.6 percent variance of this output concept. In particular, customer focus and supplier management both direct and indirect impact on OP while top management support and process control/improvement only have indirect and direct influences on OP, respectively.

There are some limitations that can guide academics to new lines of future research: to extend the scope of the survey to include different countries and new situations, so results can be generalized; to consider the impacts of the SCM practices on the entire supply chain performance; and to explore additional factors that can further explain OP, such as operational environment, capital, technology, human resource, etc.

The authors suggest that the SCM practices should be implemented as an integrated system rather than independent practices, in which they interact with each other and improve OP.

The empirical results of this study provide an evidence to consider the SCM practices as reliable predictors for OP. According to the research, these practices interact with each other and have both direct and indirect effects on OP. In other words, through the mutual interaction among the SCM practices, they have the “resonant” influence on improving OP. Moreover, the proposed research model analyzing the relationship among SCM practices and OP and its validation using the Vietnam garment industry provided valuable insights both from theoretical and practical perspectives.

Due to the warming at the automotive market in the last years and consequently the growth of vehicle production has been moved and placed emphasis on the segment. In recent years, some have known, for example, as the earthquake that struck Japan in 2011 was able to disrupt the suppliers of the country. Due to these events, supply chain risk management has become essential to the supply chain operations success. The purpose of this paper is to evaluate the supplier’s systematic selection at the automotive industry compared with the identified models in the literature.

A case study applied at the automotive to propose a method for selecting suppliers considering the risk management.

These results indicate that the organization has established criteria for suppliers selection, this systematic aims to identify the potential risks in the supply chain before the supplier award the project but it’s also the current practice can be improved using as reference the comparative method as applied in this study.

The risk management, a few discussed topic but on the rise among researches, show that the companies, especially those inserted in the automotive segment has been used different techniques for selecting suppliers to focus in a better supply chain control. Establish criteria for selecting suppliers means identifying in advanced the potential risks that the suppliers may offer to the organization during the supply to avoid any interruptions to supply.

As the complexity of the multi-component products increases the quality of these products becomes increasingly difficult to control throughout the supply chain. The first step to manufacturing a quality product is to ensure that the product components from suppliers meet specifications. Product quality can be controlled through sampling inspection of the components. The paper aims to discuss these issues.

The model presented in this paper was developed to determine the optimal sampling levels for incoming lots containing parts for production and assembly of multi-component systems. The main objective of the model is to minimize the expected cost that is associated with a nonconforming item reaching assembly.

In this research, the results showed that even with limited time available for inspection, performing sampling inspection significantly reduced the expected cost of a nonconforming item reaching assembly. The model, solved by the evolutionary algorithm, was able to provide a meaningful, near optimal solution to the problem.

In this model the time available for inspection is limited, the distribution of defects is assumed to follow the binomial distribution, and the distribution of accepting the lot with defects follows the hypergeometric distribution. In addition, the inspection is considered to be accurate and, if a nonconforming item is found in the inspected sample, the entire lot is rejected. An example is given with real world data and the results are discussed as they relate to supply chain management and quality.