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Downstream supply chain (DSC) performance metrics provide a standard framework to assess internal performance. DSC performance metrics can also help balance performance tradeoffs among firms. The purpose of this paper is to develop a survey instrument to determine whether observed performance metrics correspond to the literature and to determine if performance metric systems are used to improve inter‐firm performance.

The survey instrument used in this study was based on SCOR performance attributes consisting of: delivery reliability, responsiveness, flexibility, costs, and asset management efficiency. The survey was completed by 73 members of the Council of Supply Chain Management Professionals (CSCMP) consisting of high‐level managers representing US companies.

One factor explained the underlying one‐dimensional structure of the surveyed Supply‐chain operations reference (SCOR) model as an internal metrics system but the authors did not find convincing support for the notion that external performance metrics are used to coordinate external, DSC inter‐firm activities.

A larger sample size would have allowed more insight into the inter‐relationships of the performance attribute variables. Moreover, the sampling plan limited generalization beyond US firms.

Firms used a standardized performance metric system and did not “pick” among metrics. In addition, firms used metrics independently of the decision to coordinate DSC activities. Perhaps they first learn to coordinate the internal performance and later extend to DSC members.

The paper describes one of the few empirical studies of the SCOR model in US industry.

The aim of this paper is to review metrics and develop a framework for measuring leagile supply chain. Metrics that are applicable in the lean, agile and leagile strategies are identified in the literature and are then combined into a framework that can reflect both agile and lean strategies – the leagile supply strategy.

This work is based on the systematic literature review. Literature was collected, then lean and agile metrics were extracted, analysed, counted and grouped into the framework. Findings are compared against literature on leagile supply chain.

Findings indicate that there are sets of metrics specific to lean strategy, such as are process-focused, cost, productivity, inventory and delivery-based metrics, and specific to agile such as flexibility, responsiveness, information sharing and cooperation. There are also metrics common for both strategies; they are related to time, quality and customer satisfaction. Lean measures are tangible and focused on internal processes and products, while agile measures are targeted at external environment.

The framework could be used by practitioners as a starting point for performance system design.

There is a need to stop looking at lean and agile as separate and distinct supply strategies. Results of this research indicate that lean and agile are interlinked, both are focusing on customer satisfaction and quality. Applying a proposed set of metrics enables to design supply chain measurement system that reflects both strategies to measure leagile supply chain. The framework could be used by practitioners as a starting point for performance system design.

Successful implementation of supply chain collaboration (SCC) by Wal‐Mart has encouraged many manufacturing companies, such as Procter & Gamble, Hewlett‐Packard Co, and West Marine Products Inc., to initiate collaboration. Subsequently, collaboration between suppliers and retailers has become a common practice in many recent supply chains. However, measuring the benefits of collaboration is still a big challenge. Based on supply chain literature and practice, this paper aims to propose a conceptual framework and a standard set of metrics to evaluate the performance of SCC.

The authors discuss two case studies to validate the proposed model. The case study discussions are appropriate to understand the usage of different performance metrics in initial and advanced stages of collaboration.

From the case study it is recognized that the collaborating members in the supply chain are not able to visualise all possible benefits of collaboration. To surmount this issue, the paper proposes a framework to study the performance of companies involved in initial and advanced stages of collaboration.

The classification suggested in this paper on different stages of collaboration and related metrics can guide researchers and practitioners in manufacturing companies to evaluate the performance of SCC.

e‐Supply chains are fast becoming a reality. In order to manage such supply chains efficiently and effectively, traditional measures of supply chain performance are not adequate. The literature search revealed lack of measures and metrics for e‐supply chains. The purpose of this paper is to develop new measures and metrics for monitoring the performance of e‐supply chains.

A framework based on the benefits of e‐supply chains has been used to develop the metrics and measures. The study makes use of focus group discussion by assembling eight experts and practitioners in the field of e‐supply chain to come up with the measures and metrics. A questionnaire is designed with these measures and metrics and is sent to about 300 electronic component manufacturing companies in Malaysia to obtain feedback from the industry practitioners. Appropriate reliability and validity tests are conducted to measure the reliability of the instrument and validity of the constructs.

Through the focus group discussion, this study identifies six metrics and 21 measures. Further validation through the industry practitioners, reveals that these measures are important and some are in use by the industries. The six metrics are: web‐enabled service, data reliability, time and cost, e‐response, invoice presentation and payment and e‐document management metrics.

The study uses a simple framework and a sound methodology to develop new measures and metrics that are relevant for e‐supply chains.

Intense competition forces companies to become involved in supply chain collaboration with their upstream and downstream partners. The key to ensuring that the participating members are progressing on the right track of creating the best‐in‐class practice is to conduct benchmarking. Benchmarking stimulates collective learning for performance improvement that brings benefits to all participating members. However, previous research has focused mainly on supply chain benchmarking at the intra‐company ‐‐ rather than the inter‐company ‐‐ level. Inter‐company benchmarking requires a new perspective for understanding collaborative learning amongst the participating members that encourages them to improve supply chain performance as a whole. This research aims to develop a benchmarking scheme for supply chain collaboration that links collaborative performance metrics and collaborative enablers. The proposed benchmarking scheme can be used to examine the current status of supply chain collaboration among the participating members, identify performance gaps and systematize improvement initiatives.

The purpose of this paper is to present supply chain metrics and to propose a fuzzy-based performance evaluation method for lean supply chain.

To understand the overall performance of cost competitive supply chain the paper investigates the alignment of market strategy and position of the supply chain. Since lean is applicable in many supply chains, the authors propose a set of metrics to evaluate supply chain performance. Moreover, the paper uses a fuzzy model to evaluate the performance of cost competitive supply chains. Fuzzy is an appropriate model method when uncertainty is present. It also allows modelling of a significant number of performance metrics across multiple supply chain elements and processes. Competitive strategy can be achieved by using a different weight calculation for different supply chain situations.

Research provides optimal metrics for lean supply chains. The proposed method can measure the performance of lean supply chains using a fuzzy approach and competitive strategies.

The metrics which have been selected to measure the performance of lean supply chains is particularly applicable for high volume, low-price products.

By identifying optimal performance metrics and applying performance evaluation methods, managers can predict the overall supply chain performance under lean strategy. By identifying performance for each metric they can also categorize the existing performance and optimise them accordingly.

This study provides a performance evaluation method for supply chain managers to assess the effects of lean tools and competitive strategies.

Many researchers have stressed the importance of using the right measures and metrics to manage a supply chain efficiently and effectively and have developed them from different perspectives. The basic purpose of this paper is to consolidate the measures and metrics that have been developed so far, verify the relevance of these measures from the practitioners, produce a usable list with proper classification (database), and demonstrate the use of this database through a case study.

An initial list of metrics and measures is consolidated after analyzing the literature (journals and books) and web sites that deal with supply chains and conducting interviews with industry practitioners. A questionnaire is designed with these measures and metrics and is sent to 300 companies within the electronics industry in Malaysia to obtain feedback from the industry practitioners about the relevance of these measures. A case study is conducted with an electronics manufacturing company to demonstrate the use of the database to identify relevant measures and metrics.

About 838 performance measures form the initial list. From these, the practitioners consider 159 important and very important measures and 135 are in use in the industry. The entire list of measures is classified into the following metrics: Fund flow, Internal process flow, Material flow, Sales and services flow, Information flow, and Partner evaluation. These metrics are further classified into different groups of measures using confirmatory factor analysis.

Only the industry practitioners from electronics industry in Malaysia participate in the study to identify the relevant measures and metrics.

The paper will be valuable to the academicians and practitioners working to develop measures and metrics for manufacturing supply chains.

In humanitarian logistics operations, performance measurement is crucial for effective operation. The purpose of this paper is to develop a set of indicators for humanitarian relief organizations (HROs) for their organizational-level logistics operations.

The authors applied the supply chain operations reference (SCOR) framework to the context of humanitarian supply chains. By taking a bottom-up approach with the support of a large HRO, the authors identified the most important metrics through examining its supply chain processes. The initial metrics are then validated by seven HROs to ensure their applicability in humanitarian logistics operations.

A hierarchical benchmarking framework is proposed, and a set of 26 metrics is identified. The validation of these metrics supports the initial work with all metrics deemed important. It also highlights the implementation difficulty as only five indicators are readily available. The authors further suggested the automation of key logistics processes, which would significantly increase the number of implementable metrics to 14.

The sample size of the validation is small, and the last mile delivery is not covered by the metrics.

With these performance metrics, HROs are able to monitor their logistics performance better with processed-based measures, which may lead to their policy and process adjustments for performance improvement.

The work contributes to performance measurement in humanitarian logistics with a framework of a generic metrics set. The validation result is also original to reveal the state of performance measurement on the ground.

The purpose of this paper is to identify the metrics used in the literature to measure social issues in sustainable supply chains.

A systematic literature review was conducted to identify peer-reviewed articles containing metrics pertaining to social issues in the supply chain. A structured content analysis of each identified article was conducted to extract the metrics. This analysis provided a basis for a frequency analysis to determine how often the various metrics appeared in the literature. The metrics were also analyzed to determine whether they: simultaneously addressed the other areas of the triple bottom line, namely, environmental and/or economic issues; were quantitative or qualitative metrics; and could be classified as absolute, relative or context-based metrics.

A total of 53 unique metrics were identified. The analysis of the results showed that a limited number of environmental (3 metrics) and economic (11 metrics) issues were addressed by the metrics as well. A combination of quantitative (39.6 per cent) and qualitative (60.4 per cent) measurements were used. The vast majority of the metrics (90.6 per cent) were further classified as absolute metrics.

This paper presents one of the first in-depth analyses of metrics used to measure social issues in supply chains. This is important because social issues are often overlooked in research focused on performance measurement in sustainable supply chains.

The purpose of this paper is to compare performance measurement in the humanitarian relief chain with performance measurement in the commercial supply chain, develop performance metrics for the humanitarian relief chain, and present a framework that can be used as a basis for a performance measurement system in the relief sector.

The performance measurement analysis is developed through extensions on an existing performance measurement framework. Details regarding relief chain system were obtained through off‐site and on‐site interviews with relief professionals from World Vision International.

The paper finds that this work yielded: a comparison of performance measurement in the humanitarian relief chain with performance measurement in the commercial supply chain, new performance metrics for the humanitarian relief chain, and a performance measurement framework for the relief chain.

The paper shows that future work includes performance measurement in community involvement and empowerment, performance measurement in community development, performance measurement in the combined relief and development mission, and understanding the role and impacts of cooperation and coordination in the relief chain.

This paper provides a practical procedure for developing effective performance measurement systems for relief logistics processes.

The paper presents to humanitarian relief professionals a new approach to performance measurement for relief logistics and to researchers in supply chain performance a comparison and contrast between performance measurement for relief and performance measurement in the commercial chain, new performance metrics for the relief chain, and implications for modern, quick‐response supply chains.