Measuring supply chain performance

Performance measures and metrics (PMM) is identified to be an essential aspect of managing diverse supply chains. The PMM improves the firm’s performance by providing open and transparent communication between the various stakeholders of an organisation. The literature suggests that big data analytics has a positive impact on the supply chain and firm performance. Presently, the literature lack studies that recognise the PMM relevant to big data-driven supply chain (BDDSC). The present study is based on a comprehensive review of 66 papers published with the primary objective to identify the various PMMs used to evaluate the BDDSC. The findings suggest that the PMMs applicable to BDDSC can be classified into two non-mutually exclusive categories. The first category represents 24 performance measures used to evaluate the performance of the big data analytics capability and the second category represents 130 measures used for assessing the performance of BDDSC processes. The study also reports the emergence of new performance measures based on increasing use of predictive and social analytics in BDDSC. Based on the results of the study a framework on BDDSC performance measurement system is proposed which will guide the managers to have a robust performance measurement system in their organisation.

The purpose of this paper is to explore the interactions among the imperative barriers of supply chain performance measurement (SCPM) system implementation in the Indian automotive companies. The Indian automotive companies have been facing various issues in implementation of SCPM system. We have used interpretive structural modelling (ISM) approach to investigate the interaction among different barriers in implementation of SCPM system in the Indian automotive industry. The results indicate that lack of awareness related to SCPM system and lack of top management dedication are the most significant barriers. On the other hand, disinclination of the support from distributors, dealers, retailers, lack of training manpower, and inefficient information technology system are the weak barriers. The results also reveal that there is a strong dependence among the barriers. Finally, various guidelines are provided for improving the performance and efficiency of the Indian automotive supply chains.

PurposeThe purpose of this article is to propose a common framework for the empirical analysis of supply chain performance measurement systems used in different supply chain contexts.Design/methodology/approachThis is a conceptual paper, which includes an extensive literature review and an illustrative case study. The content, context, process framework is applied to structure the body of knowledge and the case study.FindingsSupply chain performance measurement is a context‐dependent process, tailored to specific supply chain requirements. To understand how a performance measurement system in a supply chain has developed and is used there is a need to capture its context, process and content.Research limitations/implicationsThe framework is illustrated by a single case study. Further empirical research is required to fully appreciate the breadth of application of this framework.Practical implicationsThe proposed framework can help to develop performance measurement systems that are suitable for certain organisational and supply chain contexts in which a company operates, as well as to compare different systems used across different supply chains.Originality/valueThe paper demonstrates an approach for analysing existing supply chain performance measurement systems that can be applied across different supply chains and sectors. This will create an opportunity to use a consistent data collection process across a variety of supply chain situations and thus generate data for further theory development.

This paper is to investigate the current challenges, trends, relevance and the concept of supply chain performance measurements in developing nation basic metal industries. This paper gives an overview of different performance measurement tools that can be applied to measure and improve the supply chain systems of an organization. Since the study is focuses on supply chain performance measurements practices in the Ethiopian basic metal industries. The paper identifies and discusses the main motives and impact of supply chain performance measurement practice on the performance of basic metal manufacturing industries in Ethiopia and provided solutions to areas that needed improvement. While the study reviews the relevance of the main strategies, models and tools to measure the performance of supply chain in manufacturing industries is done though the research is conducted based on a qualitative methods. Structured questionnaires, field observation and oral interviews research techniques is use to get primary data from the sectors. Performance measure sets is identified through descriptive analysis. This study found that, large number of companies that now accomplish performance measurement systems at local and global level. Even though, most manufacturing firms use traditional performance measurement systems such as financial performance measurement systems. But this traditional performance measurement systems were not properly evaluates the performance and competitiveness of the whole supply chain systems of manufacturing sectors. Also according to this research proposes that the concept of supply chain performance measurement is not fully hold by the Ethiopian basic metal industries and highlights the difficulties associated with its implementation. Therefore, to tackle the challenges and attempt to the current performance measurement limitations, further studies need to involving other sectors and industries needs to be undertaken in order to gain an in-depth understanding of the key factors associated with the accomplishment of supply chain performance measurement practices in Ethiopia.

In the recent years, supply chain has been recognized as a key factor of companies' success and particularly one of the best means by which companies can achieve a goal of paramount importance: enhance customer satisfaction. That is why performance measurement and management systems of supply chain (SC PMMS) became a crucial topic for enterprises and particularly for multinational corporations. This paper intended to provide a critical literature review on measurement and management of supply chain performance. To do so, relevant works appeared in the international journals from 2000 to 2015 are gathered and analysed. The purpose of this paper is to contribute to a more complete understanding of the current challenges related to SC PMMS, which should help future research works related to this topic. Findings reveal that supply chain performance management is clearly less broached in comparison with performance measurement of supply chain. The topic is still an open research area. In particular, the study highlights the lack of systems thinking to face current challenges of the field.

Purpose Existing supply chain (SC) performance models are not able to cope with the potential of intensive SC digitalisation and establish a relationship between decisions and decision criteria. The purpose of this paper is to develop an integrated knowledge-based system (KBS) that creates a link between decisions and decision criteria (attributes) and evaluates the overall SC performance. Design/methodology/approach The proposed KBS is grounded on the fuzzy analytic hierarchy process (fuzzy AHP), which establishes a relationship between short-term and long-term decisions and SC performance criteria (short-term and long-term) for accurate and integrated Overall SC performance evaluation. Findings The proposed KBS evaluates the overall SC performance, establishes a relationship between decisions (long-term and short-term) and decision criteria of SC functions and provides decision makers with a view of the impact of their short-term or long-term decisions on overall SC performance. The proposed system was implemented in a case company where the authors were able to develop a SC performance monitoring dashboard for the company’s top managers and operational managers. Practical implications The proposed KBS assists organisations and decision makers in evaluating their overall SC performance and helps in identifying underperforming SC functions and their associated criteria. It may also be considered as a tool for benchmarking SC performance against competitors. It can efficiently point to improvement directions and help decision makers improve overall SC performance. Originality/value The proposed KBS provides a holistic and integrated approach, establishes a relationship between decisions and decision criteria and evaluates overall SC performance, which is one of the main limitations in existing supply chain performance measurement systems.

Supply chain performance measurement plays a crucial role in supporting operational continuity and corporate competitiveness, especially in meeting the demands for efficiency, effectiveness, and environmental sustainability. Imbalances in supply chain management can lead to resource waste, environmental pollution, and decreased customer satisfaction. PT. Arteria Daya Mulia, a rope manufacturing company, currently lacks a supply chain performance measurement system that fully incorporates sustainability aspects. This study aims to design a performance measurement model based on the Green SCOR framework and the Fuzzy AHP method as a strategic decision-making tool that considers sustainability dimensions. Performance indicators were determined according to the five main Green SCOR processes (Plan, Source, Make, Deliver, and Return), comprising 14 KPIs developed through literature review and field validation. Data were collected through observations, interviews, and questionnaires, then processed using the Fuzzy AHP method to obtain the priority weight of each indicator. The results show that the total supply chain performance score is 88, calculated by combining the weights with the Snorm de Boer values. Several indicators demonstrated excellent performance with a maximum Snorm value (100). However, one critical indicator was identified with the lowest Snorm value—% Error-free Return Shipped in the Return process—scoring 0.02 with a final SCM score of 0.0008, indicating the need for immediate improvement. The developed information system also generates automatic improvement recommendations based on the measurement results. This model is expected to assist the company in monitoring, evaluating, and continuously improving supply chain performance.

PurposeThe purpose of this paper is to determine the key supply chain performance measurement system (SCPMS) implementation variables, on which the top management should focus, so as to improve the effectiveness and efficiency of supply chain (SC).Design/methodology/approachIn this paper, an interpretive structural modeling (ISM)‐based approach has been employed to model the SCPMS implementation variables. These variables have been categorized under “enablers” and “results.” The enablers are the variables that help boost the SCPMS implementation variables, while results variables are the outcome of good SCPMS implementation.FindingsThe paper highlights the variables associated with implementation of SCPMS. A key finding of this modeling is that awareness about performance measurement system (PMS) in SC is a very significant enabler. For better results, top management should focus on improving the high‐driving power enablers such as awareness of PMS in SC, commitment by the top management, consistency with strategic goals, funding for PMS implementation, and effective information systems.Originality/valueIn this paper, an interpretation of SCPMS implementation variables in terms of their driving and dependence powers has been carried out. Those variables possessing higher driving power in the ISM need to be taken care of on a priority basis because there are a few other dependent variables being affected by them.

Purpose– The aim of this paper is to develop a comprehensive framework of supply chain performance that includes relationship, operational, strategic and economic performance measures.Design/methodology/approach– The literature regarding inter-organizational performance including: supply chain management, logistics and marketing performance measures is reviewed. A synthesis of the review provides the foundation for developing a comprehensive model of supply chain management performance.Findings– The review and synthesis finds that supply chain performance focuses primarily on operational and economic performance measures while paying less attention to relational and strategic performance measures. The comprehensive framework identifies four major categories of supply chain performance measures: relational; operational; strategic; and economic – hence the name ROSE.Originality/value– This comprehensive framework identifies four types of supply chain measures that can be used as a guiding framework by both academics and practitioners. The paper also offers directions for future work in the form of propositions.

Risk management and performance measurement should be linked together to enable, to each supply chain partner, to define and guide its overall risk profile, as well as to shape its strategic direction. In this frame, the aim of this paper is to propose and to validate an integrated approach for relating risk management into supply chain performance measurement system. The proposed approach is carried out in two sequential phases. After identifying flow, missions and goals of an organization, the first phase focuses on the application of the Supply chain operations reference (SCOR) model and the Activity Breakdown Structure (ABS) to identify supply chain processes and activities. After that, Risk Breakdown Structure (RBS) and Risk Breakdown Matrix (RBM) are applied to identify critical risks and to give a set of performance metrics that is based on those risks. Finally, the second phase completes this set by using the Balanced Scorecard (BSC) framework. For a validation purpose, the proposed approach is applied to the Higher Institute of Industrial Management (ISGI, Sfax-Tunisia) library. A comparative analysis between the identified metrics and those required by the standard ISO 11620 (version 2008) shows the significance and the importance of the proposed approach.

Manufacturers have been exploring innovative strategies to achieve and sustain their competitive advantages by facing a new era of intensive global competition. Such a strategy is Supply Chain Management (SCM), which has gained a tremendous amount of attention from both researchers and practitioners since the last decade. Well-designed supply chain systems can substantially improve efficiency and product quality, and eventually enhance customer satisfaction and profitability. There is still a lack of integration between Performance Measurement Systems (PMSs) and practical requirements for supply chains. Performance Measurement (PM) is a vital task in SCM because it can help to monitor the progress, identify weak areas, enhance motivation, and strengthen accountability. The methodologies of business PM have been evolving for decades; numerous theories and models of PMS, ranging form design to implementation, have been proposed. However, the vast majority of PM models have concentrated on single business organisations or on partial performance areas. A commonly accepted PMS for supply chains is hardly available. This paper sets out to discuss and review recent development of PMSs, in particular those in relation to SCM, and to suggest further research direction in supply chain PMSs.

The intensified competition, the frequent change of the clients’ preferences and the globalization of the capital, product, service and information flows have turned the efficient product management into an essential factor for increasing competitiveness in production systems integrated in supply chains. In this context, industrial excellence can be obtained only by an efficient process piloting, using some performance measurement systems that permit a good substantiation of the decisions based on correct and reliable information, taking into account the risks specific to supply chains. The paper includes a review of the literature in the field of performance measurement for supply chains to understand the current practice and contributes to the development of the supply chain performance measurement framework using risk management, the case study method, a statistic quantitative data analysis and modern performance measurement techniques such as: balanced scorecard and supply chain operation reference.

PurposeThe purpose of this paper is to review the existing literature on supply chain performance measures and metrics (PMMs). It provides a critical evaluation of 234 articles published in past 24 years.Design/methodology/approachThe paper examines the studies published from 1991 to 2014 by adopting the bibliometric technique of citation and co-citation analysis.FindingsThe analysis of the results indicate that the number of articles on supply chain PMMs is increasing at its fastest pace in the past few years. Furthermore, the study identifies some of the most influential articles on performance measurement and metrics. Finally, it concludes that there has been a transition from traditional to more sophisticated performance measurement system.Research limitations/implicationsThis study focuses only on supply chain performance measurement and metrics and excludes research on performance management and control. Thus, researchers may explore and extend this area of research.Originality/valueTo the knowledge of the authors, this is the first study to review the literature on supply chain PMMs by using citation and co-citation analysis. The study includes 234 articles over the time of 24 years (1991-2014).

Organizations are looking to adopt environmental or sustainable performance management standards and certifications for their supply chains to satisfy stakeholder concerns and to respond to increasing awareness and interest in sustainability. However, there are several challenges regarding which standards and/or certifications organizations should adopt. This chapter discusses these issues; examines 19popular standard and certification schemes; considers three key functional supply chain activities as regards available schemes, buildings and facilities, production and operations and transportation; and provides suggestions for further research into this topic’s continuing challenges.

This study aims to analyze the supply chain model and supply chain performance kelanting agroindustry in Pesawaran District and Pringsewu District. This research was conducted at Agroindustry Kelanting Darwiyanto in Karang Anyar Village, Gedong Tataan Subdistrict, Pesawaran District and Agroindustry Kelanting Robbani in Mataram Village, Gading Rejo Subdistrict, Pringsewu District.  Data collection was conducted on November-December 2019.  The supply chain model used analysis descriptive method. Supply chain performance in the kelanting agroindustry is measured using indicators used in measuring the performance of cassava into kelanting based on the SCOR (Supply Chain Operation Reference). Supply chain performance measurements were made by comparing indicators FoodSCOR Card indicators, which consist, input indicators and output indicators.  The results showed the flow pattern of supply chain started from farmers and collectors as the main suppliers of raw materials, agroindustry, kelanting wholesalers, kelanting retailer and consumers. Supply chain performance showed that input indicators were good and output indicators were deficient based on FoodSCOR Card comparison indicators.