Supply Chain Performance Metrics Research Articles

Development of Performance Measurement Framework for Supply Chain in Desalination Industry using AHP

The concern regarding desalination technology has been rising gradually for the last years because of the enlarged need for drinkable water worldwide. Yet, there are not many studies concerned assessing the seawater desalination supply chain (WDSC) from end to end. Therefore, the objective of this paper is to propose a framework which is intended to assess the performance of WDSC. Different desalination and supply chain performance criteria and metrics have been revised and distributed into financial, social, operation, and environmental perspective. The performance criteria and metrics have been further revised by a panel of experts using Delphi-AHP technique. A weight factor has been allocated to every perspective, criteria and metric based on its importance to the WDSC. The proposed framework could serve as a reference for the researchers in desalination industry. The proposed framework would be helpful for both academics and practitioners.

The lean and resilient management of the supply chain and its impact on performance

The relationship between lean management and resilience in the supply chain, whether negative or positive, is still not clear from the existing literature. This paper aims to investigate the relationship and links between lean and resilient supply chain (SC) practices and their impact on SC performance. To achieve this objective, the aerospace manufacturing sector (AMS) is chosen as the study sector because of the importance of both paradigms. Interpretive Structural Modeling (ISM) approach is used in order to identify linkages among various lean and resilience practices and SC performance metrics through a single systemic framework. ISM is an interactive learning process based on graph theory where experts' knowledge is extracted and converted into a powerful well-structured model. For that purpose, a heterogeneous panel of experts in the AMS was formed, providing a complete view of all SC levels in the sector. The final ISM model revealed that lean SC practices act as drivers for resilient SC practices, since implementing the former in isolation could lead to a more vulnerable SC. The findings also show that lean SC practices lead to a higher performance improvement than resilient SC practices. This is due to the fact that resilient SC practices do not exert influence over all SC performance metrics as it occurs with lean SC practices. In addition, several managerial implications regarding the most convenient practices in terms of the company's objectives are drawn from this study.

Supply chain performance measures and metrics: a bibliometric study

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).

Lean Supply Chain Performance Metrics for the better Manufacturing Process

Manufacturing sectors are facing more problems due to globalization; especially in cases of SMEs (Small and Medium scale Enterprises) are struggling against consistency and competitiveness in market. They want more challenges in the field of production and marketing areas for the product accuracy and quality. Maintaining the machine tools with minimum waste in manufacturing process and identifying supply chain problems in supply line activities are the most essential factor for the employers. In this regard, the evidences of many authors’ views, the lean supply chain techniques and their tools have helped more in manufacturing and service enterprises in the areas of operations and work processes. But taking the help of efficient lean supply chain performance measures and advanced inspection technologies for the betterment of productivity are also an important criterion. Assortment is a leading indicator for a manufacturing system. Which is the process of measuring product efficiency, effectiveness and capability against the standard norms fixed by the organization in time based aspect. In this work we discussed the lean supply chain performance importance, application and their effectiveness which are useful for the current manufacturing trends.

An integrative approach in measuring hub-port supply chain performance: Potential contributions of a logistics and transport data exchange platform

The widespread globalization of production corporations in the late 20th century, as well as the subsequent trade facilitation policies of state authorities, generates an imperative need to extend the scope of supply chain management. Apart from the evaluation and monitoring of networked operations in different parts of the world, the effectiveness of trade policy measures is also included. This paper examines the potential contributions of a logistics and transport data exchange platform in measuring the performance of supply chain stakeholders of a hub port at different stages along the chain. A case study demonstrates how the integrative characteristics of a logistics and transport data exchange platform can be exploited to measure performances of different parties along the supply chain of a firm. More importantly, the authors explain how such a platform can be transformed into a system that evaluates the integrative supply chain activities of firm, the infrastructure, and the institutional stakeholders. A series of new supply chain performance metrics, including specific monitor end-to-end processes, can be captured by the proposed system. The paper concludes that in view of the significant policy implications of a platform-based supply chain performance measurement (SCPM) system, state intervention is critical to foster a high participation rate of the logistics and transport data exchange platform and develop its SCPM functions.

Supply chain performance metrics framework: literature review and research issues

This paper covered all the state of the art literature survey done on supply chain performance metrics up to date from the scientific journals, conference proceedings, case studies, white papers, books, internet and websites and developed a performance measure framework for performance metrics and finally identified the possible performance metrics from the review. Besides, the supply chain metrics of 25 top ranked companies in supply chain excellence are identified from the companies' performance report, research papers, case studies, white papers and websites to show the available current scenario of the metrics for benchmarking. This paper can be useful for researchers and practitioners as they can easily extract the existing supply chain metrics from this single document to further develop a framework depending up on the nature of the organisation considered. The future research directions are also suggested.

Supply chain performance metrics framework: literature review and research issues

This paper covered all the state of the art literature survey done on supply chain performance metrics up to date from the scientific journals, conference proceedings, case studies, white papers, books, internet and websites and developed a performance measure framework for performance metrics and finally identified the possible performance metrics from the review. Besides, the supply chain metrics of 25 top ranked companies in supply chain excellence are identified from the companies' performance report, research papers, case studies, white papers and websites to show the available current scenario of the metrics for benchmarking. This paper can be useful for researchers and practitioners as they can easily extract the existing supply chain metrics from this single document to further develop a framework depending up on the nature of the organisation considered. The future research directions are also suggested.

Robust decision making for hybrid process supply chain systems via model predictive control

Model predictive control (MPC) is a promising solution for the effective control of process supply chains. This paper presents an optimization-based decision support tool for supply chain management, by means of a robust MPC strategy. The proposed formulation: (i) captures uncertainty in model parameters and demand by stochastic programming, (ii) accommodates hybrid process systems with decisions governed by logical conditions/rulesets, and (iii) addresses multiple supply chain performance metrics including customer service and economics, within an integrated optimization framework. Two mechanisms for uncertainty propagation are presented – an open-loop approach, and an approximate closed-loop strategy. The performance of the robust MPC framework is analyzed through its application to two process supply chain case studies. The proposed approach is shown to provide a substantial reduction in the occurrence of back orders when compared to a nominal MPC implementation.

An investigation on the impact of product modularity level on supply chain performance metrics: an industrial case study

The benefit of integrating product design decisions and supply chain design decisions has been recognized by researchers. Such integration can facilitate better communication between design teams and operations groups. Consequently, potential supply chain risks can be highlighted and addressed before the launch of a new product. Modularization is one of the most critical elements for both product design and supply chain design decisions as it impacts the assembly sequence and hence the selection of component and module suppliers. However, the impact of modularity level on supply chain performance is still unclear, and thus is the focus of this study. The proposed analytical method incorporates both product design and supply chain design functions, and hence, enables simultaneous consideration of these decisions. The supply chain performances of all two-module and three-module design concepts are fully investigated in an effort to explore the impact of modularity level on supply chain performance. Results show that increased modularity is advantageous for the time-based performance of a supply chain network, whereas decreased modularity yields superiority in terms of cost performance.

A review on supply chain performance measures and metrics: 2000‐2011

PurposeThe paper reports a comprehensive review of supply chain performance measurement systems and raises a set of research issues leading to selected research questions.Design/methodology/approachThe articles which have been published in selected peer‐reviewed international journals in the last ten years were collected by using databases Scopus and ISI Web of Knowledge. The articles were scrutinized based on authors' perspective analysis (using supply chain measures and metrics, and enhancing supply chain performance as the key perspectives). The articles contributing significantly in the domain of supply chain measures and metrics were selected for final review and various issues were identified.FindingsThe paper argues that, despite considerable evidence from the literature in supply chain performance measurement in recent years, there is a large scope for research to address the issues in supply chain performance measurement, including: characteristics of measures and metrics, benchmarking of measures, use of management practices, integration and partnership and socio‐environmental relevance.Research implications/limitationsThe insights deduced in the paper are primarily based on 28 articles selected for critical review and analysis in the domain of supply chain measures and metrics and hence should be interpreted only as key concerns in the area.Originality/valueThe paper reports an evaluation of 28 key articles reported in the domain of supply chain performance measurement and indicates the research opportunities in the area.

Measuring downstream supply chain performance

PurposeDownstream 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.Design/methodology/approachThe 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.FindingsOne 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.Research limitations/implicationsA 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.Practical implicationsFirms 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.Originality/valueThe paper describes one of the few empirical studies of the SCOR model in US industry.

Modeling and Simulation of SCSA Performance under E-Commerce Environment

The performance evaluation of supply chain strategy alliance (SCSA) has the novelty compares with the traditional enterprise organization form under electronic commerce environment. This paper constructs a set of systematic SCSA evaluating indices system that included four aspects of customer and node enterprise satisfaction, supply chain operation flow, supply chain economic benefit, supply chain innovation and learning capability based on SCSA performance characteristic, uses the thought of balanced scoreboard and supply chain performance metrics reference mode1 (SCPR). Aiming at the problem of how to evaluate the SCSA performance, this paper proposes the data envelopment analysis (DEA) model based on chaos optimization (CO) algorithm, which not only can use the chaotic motion characteristics of the initial value sensitivity, the ergodicity, and the randomness, remove from the partial minimum point, but display the DEA's advantage of not involving the parameter estimation and weight determination, cause the evaluation results not influenced by the different index dimension. The SCSA performance evaluating results of 16 samples show that the model is simple and feasible, and improve the evaluating accuracy and efficiency.

Viewing Kaiser Permanente via the logistician lens

The aim of this paper is to undertake a holistic comparison between NHS and Kaiser Permanente (KP) healthcare delivery systems. The paper reviews in detail the many papers and communications published on KP via the "logistics lens" which is focussed on smooth patient flow from onset of problem to completion of treatment. The paper finds that healthcare "best practice" is readily related to conventional supply chain performance metrics and engineering change model attributes. Much of the apparent success of KP is due to cultural and organisational factors. A noteworthy example deserving wide dissemination and application is in the effectiveness of interfaces between clinicians and managers. This review exposes the need for the NHS to be driven by end-to-end processing times rather than the present salami principle of separating in-patient, out-patient and other queues into neat statistics, which can be meaningless to an individual patient. Introduces clinicians and healthcare professionals to a range of tools and techniques for engineering "best practice". This method is well understood and proven in other areas of application. Particular aspects of the KP study are thus confirmatory of what is actually happening in small pockets of the NHS. The paper provides a new perspective on the performance of healthcare supply chains. New knowledge and deeper understanding of the mechanisms of success emerge from a study adopting a different viewpoint.

The impact of alternative performance measures on single-period inventory policy

While many firms and researchers have developed various supply chain solutions, there are many underlying reasons why these solutions have not been adopted in practice. Some key reasons, as articulated by Lee and Billington (1992), include organizational barriers, coordination challenges among marketing, manufacturing, and logistics, technical challenges in the area of information systems, as well as conflicting supply chain performance metrics. Other key reasons are due to alternative performance measures besides total expected relevant cost, which include sales target, product substitution, product clearance, sales per square foot, etc. In order to understand how these alternative performance measures affect the supply chain solution, we make an initial attempt to analyze how alternative measures would affect the simplest form of inventory policy, namely, the newsvendor solution. To identify various alternative measures and to explore how such order decisions are made, we conducted a simple experiment by giving a single-period inventory problem to 250 MBA students and 6 professional buyers who order fashion items. We observed that both groups select their order quantities less than the newsvendor solution and made their ordering decisions based on various specific performance metrics besides total expected cost. These observations have motivated us to analyze how these performance metrics would affect the ordering decision. Our analysis indicates that, under these performance metrics, it is rational for the decision maker to order less than the newsvendor solution.

Performance Measurement and Design in Supply Chains

This paper examines the relationship between product architecture, supply-chain performance metrics, and supply-chain efficiency. We model the contracting relationship between a supplier and a buyer. The supplier is privately informed about the outcome of his design/production investment. The buyer both appraises the supplier's component and does further processing/component production of his own. If the final product produced by the buyer exhibits decoupling and no function sharing with respect to the components (termed separable architecture), the first-best outcome is attained if both internal and external failures are contractible. When only one type of failure can be contracted on, we derive conditions under which contracting on internal failure is superior to contracting on external failure, and vice versa. If the buyer's final product has a nonseparable architecture with respect to the components, first-best cannot be achieved even if both internal and external failures are contractible. The value of contracting on internal failure alone is unaffected by the architecture design, while that of external failure declines relative to the separable setting; the net result is often to make the former the uniformly dominant performance metric. Our results highlight the interaction between the performance metrics used for contracting within the supply chain, the architecture of the product produced by the supply chain, and the incentive efficiency of the chain.

Performance Measurement and Design in Supply Chains

This paper examines the relationship between product architecture, supply-chain performance metrics, and supply-chain efficiency. We model the contracting relationship between a supplier and a buye...