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This paper, with the tobacco industry as the background, establishes an indicator system for tobacco supply chain performance evaluation using the FAHP method.

Based on the relevant data of tobacco enterprises in Guangxi, the paper calculates the performance values of tobacco companies in various cities of Guangxi, and through the analysis of each indicator and the performance values of each city, the authors find that the improvement ability has a major impact on tobacco supply chain performance. Then, the paper establishes a system dynamics model to further demonstrate the impact of information digitalization on the performance of the tobacco supply chain in Guangxi, thus providing theoretical support for building digital tobacco logistics in Guangxi.

The findings of the study show that the performance of the tobacco supply chains in various cities of Guangxi is generally at the level of “Pass–Good,” which can barely meet the requirements of tobacco supply chain operation, but there is still plenty of room for improvement.

The authors show that digital and IT-based empowerment can maximize the performance of Guangxi's tobacco logistics performance.

Understanding the significance of supply chain, demands need of multiple criteria for its performance evaluation. The aim of this paper is to propose an approach to evaluate the performance of supply chain using multiple criteria.

A multi‐criteria decision making tool, like analytic hierarchy process is used to develop an eight step methodology for performance evaluation. The proposed methodology is also elucidated with an illustration and a case from Indian chemical company.

Supply chain performance number is computed, suggesting the present performance status of the supply chain. The methodology also helps rank the various links according to its performance. The analysis leads in computation of supply chain performance number (SCPN): the value lies between 0 and 1.

The methodology can be suitably modified to accommodate any number of criteria and supply links, given the structure of the supply chain.

A case from an Indian chemical industry is presented in this paper. The findings of which, are encouraging and have benefited the practicing mangers in various ways.

This paper presents a unique approach for supply chain performance evaluation considering multiple criteria, with a flexibility to modify and analyze using the available data sets.

The purpose of this paper is to introduce a methodology to identify sustainable supply chain key performance indicators (KPI) that can then be used for sustainability performance evaluation for suppliers.

Initially the complexity of sustainable supply chain performance measurement is discussed. Then, a two-stage method utilizing neighborhood rough set theory to identify KPI and data envelopment analysis (DEA) to benchmark and evaluate relative performance using the KPI is completed. Additional analysis is performed to determine the sensitivity of the KPI set formation and performance results.

The results show that KPI can be determined using neighborhood rough set, and DEA performance results provide insight into relative performance of suppliers. The supply chain sustainability performance results from both the neighborhood rough set and DEA can be quite sensitive parameters selected and sustainability KPI sets that were determined.

The data utilized in this study are illustrative and simulated. Only one model for the neighborhood rough set and DEA was utilized. Additional investigations using a variation of rough set and DEA models can be completed.

This tool set is valuable for managers to help identify sustainable supply chain KPI (from among hundreds of potential measures) and evaluate sustainability performance of various units within supply chains, including supply chain partners, departments, projects and programs.

Sustainability incorporates many business, economic and social implications. The methods introduced in this paper can help organizations and their supply chains become more strategically and operationally sustainable.

Few tools and techniques exist in the sustainable supply chain literature to help develop KPIs and evaluate sustainability performance of suppliers and the supply chain. This paper is one of the first that integrates neighborhood rough set and DEA to address this important sustainable supply chain performance measurement issue.

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.

The purpose of this paper is to develop a conceptual framework of integrated supply chain model that can be used to measure, evaluate and monitor operational performance under dynamic and uncertain conditions.

The research methodology consists of two stages: configuration of a conceptual framework of integrated supply chain model linked with performance measures and illustration of the integrated supply chain model and delivery performance using a case of dairy industry. The integrated supply chain model is based on a unitary structuring technique and forms the basis for measuring and evaluating supply chain performance. Delivery performance with variation of demand (forecast and actual) is monitored using a fuzzy-based decision support system, based on three inputs: capacity utilization (influenced by production disruption), raw materials shortage and quality of dairy products.

Integration of supply chain components (materials, resources, operations, activities, suppliers, etc.) of key processes using unitary structuring approach enables information integration in real time for performance evaluation and monitoring in complex supply chain situations. In addition, real-time performance monitoring is recognized as being of great importance for supply chain management in responding to uncertainties inherent in the operational environment.

Implementation of an integrated model requires maintenance of supply chain components with all necessary data and information in a system environment such as enterprise resource planning.

The integrated model provides decision-makers with an overall view of supply chain components and direct links that need to be maintained for supply chain performance evaluation and monitoring. Wider adaptation and diffusion of the proposed model require further validation of the model and feasibility of implementation, using real-time data and information on selected performance measures.

Integration of supply chain components across supply chain processes directly linked with performance measures is a novel approach for effective supply chain performance evaluation and monitoring in complex supply chains under dynamic and uncertain conditions.

In today's competitive global marketplace, performance management has been identified as a key strategic consideration towards achieving an efficient supply chain management. The task of estimating supply chain performance extent is seemed a complex problem entitled with multiple subjective performance measures and metrics; subjected to decision-making environment which involves an inherent vagueness, inconsistency and incompleteness associated with decision-makers (DMs) (expert panel) commitment towards assessment of various subjective (quantitative) evaluation indices. Consequently, it becomes difficult towards making a comparative study on performances of alternative supply chains. It is, therefore, indeed essential to conceptualize and develop an efficient appraisement platform helpful for benchmarking of alternative supply chains based on their performance extent. The paper aims to discuss these issues.

The work explores the concept of grey numbers combined with multi-objective optimization by ratio analysis (MOORA) in perceptive to evaluate best alternative from among available alternative supply chains.

The method has been found fruitful to facilitate such a multi-criteria group decision-making (MCGDM) problem under uncertain environment and provides an appropriate compromise ranking order with respect to available possible alternatives.

Supply chain performance appraisement provides necessary means by which an organization can assess whether its supply chain is performing well, whether it has been improved or degraded as compared to the past record. The purpose of this research is to develop and to empirically test a multiple-indices hierarchical appraisement model for benchmarking of supply chain performance and its impact on competitiveness of manufacturing industries.

The aim of this study is to develop a framework for measuring of service supply chain (SSC) maturity process.

The main framework of the SSC maturity was developed by reviewing the concepts and models of SSC, business excellence, maturity and supply chain performance evaluation. Then, the maturity level of each excellence criterion was defined in the proposed model by using the excellence criteria for SSC and the concept of Plan, Do, Check and Act (PDCA) cycle in combination with the process survey tools maturity model. Based on the excellence criteria and their maturity levels, a questionnaire was designed to practically measure the proposed framework.

The concepts and features of maturity levels defined for each of the excellence criteria were used to implement and operationalize the proposed framework and evaluate the SSC processes.

Through the assessment of the existing status of SSC processes, the findings allow managers to reach a better understanding of the strengths and weaknesses of such processes. Then, some opportunities are provided for improving each excellence criterion to enhance the performance of each process.

In fact, this study provides guidelines for organizations to measure their progress and performance and improve their management systems. The main advantages of the proposed SSC measurement framework include self-assessment facilitation, calculation of criteria scores and development of uses. The proposed model, like quality and productivity awards, can pave the way for increased competitiveness of the service industry.

To describe a new approach to the performance evaluation and benchmarking of analytical laboratory services and their associated supply chains.

Life cycle and industrial process approaches are adapted for consideration of the environmental performance of multidisciplinary laboratories as found in large multifunctional facilities. Models are developed to facilitate performance evaluation.

The laboratory product model (LPM) considers laboratory service delivery from a whole‐of‐life perspective. It defines an information product as a standard unit of production that facilitates performance evaluation of laboratories using both normalised and absolute values. Performance evaluation boundaries are extended beyond the internal laboratory processes to incorporate the supply chain, i.e. from sample collection to the end use of the information product.

Application of the research is limited by the availability of relevant corporate data. Future work could address routine collection of data appropriate to environmental performance evaluation so as to reduce the need for extensive life cycle inventories.

Focus is on a practical approach to improving the environmental performance of laboratory services through objective evaluation of laboratory and facility performance. The research provides a means of comparing laboratories founded in different disciplines, e.g. chemistry and microbiology.

Addresses laboratory supply chain issues by providing new tools for performance evaluation and benchmarking of laboratories. It uses new approaches to laboratory performance evaluation that help achieve sustainability.

The purpose of this study was to identify the excellence criteria of services supply chain (SSC) in Iran and the relationship between them and the importance of each criterion.

In this paper, after reviewing the principles and evaluating models of SSCs, using the fuzzy Delphi method, the criteria for excellence in the supply chain processes were identified. Then, the relationships between these criteria and their significance were evaluated using decision-making trial and evaluation laboratory (DEMATEL) and DEMATEL-based analytic network process methods.

The results show that 19 evaluation criteria have been identified in Iran in accordance with the SSC process. These criteria were classified according to their nature and based on the Deming Excellence Model and ISO 9004 standards in four areas: Plan, Do, Check and Act. In addition, the Act dimension with the weight of 0.275 has the highest importance and the Plan dimension with the weight of 0.219 has the lowest importance.

This study attempted to identify appropriate criteria for SSC processes in management consulting firms by examining supply chain assessment models to provide the managers with the right understanding of this industry for performance assessment so that they have a better knowledge of supply chain processes.

The results will be useful for managers to understand the SSC and the ways of SSC excellence in a service organization. This research is a first step for evaluating SSC performance of management consultancy institutes. In fact, after the identification of SSC processes and evaluation criteria, designing a mechanism for the evaluation of the performance of SSCs can be a subject for future research.

The purpose of this paper is to investigate and develop a framework of the performance evaluation of tourism supply chain management (SCM) for the case of Thailand.

The performance measurement of tourism SCM was based upon the eight dimensions of service performance, namely order process management (OPM), supplier relationship management (SRM), service performance management (SPM), capacity and resources management, customer relationship management, demand management (DM), information and technology management, tour finance supply chain. Data were collected from 195 samples of experts of each component of the supply chain to identify the weight pairwise and criteria on each tourism component. The study also adopted analytical hierarchy process (AHP) technique to rank the dimensions of service performance for searching the suitable performance measurement.

The results showed that there are both similarities and differences in each tier. Among the eight dimensions subject to this measurement, OPM, SPM and SRM are ranked as 1, 2 and 3, respectively, in tourism supply chain.

One limitation should be considered. As the results of this performance measurement are drawn from sole perspectives of the tourism-business operators, these are probably different from those of the tourists.

The contribution of this study is another effective performance measurement which is expected to benefit the evaluation of tourism supply chain for Thai tourism industry.