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Article
Publication date: 8 March 2013

Omkarprasad Vaidya and Manoj Hudnurkar

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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

Practical implications

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.

Originality/value

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.

Details

International Journal of Productivity and Performance Management, vol. 62 no. 3
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 6 May 2014

Chunguang Bai and Joseph Sarkis

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Social implications

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.

Originality/value

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.

Details

Supply Chain Management: An International Journal, vol. 19 no. 3
Type: Research Article
ISSN: 1359-8546

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Article
Publication date: 3 June 2014

Kazi Arif-Uz-Zaman and A.M.M. Nazmul Ahsan

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

Abstract

Purpose

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

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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

Practical implications

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.

Originality/value

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

Details

International Journal of Productivity and Performance Management, vol. 63 no. 5
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 24 November 2020

Hadi Balouei Jamkhaneh and Abdol Hamid Safaei Ghadikolaei

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

Abstract

Purpose

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

Design/methodology/approach

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.

Findings

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.

Practical implications

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.

Originality/value

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.

Details

International Journal of Productivity and Performance Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 8 February 2016

Premaratne Samaranayake and Tritos Laosirihongthong

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

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Originality/value

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.

Details

Journal of Modelling in Management, vol. 11 no. 1
Type: Research Article
ISSN: 1746-5664

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Article
Publication date: 28 January 2014

Anoop Kumar Sahu, Saurav Datta and Siba Sankar Mahapatra

In today's competitive global marketplace, performance management has been identified as a key strategic consideration towards achieving an efficient supply chain

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Grey Systems: Theory and Application, vol. 4 no. 1
Type: Research Article
ISSN: 2043-9377

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Article
Publication date: 1 May 2006

G.M. Rynja and D.C. Moy

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

Abstract

Purpose

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

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Originality/value

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.

Details

Benchmarking: An International Journal, vol. 13 no. 3
Type: Research Article
ISSN: 1463-5771

Keywords

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Article
Publication date: 12 December 2017

Hadi Balouei Jamkhaneh, Abdol Hamid Safaei Ghadikolaei, Mehrdad Madhoushi and Mahmood Yahyazadehfar

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.

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Practical implications

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.

Originality/value

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.

Details

Journal of Science and Technology Policy Management, vol. 9 no. 1
Type: Research Article
ISSN: 2053-4620

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Article
Publication date: 18 December 2018

Daraka Palang and Korrakot Yaibuathet Tippayawong

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.

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Originality/value

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.

Details

Business Process Management Journal, vol. 25 no. 6
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 20 May 2021

Jianfei Li, Bei Li, Kun Tang and Mengxia Sun

Based on the analysis of the dissipative structure of the retail service supply chain (RSSC), this paper divides the system into two internal and external dissipative…

Abstract

Purpose

Based on the analysis of the dissipative structure of the retail service supply chain (RSSC), this paper divides the system into two internal and external dissipative mechanisms, including the internal performance dissipation mechanism and the perceived quality dissipation mechanism outside the system. Based on the prediction of RSSC performance, this paper aims to discuss the application of Hidden Markov Model (HMM) in this field and puts forward a set of complete process of forecasting the service supply chain (SSC) performance based on HMM model.

Design/methodology/approach

Based on the theory of dissipative structure, this paper selects the RSSC as the research object, analyzes the system characteristics of the dissipation structure of RSSC from three aspects, such as system opening type, distance from equilibrium state and nonlinear order and describes the quality fluctuation process of RSSC as a Hidden Markov process. Taking the RSSC of J Company as an example, this paper makes use of the observed state value of customer perceived service quality from 1997 to 2016, predicts the performance status of the enterprise's RSSC.

Findings

The research results show that: RSSC is a dissipative structure system, and its performance is the internal entropy flow of the system, and the customer perceived service quality is external, their interaction determines the dynamic evolution of the system dissipation structure, and the Markov property between supply chain performance and perceived service quality. There is a Markov property between supply chain performance and perceived service quality. Using the perceived service quality observation state data of the external consumers of the system can effectively predict the implicit state of RSSC performance. Based on this prediction result, the strategy adjustment and optimization of the action mechanism of internal and external entropy flow in the dissipative structure system can be carried out to promote the sustainable development of the RSSC.

Originality/value

This paper thinks that RSSC is a dissipative structure system and the SSC performance and customer perceived service quality are the internal and external entropy flow of the system, which determines the dynamic evolution of the system dissipation structure. There is a Markov property between supply chain performance and perceived service quality. The hidden state of SSC performance can be predicted effectively by using a hidden Markov model and observing state data of perceived service quality from consumers outside the system.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

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