Supply Chain Performance Evaluation Model Research Articles

SUPPLY CHAIN PERFORMANCE EVALUATION MODELS: A LITERATURE REVIEW

Our structured literature review reveals the current state-of-the-art supply chain performance evaluation models (SCPEMs) from the last 21 years of research. Seventy related papers from the 2000 to 2021 time period were found to contribute by using ISI and SCOPUS databases. This paper has classified SCPEMs in terms of focus area and the perspective considered (financial and non-financial). With the analysis, these models’ applicability in today’s business environment pinpointed the most usable models and their current shortcomings. Findings disclose current SCPEMs limitations and misalignments with the emerging disruptive technologies observed in today’s supply chains. Given the findings, this study has highlighted the lack of overall supply chain performance evaluation and the failure to underline the underperforming decision criteria in the SC network. Therefore, to tackle these gaps, the authors have suggested visibility, leagility, collaboration, digitalization, sustainability, and integration as SCM characteristics to be considered in the future when developing a novel SCPEM. Finally, this study can be used as guidance for future studies.

Analytic Hierarchy Process and Its Application in Rural Tourism Service Performance Evaluation

In contemporary China, tourism is being upgraded to a modern service industry and strategic pillar industry. With the rapid development of modern information and communication technology and the continuous refinement of tourism market demand, tourism has entered a new era of smart tourism. Information runs through the whole process of tourism activities and is the key to determine the quality of tourism. Tourism public service is a very important basic support for tourism activities. It is of great significance to meet the diversified needs of tourists and optimize various services and government management functions. Based on the analysis of the connotation of tourism supply chain performance evaluation, this paper constructs a tourism supply chain performance evaluation index system and performance evaluation model suitable for analytic hierarchy process and studies the product price, production capacity, credit, complaint rate, and management level of its upstream tourism supply enterprises. To test the effectiveness of AHP on tourism supply chain performance evaluation, the comprehensive evaluation results and relevant suggestions for improving performance are obtained, which also proves the extensibility of the performance evaluation index system and provides an effective method for improving the performance of each link of China’s tourism industry and tourism service quality.

Study on Performance Evaluation of Service Supply Chain by Extension Method

With the rapid development of the service industry, the service supply chain has become one of the most popular areas. With the logistics service supply chain being an important branch of the service supply chain, we should pay attention to the role of logistics service supply chain in enterprises. How to evaluate the logistics service supply chain comprehensively and rationally has become an important task for related enterprises to solve urgently. This paper, through extensive literature analysis and research on logistics service supply chain projects, established an indicator system composed of 18 secondary indicators from three perspectives of customer satisfaction, logistics service capabilities, and co-development ability, using the analytic hierarchy process (AHP) to determine the weight of each index and matter-element analysis to establish a logistics service supply chain performance evaluation model. At the end of the paper, the performance of S logistics enterprise is evaluated. The result turns out to be good, which is consistent with the actual situation, indicating that the evaluation system and method are effective and reliable.

An Empirical Exploration of Supply Chain Performance Evaluation Models Used by the Moroccan Industrial Sector

The search for performance is a continuous process and a natural need for survival for each organization or company, taking into account the constraints linked, in particular, to globalization and the competitiveness of markets. Performance and its evaluation can be considered as necessary conditions for the success of an organization, they constitute a field of research oriented by a strong demand from practitioners to develop best practices to improve the overall performance of the company. Supply Chain Management is a key strategic factor in rising corporate success in a global economy, challenging and complex climate. As consequence, supply chain performance evaluation has become one of the most interesting research areas focused on providing guidance to practitioners in selecting the appropriate performance model for the supply chain management. This article presents the results of the questionnaire survey, which aimed at identifying the most relevant supply chain performance assessment models used by the Moroccan industrial sector. To achieve the main propose of this study, the methodology used includes an empirical survey analysis using a questionnaire and statistical tools. The empirical survey was conducted among a sample of 120 Moroccan industrial companies during October, November and December 2019. Data gathered through an e-mail survey, face-to-face interviews and telephone interviews to approach companies by using a structured questionnaire. This study follows the design survey research methodology. Thus, we initially approach the selection and presentation of the adopted methods. Then, we present the sample selection phase, the mode of questionnaire administration and the data collection, and finally, the interpretation of research results. The findings showed that the lack of unanimity among Moroccan industrial companies on the appropriate approach to assessing supply chain performance, justified by the complexity of their own supply chains as organizational configurations, coupled with the complexity of their management approaches.

Supply Chain Performance Evaluation Models, State-of-the-Art and Future Directions

Continuous improvement in supply chain performance creates value not only for businesses, but also for customers and suppliers who interact in different levels. Given the criticality of supply chain management, companies use different maturity models to measure their performance. Currently, there are many performance evaluations models and the choice of the appropriate model for the company depends on several criteria. This work presents a review of all supply chain performance evaluation models and highlights the characteristics and constraints of the implementation of each supply chain performance evaluation models. This work will provide a good guideline to managers to choose the appropriate model for their organization.

Green supply chain performance evaluation model for automotive manufacturing industries by using eco-balanced scorecard

This paper presents initial key performance indicators for green supply chain evaluation for automotive companies using eco-balanced scorecard (EBSC). Balanced scorecard consists of four perspectives such as financial, customer, learning and growth, and internal business process, here fifth perspective as an environment is included. Drawing on the five perspectives of an EBSC, this paper first summarised the evaluation indexes synthesised from the literature relating to green supply chain performance. Furthermore, the relative weights of the chosen evaluation indexes were calculated from fuzzy-analytic hierarchy process and further, the two multi-criteria decision making analytical tools of fuzzy-VIKOR and gray relational analysis were respectively adapted to rank the green supply chain performance and improve the gaps with five industries as an empirical example. It shows that the proposed fuzzy-MCDM evaluation model of green supply chain performance using the EBSC framework can be a useful and effective assessment tool.

Green supply chain performance evaluation model for automotive manufacturing industries by using eco-balanced scorecard

Green supply chain performance evaluation model for automotive manufacturing industries by using eco-balanced scorecard

Normalisation in life-cycle assessment: consequences of new European factors on decision-making

ABSTRACTEnvironmental performance assessment of products is necessary to improve sustainability in supply chains. Life-cycle assessment and its optional normalisation step may be used for this purpose. Based on an illustration, this paper studies the most recent International reference Life-Cycle Data system (ILCD) normalisation factors and compares them with the most commonly used normalisation factors given by CML and ReCiPe H methods. Normalisation with ILCD shows differences in the results, compared to normalisation with older methods, which may have consequences on business decisions. Indeed, some impact categories are undervalued with old methods because their factors are not up to date. We conclude on the importance of using the latest methods to assess environmental impacts, and on the need to link these approaches or metrics with supply-chain performance evaluation models.

Analysis of Business Process at PT XYZ by Using SCOR Thread Diagram

Supply Chain Operations Reference (SCOR) is a standard supply chain performance evaluation model which is proposed by Supply Chain Council (SCC). SCOR makes companies can analyse and evaluate their supply chain performance. SCOR has Thread Diagram which describes business process simply and systematically to help the analysis of company’s business process. This research takes place in PT XYZ that is involved in Crude Palm Oil (CPO) industry. PT XYZ used to be the market leader of CPO industry but nowadays they have a trouble to compete with new competitors. The purpose of this study is to provide the input for PT XYZ business process improvement to enhance the competitiveness of the company with the others. The result obtained shows that there are two performance metrics that are not reached. The analysis of business process shows the lack of control role of PT XYZ to supplier and customer side which is going to be the suggestion of improvement.

Supply chain performance measurement using SCOR model based on interval-valued fuzzy TOPSIS

Performance measurement is known to be the best way of investigating the supply chains' success. In this regard, managers can identify the root causes of weakness points and improve supply chain's performance through analysing and solving these problems. Concerning this problem, various supply chain performance evaluation models have been presented in literature. Through all of the models, this paper used supply chain operations reference (SCOR) model for performance measurement of three Iranian automotive supply chains. First SCOR model is employed to define the performance criteria. Afterwards, technique for order of preference by similarity to ideal solution (TOPSIS) is used to determine the supply chain that performs best. In this paper, expert's judgment is used to determine the criteria's value and weight but uncertainties in expert's judgment was unavoidable, also experts cannot reach an agreement on the method of defining linguistic variables based on fuzzy sets. So, paper used interval-valued fuzzy set to solve these problems. To the best of authors' knowledge, this is the first study that have applied interval-valued fuzzy TOPSIS in group decision-making in order to evaluate and improve the performance of supply chains on the basis of SCOR model.

Research and Application of Supply Chain Performance Evaluation Model from the Perspective of Logistics Service

Research and Application of Supply Chain Performance Evaluation Model from the Perspective of Logistics Service

Supply Chain Performance Evaluation Model Based on Unascertained Clustering

Supply Chain Performance Evaluation Model Based on Unascertained Clustering

A new fuzzy network slacks-based DEA model for evaluating performance of supply chains with reverse logistics

Supply chain performance evaluation problems are complex problems with multiple criteria and multi-layered internal linking activities. Data Envelopment Analysis (DEA) has been used to evaluate the relative performance of organizational units called Decision Making Units (DMUs). However, the conventional DEA models cannot take into account the complex nature of supply chains with internal linking activities. Although network DEA models are used to address this drawback, most of them use Farrell radial measures of efficiency and ignore input slacks and/or output slacks and are not suitable for measuring efficiencies when inputs and outputs may change non-proportionally. In response, network DEA models using Slacks-Based Measures (SBMs) of efficiency are used when inputs and outputs are non-radial. Furthermore, crisp input and output data are fundamentally indispensable in a conventional DEA evaluation process. However, the input and output data in real-world problems are often imprecise or ambiguous. Fuzzy DEA models are used to address the impreciseness and ambiguity associated with the input and output data. Finally, conventional supply chain performance evaluation models primarily consider forward logistics dealing with the flow of products from manufacturing to customers. We propose a new Network SBM (NSBM) model in the fuzzy environment. The proposed fuzzy NSBM model considers non-radial measures of efficiency in a unified framework for evaluating performance of supply chain networks with forward and reverse logistics. A case study is presented to demonstrate the applicability of the proposed fuzzy NSBM model and exhibit the efficacy of the procedures in evaluating the performance of a supply chain in the semiconductor industry.

Agile Supply Chain Performance Evaluation of Automobile Manufacturing Based on Regression Analysis

Considering the current agile supply chain performance evaluation methods of automobile manufacturing has defects such as low accuracy, complex computing. This paper proposes the agile supply chain performance evaluation of automobile manufacturing based on regression analysis. Firstly, the index system of agile supply chain performance evaluation of automobile manufacturing is established. Secondly, the agile supply chain performance evaluation model is build based on regression analysis. Finally, the feasibility and availability of this model are verified combined with the numerical examples.

A study on the relationship between the PDSA cycle of green purchasing and the performance of the SCOR model

When environmental problems are the focus, conflicts between the general public and company stakeholders affect both regional and global cooperation prompting conflicts in many areas. As a consequence, various initiatives have been designed and adopted that improve environmental performance while maintaining sustainable development. Green purchasing is applied as a useful tool to mitigate the environmental impacts of consumption and to promote clean production technology. The supply chain operations reference (SCOR) model is proposed by a supply chain council as a standard supply chain performance evaluation model. This model has been widely embraced by many modern organisations. The SCOR model can be applied to analyse supply chain performance in a systematic way. It can also aid in communication among all members in the supply chain, and can assist in the development of a design for a better supply chain network. To further improve the performance of the green purchasing process, which is critical in numerous industries, this study explores the relationship between the plan-do-study-act (PDSA) cycle of green purchasing and the SCOR purchasing/sourcing process and its performance indices/metrics. In this study, those companies which produce Taiwanese green label products are taken as samples. The PDSA cycle of green purchasing and the SCOR model are used to construct a structural equation model (SEM). An SEM analysis is conducted to establish the relationship between the PDSA of green purchasing, the sourcing process, and its performance on the SCOR model. The results of this study provide some suggestions for companies conducting green purchasing.

A framework for analysing supply chain performance evaluation models

Abstract Supply chain management creates value for companies, customers and stakeholders interacting throughout a supply chain. The strategic dimension of supply chains makes it paramount that their performances are measured. In today's performance evaluation processes, companies tend to refer to several models that will differ in terms of corporate organisation, the distribution of responsibilities and supply chain maturity. The present article analyzes various models used to assess supply chains by highlighting their specific characteristics and applicability in different contexts. It also offers an analytical grid breaking these models down into seven layers. This grid will help managers evolve towards a model that is more suitable for their needs.

The performance evaluation of SCOR sourcing process—The case study of Taiwan's TFT-LCD industry

The supply chain operations reference (SCOR) model, proposed by the supply chain council (SCC), is a standard for supply chain performance evaluation model, which has been widely embraced by many modern organizations. The SCOR model enables enterprises to analyse their supply chain performance in a systematic way, to enhance communication among the members in the supply chain, and to design a better supply chain network. To further improve the performance of the sourcing process, which is critical to many industries, this research investigates the sourcing processes and their accompanied performance metrics in the SCOR model version 7.0. The supply chain of thin film transistor-liquid crystal display (TFT-LCD) industry in Taiwan is the subject. Using the questionnaire survey to collect empirical information, the regression model was applied to examine the sourcing process of SCOR at level 2 and its performance metrics. The results obtained were further extended for discussion on the sourcing process of level 3. In addition, this article also elaborates the institutionalization of the SCOR model and justifies the project planning system based on the SCOR model. It is illustrated that the proposed approach is feasible and valuable to supply chain managers in decision-making on various industries.