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Journal articles on the topic 'Supply chain performance evaluation'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Arif-Uz-Zaman, Kazi, and A. M. M. Nazmul Ahsan. "Lean supply chain performance measurement." International Journal of Productivity and Performance Management 63, no. 5 (2014): 588–612. http://dx.doi.org/10.1108/ijppm-05-2013-0092.

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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.

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Gizaw, Bethlehem Tamiru, and Alev Taskin Gumus. "Humanitarian Relief Supply Chain Performance Evaluation: A Literature Review." International Journal of Marketing Studies 8, no. 2 (2016): 105. http://dx.doi.org/10.5539/ijms.v8n2p105.

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<p>Nowadays small, medium and severe disasters are threatening our world. One of the important role players in alleviating these traits are humanitarian relief supply chains. The increasing number of disasters in our planet earth urges the humanitarian relief supply chains to focus on the assurance of safety of the victims. In order for this to occur, these supply chains should work effectively and efficiently. This can be possible through considerable evaluation of their supply chain performance. In this paper a literature review on supply chain performance evaluation in general and humanitarian relief supply chain performance in particular is presented. Previously conducted researches from the year 2000 until the present time have been reviewed. The works were categorized according to writers, publication year, publishing journal, technique utilized and objective intended. Then an analysis was made on humanitarian relief supply chain literature with respect to the publishing journals and the research technique applied. The result shows that humanitarian relief supply chain evaluation is almost an untouched area which needs further study. Recent supply chain management techniques can be applied for the improved performance of these supply chains. Based on this result, Supply Chain Operations Reference (SCOR), Fuzzy Logic System, and Artificial Neural Networks are found to be the areas which need further study.</p>

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Vaidya, Omkarprasad, and Manoj Hudnurkar. "Multi‐criteria supply chain performance evaluation." International Journal of Productivity and Performance Management 62, no. 3 (2013): 293–316. http://dx.doi.org/10.1108/17410401311309195.

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Perera, P. S. T., H. S. C. Perera, and T. M. Wijesinghe. "Environmental Performance Evaluation in Supply Chain." Vision: The Journal of Business Perspective 17, no. 1 (2013): 53–61. http://dx.doi.org/10.1177/0972262912469566.

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5

Zhang, Shu Hai. "Performance Evaluation of Agritainment Service Supply Chain." Applied Mechanics and Materials 438-439 (October 2013): 1917–23. http://dx.doi.org/10.4028/www.scientific.net/amm.438-439.1917.

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This paper puts forward the index system of evaluating performance of agritainment supply chain from three attribute domains, i.e. operation domain, hierarchy domain and composition domain, uses entropy technology and analytic hierarchy process to carry on the evaluation of service performance and probes into the application of agritainment supply chain theory in practice. It is quite important on enhancing the competitive power of the whole agritainment supply chain as well as the node enterprises in the agritainment supply chain. Finally, three problems that need further study in this field are pointed out.

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Aal, Mohammad A. M. Abd El, Mahmoud A. El Sharief, Ahmed Ezz El Deen, and Abo Bakr Nassr. "Supply chain performance evaluation: a comprehensive evaluation system." International Journal of Business Performance and Supply Chain Modelling 3, no. 2 (2011): 141. http://dx.doi.org/10.1504/ijbpscm.2011.041376.

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BINDU, RUPA SUNIL, and B. B. AHUJA. "Rejuvenating the Supply Chain by Benchmarking using Fuzzy Cross-Boundary Performance Evaluation Approach." International Journal of Engineering and Technology 2, no. 6 (2010): 547–57. http://dx.doi.org/10.7763/ijet.2010.v2.180.

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8

Radhakrishnan, Abirami, Dessa David, Douglas Hales, and V. Sri Sridharan. "Mapping the Critical Links between Supply Chain Evaluation System and Supply Chain Integration Sustainability." International Journal of Strategic Decision Sciences 2, no. 1 (2011): 44–65. http://dx.doi.org/10.4018/jsds.2011010103.

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Supply Chain Integration is widely advocated as an important factor to attain superior supply chain performance. While firms are able to achieve integration, they find it hard to sustain integration. In this paper, the authors argue that to sustain integration partner firms must establish a formal system to evaluate supply chain-wide performance. The authors draw on theories from a number of management disciplines to map the critical links between supply chain evaluation capability and supply chain integration sustainability. The authors develop and test the research model by conducting an empirical study involving 102 firms. The results of the study show that supply chains can sustain integration by establishing a supply chain wide evaluation system.

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Samaranayake, Premaratne, and Tritos Laosirihongthong. "Configuration of supply chain integration and delivery performance." Journal of Modelling in Management 11, no. 1 (2016): 43–74. http://dx.doi.org/10.1108/jm2-01-2014-0005.

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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.

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10

Olugu. "Supply Chain Performance Evaluation: Trends and Challenges." American Journal of Engineering and Applied Sciences 2, no. 1 (2009): 202–11. http://dx.doi.org/10.3844/ajeas.2009.202.211.

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11

Beno. "Supply Chain Performance Evaluation: Trends and Challenges." American Journal of Engineering and Applied Sciences 2, no. 1 (2009): 202–11. http://dx.doi.org/10.3844/ajeassp.2009.202.211.

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12

Chen, Tinggui, and Xiaoqing Gong. "Performance Evaluation of a Supply Chain Network." Procedia Computer Science 17 (2013): 1003–9. http://dx.doi.org/10.1016/j.procs.2013.05.127.

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13

George, Joby, and V. Madhusudanan Pillai. "Supply Chain Performance Evaluation Using Spreadsheet Simulation." Applied Mechanics and Materials 592-594 (July 2014): 2699–703. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.2699.

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The objective of this paper is to develop a spreadsheet-based simulation methodology to evaluate the performance of a serial supply chain under different inventory position based ((r, Q) and (r, S)) and non-inventory position based (Fixed Order Quantity (FOQ) and Demand Flow Strategy (DFS)) periodic review inventory policies. The performance measures comprises of Fill Rate, Risk of Shortage, Bullwhip Effect and Total Cost of Supply Chain. An experimental study with four scenarios are carried out for two customer demand distributions under information sharing and no information sharing scenarios to determine performance measures in lost sales environment. The best performing inventory control policy for each scenario is found by conducting Grey Relational Analysis and the analysis show that one of non-inventory position based policy, FOQ is the better policy compared to other three policies.

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14

Zagursky, О. M. "System of evaluation of performance indicators of supply chains." Naukovij žurnal «Tehnìka ta energetika» 10, no. 3 (2019): 103–9. http://dx.doi.org/10.31548/machenergy2019.03.103.

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15

Kyllönen, Hanne, and Petri Helo. "SCOR Based Food Supply Chain’s Sustainable Performance Evaluation Model." Advanced Materials Research 488-489 (March 2012): 1039–45. http://dx.doi.org/10.4028/www.scientific.net/amr.488-489.1039.

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This paper introduces a first level of the SCOR based Food Supply Chain’s Sustainable Performance Evaluation Model and a case study. The model connects environmental performance to the part of the supply chain performance. The aim of the model is to consider ecologic issues as a part of the strategic supply chain decisions and in that way to develop supply chain management more sustainable. The food supply chain’s sustainable performance model consists of the ecological, social, and environmental metrics. It bases e.g. on the level 1 SCOR-metrics. The developed method is used in the case study as a method. The results of the case study shows e.g. that if one production plant would be replaced with two plants the delivery time and delivery costs, waste and carbon dioxide emissions would decrease and production costs and investment costs would increase. The results of the case study show that individual measures of the environmental or economical performance are not enough when optimizing supply chains sustainable performance. Also optimizing production cost or delivery performance may differ from supply chain overall performance. More holistic way to measure overall sustainable performance are needed. The sustainable performance evaluation model seems to be useful way to improve sustainable supply chain management but more studies are needed.

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16

Kumar, Anup, Kampan Mukherjee, and Amit Adlakha. "Dynamic performance assessment of a supply chain process." Business Process Management Journal 21, no. 4 (2015): 743–70. http://dx.doi.org/10.1108/bpmj-09-2014-0086.

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Purpose – A variety of tools are available to measure supply chain efficiency, but there are a few methods available for assessing efficiency in dynamic environments. The purpose of this paper is to illustrate the use of data envelopment analysis (DEA) with the help vector auto regression in measuring internal supply chain performance in dynamic environment. Design/methodology/approach – Two DEA models were developed – the static DEA that is traditional DEA methodology and the dynamic DEA. The models are further enhanced with scenario analysis to derive more meaningful business insights for managers in making benchmarking and resource planning decisions. Findings – The results demonstrate that lagged effects can lead to changes in efficiency scores, rankings, and efficiency classification. So, using static DEA models in dynamic environment can be potentially misleading. Using impulse response analysis it has been seen that shocks given to marketing strategy in MR affects more at each of the decision-making unit’s (DMU’s) compared to other variables, further the authors could also investigate the dependent variables (output) shocks to input variables. Social implications – Methodology can be applied to a wide range of evaluation problems in place of conventional DEA models. Results show that lagged effects can lead to substantial discrepancies in evaluation results. Biased evaluation results would easily lead to erroneous decision and policy making for the firm. Therefore the authors should always take a broader perspective in evaluating longitudinal performance by incorporating the effects into evaluation and decision-making processes. Future work of this study could look into the possibility of modeling in a stochastic supply chain environment. In addition, it will also be interesting to look into evaluating the stochastic DEA model in multiple time periods in order to examine whether there is any technological influence on the supply chain efficiency. Originality/value – The contribution of this study provides useful insights into the use of DDEA as a modeling tool to aid managerial decision making in assessing supply chain efficiency in dynamic environment.

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Guan, Yong Hua, Hai Fang Cheng, and Yong Ye. "Performance Evaluation of Sustainable Supply Chain Based on AHP and Fuzzy Comprehensive Evaluation." Applied Mechanics and Materials 26-28 (June 2010): 1004–7. http://dx.doi.org/10.4028/www.scientific.net/amm.26-28.1004.

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Due to limited materials and energy, more attention has been paid to the adverse impacts of the global economy’s rapid development on the environment and society. The sustainable and long-term development strategy becomes extremely urgent and important for the enterprises. Manufactures and their supply chain should take measures to implement sustainable development strategy in future production. The concept of sustainability is introduced into the field of supply chain and the structure of sustainable chain is constructed in this paper. And a method of sustainable supply chain performance evaluation is proposed. It evaluates the supply chain performance in four dimensions, namely, operational, financial, social and environmental dimensions. Then a performance evaluation model of sustainable supply chain based on AHP and fuzzy comprehensive evaluation method is established. This paper gives a case to evaluate the sustainable supply chain performance with the model and implications are given finally.

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18

Xiong, Biao, Rong Fan, Shuai Wang, Bixin Li, and Can Wang. "Performance Evaluation and Disruption Recovery for Military Supply Chain Network." Complexity 2020 (May 20, 2020): 1–10. http://dx.doi.org/10.1155/2020/9760604.

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The performance of military supply chain networks (MSCNs) against disruptions is an important consideration for defense logistics decision making, and it is crucial to evaluate it scientifically and accurately. This paper highlights the problem from the perspective of targeted defense strategies before being attacked and analyzes the acceptable recovery time against attacks. A topological structure model, with three exclusive features, in contrast with traditional networks, is used to describe the structure of military supply chain networks. In order to provide a platform for evaluating performance, a simulation method based on exploratory analysis is presented. Considering supply capability against disruptions and the acceptable recovery time for an MSCN after disruptions, evaluation metrics including supply capability and disruption recovery are proposed. By applying the model and algorithms to a POL supply network in a theater, we obtain the values of supply capability and disruption recovery against different disruptions. We also identify the key entities which can easily cause catastrophic failure to this network and which need to be protected against carefully. The results show that new evaluation metrics can capture important performance requirements for military supply chain networks. We also find that the proposed method in this paper can solve the problem of evaluating performance and analyzing disruption recovery in a feasible and effective manner.

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19

Chen, Fei Long. "Fuzzy Comprehensive Evaluation Algorithm and Application of Supply Chain Performance." Applied Mechanics and Materials 63-64 (June 2011): 944–47. http://dx.doi.org/10.4028/www.scientific.net/amm.63-64.944.

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This article embarks from the connotation of supply chain performance and its evaluation indexes’ present research situation, selects the key indexes of supply chain performance evaluation, constructs indexes system of supply chain performance evaluation, and uses fuzzy comprehensive evaluation algorithm to make appraisal on the key indexes. Finally through computation and analysis of specific cases to show this appraisal method is helpful for enterprise improving their overall supply chain performance.

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Narimissa, Omid, Ali Kangarani‐Farahani, and Saber Molla‐Alizadeh‐Zavardehi. "Evaluation of sustainable supply chain management performance: Indicators." Sustainable Development 28, no. 1 (2019): 118–31. http://dx.doi.org/10.1002/sd.1976.

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21

Chen, Ci, and Hong Yan. "Network DEA model for supply chain performance evaluation." European Journal of Operational Research 213, no. 1 (2011): 147–55. http://dx.doi.org/10.1016/j.ejor.2011.03.010.

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22

Falatoonitoosi, Elham, Zulkiflle Leman, and Shahryar Sorooshian. "Modeling for Green Supply Chain Evaluation." Mathematical Problems in Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/201208.

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Green supply chain management (GSCM) has become a practical approach to develop environmental performance. Under strict regulations and stakeholder pressures, enterprises need to enhance and improve GSCM practices, which are influenced by both traditional and green factors. This study developed a causal evaluation model to guide selection of qualified suppliers by prioritizing various criteria and mapping causal relationships to find effective criteria to improve green supply chain. The aim of the case study was to model and examine the influential and important main GSCM practices, namely, green logistics, organizational performance, green organizational activities, environmental protection, and green supplier evaluation. In the case study, decision-making trial and evaluation laboratory technique is applied to test the developed model. The result of the case study shows only “green supplier evaluation” and “green organizational activities” criteria of the model are in the cause group and the other criteria are in the effect group.

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23

Varma, Siddharth, Subhash Wadhwa, and S. G. Deshmukh. "Evaluating petroleum supply chain performance." Asia Pacific Journal of Marketing and Logistics 20, no. 3 (2008): 343–56. http://dx.doi.org/10.1108/13555850810890093.

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Du, Li Zhen, Cheng Ran Wang, and De Xin Tao. "The Performance Evaluate System of Automotive Supply Chain." Applied Mechanics and Materials 339 (July 2013): 766–71. http://dx.doi.org/10.4028/www.scientific.net/amm.339.766.

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The Performance Evaluation Index System of automotive Supply Chain is established in this paper. Considering the time-varying characteristics of the evaluation object, combining Analytic Hierarchy Process (AHP) with fuzzy comprehensive evaluation, multi-level dynamic fuzzy evaluation model is adopted to comprehensively evaluate the overall performance of the automotive supply chain. Based on this, the Performance Evaluation System (PES) of automotive integrated supply chain is developed on MATLAB software platform. In the end, the validity and feasibility of the system is validated by an example.

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Wang, Fang Zhou. "The Study on Performance Measurement of Green Supply Chain Management." Applied Mechanics and Materials 411-414 (September 2013): 2742–45. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.2742.

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In this paper, using SCOR model as a framework of green supply chain, the authors establish the indicator system of overall performance evaluation on the green supply chain from the finance, operations and environment of the supply chain. According to the characteristics of the multi-level performance evaluation system and the fuzzy comprehensive evaluation method, the authors build the enterprise performance evaluation model on the green supply chain management. Using the implementation of the green supply chain on the Wilsonart Company as a case, the authors analyze and test that the green supply chain management can improve the overall performance of enterprises.

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Kumar Sahu, Anoop, Saurav Datta, and Siba Sankar Mahapatra. "Supply chain performance benchmarking using grey-MOORA approach." Grey Systems: Theory and Application 4, no. 1 (2014): 24–55. http://dx.doi.org/10.1108/gs-07-2013-0011.

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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.

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Gu, Hong Qiang, Hui Song, and Cheng Zhang. "Study on Supply Chain Performance Evaluation Method of Equipment Spare Parts." Advanced Materials Research 605-607 (December 2012): 553–56. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.553.

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Conducting the performance evaluation of equipment supports parts supply chain timely and accurately can provide reliable information for equipment support commander to adjust equipment spare parts inventory policy. Fuzzy comprehensive hierarchy analysis method is used to evaluate the supply chain performance of equipment spare parts. The performance evaluation index system of equipment spare supply chain is established firstly based on the analysis of all the influence factors. The application steps of fuzzy comprehensive hierarchy analysis method to supply chain performance evaluation are illustrated in detail. A performance evaluation example is conducted at last. The evaluation result demonstrates that the provided method can give the performance level, which verifies the correctness and validity of the proposed method and provides an efficient method for supply chain performance evaluation of equipment spare parts.

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Dong, Hai, and Chun Ling Li. "Agile Supply Chain Performance Evaluation of Automobile Manufacturing Based on Regression Analysis." Applied Mechanics and Materials 397-400 (September 2013): 2662–66. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2662.

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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.

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Sutrisno, Agung, Benny L. Maluegha, and Jan Soukotta. "A Conceptual Model on Integrating Supply Chain Operations Reference (SCOR) into Disaster Response Service Supply Chain FMEA." International Journal of Innovation in Enterprise System 2, no. 02 (2018): 39–43. http://dx.doi.org/10.25124/ijies.v2i02.24.

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Becoming country prone to the occurrence of natural disasters, determination on risk variables affecting successful operation of disaster response service supply chain using supply chain FMEA (Failure Mode and Effect Analysis) is undeniably important to support successfulness of humanitarian operation. However, scientific studies concerning on integrating SCOR into Risk evaluation of disaster response supply chain is rarely found in references. To response such gap, this paper presents a conceptual model on integrating disaster response supply chain FMEA with Supply Chain Operational Reference (SCOR) to determine a conceptual risk-based performance evaluation model in disaster response supply chain. A framework on integrating Service Supply Chain FMEA with SCOR is presented coupled with a decision support model for evaluating criticality of risk-based performance index and followed with discussions and new opportunity for further investigations. Keywords—Service Supply Chain, FMEA, SCOR, Disaster Response, Risk.

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Jia, Hui Min, Kai Chao Yu, and Jin Chang Zhang. "A Study on Performance Evaluation of Green Supply Chain Management Based on DEA." Advanced Materials Research 1006-1007 (August 2014): 525–29. http://dx.doi.org/10.4028/www.scientific.net/amr.1006-1007.525.

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Green supply chain is necessary for economical sustainable development. In this paper, green supply chain and traditional supply chain are compared and analyzed, characters of green supply chain are discussed, and the harm of traditional supply chain to the environment is very serious. Then, DEA model is introduced to evaluate green supply chain. Based on the above, this paper finds out effective non-DEA enterprises by bringing the performance indicators of 12 enterprises into DEA model, which can provide the reference for enterprises to improve operating mode of the supply chain or develop a new green supply chain.

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Yang, Qiang, and Yi Zhuang. "The Comprehensive Performance Evaluation to LSSC Based on Grey Relational Analysis." Advanced Materials Research 785-786 (September 2013): 1477–79. http://dx.doi.org/10.4028/www.scientific.net/amr.785-786.1477.

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Based on the full consideration of the structure and coordination in the service supply chain, an evaluation system focusing on evaluating the logistics service supply chain performance was set up. In this paper we introduce the grey theory into the evaluation system and construct an evaluation model based on grey relational analysis method. The example shows that the grey relational analysis can whiten the unascertained relationship between the evaluation factors effectively, reduce the influence of subjective factors, and improve the accuracy of the evaluation.

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Abidi, Hella, Sander de Leeuw, and Matthias Klumpp. "Humanitarian supply chain performance management: a systematic literature review." Supply Chain Management: An International Journal 19, no. 5/6 (2014): 592–608. http://dx.doi.org/10.1108/scm-09-2013-0349.

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Purpose – This paper aims to identify the state of the art of performance measurement and management in humanitarian supply chains; to categorize performance measurement indicators in the five supply chain phases of Gunasekaran and Kobu (2007) and evaluate them based on the evaluation criteria of Caplice and Sheffi (1995); and to define gaps and challenges in this field and give insights for future research in this domain. Design/methodology/approach – A literature review has been conducted using a structured method based on Denyer and Tranfield (2009) and Rousseau et al. (2008). The state of the art on humanitarian supply chain performance management with a focus on measurement frameworks and indicators and their applications in practice is classified in three categories. The first category is the definition and measurement of success in humanitarian supply chains. The second category is managing performance, which focuses on describing and analyzing the actual practice of managing performance. The third category shows the challenges in performance management that humanitarian supply chain actors deal with. Findings – Findings reveal that performance measurement and management in humanitarian supply chains is still an open area of research, especially compared to the commercial supply chain sector. Furthermore, the research indicates that performance measurement and management in humanitarian supply chains has to be developed in support of the supply chain strategy. Based on the findings of the literature review on performance measurement and management in the commercial and humanitarian field, a first classification of 94 performance measurement indicators in humanitarian supply chains is presented. Furthermore, the paper shows key problems why performance measurement and management systems have not been widely developed and systematically implemented in humanitarian supply chains and are not part of the supply chain strategy. The authors propose performance measurement guidelines that include input and output criteria. They develop a research agenda that focuses on four research questions for designing, deploying and disseminating performance measurement and management in humanitarian supply chains. Practical implications – The result helps the humanitarian supply chain community to conduct further research in this area and to develop performance measurement frameworks and indicators that suit humanitarian supply chains. Originality/value – It is the first systematic approach to categorize research output regarding performance measurement and management in humanitarian supply chains. The paper shows the state of the art in performance measurement and management in humanitarian supply chains and develops a research agenda.

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Tuni, Andrea, Athanasios Rentizelas, and Alex Duffy. "Environmental performance measurement for green supply chains." International Journal of Physical Distribution & Logistics Management 48, no. 8 (2018): 765–93. http://dx.doi.org/10.1108/ijpdlm-02-2017-0062.

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Purpose The majority of the environmental impacts in a typical supply chain can arise beyond the focal firm boundaries. However, no standardised method to quantify these impacts at the supply chain level currently exists. The purpose of this paper is to identify the quantitative methods developed to measure the environmental performance of supply chains and evaluate their key features. Design/methodology/approach A systematic literature review is conducted at the intersection of performance measurement and green supply chain management (GSCM) fields, covering 78 publications in peer-reviewed academic journals. The literature is reviewed according to several perspectives, including the environmental aspects considered, the main purpose of measurement, model types and the extent of supply chain covered by performance measurements. Findings Adopted environmental metrics show a low degree of standardisation and focus on natural resources, energy and emissions to air. The visibility and traceability of environmental aspects are still limited; the assessment of environmental impacts does not span in most cases beyond the direct business partners of the focal firms. A trade-off was observed between the range of environmental aspects and the extent of the supply chain considered with no method suitable for a holistic evaluation of the environmental supply chain performance identified. Three major streams of research developing in the field are identified, based on different scope. Originality/value This paper is the first attempt to examine in detail what tiers of the supply chain are actually involved in green performance assessment, ultimately contributing to clarify the scope of the supply chain dimension in GSCM performance measurement research. The work also recognises which methods are applicable to extended supply chains and explores how different methodologies perform in terms of supply chain extent covered.

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Acquaye, Adolf, Andrea Genovese, John Barrett, and S. C. Lenny Koh. "Benchmarking carbon emissions performance in supply chains." Supply Chain Management: An International Journal 19, no. 3 (2014): 306–21. http://dx.doi.org/10.1108/scm-11-2013-0419.

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Purpose – The paper aims to develop a benchmarking framework to address issues such as supply chain complexity and visibility, geographical differences and non-standardized data, ensuring that the entire supply chain environmental impact (in terms of carbon) and resource use for all tiers, including domestic and import flows, are evaluated. Benchmarking has become an important issue in supply chain management practice. However, challenges such as supply chain complexity and visibility, geographical differences and non-standardized data have limited the development of approaches for evaluating performances of product supply chains. This industry-level benchmarking approach ensures that individual firms can compare their carbon emissions against other similarly structured firms. Design/methodology/approach – Benchmarking has become an important issue in supply chain management practice. However, challenges such as supply chain complexity and visibility, geographical differences and non-standardized data have limited the development of approaches for evaluating performances of product supply chains. The paper aims to develop a benchmarking framework to address these issues, ensuring that the entire supply chain environmental impact (in terms of carbon) and resource use for all tiers, including domestic and import flows, are evaluated. This industry-level benchmarking approach ensures that individual firms can compare their carbon emissions against other similarly structured firms. Findings – Supply chain carbon maps are developed as a means of producing industry-level benchmarks to set a measure for the environmental sustainability of product supply chains. The industry-level benchmark provides the first step for firms to manage the environmental performance, identify and target high carbon emission hot-spots and for cross-sectorial benchmarking. Originality/value – The paper links the theoretical development of supply chain environmental system based on the Multi-Regional Input–Output model to the innovative development of supply chain carbon maps, such that an industry-level benchmarking framework is produced as a means of setting product supply chain carbon emissions benchmarks.

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Routroy, Srikanta, Aayush Bhardwaj, Satyendra Kumar Sharma, and Bijay Kumar Rout. "Analysis of manufacturing supply chain agility performance using Taguchi loss functions and design of experiment." Benchmarking: An International Journal 25, no. 8 (2018): 3296–319. http://dx.doi.org/10.1108/bij-12-2017-0328.

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Purpose The purpose of this paper is to evaluate the agility performance level of manufacturing supply chains using Taguchi loss functions (TLFs) and design of experiment (DoE). Design/methodology/approach The proposed methodology is used for capturing the various agility losses using appropriate TLFs and the aggregated agility loss is calculated at different situations using DoE. The aggregated agility loss is analysed for comparing manufacturing supply chain agility performance. Findings The proposed methodology was applied to three Indian auto component supply chains, i.e. X, Y and Z. In total, 27 experiments were carried out using DoE and obtained results show that agility performance level is the highest for X followed by Z, whereas agility performance level is the least for Y. Research limitations/implications The proposed methodology is generic in nature and can be applied to a specific environment for comparing performance of different supply chains. The user has to identify the relevant agility enablers and capture the appropriate TLFs for the specific environment in which agility performance level has to be calculated and compared. Practical implications The proposed methodology provides an effective approach for evaluating agility performance. It can be used by the supply chain manger to assess the supply chain agility performance level of own company with its competitors. These comparisons will help the manufacturing company to find the areas where it should focus. Originality/value Many studies and researches related to implementation and evaluation of agile manufacturing are reported in the literature but very few studies are available for evaluating the supply chain agility performance. This study will definitely provide a guideline for measuring and comparing manufacturing supply chain agility performance in general and Indian automotive supply chain in specific.

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Dong, Hai, and Shuang Dong. "Performance Evaluation of Green Supply Chain Based on Catastrophe Progression Method." Applied Mechanics and Materials 423-426 (September 2013): 2174–77. http://dx.doi.org/10.4028/www.scientific.net/amm.423-426.2174.

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With the development of society, environmental issues have been given more and more attention, and the improvement of public awareness, legal and environmental standards promote the rapid development of green supply chain. Combining with catastrophe progression method (CPM), enterprises who implement green supply chain are provided scientific and effective ways to manage company. Firstly, the evaluation process of CPM is given. Secondly, a set of green supply chain performance evaluation index system is designed on the basis of the connotation of green supply chain and environmental management standards, and the index system is designed by using dimensionless process. Finally, numerical examples show that the performance evaluation of green supply chain based on CPM has a higher scientific and practical application value.

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Ji, Shou Wen, Qing Xia Xie, and Yan Tao Dong. "Green Supply Chain Comprehensive Performance Evaluation in Electronics Manufacturers." Advanced Materials Research 479-481 (February 2012): 309–13. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.309.

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In this paper, an evaluation indicator system of green supply chain in electronics manufacturers is established, including five areas: financial level, business implementation, customer service level, development ability and green degrees. This paper uses the analytic hierarchy process to determine the subjective weights, uses the data envelopment analysis to determine the objective weights, uses fuzzy comprehensive evaluation method (FCE) to evaluate the performance of green supply chain in electronics manufacturers, and has an empirical research.

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Luo, Xiaochun, Zilong Wang, Lin Lu, and Yan Guan. "Supply Chain Flexibility Evaluation Based on Matter-Element Extension." Complexity 2020 (May 20, 2020): 1–12. http://dx.doi.org/10.1155/2020/8057924.

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Flexibility is an important indicator to consider the uncertain information processing ability of the supply chain comprehensively. It is a powerful way to improve the efficiency and quality of supply chain operation by evaluating the level of supply chain flexibility effectively. The traditional method is used to decompose the supply chain flexibility evaluation indicators from the perspective of system structure or cost saving, but these indicators cannot truly describe the dynamics of the supply chain operation. Otherwise, supply chain flexibility evaluation is a typical multiobjective evaluation; there are some incompatibilities between these flexible evaluation indicators, and the common evaluation methods are difficult to deal with such contradictions. In this paper, the dynamic characteristics of supply chain operation are considered, and the evaluation system of supply chain flexibility is designed from the perspective of operation efficiency. The matter-element analysis theory is used to create the comprehensive appraisal model of supply chain flexibility. The matter-element matrix solves the uncertainty and incompatibility of the evaluated factors used to assess supply chain flexibility. The paper evaluates the performance of four autoservice companies and concludes that the evaluation grades of the four companies are in line with the reality, indicating that the evaluation system and the method are effective and credible.

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Ali, Asad. "Performance Evaluation of Indian “Supply Chain Management” for Manufacturing Sector." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 362–71. http://dx.doi.org/10.22214/ijraset.2021.34908.

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In most organizations, financial results have been the key metric of progress. On a weekly, quarterly, and annual basis, the companies have created reporting structures and financial statements to measure their “supply chain” success. Companies, on the other hand, have struggled to establish successful real-time “supply chain” output analysis and processes. Companies today are working in an ever-changing and volatile world while still competing against global competition. As a result, the principle of “supply chain” management (SCM) has assumed strategic significance. So far, research has shown that many modern businesses have struggled to maximize their “supply chain’s capacity because they have often failed to develop the success metrics required to properly leverage their “supply chain”. Manufacturing companies in India are no exception. The authors of this paper want to suggest whether or not a specific solution is appropriate in the case of Indian manufacturing companies. All required factors influencing a company's “supply chain” success have been incorporated, and the suitability of “supply chain” measurement methods, especially for manufacturing organisations, has been suggested. A scale for “supply chain” efficiency methods was established using data obtained from 100 manufacturing organizations throughout India. The research findings are supposed to have important consequences for Indian manufacturing companies in terms of understanding the factors that contribute to effective SCM operations.

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Du, Li Zhen, De Xin Tao, and Lian Qing Yu. "Development and Application of the Performance Evaluation System for Integrated Supply Chain." Advanced Materials Research 1037 (October 2014): 532–35. http://dx.doi.org/10.4028/www.scientific.net/amr.1037.532.

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According to the definition of integrated supply chain performance, improved method of grey relational evaluation and multi-level dynamic fuzzy comprehensive evaluation method are adopted to comprehensively evaluate the overall performance of the integrated supply chain. Based on these, the Performance Evaluation System (PES) of the integrated supply chain is developed on MATLAB software platform. In the end, the validity and feasibility of the system is validated by an example, and the system can provide a convenient operation tool and scientific, objective decision basis for managers to evaluate the integrated supply chain performance.

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Sarache-Castro, William Ariel, Yasel José Costa-Salas, and Jhully Paulin Martínez-Giraldo. "Environmental performance evaluation under a green supply chain approach." DYNA 82, no. 189 (2015): 207–15. http://dx.doi.org/10.15446/dyna.v82n189.48550.

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Estampe, Dominique, Samir Lamouri, Jean-Luc Paris, and Sakina Brahim-Djelloul. "A framework for analysing supply chain performance evaluation models." International Journal of Production Economics 142, no. 2 (2013): 247–58. http://dx.doi.org/10.1016/j.ijpe.2010.11.024.

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Rossini, Matteo, and Alberto Portioli Staudacher. "Lean Supply Chain Planning: A Performance Evaluation through Simulation." MATEC Web of Conferences 81 (2016): 06002. http://dx.doi.org/10.1051/matecconf/20168106002.

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Tewari, Sumant Kumar, and Madhvendra Misra. "Developing supply chain evaluation framework through performance assessment approach." International Journal of Business Performance and Supply Chain Modelling 5, no. 1 (2013): 28. http://dx.doi.org/10.1504/ijbpscm.2013.051646.

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Arshadi Khamseh, Alireza, and Dariush Zahmatkesh. "Supply chain performance evaluation using robust data envelopment analysis." Uncertain Supply Chain Management 3, no. 3 (2015): 311–20. http://dx.doi.org/10.5267/j.uscm.2015.2.001.

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Zhu, Yan Xin, Su Jian Lee, and Jie Qing Zhang. "Performance evaluation on supplier collaboration of agricultural supply chain." International Journal of Information Systems and Change Management 8, no. 1 (2016): 23. http://dx.doi.org/10.1504/ijiscm.2016.077948.

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Vijayvargy, Lokesh, Jitesh Thakkar, and Gopal Agarwal. "Green supply chain management practices and performance." Journal of Manufacturing Technology Management 28, no. 3 (2017): 299–323. http://dx.doi.org/10.1108/jmtm-09-2016-0123.

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Purpose The purpose of this paper is to investigate the impact of organizational size on adoption of green supply chain management (GSCM) practices for the Indian industry. It also evaluates the impact of GSCM practices on organizational performance. Design/methodology/approach This study aims to empirically test the GSCM model to investigate the present orientation of the Indian industry toward GSCM practices using a pre-tested structured questionnaire. The statistical inferences were drawn using the data provided by 161 Indian firms. This has compared the GSCM practice implementations among small-sized, medium-sized and large-sized organizations. Findings The study reveals that Indian organizations have shown a satisfactory implementation of majority of the environmental practices, except supplier ISO:14001 certification and Tier-II supplier evaluation. Out of 21 practices, medium-sized organizations have adopted GSCM practices at a similar level compared with large organizations, with three exceptions: existing environmental management systems, support from mid-level and top management and supplier evaluation for environmental practice. It was found that GSCM adoption can lead to equal improvements in operational performance for both large-size and medium-size organizations. Originality/value This paper makes two major contributions in the domain of green supply chain practices in India. First, it investigates the adoption of GSCM practices in organizations of different sizes (small, medium and large) and the impact of GSCM practices on the performance of organizations of different sizes. Second, it identifies the key areas for improvement and recommends a set of measures for improving the implementation of GSCM practices in Indian organizations.

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Ortas, Eduardo, José M. Moneva, and Igor Álvarez. "Sustainable supply chain and company performance." Supply Chain Management: An International Journal 19, no. 3 (2014): 332–50. http://dx.doi.org/10.1108/scm-12-2013-0444.

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Purpose – This paper aims to investigate the link between a sustainable supply chain and companies’ financial performance (FP) and provide empirical evidence about the relationship between these two constructs. This link is an important, but still unclear, subject. Design/methodology/approach – Multivariate measures of sustainable supply chain performance and companies’ FP are used for Granger causality tests on a large, diverse sample of 3,900 companies in a time frame of eight years (2004-2011). Findings – Results indicate general bidirectional causality between sustainable supply chain performance and companies’ margins and revenue. However, the link between firms’ profitability and sustainable supply chain performance is unidirectional. In addition, the recent financial crisis altered this link between the studied constructs. Finally, a wide diversity in relationship patterns between sustainable supply chain performance and companies’ FP emerges when the full sample is divided into different geographical regions and economic sectors as specified by the Global Industry Classification Standard system. Practical implications – This research makes recommendations for improving several processes, such as stakeholder evaluation of the sustainable supply chain performance of companies worldwide and manager testing of environmental policy outcomes. Originality/value – Building on the mostly qualitative literature on sustainable supply chain performance and companies’ FP, this research provides quantitative evidence of the gaps between these constructs. This research contributes to the discussions of supply chain management, environmental practices and the drivers of companies’ environmental and financial success.

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Tseng, MingLang, Ming Lim, and Wai Peng Wong. "Sustainable supply chain management." Industrial Management & Data Systems 115, no. 3 (2015): 436–61. http://dx.doi.org/10.1108/imds-10-2014-0319.

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Purpose – Assessing a measure of sustainable supply chain management (SSCM) performance is currently a key challenge. The literature on SSCM is very limited and performance measures need to have a systematic framework. The recently developed balanced scorecard (BSC) is a measurement system that requires a balanced set of financial and non-financial measures. The purpose of this paper is to evaluate the SSCM performance based on four aspects i.e. sustainability, internal operations, learning and growth, and stakeholder. Design/methodology/approach – This paper developed a BSC hierarchical network for SSCM in a close-loop hierarchical structure. A generalized quantitative evaluation model based on the Fuzzy Delphi Method (FDM) and Analytical Network Process (ANP) were then used to consider both the interdependence among measures and the fuzziness of subjective measures in SSCM. Findings – The results of this study indicate that the top-ranking aspect to consider is that of stakeholders, and the top five criteria are green design, corporate sustainability, strategic planning for environmental management, supplier cost-saving initiatives and market share. Originality/value – The main contributions of this study are twofold. First, this paper provides valuable support for supply chain stakeholders regarding the nature of network hierarchical relations with qualitative and quantitative scales. Second, this paper improves practical performance and enhances management effectiveness for SSCM.

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Sahu, Santosh Kumar, Saurav Datta, and Siba Sankar Mahapatra. "Appraisement and benchmarking of supply chain performance extent." Grey Systems: Theory and Application 5, no. 1 (2015): 2–30. http://dx.doi.org/10.1108/gs-10-2014-0036.

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Purpose – Supply chain performance (SCP) extent can be attributed as a function of multiple criteria/attributes. Most of the criterions/attributes being intangible in nature; SCP appraisement relies on the subjective judgment of the decision makers. Moreover, quantitative appraisement of SCP appears to be very difficult due to involvement of ill-defined (vague) performance measures as well as metrics. The purpose of this paper is to develop an efficient decision support system (DSS) to facilitate SCP appraisement, benchmarking and related decision making. Design/methodology/approach – This study explores the concept of fuzzy logic in order to tackle incomplete and inconsistent subjective judgment of the decision makers’ whilst evaluating supply chain’s overall performance. Grey relational analysis has been adopted in the later stage to derive appropriate ranking of alternative companies/enterprises (in the same industry) in view of ongoing SCP extent. Findings – In this work, a performance appraisement index system has been postulated to gather evaluation information (weights and ratings) in relation to SCP measures and metrics. Combining the concepts of fuzzy set theory, entropy, ideal and grey relation analysis, a fuzzy grey relation method for SCP benchmarking problem has been presented. First, triangular fuzzy numbers and linguistic evaluation information characterized by triangular fuzzy numbers have been used to evaluate the importance weights of all criteria and the superiority of all alternatives vs various criteria above the alternative level. Then, the concept of entropy has been utilized to solve the adjusted integration weight of all objective criteria above the alternative level. Moreover, using the concept of the grey ration grades, various alternatives have been ranked accordingly. Originality/value – Finally, an empirical example of selecting most appropriate company has been used to demonstrate the ease of applicability of the aforesaid approach. The study results showed that this method appears to be an effective means for tackling multi-criteria decision-making problems in uncertain environments. Empirical data have been analysed and results obtained thereof, have been reported to exhibit application potential of the said fuzzy grey relation based DSS in appropriate situation.

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