Supply Chain Performance Measurement

2012 ◽  
pp. 133-148
Author(s):  
Andrew C. Lyons ◽  
Adrian E. Coronado Mondragon ◽  
Frank Piller ◽  
Raúl Poler
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Supply Chain Performance

scholarly journals Performance Management of Supply Chain Sustainability in Small and Medium-Sized Enterprises Using a Combined Structural Equation Modelling and Data Envelopment Analysis

2019 ◽  
Author(s):  
Prasanta Kumar Dey ◽  
Guo-liang Yang ◽  
Chrysovalantis Malesios ◽  
Debashree De ◽  
Konstantinos Evangelinos
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Structural Equation ◽  
Supply Chain Performance ◽  
Data Envelopment ◽  
Sustainable Supply Chain ◽  
Policy Makers ◽  
Sustainability Performance ◽  
Equation Modelling ◽  
Improvement Measures

AbstractAlthough the contribution of small and medium-sized enterprises (SMEs) to economic growth is beyond doubt, they collectively affect the environment and society negatively. As SMEs have to perform in a very competitive environment, they often find it difficult to achieve their environmental and social targets. Therefore, making SMEs sustainable is one of the most daunting tasks for both policy makers and SME owners/managers alike. Prior research argues that through measuring SMEs’ supply chain sustainability performance and deriving means of improvement one can make SMEs’ business more viable, not only from an economic perspective, but also from the environmental and social point of view. Prior studies apply data envelopment analysis (DEA) for measuring the performance of groups of SMEs using multiple criteria (inputs and outputs) by segregating efficient and inefficient SMEs and suggesting improvement measures for each inefficient SME through benchmarking it against the most successful one. However, DEA is limited to recommending means of improvement solely for inefficient SMEs. To bridge this gap, the use of structural equation modelling (SEM) enables developing relationships between the criteria and sub-criteria for sustainability performance measurement that facilitates to identify improvement measures for every SME within a region through a statistical modelling approach. As SEM suggests improvements not from the perspective of individual SMEs but for the totality of SMEs involved, this tool is more suitable for policy makers than for individual company owners/managers. However, a performance measurement heuristic that combines DEA and SEM could make use of the best of each technique, and thereby could be the most appropriate tool for both policy makers and individual SME owners/managers. Additionally, SEM results can be utilized by DEA as inputs and outputs for more effective and robust results since the latter are based on more objective measurements. Although DEA and SEM have been applied separately to study the sustainability of organisations, according to the authors’ knowledge, there is no published research that has combined both the methods for sustainable supply chain performance measurement. The framework proposed in the present study has been applied in two different geographical locations—Normandy in France and Midlands in the UK—to demonstrate the effectiveness of sustainable supply chain performance measurement using the combined DEA and SEM approach. Additionally, the state of the companies’ sustainability in both regions is revealed with a number of comparative analyses.

scholarly journals Performance Measurement in the Agro-industrial Supply Chain of Passion Fruit Syrup in North Sumatra Province

2018 ◽  
Author(s):  
Seminar Nasional Multidisiplin Ilmu 2017 ◽  
Kimberly Febrina
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Business Processes ◽  
Raw Materials ◽  
Passion Fruit ◽  
Supply Chain Performance ◽  
Chain Operation ◽  
Processed Products ◽  
Supply Chain Operation ◽  
North Sumatra

Passion fruit syrup is one of a typical and famous fruit as the souvenir in the form of processed products from North Sumatra Province, especially Medan City. Nowadays, the sustainability of processed products of passion fruit syrup is facing an increasingly competitive market. It is therefore necessary to measure the performance of a superior supply chain supported by the procurement of raw materials that are managed effectively and efficiently. Supply chain performance is an indicator of the success of agroindustry companies in running their business processes. Performance measurement of agroindustry supply chain is needed to control and to determine the performance position of agroindustry produced. The purpose of this study was to identify and analyze the conditions of the supply chain of passion fruit syrup agroindustry and to measure the supply chain performance of passion fruit syrup agroindustry in North Sumatra Province. The method for analyzing the conditions of the supply chain of passion fruit syrup agroindustry used a long-term relationship approach. To measure the performance of the agro-industry supply chain, the Supply Chain Operation Reference (SCOR) and AHP approach were used. The results showed that the supply chain performance of passion fruit syrup agroindustry in North Sumatra Province was 76.90% and categorized medium indicating that coordination among actors in the supply chain has not been well established

scholarly journals Analisis Sistem Rantai Pasok PT. Semen Padang

2011 ◽  
Vol 10 (1) ◽  
pp. 113
Author(s):  
Fitri Julasmasari
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Performance Measurement ◽  
Material Flow ◽  
Supply Chain Performance ◽  
Chain Management ◽  
Organizational Goals ◽  
Total Productivity ◽  
Corporate Profits ◽  
The Relationship

Supply Chain Management is a concept or mechanism to increase the total productivity of companiesin the supply chain through optimization of the time, location and quantity of material flow from rawmaterials into semi-finished products and finished products. Supply Chain Management is not onlyabout the relationship with the supplier but also the link between the company and consumers. Tofind out the value of the company supply chain performance within a certain time, we need a draftmodel of supply chain performance measurement in which the design will be implemented at thecompany. By knowing the value of supply kunerja chainnya the company can improve theeffectiveness and productivity of the organization to achieve organizational goals is to win thecompetition, and increase corporate profits. Kata kunci: Supply Chain Management, PT. Semen Padang

scholarly journals Designing Key Indicators for Measuring E-Commerce Supply Chain Performance

2020 ◽  
Vol 8 (5) ◽  
pp. 4460-4464
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Research Finding ◽  
Structural Equation ◽  
Test Validity ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Strategic Policy ◽  
Logistics Capabilities ◽  
Key Indicators

E-commerce usage grew up rapidly in the business sectors. Its interaction run virtually which is from upstream to downstream or reverse process. This interaction is a description of SCM. SC performance measurement was employed to determine the level of performance that can be considered in determining strategic policy. This research aims to propose KPIs’ model for finance, information system and logistics capability dimensions in the e-commerce. The collecting of data was carried out by distributing questionnaires to respondents with amount of 100 questionnaires. In this research, the data was analyzed with the structural equation modeling (SEM) to test validity of KPI and hypotheses. As results in supply chain performance, 25 indicators are valid, involving 4 indicators on financial dimension, 9 indicators on logistic capability dimension, and 12 indicators on technology information dimension. Furthermore, this research finding is the logistic capabilities have significant effect on the financial aspect and information technology has a significant effect on logistics capabilities. This research finding may contribute on the development model of SC performance measurement.

Supply Chain Performance Measurement

2008 ◽  
pp. 3884-3889 ◽  
Author(s):  
Ismail Capar ◽  
Burak Eksioglu
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Supply Chain Performance
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