scholarly journals Development of Performance Measurement Framework for Supply Chain in Desalination Industry using AHP

2018 ◽  
Vol 7 (3.20) ◽  
pp. 393
Author(s):  
Zulkifli M. Nopiah ◽  
Hasan Balfaqih ◽  
Nizaroyani Saibani
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Performance Criteria ◽  
Supply Chain Performance ◽  
Weight Factor ◽  
Seawater Desalination ◽  
Measurement Framework ◽  
Drinkable Water ◽  
End To End ◽  
Desalination Technology

The concern regarding desalination technology has been rising gradually for the last years because of the enlarged need for drinkable water worldwide. Yet, there are not many studies concerned assessing the seawater desalination supply chain (WDSC) from end to end. Therefore, the objective of this paper is to propose a framework which is intended to assess the performance of WDSC. Different desalination and supply chain performance criteria and metrics have been revised and distributed into financial, social, operation, and environmental perspective. The performance criteria and metrics have been further revised by a panel of experts using Delphi-AHP technique. A weight factor has been allocated to every perspective, criteria and metric based on its importance to the WDSC. The proposed framework could serve as a reference for the researchers in desalination industry. The proposed framework would be helpful for both academics and practitioners. 

scholarly journals Supply Chain Performance Measurement Framework for Construction Materials: Micro Meso Macro

2020 ◽  
Vol 19 (2) ◽  
pp. 101
Author(s):  
Moh Nur Sholeh ◽  
Mochamad Agung Wibowo ◽  
Naniek Utami Handayani
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
National Level ◽  
Construction Materials ◽  
Supply Chain Performance ◽  
Construction Companies ◽  
Measurement Framework ◽  
Management Concept ◽  
Increase Productivity ◽  
The Relationship

Productivity is a challenge in the construction industry, commonly initiated by fragmentation. In addition, some work levels have been identified, including the micro, meso, and macro. However, the construction supply chain is one of the possible solutions adopted to increase productivity. The purpose of this study, therefore, is to develop a framework for measuring supply chain construction performance at the micro, meso, and macro levels. These respective stages are tiered from the bottom to the top level as a supply chain management concept. Furthermore, a design for the supply chain performance measurement framework is created, followed by formulation with KPI, and the consequent application in the project. Therefore, performance is evaluated based on the construction materials, as a large resource. The results identified the supply chain performance at the micro-level as the basis for possible measures between contractor and supplier, using the SCOR. However, the emphasis was made on the strength of construction companies with large suppliers at the meso level. Meanwhile, the macro-level includes the accumulation of related measurements from micro as well as meso, and are consequently used to define the relationship between construction actors at the national level.

scholarly journals Framework pengukuran kinerja rantai pasok industri kemasan plastik menggunakan metode SCOR-AHP

2021 ◽  
Vol 13 (2) ◽  
pp. 183
Author(s):  
Deky Aryanto ◽  
Sawarni Hasibuan
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Asset Management ◽  
Manufacturing Industry ◽  
Performance Indicator ◽  
Supply Chain Performance ◽  
Plastic Packaging ◽  
Measurement Framework ◽  
Packaging Industry ◽  
Level Of Importance

The manufacturing industry in general cannot be separated from the role of the plastic industry. In Indonesia, there are 925 companies that produce various kinds of plastic products for the food and beverage industry, automotive industry, pharmaceutical industry and other industries. Companies are faced with challenges to improve their supply chain competitiveness, while plastic packaging companies generally do not have a comprehensive performance measurement framework in their supply chains. The purpose of this research is to select and determine the level of importance of the Key Performance Indicator (KPI) for measuring the supply chain performance of the plastic packaging industry using the SCOR and AHP framework. In the initial stage, 45 KPIs were identified, from the results of expert validation, 29 KPIs were distributed to the dimensions of reliability, responsiveness, flexibility, cost, and assets. At the level 1 hierarchy the greatest level of importance is generated in the dimensions of reliability (A1), asset management (E1), responsiveness (B1), cost (D1), and flexibility (C1) with weights of 0.262, 0.209, respectively. 0.191, 0.175, and 0.163. The largest distribution of KPIs is on the reliability dimension, namely 32%, followed by the cost dimension of 16%, 12% responsiveness, flexibility and asset management have the same distribution, namely 4%. Based on the results of weighting using the AHP method, a supply chain performance measurement framework is recommended in the case of the plastic packaging industry.

scholarly journals Performance Measurement of Military Supply Chains

2018 ◽  
Vol 8 (02) ◽  
Author(s):  
Sanjay Sethi
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Supply Chains ◽  
Reference Model ◽  
Armed Forces ◽  
The United States ◽  
Supply Chain Performance ◽  
Measurement Framework ◽  
The Government ◽  
The Military

Defence is the largest item of physical expenditure in the Union budget presented by the Government of India every year. A substantial portion of the budget is allocated for equipping the army, a task which is performed by a very complex and extended supply chain. Therefore, it is essential that the performance of the military’s supply chain is measured and monitored, so that the nation derives value from the expenditure made on the supply chain. Moreover, the effectiveness of the supply chain provides the defence forces competitive advantage, and thus its performance has a direct bearing on the country’s security. The wars in future are more likely to be a competition between the rival supply chains. Development of a suitable framework for measuring the performance of any extended supply chain is a challenging task. The challenge arises from the very design and nature of the supply chain construct. The entities which constitute the supply chain invariably have varied goals and objectives, and therefore more than often, they indulge in adversarial practices and operate in an environment of mutual distrust. The paper dwells upon the conceptual development of an ideal performance measurement framework for the military supply chain. It compares the military and commercial supply chains, and discusses some of the principal performance measurement frameworks, like the Balanced scorecard, Supply Chain Operations Reference model amongst others used by the commercial supply chains. It also discusses the endeavours made towards supply chain performance evaluation by some of the modern militaries to include that of the United States, United Kingdom, and Australia. It also briefly covers the Indian approach to evaluation of supply chain performance. The paper brings out the relevance of the subject, challenges there in, and its importance to the country’s armed forces.

Development of IoT based data-driven agriculture supply chain performance measurement framework

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sanjeev Yadav ◽  
Dixit Garg ◽  
Sunil Luthra
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Asset Management ◽  
Business Processes ◽  
Fuzzy Topsis ◽  
Data Driven ◽  
Supply Chain Performance ◽  
Content Type ◽  
Measurement Framework ◽  
Level 2

PurposePerformance measurement (PM) of any supply chain is prerequisite for improving its competitiveness and sustainability. This paper develops a framework for supply chain performance measurement (SCPM) for agriculture supply chain (ASC) based on internet of things (IoT). Moreover, this article explains the role of IoT in data collection and communication (SC visibility) based on the supply chain operation reference (SCOR) model.Design/methodology/approachThis research identifies various key performance indicators (KPIs) and also their role in SCPM for improving its sustainability by using SCOR. Further, Shannon entropy is utilized for weighing the basic processes of SCPM and by using weights, fuzzy TOPSIS is applied for ranking of identified KPIs at metrics level 2 (deeper level).Findings“Flexibility” and “Responsiveness” have been reported as two most important KPIs in IoT based SCPM framework for ASC towards achieving sustainability.Research limitations/implicationsIn this research, metrics are explained only at SCOR level 2. But, this research will guide the managers and practitioners of various organizations to set their benchmark for comparing their performance at different levels of business processes. Further, this paper has managerial implications to develop an effective system for PM of IoT based data-driven ASC.Originality/valueBy using IoT based data driven system, this article fills the gap between SCPM by measuring different SC strategies in their performance measurable form of reliable, responsive and asset management etc.

Increasing Army Supply Chain Performance Using an Integrated End-to-End Metrics System

2017 ◽  
Vol 24 (1) ◽  
pp. 66-100
Author(s):  
Fan Tseng ◽  
Laird Burns ◽  
James Simpson ◽  
David Berkowitz
Keyword(s):  
Supply Chain ◽  
Supply Chain Performance ◽  
End To End

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

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