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.

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.

Supply chain performance measurement for third party logistics

2014 ◽  
Vol 21 (6) ◽  
pp. 944-963 ◽  
Author(s):  
Dhanya Jothimani ◽  
S.P. Sarmah
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Asset Management ◽  
Real Life ◽  
Integrated Approach ◽  
Third Party ◽  
Supply Chain Performance ◽  
Third Party Logistics ◽  
Content Type ◽  
Scor Model

Purpose – The purpose of the paper is to explore the applicability of the Supply Chain Operations Reference (SCOR) model and to identify the key performance indicators (KPIs) for the service-oriented sector – namely a third-party logistics (3PL) service provider. Design/methodology/approach – The performance attributes of SCOR model (reliability, responsiveness, flexibility, cost measures and asset management efficiency) are used as the basis for defining the KPIs. A questionnaire was sent to relevant decision makers. Findings – This paper illustrates the use of the integrated approach of SCOR, fuzzy analytic hierarchy process (FAHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for measuring the supply chain performance (SCP) in the light of a real life case study company. Research limitations/implications – This method forms the basis for performance measurement using the SCOR model to evaluate strategy. In this work, the performance of the company has been compared with its own previous performance. The work can be extended to external benchmarking and also to other sectors. Practical implications – The paper attempts to overcome the conflict between the top-down strategy and bottom-up implementation process. The paper links the strategic objective with operations which would aid managers at different levels of an organization with decision making. The KPIs, when implemented in a business intelligence (BI) tool, would result in real time performance measurement. Originality/value – The paper focusses on 3PLs. It provides a base for measuring the SCP using SCOR model. The paper also identified KPIs for three domains of 3PL, namely freight forwarding, customs and warehousing.

Measurement of Supply Chain Performance by Using Supply Chain Operation Reference Based on Analytical Hierarchy Process

2019 ◽  
Vol 7 ◽  
Author(s):  
Muhammad Saadillah Mursyid ◽  
Hana Catur Wahyuni
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Analytical Hierarchy Process ◽  
Optimal Performance ◽  
Supply Chain Performance ◽  
Ahp Method ◽  
Chain Operation ◽  
Supply Chain Operation ◽  
Hierarchy Process ◽  
Level Of Importance

This study uses the Supply Chain Operation Reference (SCOR) and Analytical Hierarchy Process(AHP) methods. From the result of research using Supply Chain Operation Reference (SCOR) method and Analytical Hierarchy Process (AHP) produced 27 KPI where for plan perspective there are 4 KPI consisting of reliability 2 KPI, responsiveness 2 KPI. For a source perspective there are 8 KPI consisting of reliability 4 KPI, responsiveness 2 KPI, Flexibility 2 KPI. Make perspective there are 7 KPI consisting of reliability 3 KPI, responsiveness 2 KPI, flexibility 2 KPI. For a delivery perspective there are 5 KPIs that consist of 3 KPI reliability, 2 KPI responsiveness. Then for the return perspective there are 4 KPI consisting of 2 KPI reliability, 2 KPI responsiveness. Then with the Analytical Hierarchy Process (AHP) method produced a delivery perspective is the perspective with the highest level of importance on the supply chain performance of PT. MSM. With the results of this performance measurement can be used as a benchmark for the company to get optimal performance.

scholarly journals Empirical study of measuring supply chain performance

2015 ◽  
Vol 22 (2) ◽  
pp. 290-308 ◽  
Author(s):  
Ilkka Sillanpää
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Manufacturing Industry ◽  
Case Study Research ◽  
Future Research ◽  
Order Book ◽  
Content Type ◽  
Measurement Framework ◽  
Efficiency And Effectiveness

Purpose – Supply chain (SC) performance measurement – the process of qualifying the efficiency and effectiveness of the SC. The purpose of this paper is to create a SC measurement framework for manufacturing industry, define which data should be measured and verify the measurement framework in the case company’s SC. Design/methodology/approach – There is a review of the current understanding of supply chain management and literature related to SC performance measurement and the study creates a framework for SC measurement. This research is qualitative case study research. Findings – This study presents the main theoretical framework of SC performance measurement. The key elements for the measurement framework were defined as time, profitability, order book analysis and managerial analysis. The measurement framework is tested by measuring case SC performance. Research limitations/implications – In the study, a performance measurement framework was created for the needs of manufacturing industry. Suggestions for future research are multiple case study in different manufacturing industry areas and positivistic-based SC performance research. Practical implications – The measurement framework in this study offers guidelines for measuring the SC in manufacturing industry but the measurement framework could be used in different areas of industry as well. Originality/value – The SC performance measurement framework is tested and a valid framework for SC performance measurement in manufacturing industry.

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 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.

scholarly journals PERANCANGAN KEY PERFORMANCE INDICATORS KINERJA SUPPLY CHAIN PT.XYZ DENGAN PENDEKATAN BALANCED SCORECARD

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Joko Hardono ◽  
Henri Ponda
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Balanced Scorecard ◽  
Performance Indicator ◽  
Total Weight ◽  
Supply Chain Performance ◽  
Internal Process ◽  
Customer Perspective ◽  
Process Perspective ◽  
Shareholder Perspective

Supply Chain performance measurement PT.XYZ had only seen from the productivity of the Company. Productivity is only able to measure the performance of the internal process, while the internal process is but one link in the chain of Supply Chain. Companies need to design a model of supply chain performance measurement as a whole and integrated in a causal relationship, ranging from suppliers, internal processes to customers, in order to know the effectiveness of supply chain companies. Balanced scorecard meet the necessary perspective. Balanced scorecard model is used as a framework for designing of Key Performance Indicator (KPI) of supply chain performance PT.XYZ. KPI is design based on 4 perspectives, that is : internal processes, customers, learning and growth and perspective financial. Weighting to determine priorities between perspective and KPI performed using Analytical Hierarchy Process (AHP). Result from th eanalysis is generated 20 KPI. Internal process perspective contain 9 KPIs with total weight 21,0 %, Customer perspective contain 6 KPIs with total weight 42,6 %, Learning and growth perspective contain 4 KPIs with total weight 17,5 %, Shareholder perspective contain 1 KPI with total weight 19,0.

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. 

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