A measurement and management system of supply chain performance is paramount for supply chain to achieve competitive differentiation. This paper pays attention to the concept of supply chain and performance management and significance of measuring supply chain performance. It also deals with supply chain performance and metrics, characteristics of a good performance metric, types and categories of supply chain performance metrics, methods and approaches of measuring supply chain performance, and finally, information required when measuring supply chain performance.
Performance is the ability to meet certain criteria's, the time it takes, and the path used to get there. Supply chain performance is defined as the ability of the supply chain to deliver the right product to the correct location at the appropriate time at the lowest cost of logistics. This definition takes into account the time of delivery, cost, and value for the end consumer. The authors believe that this definition includes the most important aspects of the supply chain.
Table of Contents
1. Introduction
2. The Concept of Supply Chain Performance and Supply chain performance management
3. Performance management
4. Reasons for measuring supply chain performance
5. Supply Chain Performance Metrics
5.1 Characteristics of a Good Performance Metrics
5.2 Types and Categories of Supply chain Performance Metrics
6. Methods and Approaches of measuring supply chain performance
6.1 Balance Scorecard
6.2 SCOR Model
6.3 ABC - Activity-Based Costing
6.4 Economic Value-Added
6.5 The Logistics Scoreboard
7. Information required in measuring supply chain performance
8. Drivers of the Supply Chain Performance
8.1 Facility
8.2 Inventory
8.3 Transportation
8.4 Information
8.5 Sourcing
8.6 Pricing
9. Conclusion
Research Objectives and Core Topics
The primary objective of this work is to explore the systemic measurement and management of supply chain performance to achieve competitive differentiation. The research investigates how organizations define, quantify, and improve supply chain operations through various metrics and methodologies, while highlighting the critical challenges that hinder the implementation of effective performance management systems.
- Theoretical concepts of supply chain performance management.
- Taxonomy and characteristics of effective performance metrics.
- Critical evaluation of measurement methods like SCOR, Balance Scorecard, and ABC.
- Strategic analysis of the six key supply chain drivers.
- Identification of barriers to implementation, such as information sharing gaps and complex organizational relationships.
Excerpt from the Book
Characteristics of a Good Performance Metrics
When companies look at the various performance metrics that are available, there are a number of characteristics that they should look for when selecting metrics that will help with their business decisions as postulated by Chae 2009).
Easy To Understand - A good metric is one that can easily be understood by anyone that looks at it. It should be clear as to what the metric is actually measuring and how it is actually derived.
Quantitative - An important characteristic for a supply chain performance metric is that it is expressed by a value that is objective, i.e. derived from real data and not subjective.
Measures What is Important - Some metrics can look to be important, but when the data is analyzed, the relevance of the metric can be tenuous. It is vital that a performance metric on which business decisions are made should measure important data.
Causes Correct Behavior - A good performance metric should be one that makes the user take the correct action. For example, if metric shows a number of orders processed per day, then the correct action increases the number processed. However, sometimes the metric by itself can cause the user to take action but at the determent of other areas (Chae , 2009). For example, if the metric is to measure the warehouse staff by the number of movements per day, they can increase the number of movements at the determent of the number of trucks loaded and a number of orders processed.
Metrics Should be Easy To Collect - Sometimes companies select complex performance metrics that are very time-consuming to collect and may require time to be taken away from line staff to prepare. This is counterproductive and these types of metrics should be avoided.
Summary of Chapters
Introduction: Provides an overview of the necessity of measurement systems for achieving competitive advantage in diverse supply chain operations.
The Concept of Supply Chain Performance and Supply chain performance management: Defines performance through the lenses of efficacy, efficiency, and effectiveness, establishing the foundational requirements for meeting end-customer needs.
Performance management: Describes the shift from static indicators to dynamic, real-time enterprise metrics aimed at continuous business process optimization.
Reasons for measuring supply chain performance: Outlines the strategic importance of measurement for controlling behavior, informing decision-making, and fostering innovation.
Supply Chain Performance Metrics: Discusses the selection process of KPIs and the essential characteristics that make metrics effective for organizational decision-making.
Methods and Approaches of measuring supply chain performance: Details frameworks like the Balance Scorecard, SCOR model, Activity-Based Costing, and the Logistics Scoreboard.
Information required in measuring supply chain performance: Identifies critical data points, including operational time, costs, and technology integration, necessary for accurate performance assessment.
Drivers of the Supply Chain Performance: Explains the six core drivers—facility, inventory, transportation, information, sourcing, and pricing—that balance efficiency and responsiveness.
Conclusion: Summarizes that effective measurement is a prerequisite for management, emphasizing the need for selecting the right metrics to ensure long-term competitiveness.
Keywords
Supply Chain Performance, Performance Management, Metrics, SCOR Model, Balance Scorecard, Activity-Based Costing, Economic Value-Added, Logistics Scoreboard, Supply Chain Drivers, Information Sharing, Efficiency, Responsiveness, Benchmarking, Key Performance Indicators, Supply Chain Inflexibility
Frequently Asked Questions
What is the core focus of this publication?
The work focuses on the multifaceted approach to measuring and managing supply chain performance to ensure business success and competitive growth.
Which fundamental areas constitute the main themes?
Central themes include the definition of supply chain performance, the strategic use of metrics, established measurement frameworks, and the identification of operational drivers.
What is the primary goal of this research?
The primary goal is to provide a comprehensive guide on why and how supply chains should be measured to bridge the gap between efficiency and responsiveness.
Which scientific methodologies are introduced to assess performance?
The text introduces several proven methodologies, specifically the SCOR model, the Balance Scorecard, Activity-Based Costing, and the Logistics Scoreboard.
What aspects are covered in the main part of the document?
The main part covers the attributes of good metrics, data requirements for measurement, the six drivers of supply chain performance, and common challenges like information silos.
Which keywords best characterize this work?
Key terms include performance metrics, supply chain drivers, SCOR model, Balance Scorecard, operational efficiency, and cross-company integration.
How does the SCOR model specifically contribute to supply chain performance?
The SCOR model helps companies evaluate performance through five key aspects: reliability, responsiveness, agility, cost, and assets.
Why is communication considered the most significant challenge in performance measurement?
Communication is vital because it establishes trust and ensures that all stakeholders speak a common professional language, which is necessary to overcome barriers during implementation.
- Arbeit zitieren
- Timothy Nduru (Autor:in), 2023, Supply Chain Performance and Supply Chain Performance Management, München, GRIN Verlag, https://www.grin.com/document/1420173
