Effective ways on how to develop best practices for visualizing supply chain dashboards kpi’s
- Authors: Mapokgole, J. , Tengen, T.B.
- Date: 2013
- Subjects: Supply chain visibility
- Type: Article
- Identifier: uj:6162 , ISBN 978-616-7695-10-5 , http://hdl.handle.net/10210/13766
- Description: The benefits of Supply Chain Visibility (SCV) have been known for over a decade. Supply Chain Visibility can be accomplished through data visualization, referred to as supply chain dashboards in this paper. Organizations have been deploying Supply Chain Visibility solutions in their environment to reduce costs and improve services but often remain dissatisfied as the existing solutions fail to deliver in today’s highly dynamic business environment. As a result Supply Chain Visibility projects to support agile supply networks are at high risk for failure. Achieving Supply Change Visibility excellence has become a major concern for supply chain leaders. Some of the major challenges faced by supply chain companies among others are: • Collapsing demand, unreliable forecasts • Increasing complexity of global sourcing and aggressive global competition leading to longer lead times and more pipeline inventory; and • The immediate need to control downstream and upstream logistics To address the above-mentioned challenges organizations need a dynamic and robust SCV framework that can enable quick response to change as well as improve and strengthen the organizational supply chain by making data readily available at a glance to all stakeholders, including the customer. The need for Supply Chain Visibility framework is especially great for manufacturing companies who are moving from a push supply chain model to a demand-driven supply chain model. This paper presents a generic concept of developing a supply chain dashboard coupled with practical case studies. The concept is developed based on a methodology for mapping, modeling, analyzing and redesigning the value chains for extended enterprise, the control and monitoring model. The supply chain dashboard supports the monitoring, analysis, control and management of the supply chain performance. It supports decision making by visually displaying in true time leading and lagging indicators in a supply chain process perspective. The dashboard offers support for three areas: monitoring, analysis and management, and it contains three indicators; performance, diagnostic and control. The supply chain dashboard concept serves as basis for a supply chain studio that will allow rapid decision making based on real-time information at an aggregate level along the entire value chain. An old management adage that say “you cannot manage what you do not measure” and “to measure is to know”.
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Ameliorating corporate performance : by designing a resilient supply chain measuring system
- Authors: Mapokgole, J. , Mbohwa, Charles
- Date: 2013
- Subjects: Supply chain management , Supply chain metrics
- Type: Article
- Identifier: uj:6158 , ISBN 978-616-7695-10-5 , http://hdl.handle.net/10210/13762
- Description: In today’s highly business competitive environment, most businesses have and continue realizing the value of investing in supply chain improvements. A good starting point of improvements can be associated with scientific analysis of their returns. For that reason, most businesses have also created metrics that document practical supply chain performance and keep track of changes overtime in order to drive their business performances and profitability. While performance measurement is critical, unfortunately most companies either measure too much or too little with regard to supply chain. Other shortcomings may include; too many metrics, isolated metrics, conflicting metrics, outdated metrics, unreliable data, lack of ownership among others. It becomes even worse when companies measure wrong things. On the other hand, companies continue to pursue supply chain metrics as a means to increase their line of sight (i.e. that which is visible to them) over areas they do not directly control but have an impact on their companies’ performance. Problems with current metrics and the need for supply chain performance measure are discussed. This paper is aimed at establishing universally effective measurement system for global supply chain. Proposed framework focuses on managing the interfacing customer and supplier relationship management processes at each link in the supply chain. A unified approach for measuring supply chain system is presented supported by real life case studies coupled with practical examples.
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Evaluating performance of production scheduling from an economic perspective
- Authors: Mapokgole, J. , Mbohwa, Charles
- Date: 2013
- Subjects: Production scheduling , Total opportunity cost
- Type: Article
- Identifier: uj:5101 , ISBN 978-3-902823-50-2 , http://hdl.handle.net/10210/13773
- Description: Production scheduling which is a part of the planning and control of production units lies at the heart of the performance of manufacturing organizations. Production scheduling determines organizational performance. The need for efficient scheduling has greatly increased in recent decades owing to market demands for product quality, flexibility and order flow times, and other measures. However, although scheduling research activities have in the same period moved from purely academic exercises to serious attempts to solve practical problems in companies, successful implementations of scheduling techniques in practice are still scarce [1-6] and less attempt on solving the same from an economic perspective. In many companies, scheduling is still a typically human domain. However, the task of scheduling production units can become very complex. Humans are not very well equipped to barely control or optimize large and complex systems without computational tools, and the relations between actions and effects are difficult to assess. This paper will focus on problems that are related to the complexity of scheduling in practice. Scheduling based on this techniqueis often changed by the scheduler due to random disruptions or are not carried out exactly as preplanned on the shop floor. Because of the complex production processes, schedules are often difficult to assess mainly in terms of production cost. This paper takes a leap approach by assessing production performance in terms of cost. A new criterion of optimality is also proposed and used. This criterion is termed “total opportunity cost” and takes into account the different single criterion in a weighed term.
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