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VALUE MAPPING FRAMEWORK INVOLVING STAKEHOLDERS FOR SUPPLY CHAIN IMPROVEMENT WHEN IMPLEMENTING INFORMATION TECHNOLOGY PROJECTS
Title
VALUE MAPPING FRAMEWORK INVOLVING STAKEHOLDERS FOR SUPPLY CHAIN IMPROVEMENT WHEN IMPLEMENTING INFORMATION TECHNOLOGY PROJECTS.
Creator
Moore, Karla, Rabelo, Luis, University of Central Florida
Abstract / Description
Successful Supply Chain Management (SCM) depends on how well an organization performs internal and external communications with trading partners, executes the logistics component, and understands/monitors related costs of conducting its business. The use of information technology (IT) is considered a prerequisite for the effective control of today's complex supply chains. Increased communication technology has redefined how businesses work together, raised customer expectations, and...
Show moreSuccessful Supply Chain Management (SCM) depends on how well an organization performs internal and external communications with trading partners, executes the logistics component, and understands/monitors related costs of conducting its business. The use of information technology (IT) is considered a prerequisite for the effective control of today's complex supply chains. Increased communication technology has redefined how businesses work together, raised customer expectations, and placed new demands on supply chain performance. IT components with proven and rapid return-on-investment are favored to support critical supply chain processes such as leaner manufacturing processes, consumer-driven supply chains, and customer responsiveness. The use of IT in the digital era has become critical and it is treated as a major competitive tool for success. Complex and comprehensive IT infrastructures support the firm's communications network, databases, and operating systems. Information technology facilitates the creation of value. However, the creation of value is defined by the different groups of stakeholders. Therefore, stakeholders must be integrated into this process of change management that uses IT as the enabler. Supply chains are due to change when higher levels of performance and/or adaptation are required as mandated by changes in the business structure and/or benchmarking and/or regulations. One of the major problems for any supply chain executive is to understand and manage these changes. These changes usually require the implementation of an IT project. Therefore, the successful design, execution, and completion of these IT projects are important for the supply chain. SCM is now a strategic function addressed at the highest levels of the organization in concert with multiple stakeholders on both the supplier and customer side of the table. The aim of this dissertation is to develop a value mapping framework involving stakeholders to improve supply chain performance when implementing IT projects. The framework has components that help define the supply chain, measure the size of the issues, identify necessary changes in the metrics to improve performance, measure the organizational consequences of these changes, and develop and follow a plan to implement IT projects to achieve the new goals of performance. Through this new framework, these IT projects will be able to bring the supply chain from a current state "As is" to a future state "To be"; capturing the existing and desired states of the proposed changes which are aligned with the objectives and goals of the organization. Therefore, the IT project can be designed, executed, and completed. One unique component of this framework is the inclusion of the stakeholders at different stages. This framework identifies the group of stakeholders to be taken into consideration in order to define the future "To be" state. In addition, the framework identifies the value creation of the "To be" system as seen by the stakeholders.
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Date Issued
2008
Identifier
CFE0002108, ucf:47541
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0002108
Integrating Multiobjective Optimization with the Six Sigma Methodology for Online Process Control
Title
Integrating Multiobjective Optimization with the Six Sigma Methodology for Online Process Control.
Creator
Abualsauod, Emad, Geiger, Christopher, Elshennawy, Ahmad, Thompson, William, Moore, Karla, University of Central Florida
Abstract / Description
Over the past two decades, the Define-Measure-Analyze-Improve-Control (DMAIC) framework of the Six Sigma methodology and a host of statistical tools have been brought to bear on process improvement efforts in today's businesses. However, a major challenge of implementing the Six Sigma methodology is maintaining the process improvements and providing real-time performance feedback and control after solutions are implemented, especially in the presence of multiple process performance objectives...
Show moreOver the past two decades, the Define-Measure-Analyze-Improve-Control (DMAIC) framework of the Six Sigma methodology and a host of statistical tools have been brought to bear on process improvement efforts in today's businesses. However, a major challenge of implementing the Six Sigma methodology is maintaining the process improvements and providing real-time performance feedback and control after solutions are implemented, especially in the presence of multiple process performance objectives. The consideration of a multiplicity of objectives in business and process improvement is commonplace and, quite frankly, necessary. However, balancing the collection of objectives is challenging as the objectives are inextricably linked, and, oftentimes, in conflict.Previous studies have reported varied success in enhancing the Six Sigma methodology by integrating optimization methods in order to reduce variability. These studies focus these enhancements primarily within the Improve phase of the Six Sigma methodology, optimizing a single objective. The current research and practice of using the Six Sigma methodology and optimization methods do little to address the real-time feedback and control for online process control in the case of multiple objectives.This research proposes an innovative integrated Six Sigma multiobjective optimization (SSMO) approach for online process control. It integrates the Six Sigma DMAIC framework with a nature-inspired optimization procedure that iteratively perturbs a set of decision variables providing feedback to the online process, eventually converging to a set of tradeoff process configurations that improves and maintains process stability. For proof of concept, the approach is applied to a general business process model (-) a well-known inventory management model (-) that is formally defined and specifies various process costs as objective functions. The proposed SSMO approach and the business process model are programmed and incorporated into a software platform. Computational experiments are performed using both three sigma (3?)-based and six sigma (6?)-based process control, and the results reveal that the proposed SSMO approach performs far better than the traditional approaches in improving the stability of the process. This research investigation shows that the benefits of enhancing the Six Sigma method for multiobjective optimization and for online process control are immense.
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Date Issued
2013
Identifier
CFE0004968, ucf:49561
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0004968