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논문 기본 정보

자료유형
학술저널
저자정보
저널정보
한국유통과학회 유통과학연구 유통과학연구 제13권 제11호
발행연도
2015.1
수록면
123 - 130 (8page)

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Purpose – Due to highly elevated levels of competition, many companies today have to face the problem of decreasing profits even when their actual sales volume is increasing. This is a common phenomenon that is seen occurring among companies that focus heavily on quantitative growth rather than qualitative growth. These two aspects of growth should be well balanced for a company to create a sustainable business model. For supply chain management (SCM) planners, the optimized, quantified flow of resources used to be of major interest for decades. However, this trend is rapidly changing so that managers can put the appropriate balance between sales volume and sales quality, which can be evaluated from the profit margin. Profit optimization is a methodology for companies to use to achieve solutions focused more on profitability than sales volume. In this study, we attempt to provide executional insight for companies considering implementation of the profit optimization system to enhance their business profitability. Research design, data, and methodology – In this study, we present a comprehensive explanation of the subject of profit optimization, including the fundamental concepts, the most common profit optimization logic algorithm –linear programming –the business functional scope of the profit optimization system, major key success factors for implementing the profit optimization system at a business organization, and weekly level detailed business processes to actively manage effective system performance in achieving the goals of the system. Additionally, for the purpose of providing more realistic and practical information, wecarefully investigate a profit optimization system implementation case study project fulfilled for company S. The project duration was about eight months, with four full-time system development consultants deployed for the period. To guarantee the project’s success, the organization adopted a proven system implementation methodology, supply chain management (SCM) six-sigma. SCM six-sigma was originally developed by a group of talented consultants within Samsung SDS through focused efforts and investment in synthesizing SCM and six-sigma to improve and innovate their SCM operations across the entire Samsung Organization. Results – Profit optimization can enable a company to create sales and production plans focused on more profitable products and customers, resulting in sustainable growth. In this study, we explain the concept of profit optimization and prerequisites for successful implementation of the system. Furthermore, the efficient way of system security administration, one of the hottest topics today, is also addressed. Conclusion – This case study can benefit numerous companies that are eagerly searching for ways to break-through current profitability levels. We cannot guarantee that the decision to deploy the profit optimization system will bring success, but we can guarantee that with the help of our study, companies trying to implement profit optimization systems can minimize various possible risks across various system implementation phases. The actual system implementation case of the profit optimization project at company S introduced here can provide valuable lessons for both business organizations and research communities.
#Business Sustainability #System Integration #Enhanced System Security #Distribution Science #Six-Sigma #Distribution Science

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참고문헌 (4)

참고문헌 신청
Huh, Seong-Haing / 2007 / Real-time profit simulation system for rapid decision making / Conference Proceeding of i2 Planet 2007 google schola Immelt, J. R. / 2006 / Growth as a process : An interview with Jeffrey Immelt / Harvard Business Review 84 (6) : 1 ~ 11 google schola Yang, Hong-Mo / 2007 / Supply chain management six sigma: a management innovation methodology at the Samsung Group / Supply Chain Management : An International Journal 12 (2) google schola 박형진 / 2006 / SCM과 6 Sigma를 결합한 혁신 방법론 개발 / 대한산업공학회지 32 (4) : 323 ~ 337 google schola

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