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English
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2018
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Open (Access) Journal-Article
Short discharge time from hospitals increases both bed availability and patients and families satisfaction. In this study, the Six Sigma process improvement methodology was applied to reduce patients discharge time in a cancer treatment hospital. Data on the duration of all activities, from the physician signing the discharge form to the patient leaving the treatment room, were collected through patient shadowing. These data were analyzed using detailed process maps and cause-and-effect diagrams. Fragmented and unstandardized processes and procedures and a lack of communication among the stakeholders were among the leading causes of long discharge times. Categorizing patients by their needs enabled better design of the discharge processes. Discrete event simulation was utilized as a decision support tool to test the effect of the improvements under different scenarios. Simplified and standardized processes, improved communications, and system-wide management are among the proposed improvements, which reduced patient discharge time by 54 from 216 minutes. Cultivating the necessary ownership through stakeholder analysis is an essential ingredient of sustainable improvement efforts.
- Subjects:
- Health Sciences and Management
- Keywords:
- Hospitals -- Administration Process control Six sigma (Quality control stard)
- Resource Type:
- Open (Access) Journal-Article
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Open (Access) Journal-Article
The aim of this paper is to identify the lean management and Six Sigma strategies to improve production performance in pharmaceutical companies through the ...
- Subjects:
- Management and Business Information Technology
- Keywords:
- Pharmaceutical industry -- Quality control Production management Six sigma (Quality control stard)
- Resource Type:
- Open (Access) Journal-Article
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Courseware
Do you want to enhance your business model by creating a clear focus or implement your new business model innovation into your IT? In this business and management course, we will discuss business model agility and how specific business model metrics will help you focus on the overall goals of our business. You will also learn about advanced tools to help support the bridge between business model thinking and IT implementation.
- Subjects:
- Management
- Keywords:
- Business planning Information technology -- Management Strategic planning Industrial management
- Resource Type:
- Courseware
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Courseware
While big data infiltrates all walks of life, most firms have not changed sufficiently to meet the challenges that come with it. In this course, you will learn how to develop a big data strategy, transform your business model and your organization. This course will enable professionals to take their organization and their own career to the next level, regardless of their background and position. Professionals will learn how to be in charge of big data instead of being subject to it. In particular, they will become familiar with tools to: - assess their current situation regarding potential big data-induced changes of a disruptive nature, - identify their options for successfully integrating big data in their strategy, business model and organization, or if not possible, how to exit quickly with as little loss as possible, and - strengthen their own position and that of their organization in our digitalized knowledge economy The course will build on the concepts of product life cycles, the business model canvas, organizational theory and digitalized management jobs (such as Chief Digital Officer or Chief Informatics Officer) to help you find the best way to deal with and benefit from big data induced changes. During the course, your most pressing questions will be answered in our feedback videos with the lecturer. In the assignments of the course, you will choose a sector and a stakeholder. For this, you will develop your own strategy and business model. This will help you identify the appropriate organizational structure and potential contributions and positions for yourself.
- Subjects:
- Management and Computing
- Keywords:
- Business -- Data processing Big data
- Resource Type:
- Courseware
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Open (Access) Journal-Article
This article investigates the integration of Lean and Six Sigma tools as a unified approach to continuous improvement and develops a Lean Six Sigma framework for selected automotive component manufacturing organisations in KwaZulu-Natal (KZN), South Africa.
- Subjects:
- Management and Business Information Technology
- Keywords:
- Production management Automobile supplies industry Six sigma (Quality control stard)
- Resource Type:
- Open (Access) Journal-Article