Benefits of connecting rfid and lean principles in health care

The performance management process in health care is far behind compared to the manufacturing and service industries. Although nowadays the health care organizations are able to deal with a greater rank diseases, their cost, quality and delivery has essentially not improved significantly, and the difference with the other industries even seems to have increased. As opposed to this situation health care has a tremendous opportunity to deploy lean principles to reduce internal/external costs, improve patient safety, increase profits, reduce litigation and decrease the dependence on Government and Insurance. The application of these principles is being facilitated by the use of the new technologies. A new technology allowing personnel to constantly "see" what's happening with regards to patients schedule, backlog, workflow, inventory levels, resource utilization, quality, etc., is Radio Frequency Identification (RFID). The aim of this paper is to analyse the benefits that can be derived from the joint use of lean principles and RFID technology in health care

Construction IT in 2030: a scenario planning approach

Summary: This paper presents a scenario planning effort carried out in order to identify the possible futures that construction industry and construction IT might face. The paper provides a review of previous research in the area and introduces the scenario planning approach. It then describes the adopted research methodology. The driving forces of change and main trends, issues and factors determined by focusing on factors related to society, technology, environment, economy and politics are discussed. Four future scenarios developed for the year 2030 are described. These scenarios start from the global view and present the images of the future world. They then focus on the construction industry and the ICT implications. Finally, the preferred scenario determined by the participants of a prospective workshop is presented

Reducing the delivery lead time in a food distribution SME through the implementation of six sigma methodology

Purpose – Six sigma is a systematic data driven approach to reduce the defect and improve the quality in any type of business. The purpose of this paper is to present the findings from the application of six sigma in a food service “small to medium sized enterprise” (SME) in a lean environment to reduce the waste in this field. Design/methodology/approach – A simplified version of six sigma is adopted through the application of appropriate statistical tools in order to focus on customer's requirements to identify the defect, the cause of the defect and improve the delivery process by implementing the optimum solution. Findings – The result suggests that modification in layout utilization reduced the number of causes of defect by 40 percent resulting in jumping from 1.44 sigma level to 2.09 Sigma level which is substantial improvement in SME. Research limitations/implications – Simplicity of six sigma is important to enabling any SME to identify the problem and minimize its cause through a systematic approach. Practical implications – Integrating of supply chain objectives with any quality initiatives such as lean and six sigma has a substantial effect on achieving to the targets. Originality/value – This paper represents a potential area in which six sigma methodology along side the lean management can promote supply chain management objectives for a food distribution SME

Higher capability maturity dynamics of UK construction organisations

This paper attempts to identify the dynamics of the CMM (Capability Maturity Model) higher capability maturity level characteristics within the UK construction context from a theoretical perspective. Firstly, this paper follows a literature survey and a synthesis to identify the nature of CMM higher capability maturity level dynamics and its specific attachments to the software industry. Based on this synthesis, this paper presents a model to mimic the likely higher capability maturity dynamics of the UK construction industry

BENEFITS OF CONNECTING RFID AND LEAN PRINCIPLES IN HEALTH CARE

The performance management process in health care is far behind compared to the manufacturing and service industries. Although nowadays the health care organizations are able to deal with a greater rank diseases, their cost, quality and delivery has essentially not improved significantly, and the difference with the other industries even seems to have increased. As opposed to this situation health care has a tremendous opportunity to deploy lean principles to reduce internal/external costs, improve patient safety, increase profits, reduce litigation and decrease the dependence on Government and Insurance. The application of these principles is being facilitated by the use of the new technologies. A new technology allowing personnel to constantly "see" what’s happening with regards to patients schedule, backlog, workflow, inventory levels, resource utilization, quality, etc., is Radio Frequency Identification (RFID). The aim of this paper is to analyse the benefits that can be derived from the joint use of lean principles and RFID technology in health care.

A strategy for achieving manufacturing statistical process control within a highly complex aerospace environment

This paper presents a strategy to achieve process control and overcome the previously mentioned industry constraints by changing the company focus to the process as opposed to the product. The strategy strives to achieve process control by identifying and controlling the process parameters that influence process capability followed by the implementation of a process control framework that marries statistical methods with lean business process and change management principles. The reliability of the proposed strategy is appraised using case study methodology in a state of the art manufacturing facility on Multi-axis CNC machine tools

Big Data and the Internet of Things

Advances in sensing and computing capabilities are making it possible to embed increasing computing power in small devices. This has enabled the sensing devices not just to passively capture data at very high resolution but also to take sophisticated actions in response. Combined with advances in communication, this is resulting in an ecosystem of highly interconnected devices referred to as the Internet of Things - IoT. In conjunction, the advances in machine learning have allowed building models on this ever increasing amounts of data. Consequently, devices all the way from heavy assets such as aircraft engines to wearables such as health monitors can all now not only generate massive amounts of data but can draw back on aggregate analytics to "improve" their performance over time. Big data analytics has been identified as a key enabler for the IoT. In this chapter, we discuss various avenues of the IoT where big data analytics either is already making a significant impact or is on the cusp of doing so. We also discuss social implications and areas of concern.Comment: 33 pages. draft of upcoming book chapter in Japkowicz and Stefanowski (eds.) Big Data Analysis: New algorithms for a new society, Springer Series on Studies in Big Data, to appea

Operational Excellence in Manufacturing, Service and the Oil & Gas: the Sectorial Definitional Constructs and Risk Management Implication

The current global business climate has not been favorable to most firms irrespective of industry affiliation. That condition necessitated companies to adopt operational excellence as a strategy for optimising output with little resources, reducing lead time with the efficient use of assets and employees and avoiding safety and health issues to people and the environment. As a result of the need for operational excellence, many kinds of literature defined the concept based on the context of industry or sector. Industries such as manufacturing, services, oil and gas, mining and so many industries to mention a few, have their unique construct in the definition and therefore causing dilemma on which dimension to hold on to. It is against this backdrop that this paper synthesizes and integrate all the varying dimensions and fuses out similarities, differences and the antecedence of research directions taken on the few mentioned sectors. The paper thus concludes that the unique construct among all the definitions is continuous improvement, cost reduction, quality, time utilization, operational efficiency, staff involvement and output optimisation. However, they varied on risk management, staff health, safety and the concern for the environment, which is unique to oil and gas industry and that can affect the choice of research variables

GTTC Future of Ground Testing Meta-Analysis of 20 Documents

National research, development, test, and evaluation ground testing capabilities in the United States are at risk. There is a lack of vision and consensus on what is and will be needed, contributing to a significant threat that ground test capabilities may not be able to meet the national security and industrial needs of the future. To support future decisions, the AIAA Ground Testing Technical Committees (GTTC) Future of Ground Test (FoGT) Working Group selected and reviewed 20 seminal documents related to the application and direction of ground testing. Each document was reviewed, with the content main points collected and organized into sections in the form of a gap analysis current state, future state, major challenges/gaps, and recommendations. This paper includes key findings and selected commentary by an editing team