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    Manajemen Kualitas dan Resiko  TRI RAHAYU HANDAYANI 1306481921

    Quality revolution: leading the innovation and competitive advantages

    M.A. Berawi (Civil Engineering and Construction Management Department, Oxford Brookes University, Oxford, UK)

    Knowledge management (KM) addresses the critical issues of organizational adaptation,

    survival and competence in a rapidly evolving environment. KM embodies organizational

     processes that seek a synergistic combination of the data and information processing

    capabilities of information and communication technologies (ICT), and the creative andinnovative capacity of human beings to improve ICT. In that role, knowledge management

    has the capacity to improve quality management and avoid or minimize losses and

    weaknesses that result from poor performance as well as increase the competitive level of the

    company and inability to maximize its survival potential in the global marketplace. To

    achieve quality, all parties including the clients, company consultants, contractors,

    entrepreneurs, suppliers, and governing bodies (i.e. all involved stakeholders) must encourage

    collaboration and commitment to quality. Design‐ based organizations have to be quality

    driven to support healthy growth in today's competitive market. In the march towards

    globalization (i.e. the one world community) as well as local industries comprising many

    companies, their design‐ based organizations need to have superior quality management and

    knowledge management capabilities to anticipate changes. Intelligence and knowledge is a

    form of strategic capital, which can be cultivated, created, stored, managed, retrieved and

    measured to give competitive advantage. To anticipate the needs of the marketplace, a new

    system that is called quality value model (QVM) is proposed. QVM is a combination of

    communication and information technologies (ICT) as well as creative and innovative

    capabilities of human beings to meet challenges and to develop high‐quality products.

    Quality is a reflection of the properties in a product that customers use to value and evaluate

    its economic worth. Furthermore, the mathematical technique within QVM calculates input‐

    factor changes within the product. This enables companies to be more responsive and aids

     prediction in respect to change and the management of decision uncertainty.

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    Manajemen Kualitas dan Resiko  TRI RAHAYU HANDAYANI 1306481921

    Six Sigma within Construction Context As a Quality Initiative,

    Performance Indicator/Improver, Management Strategy

    Muharrem Firat YilmazDept. Of Real Estate and Construction Management

    Six Sigma can provide a broader quality concept, detailed performance measurement,

    coordinated and repeatable process/performance improvement. Six Sigma became a useful

    method as a performance indicator and process improver for the companies from different

    industry. Increasing numbers of companies start to integrate the full implications of Six

    Sigma (Lloréns-Montes and Molina, 2006). Six Sigma is a quality improvement technique

     based on statistics, was used firstly by Motorola in the 1980s. It helps to decrease costs,

    increase quality by improving process and reduce the production time (Lloréns-Montes and

    Molina, 2006). Six Sigma has statistical and business perspectives and its applications are

    improved by Six Sigma Academy (Lloréns-Montes and Molina, 2006).

    Process improvement methods under Total Quality Management includes (Stewart and

    Spencer, 2006):

    • Process Cost Model 

    • Standardized Process Improvement for Construction Enterprises (SPICE)

    • The Balanced Scorecard 

    • Kaizen 

    • Statistical Process Control 

    Six Sigma has two key methods (Kwak and Anbari, 2006):

    • DMAIC process (Define, measure, analyze, improve, control).

    • DFSS methodology (Design for Six Sigma)

    Bechtel Corporation has deployed and implemented Six Sigma with $30million investment

    and made $200million savings until 2002 (Eckhouse, 2003). Six Sigma has been used as an

    identifier and preventer of defects in construction projects starting from design to handover

     phases by Bechtel Project Teams (Kwak and Anbari, 2006).

    An ideal process/performance improvement method should have different outputs based on

    financial, technical and quality aspects:

    • Financial aspect: an ideal process improvement method should decrease the cost and

    increase efficiency.

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    Manajemen Kualitas dan Resiko  TRI RAHAYU HANDAYANI 1306481921

    • Technical aspect: an ideal process improvement method may lead to more effective

    researches on engineering issues.

    • Quality aspect: an ideal process improvement should make final product better and satisfy

    the customer expectations.

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    Manajemen Kualitas dan Resiko  TRI RAHAYU HANDAYANI 1306481921

    Using lean manufacturing as service quality benchmark evaluation

    measure

    Abdelhakim Abdelhadi( Prince Sultan University Riyadh Saudi Arabia )

    International Journal of Lean Six Sigma, Vol. 7 Iss: 1, pp.

    A lean manufacturing metric called Takt time is used as a benchmark evaluation measure to

    evaluate service quality at fast-food restaurants. The metric is applied to find the relative

    efficiency between three fast food restaurants belonging to different chains. The outcome will

    help guide management through ways to improve customer services and increase

     performance.

    The customer lead time (the time taken by a customer from arrival at the service queue until

    their order is fulfilled) is the focus of this study. Takt time is used to find the relative

    efficiency of service time between three fast food restaurants.

    It is shown that Takt time can be used effectively to measure the level of efficiency of the

    services provided. It measures the relative efficiency and identifies bottlenecks among

    different entities providing the same services.

    The results can be used as a guide to rank the efficiency of the length of service time ofdifferent entities by taking the whole system into consideration rather than just measuring and

    comparing the service time itself between the entities. The results show the effectiveness of

    using lean manufacturing practices in pinpointing the relative inefficiencies between different

    service provider facilities.

    This research presents a procedure to measure relative efficiency between different service

     providers to enhance their services. It can be applied to any service management systems that

    deal directly with walk-in customers.

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