Utilization of MES System, Enablers and Disablers

Pressure from endlessly changing global markets, forces Manufacturers to continuously work to improve the quality and reduce the cost of their products and processes. Hence, to know the status of what is being produced is essential to succeed in this work. Different types of software applications are often used to collect product- and process data and provide a visualization to control the production processes. Despite advanced systems, manufacturers often experience difficulties related to information gathering, sharing and interpretation. Based on a case study of a single mass producer, this article presents experience data and illustrate possible challenges in succeeding with a MES system.

[1]  M. Patton,et al.  Qualitative evaluation and research methods , 1992 .

[2]  Katherine C. Morris,et al.  Using Graph-based Visualizations to Explore Key Performance Indicator Relationships for Manufacturing Production Systems ☆ , 2017 .

[3]  Jay Lee,et al.  A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems , 2015 .

[4]  Bjarne Bergquist,et al.  Statistical Methods – Does Anyone Really Use Them? , 2006 .

[5]  Jiju Antony,et al.  Statistical process control: an essential ingredient for improving service and manufacuring quality , 2000 .

[6]  Kesheng Wang,et al.  Towards zero-defect manufacturing (ZDM)—a data mining approach , 2013, Advances in Manufacturing.

[7]  R. Yin.  Case Study Research: Design and Methods , 1984 .

[8]  Fan Yuqing,et al.  MES development and significant applications in manufacturing -A review , 2010, 2010 2nd International Conference on Education Technology and Computer.

[9]  B. Saenz de Ugarte,et al.  Manufacturing execution system – a literature review , 2009 .

[10]  Jiju Antony,et al.  A conceptual framework for the effective implementation of statistical process control , 2003, Bus. Process. Manag. J..

[11]  J. A. Nachlas,et al.  X charts with variable sampling intervals , 1988 .

[12]  Kathleen M. Eisenhardt,et al.  Theory Building From Cases: Opportunities And Challenges , 2007 .

[13]  Edward A. Lee.  Cyber Physical Systems: Design Challenges , 2008, 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC).

[14]  Alain Bernard,et al.  Context-awareness: a key enabler for ubiquitous access to manufacturing knowledge , 2016 .

[15]  E. Westkämper,et al.  Zero-Defect Manufacturing by Means of a Learning Supervision of Process Chains , 1994 .

[16]  Tom Hänel,et al.  Limits or Integration? - Manufacturing Execution Systems and Operational Business Intelligence , 2011, AMCIS.