Exploitation of Manufacturing Flexibilities in Decision Methods for Autonomous Control of Production Processes: Findings from Industrial Practice and Theoretical Analysis

The complexity of nowadays logistics processes calls for new approaches to improve the logistics performance. The recently discussed concept of autonomously controlled logistics processes promises to improve coping with the dynamics and complexity in logistics systems. Autonomous decision making of intelligent logistics objects requires decision alternatives within the processes. Manufacturing flexibility is a provider for decision alternatives as it offers multiple ways to perform a manufacturing process. A key flexibility for decision alternatives can be found in a loose allocation of products and orders during the manufacturing process. In order to gain logistic advantage by autonomous control in production, decision methods are needed capable to disclose the logistic potential of alternatives in manufacturing. This contribution presents the function of flexibility and its utilization by methods of autonomous control in production. For this purpose an analog application in industrial practice is observed to reveal insights of what autonomous control in production can look like.

[1]  Peter Nyhuis,et al.  Beiträge zu einer Theorie der Logistik , 2008 .

[2]  Thomas Jagalski,et al.  Autonomous control of production networks using a pheromone approach , 2006 .

[3]  Hoda A. ElMaraghy,et al.  Flexible and reconfigurable manufacturing systems paradigms , 2005 .

[4]  P. Atteslander Methoden Der Empirischen Sozialforschung , 1999 .

[5]  K. Windt,et al.  Understanding Autonomous Cooperation & Control in Logistics: The Impact on Management, Information, Communication and Material Flow , 2007 .

[6]  H. Simon,et al.  Models of Bounded Rationality: Empirically Grounded Economic Reason , 1997 .

[7]  Katja Windt,et al.  Autonomy in production logistics: Identification, characterisation and application , 2008 .

[8]  K. Windt,et al.  Allocation Flexibility-A New Flexibility Type as an Enabler for Autonomous Control in Production Logistics , 2008 .

[9]  Bernd Scholz-Reiter,et al.  Autonomous Control of a Shop Floor Based on Bee's Foraging Behaviour , 2007, LDIC.

[10]  Lixin Tang,et al.  A review of planning and scheduling systems and methods for integrated steel production , 2001, Eur. J. Oper. Res..

[11]  Till Becker,et al.  A classification pattern for autonomous control methods in logistics , 2010, Logist. Res..

[12]  Katja Windt,et al.  Understanding Autonomous Cooperation and Control in Logistics , 2007 .

[13]  Bernd Scholz-Reiter,et al.  Autonomously controlled production systems—Influence of autonomous control level on logistic performance , 2009 .

[14]  Michael David,et al.  Implementing the Concept of Product-Driven Control Using Wireless Sensor Networks: Some Experiments , 2008 .

[15]  Peter Nyhuis,et al.  Changeable Manufacturing - Classification, Design and Operation , 2007 .

[16]  P. Horváth,et al.  Organisationsstrukturen und Managementsysteme , 1996 .

[17]  Bernd Scholz-Reiter,et al.  A distributed routing concept for vehicle routing problems , 2009, Logist. Res..

[18]  Till Becker,et al.  Applying autonomous control methods in different logistic processes - A comparison by using an Autonomous Control Application Matrix , 2009, 2009 17th Mediterranean Conference on Control and Automation.

[19]  Katja Windt,et al.  Ermittlung des angemessenen Selbststeuerungsgrades in der Logistik — Grenzen der Selbststeuerung , 2008 .

[21]  K. Windt,et al.  Autonomous Control of Intelligent Products in Beginning of Life Processes , 2010 .

[22]  Peter Nyhuis,et al.  Fundamentals of Production Logistics: Theory, Tools and Applications , 2008 .

[23]  Till Becker,et al.  A generic implementation approach of autonomous control methods in production logistics , 2010, IEEE ICCA 2010.

[24]  K. Windt,et al.  NEW CONCEPTS OF MODELLING AND EVALUATING AUTONOMOUS LOGISTIC PROCESSES , 2004 .

[25]  K. Windt,et al.  A comparison of the logistics performance of autonomous control methods in production logistics , 2010 .

[26]  Sanjay E. Sarma,et al.  Auto ID systems and intelligent manufacturing control , 2003 .