Synchronization in manufacturing systems: quantification and relation to logistics performance

The term ‘synchronization’ in manufacturing refers to the provision of the right components to the subsequent production steps at the right moment in time. It is widely assumed that synchronization is beneficial to the logistics performance of manufacturing systems. However, it has been shown that synchronization phenomena can be detrimental to systems in which they emerge. To study if synchronization phenomena also occur in and affect manufacturing systems’ performance, a formal quantification and holistic understanding of the types of synchronization phenomena emerging in manufacturing are needed. This article aims to fill this research gap by developing synchronization measures for manufacturing systems, applying these measures to real-world production feedback data and utilising them to test the assumption about synchronization’s beneficial effect on logistics performance. We identify two distinct synchronization types occurring in manufacturing systems, logistics and physics synchronization, and show that they are negatively correlated. Further, we show that logistics synchronization and due date performance exhibit anti-correlation and thus question the assumption that synchronization leads to higher efficiency in manufacturing systems. This article aids production managers in designing and optimising production systems, and supports further empirical research in production planning and control and production system design.

[1]  大野 耐一,et al.  Toyota production system : beyond large-scale production , 1988 .

[2]  Amarnath Banerjee,et al.  Robust manufacturing system design using multi objective genetic algorithms, Petri nets and Bayesian uncertainty representation , 2013 .

[3]  P. Lachenbruch.  Statistical Power Analysis for the Behavioral Sciences (2nd ed.) , 1989 .

[4]  Hitoshi Takeda.  The Synchronized Production System: Going Beyond Just-In-Time Through Kaizen , 2006 .

[5]  A. Arenas,et al.  Synchronization processes in complex networks , 2006, nlin/0610057.

[6]  Yozo Fujino,et al.  Synchronization of human walking observed during lateral vibration of a congested pedestrian bridge , 1993 .

[7]  Charles H. Smith,et al.  Selecting allowance policies for improved job shop performance , 1993 .

[8]  A. Huber,et al.  Service-level performance of MRP, kanban, CONWIP and DBR due to parameter stability and environmental robustness , 2008 .

[9]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[10]  George G. Polak,et al.  Synchronization, cross-docking, and decoupling in supply chain networks , 2016 .

[11]  Y. Moreno,et al.  Epidemic outbreaks in complex heterogeneous networks , 2001, cond-mat/0107267.

[12]  D E Newl.  Pedestrian excitation of bridges , 2004 .

[13]  Judith B. Timmer,et al.  Supply chain collaboration , 2007 .

[14]  N. Nicolaou,et al.  Comment on "Performance of different synchronization measures in real data: a case study on electroencephalographic signals". , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[15]  Robert P. Davis,et al.  Synchronization of material flow to aid production planning in a job shop , 1989 .

[16]  George Chryssolouris,et al.  Chaos Theory in Production Scheduling , 2004 .

[17]  Marc-Thorsten Hütt,et al.  Topology regulates the distribution pattern of excitations in excitable dynamics on graphs. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[18]  Till Becker,et al.  A manufacturing systems network model for the evaluation of complex manufacturing systems , 2014 .

[19]  A. Winfree.  Biological rhythms and the behavior of populations of coupled oscillators. , 1967, Journal of theoretical biology.

[20]  J. Lachin.  Introduction to sample size determination and power analysis for clinical trials. , 1981, Controlled clinical trials.

[21]  S H Strogatz,et al.  Coupled oscillators and biological synchronization. , 1993, Scientific American.

[22]  Mohammad A. Hoque,et al.  Synchronization in common cycle lot size scheduling for a multi-product serial supply chain , 2006 .

[23]  Marc-Thorsten Hütt,et al.  Phase synchronization in railway timetables , 2010, ArXiv.

[24]  A. Pikovsky,et al.  Synchronization: Theory and Application , 2003 .

[25]  Kevin J. Dooley,et al.  Dynamic rules for due-date assignment , 1991 .

[26]  Katja Windt,et al.  Analyzing the Influence of Capacity Adjustments on Performance Robustness in Dynamic Job-shop Environments , 2013 .

[27]  Y. Sugimori,et al.  Toyota production system and Kanban system Materialization of just-in-time and respect-for-human system , 1977 .

[28]  M. Khouja,et al.  Synchronization in supply chains: implications for design and management , 2003, J. Oper. Res. Soc..

[29]  Subhash Wadhwa,et al.  The effect of routing flexibility on a flexible system of integrated manufacturing , 2010 .

[30]  Y. Narahari,et al.  Design of synchronized supply chains: a six sigma tolerancing approach , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[31]  Xavier Tort-Martorell,et al.  An efficient iterated local search algorithm for the total tardiness blocking flow shop problem , 2013 .

[32]  Marc-Thorsten Hütt,et al.  Organization of Excitable Dynamics in Hierarchical Biological Networks , 2008, PLoS Comput. Biol..

[33]  Eugene M. Izhikevich,et al.  Neural excitability, Spiking and bursting , 2000, Int. J. Bifurc. Chaos.

[34]  C.-J. Liao,et al.  A CASE STUDY IN A DUAL RESOURCE CONSTRAINED JOB SHOP , 1998 .

[35]  A. Edwards,et al.  Sync-how order emerges from chaos in the universe, nature, and daily life , 2005 .

[36]  Marc-Thorsten Hütt,et al.  Perspective: network-guided pattern formation of neural dynamics , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.

[37]  Damodar Y. Golhar,et al.  The just-in-time philosophy : a literature review , 1991 .

[38]  George Chryssolouris,et al.  An approach to the dynamic modelling of manufacturing systems , 1998 .

[39]  D. Kehoe,et al.  The glass pipeline: increasing supply chain synchronisation through information transparency , 2004 .

[40]  Ioannis G. Tollis,et al.  A framework and algorithms for circular drawings of graphs , 2006, J. Discrete Algorithms.

[41]  Bernd Scholz-Reiter,et al.  Phase-synchronisation in continuous flow models of production networks , 2006 .

[42]  Hu,et al.  Phase synchronization in coupled nonidentical excitable systems and array-enhanced coherence resonance , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[43]  Jürgen Kurths,et al.  Synchronization - A Universal Concept in Nonlinear Sciences , 2001, Cambridge Nonlinear Science Series.

[44]  Jan Olhager,et al.  Manufacturing networks and supply chains : An operations strategy perspective , 2003 .

[45]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[46]  Jacob Cohen,et al.  A power primer. , 1992, Psychological bulletin.

[47]  S. Strogatz.  From Kuramoto to Crawford: exploring the onset of synchronization in populations of coupled oscillators , 2000 .

[48]  Yoshiki Kuramoto,et al.  Chemical Oscillations, Waves, and Turbulence , 1984, Springer Series in Synergetics.

[49]  Des Doran,et al.  Manufacturing for synchronous supply: a case study of Ikeda Hoover Ltd , 2002 .

[50]  Till Becker,et al.  Towards Definition of Synchronization in Logistics Systems , 2014 .

[51]  David Newland,et al.  Pedestrian excitation of bridges , 2004 .

[52]  Drossel,et al.  Self-organized critical forest-fire model. , 1992, Physical review letters.

[53]  R Quian Quiroga,et al.  Performance of different synchronization measures in real data: a case study on electroencephalographic signals. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[54]  Lutz Schimansky-Geier,et al.  STOCHASTIC RESONANCE : NOISE-ENHANCED PHASE COHERENCE , 1998 .

[55]  Christer Karlsson,et al.  Total Effectiveness in a Just‐in‐Time System , 1994 .

[56]  Jessica Schulze,et al.  Balancing And Sequencing Of Assembly Lines , 2016 .

[57]  George Chryssolouris,et al.  Oscillator analogy for modelling the manufacturing systems dynamics , 2008 .

[58]  J. Holmström,et al.  Supply chain collaboration: making sense of the strategy continuum , 2005 .

[59]  Iris F. A. Vis,et al.  Synchronization in cross-docking networks: A research classification and framework , 2014, Eur. J. Oper. Res..

[60]  J. Kurths,et al.  Synchronization in Oscillatory Networks , 2007 .

[61]  Till Becker,et al.  Synchronization Measures in Job Shop Manufacturing Environments , 2013 .

[62]  Peter Nyhuis,et al.  Modelling lateness and schedule reliability: how companies can produce on time , 2014 .

[63]  Jacob Cohen.  Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.