Distributed Manufacturing Scheduling Based on a Dynamic Multi-criteria Decision Model

Distributed manufacturing scheduling is increasingly necessary in nowadays global manufacturing environments and assumes primal importance to ensure enhanced solutions for such globally distributed manufacturing scheduling problems. In this chapter an approach based on a dynamic multi-criteria decision model is proposed, which enables (re)scheduling strategies and trade-offs between different performance measures. In this dynamically changing environment, real-time changes may occur in production and there is a need for a global view and manufacturing (re)scheduling to improve the globally distributed manufacturing scenario. The approach main aim is to support scheduling decision making, namely through reliable and timely deliveries, as well as improved manufacturing management of available resources. An illustrative example, integrating a set of manufacturing cells is provided to clarify the approach.

[1]  Sanja Petrovic,et al.  SURVEY OF DYNAMIC SCHEDULING IN MANUFACTURING SYSTEMS , 2006 .

[2]  Sanjay Mehta,et al.  Predictable scheduling of a single machine subject to breakdowns , 1999, Int. J. Comput. Integr. Manuf..

[3]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[4]  F. Frank Chen,et al.  The state of the art in intelligent real-time FMS control: a comprehensive survey , 1996, J. Intell. Manuf..

[5]  Ihsan Sabuncuoglu,et al.  Analysis of reactive scheduling problems in a job shop environment , 2000, Eur. J. Oper. Res..

[6]  Reha Uzsoy,et al.  Executing production schedules in the face of uncertainties: A review and some future directions , 2005, Eur. J. Oper. Res..

[7]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[8]  Evangelos,et al.  [Applied Optimization] Multi-criteria Decision Making Methods: A Comparative Study Volume 44 || A Computational Evaluation of the Original and the Revised AHP , 2000 .

[9]  Agostino Villa,et al.  Modeling manufacturing systems , 1999 .

[10]  Maria Leonilde Rocha Varela,et al.  WEB-BASED DECISION SUPPORT SYSTEM FOR INDUSTRIAL OPERATIONS MANAGEMENT , 2010 .

[11]  Reha Uzsoy,et al.  Analysis of periodic and event-driven rescheduling policies in dynamic shops , 1992 .

[12]  Pei-Chann Chang,et al.  One-machine rescheduling heuristics with efficiency and stability as criteria , 1993, Comput. Oper. Res..

[13]  Vincent C. S. Wiers,et al.  The complexity of scheduling in practice , 1996 .

[14]  Shaofeng Liu,et al.  Decision Support Systems – Collaborative Models and Approaches in Real Environments , 2011, Lecture Notes in Business Information Processing.

[15]  I. M. Ovacikt,et al.  Rolling horizon algorithms for a single-machine dynamic scheduling problem with sequence-dependent setup times , 1994 .

[16]  Robert H. Storer,et al.  Robustness Measures and Robust Scheduling for Job Shops , 1994 .

[17]  H. Kunzi,et al.  Lectu re Notes in Economics and Mathematical Systems , 1975 .

[18]  Shian-Jong Chuu,et al.  Group decision-making model using fuzzy multiple attributes analysis for the evaluation of advanced manufacturing technology , 2009, Fuzzy Sets Syst..

[19]  Rita Almeida Ribeiro,et al.  A framework for dynamic multiple-criteria decision making , 2011, Decis. Support Syst..

[20]  Willy Herroelen,et al.  Project scheduling under uncertainty: Survey and research potentials , 2005, Eur. J. Oper. Res..

[21]  Peter Cowling,et al.  Production, Manufacturing and Logistics Using real time information for effective dynamic scheduling , 2002 .

[22]  Evangelos Triantaphyllou,et al.  Multi-criteria Decision Making Methods: A Comparative Study , 2000 .

[23]  Jeffrey W. Herrmann,et al.  Rescheduling Manufacturing Systems: A Framework of Strategies, Policies, and Methods , 2003, J. Sched..

[24]  Dipak Chaudhuri,et al.  Dynamic scheduling—a survey of research , 1993 .

[25]  Rita Almeida Ribeiro,et al.  Collaborative Dynamic Decision Making: A Case Study from B2B Supplier Selection , 2011, EWG-DSS.

[26]  Rita Almeida Ribeiro,et al.  Collaborative Network Platform for Multi-site Production , 2011, EWG-DSS.

[27]  Ihsan Sabuncuoglu,et al.  Rescheduling frequency in an FMS with uncertain processing times and unreliable machines , 1999 .

[28]  Jeffrey W. Herrmann,et al.  Analytical models to predict the performance of a single-machine system under periodic and event-driven rescheduling strategies , 2000 .

[29]  Pei-Chann Chang,et al.  A Rescheduling Procedure for Manufacturing Systems Under Random Disruptions , 1992 .