Multi-level simulation concept for multidisciplinary analysis and optimization of production systems

2019 ◽  
Vol 103 (9-12) ◽  
pp. 3993-4012 ◽  
Author(s):  
Tim Delbrügger ◽  
Matthias Meißner ◽  
Andreas Wirtz ◽  
Dirk Biermann ◽  
Johanna Myrzik ◽  
...  
2016 ◽  
Vol 11 (1) ◽  
pp. 91-100 ◽  
Author(s):  
Gyan Bahadur Thapa ◽  
Sergei Silvestrov

The multi-level just-in-time sequencing problem is one of the challenging research areas in supply chain management. In this paper, we present brief review and some recent research developments of just-in-time production systems together with supply chain logistics. Observing production flows and supply chain synchronization in production process, we present the mathematical models of just-in-time (JIT) sequencing problem in multi-level and single-level as nonlinear integer programming in terms of discrepancy functions under the specified constraints. Discrete apportionment approach is briefly reported as an efficient frontier for single-level.  Journal of the Institute of Engineering, 2015, 11(1): 91-100


2013 ◽  
Vol 13 (2) ◽  
pp. 201 ◽  
Author(s):  
Yang Liu ◽  
Xinyao Xiang ◽  
Qinglin Cheng ◽  
Xuxu Wang ◽  
Tao Yu

1989 ◽  
Vol 27 (9) ◽  
pp. 1487-1509 ◽  
Author(s):  
JOHN MILTENBURG ◽  
GORDON SINNAMON

2006 ◽  
Vol 25 (1) ◽  
pp. 1-12
Author(s):  
Reinier de Man ◽  
Tom R. Burns

This paper outlines a multi-level approach to sustainable business development. It builds on the notion that contemporary production systems are extensive, increasingly global in their reach. National government regulation is not feasible in many cases. Attempts to nationally regulate against non-sustainable production and business practices may even result in World Trade Organization (WTO) action against improper trade barriers. And, obviously, there is no international government with proper legislative and regulatory powers. Starting with the concept of supply chain, we describe and analyze the emerging practice of forming business partnerships for sustainability. The conceptualization is illustrated with a number of current examples. Problems and potentialities are discussed briefly in a concluding discussion.


Author(s):  
Yu. V. Minaeva

Objectives The aim of the study is to develop a mathematical model for the complex solution of various problems in designing and reconstructing the technological system of a production workshop of a machine-building enterprise.Methods Complex system theory and an aggregative decomposition approach are used as the methodological basis for modelling complex hierarchical productions, making it possible to represent a complex system in the form of a set of interconnected subsystems.Results A mathematical model designed for a complex solution of problems associated with the formation of an optimal production programme and selection ofequipment was developed. Operative parameters for processing machines according to a single optimisation criterion for the workshop were established. Distinctive features of the optimisation model proposed in the article are the possibility of its application both for design and for the reconstruction of a technological system, as well as the possibility of simple scaling to the required level (i.e. the workshop as a whole or a separate section).Conclusion The article presents a complex mathematical model for optimising the technological system based on a single optimisation criterion for the workshop, combining the solution of the main tasks of design and reconstruction of the workshop. The use of a single integral optimisation criterion for several problems allows the strong interrelationships between individual tasks to be taken into account. The model is based on the principle of arranging a model from a set of typical elements, easing the construction of models for any sub-task combinations, as well as their respective options. It is possible to use the model’s multi-level unification and scalability to increase modelling efficiency and thus optimise complex multinomenclature productions.


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