Dynamic programming for services scheduling with start time constraints in distributed collaborative manufacturing systems

2012 ◽  
Author(s):  
Zhicheng Cai ◽  
Xiaoping Li ◽  
Long Chen
Keyword(s):  
Dynamic Programming ◽  
Manufacturing Systems ◽  
Time Constraints ◽  
Start Time ◽  
Collaborative Manufacturing

scholarly journals Robust scheduling and dispatching rules for high-mix collaborative manufacturing systems

2021 ◽  
Author(s):  
Andrea Maria Zanchettin
Keyword(s):  
Manufacturing Systems ◽  
Production Systems ◽  
Adaptive Scheduling ◽  
Dispatching Rules ◽  
Numerical Verification ◽  
Robust Scheduling ◽  
Collaborative Manufacturing ◽  
Processing Times ◽  
Increasing Demand ◽  
Variable Production

AbstractMotivated by the increasing demand of mass customisation in production systems, this paper proposes a robust and adaptive scheduling and dispatching method for high-mix human-robot collaborative manufacturing facilities. Scheduling and dispatching rules are derived to optimally track the desired production within the mix, while handling uncertainty in job processing times. The sequencing policy is dynamically adjusted by online forecasting the throughput of the facility as a function of the scheduling and dispatching rules. Numerical verification experiments confirm the possibility to accurately track highly variable production requests, despite the uncertainty of the system.

P-Time Petri Nets for Manufacturing Systems with Staying Time Constraints

1997 ◽  
Vol 30 (6) ◽  
pp. 1487-1492 ◽  
Author(s):  
Soizick Calvez ◽  
Pascal Aygalinc ◽  
Wael Khansa
Keyword(s):  
Petri Nets ◽  
Manufacturing Systems ◽  
Time Constraints ◽  
Time Petri Nets ◽  
Staying Time

Macro-programmable reconfigurable stream processor for collaborative manufacturing systems

2008 ◽  
Vol 19 (6) ◽  
pp. 723-734
Author(s):  
Valeri Kirischian ◽  
Vadim Geurkov ◽  
Pill Woo Chun ◽  
Lev Kirischian
Keyword(s):  
Manufacturing Systems ◽  
Stream Processor ◽  
Collaborative Manufacturing

Smoothing Disturbances in Manufacturing Systems with Shelf Time Constraints

1997 ◽  
Vol 30 (19) ◽  
pp. 43-48
Author(s):  
Pascal Aygalinc ◽  
Soizick Calvez ◽  
Simon Collart-Dutilleul ◽  
Wael Khansa
Keyword(s):  
Manufacturing Systems ◽  
Time Constraints

scholarly journals Fuzzy Filtering of Sensors Signals in Manufacturing Systems with Time Constraints

2010 ◽  
Vol 5 (3) ◽  
pp. 362 ◽  
Author(s):  
Anis M’halla ◽  
Nabil Jerbi ◽  
Simon Collart Dutilleul ◽  
Etienne Craye ◽  
Mohamed Benrejeb
Keyword(s):  
Fuzzy Systems ◽  
Manufacturing Systems ◽  
Knowledge Integration ◽  
Expert Knowledge ◽  
Time Constraints ◽  
Quality And Safety ◽  
Job Shops ◽  
New Approach ◽  
Robustness Property ◽  
Filtering Approach

The presented work is dedicated to the supervision of manufacturing job-shops with time constraints. Such systems have a robustness property towards time disturbances. The main contribution of this paper is a fuzzy filtering approach of sensors signals integrating the robustness values. This new approach integrates a classic filtering mechanism of sensors signals and fuzzy logic techniques. The strengths of these both techniques are taken advantage of the avoidance of control freezing and the capability of fuzzy systems to deal with imprecise information by using fuzzy rules. Finally, to demonstrate the effectiveness and accuracy of this new approach, an example is depicted. The results show that the fuzzy approach allows keeping on producing, but in a degraded mode, while providing the guarantees of quality and safety based on expert knowledge integration.

Blockchain Governance for Collaborative Manufacturing

2020 ◽  
pp. 193-225
Author(s):  
Marty Kelley
Keyword(s):  
Information And Communication Technologies ◽  
Value Chain ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Communication Technologies ◽  
Tight Coupling ◽  
Collaborative Manufacturing ◽  
Information And Communication ◽  
Coordination And Collaboration

The manufacturing industry is rapidly changing due to widespread adoption of information and communication technologies. This new landscape, described as the fourth industrial revolution, will be characterized by highly complex and interdependent systems. One particular aspect of this shift is horizontal integration, or the tight coupling of firms within a value chain. Highly interconnected and interdependent manufacturing systems will encounter new challenges associated with coordination and collaboration, specifically with regards to trust. This purpose of this chapter is to explore the potential of blockchain to address these challenges. Survey data collected from manufacturing professionals suggests that the perceived nature of trust and resource value can be bounded and controlled. Concepts from game theory, systems theory, and organizational economics are used to augment this research data and inform a collaborative manufacturing blockchain model and architecture.

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