A formal mapping of static information models into dynamic models for process planning and control purposes

2003 ◽  
Author(s):  
P. Falkman ◽  
J. Nielsen ◽  
B. Lennartson
Keyword(s):  
Process Planning ◽  
Dynamic Models ◽  
Planning And Control ◽  
Information Models ◽  
Static Information ◽  
And Control ◽  
Formal Mapping

Management Process: Planning and Control

1981 ◽  
Vol 107 (4) ◽  
pp. 269-279
Author(s):  
Alexander F. Dinsmore ◽  
David Burgoine
Keyword(s):  
Process Planning ◽  
Management Process ◽  
Planning And Control ◽  
And Control

A method for remanufacturing process planning and control using loosely coupled systems

2021 ◽  
pp. 1-53
Author(s):  
Koji Kimita ◽  
Johannes Matschewsky ◽  
Tomohiko Sakao
Keyword(s):  
Process Planning ◽  
Coupled Systems ◽  
Loosely Coupled Systems ◽  
Loosely Coupled ◽  
Planning And Control ◽  
Design Structure ◽  
Crucial Component ◽  
Preliminary Validation ◽  
Functional Teams ◽  
And Control

Abstract Remanufacturing is a crucial component for our societies to move toward a circular economy. Compared to new manufacturing, the distinctive nature of remanufacturing is found to have high variability, high uncertainty and, thereby, complexity. Therefore, remanufacturers need to be able to adapt to the complexity and to flexibly adjust their processes. Especially, the ability to remanufacturing process planning and control is important. However, few practical methods supporting that are available so far. Therefore, this paper aims to propose a method for designing teams and processes in remanufacturing based on the concept of loosely coupled systems. In the proposed method, Design Structure Matrix (DSM) is applied to identify loosely coupled sub-systems that enable to localize impacts of changes within themselves. These sub-systems are also regarded as cross-functional teams that reduce coordination efforts among line departments and therefore increase the adaptability against uncertainties. As a preliminary validation, the proposed method was applied to a real case of remanufacturing, and then found to be effective for creating teams and processes for remanufacturing process planning and control depending on given uncertainties.

Robotic fibre placement process planning and control

2000 ◽  
Vol 20 (4) ◽  
pp. 313-320 ◽  
Author(s):  
Bijan Shirinzadeh ◽  
Chee Wei Foong ◽  
Boon Hui Tan
Keyword(s):  
Process Planning ◽  
Planning And Control ◽  
And Control

Generation of STEP AP214 Models From Discrete Event Systems for Process Planning and Control

2008 ◽  
Vol 5 (1) ◽  
pp. 113-126 ◽  
Author(s):  
Petter Falkman ◽  
Johan Nielsen ◽  
Bengt Lennartson ◽  
Astrid von Euler-Chelpin
Keyword(s):  
Process Planning ◽  
Discrete Event Systems ◽  
Discrete Event ◽  
Planning And Control ◽  
Event Systems ◽  
And Control

Function-Block Enabled Job Shop Planning and Control With Uncertainty

2004 ◽  
Author(s):  
Lihui Wang ◽  
Zhenkai Liu ◽  
Weiming Shen ◽  
Sherman Lang
Keyword(s):  
Process Planning ◽  
Job Shop ◽  
Function Block ◽  
Planning And Control ◽  
Planning Approach ◽  
Job Shop Operations ◽  
Batch Sizes ◽  
Distributed Process ◽  
Generate Process ◽  
And Control

The objective of this research is to develop a methodology of distributed process planning and its execution control for job shop operations. The manufacturing processes of job shop operations are rather complex, especially at shop floors where highly mixed products in small batch sizes are handled simultaneously. In addition to the fluctuating job shop operations, unpredictable events like job delay, urgent job insertion, fixture shortage, missing tool, and even machine break-down, are regularly challenging the job shop operations. Targeting the fluctuations, this research proposes a DPP (distributed process planning) approach to generate process plans that are responsive and adaptive to the changes. In this paper, a function block enabled approach is introduced. It is expected that the new approach can largely enhance the dynamism of fluctuating job shop operations.

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