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

Author(s):  
P. Falkman ◽  
J. Nielsen ◽  
B. Lennartson
1981 ◽  
Vol 107 (4) ◽  
pp. 269-279
Author(s):  
Alexander F. Dinsmore ◽  
David Burgoine

Author(s):  
Koji Kimita ◽  
Johannes Matschewsky ◽  
Tomohiko Sakao

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.


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

2008 ◽  
Vol 5 (1) ◽  
pp. 113-126 ◽  
Author(s):  
Petter Falkman ◽  
Johan Nielsen ◽  
Bengt Lennartson ◽  
Astrid von Euler-Chelpin

Author(s):  
Lihui Wang ◽  
Zhenkai Liu ◽  
Weiming Shen ◽  
Sherman Lang

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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