Eco-Problem Solving for the Adaptive Control of Production Systems: The Casper Project

1998 ◽  
Vol 31 (15) ◽  
pp. 607-612 ◽  
Author(s):  
C. Sohier ◽  
B. Denis ◽  
J.-J. Lesage
Author(s):  
Aleksandr Ingemansson

The paper is dedicated to the development of solutions for cutting effectiveness increase at the expense of the potentialities use of modern NC automated equipment and these solutions application for the formation of digital production systems (DPS) for machining. There are developed computation formulae allowing the definition of cutting force values during turning and mill operation aimed for technological pre-production (TP) and for the adaptive control of NC equipment in DPSs.


Author(s):  
Andzrej B. Sierota ◽  
Grzegorz Kłapyta ◽  
Jerzy Gustowski

Global economy and growing competiveness on international market require consolidated approach in the Problem Solving process, that cover a variety of issues and functions in social life and economy; also in vocational education and industrial training [1]. The paper outlines a concept of Competence Based Problem Solving Training Protocol for modular mechatronic training by DATAMAS, developed to upgrade mechatronic competence of staff performing maintenance and repair jobs in automated plants in Poland. The concept presumes, that to achieve the very best training outcomes resulting in fast and effective diagnose and solving field problems, it is necessary to better adjust specialized training curricula and procedures to the problem of staff intellectual potential and capability. Such approach is reflected in the process of delivering DATAMAS training modules, flexible and adaptable to different production systems and conditions thus, able to effectively upgrade the maintenance staff competences and solve a variety of functional and other problems. Due to their didactic content combining knowledge and hard skills acquisition as well as soft skills, behaviors and attitudes advancement, the modules are the base training material, modified and applied for a variety of customized, on demand training courses “on the shop-floor”. They exercise how to more effectively solve real field problems by engaging trainees to some creative activity and emotional involvement. The modules are equipped with DATAMAS Training Protocol which provides methodological and organizational frame for the company’s trainers. DATAMAS Training Protocol was designed to follow the SSM approach [2]. The Protocol is mapping many functional features and training procedures that follow technical program saturated with the ongoing “mind storm” animation and argumentation. Since the DATAMAS Training Protocol concept has been under continuing scrutiny, only some limited data on its application are available. The paper outlines the concept, discus the problem solving cycle applied and explains some features of the Protocol. Problem solving cycle proposed by DATAMAS is outlined in Annex A, while a section of DATAMAS Training Protocol is shown in Annex B.


2018 ◽  
Vol 22 ◽  
pp. 91-106 ◽  
Author(s):  
Fazel Ansari ◽  
Marjan Khobreh ◽  
Ulrich Seidenberg ◽  
Wilfried Sihn

Author(s):  
A. Ingemansson

The ability of adaptive control of stability of machined parts surface integrity deformed condition and stability of working performance of cutting instruments in digital production systems is justified.


1996 ◽  
Vol 76 (4) ◽  
pp. 611-617 ◽  
Author(s):  
Brian Robinson

Expert systems (ES) technology has many existing and potential uses as input into the agricultural production process. ES are simply computer programs that attempt to emulate human expertise for problem solving purposes. This technology is well suited to agricultural problem solving because of its ability to encode existing knowledge within specific application areas and then apply this knowledge within the problem solving process. ES effectively leverage management's input into agricultural production systems by allowing for the assimilation of all available knowledge pertinent to the task at hand. There are many types of agricultural ES and these can generally be categorized into: Crop Management Advisors, Livestock Management Advisors, Planning Systems, Pest Management Sytems, Diagnostic Systems, Conser-vation/Engineering Systems, Process Control Systems and Marketing Advisory Systems. The cost of ES development can be high. Potential projects, therefore, should be subjected to a benefit/cost analysis to ensure that development efforts are well targeted. ES development and agricultural research are complementary processes and should become more coordinated within an integrated knowledge production and implementation cycle. Key words: Expert systems, knowledge, management, agriculture, research


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