scholarly journals Design of Manufacturing Lines Using the Reconfigurability Principle

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1227
Author(s):  
Vladimír Vavrík ◽  
Milan Gregor ◽  
Patrik Grznár ◽  
Štefan Mozol ◽  
Marek Schickerle ◽  
...  

Nowadays, many factories face changes on the global market and manufacturing is unpredictable. This fact creates a demand for developing new concepts of the factory which can represent a solution to these changes. This study presents a way for designing these new factory concepts, particularly a concept of the reconfigurable manufacturing lines. The methodology in this study uses characteristics of reconfigurable manufacturing systems for developing an algorithm for designing the basic factory layout. The methodology also combines classical math operations for designing the production layout with such approaches as simulation, cluster analysis, and LCS algorithm. This combination method with LCS algorithm and an entirely different approach to the design of the manufacturing line, has not yet been used. The accuracy of this methodology is then verified through the results of the complete algorithm containing these features. The main purpose of this study was to find new approaches to designing the reconfigurable factory layout. This article is presenting new ways that differ from the classical design method. The article suggests the new way is possible and the new systems also need new ways for designing and planning.


Author(s):  
Farayi Musharavati ◽  
Napsiah Ismail ◽  
Abdel Majid S. Hamouda ◽  
Abdul Rahman Ramli

Proses perancangan pembuatan adalah berkaitan dengan keputusan berdasarkan pemilihan tatarajah yang optimum daripada modul proses untuk pemprosesan bahagian kerja. Untuk pembentukan semula barisan pembuatan bagi pelbagai bahagian kerja, keputusannya dipengaruhi jenis proses yang sedia ada, hubungkait jujukan pemprosesan dan juga aturan pemprosesan bahagian kerja tersebut. Keputusan proses perancangan pembuatan mungkin bercanggah, oleh itu tugasan membuat keputusan perlu mengambil kira cara setemu. Kertas kerja ini membentangkan teknik optima untuk masalah berkaitan proses perancangan pembuatan dalam rangka kerja pembuatan pembentukan semula. Proses MPP dimodelkan sebagai masalah pengoptimuman dan keadah penyelesaian yang diperolehi daripada teknik metahuristik dikenali sebagai simulasi penyepuhlindapan. Fungsi analisis bagi memodel proses perancangan pembuatan adalah berdasarkan pengetahuan mengenai proses dan sistem pembuatan serta kekangan proses. Applikasi bagi pendekatan ini ditunjukkan melalui barisan pembuatan pembentukan semula berbilang tahap siri selari. Keputusan menunjukkan penambahbaik yang signifikasi diperolehi dalam penyelesaian untuk masalah jenis ini dengan menggunakan simulasi penyepuhlindapan. Tambahan pula, teknik metaheuristik berkebolehan untuk mengenal pasti kaedah proses pembuatan yang optima berdasarkan senario pengeluaran yang diberi. Kata kunci: Metaheuristik, simulasi penyepuhlindapan, proses perancangan pembuatan, sistem pembuatan pembentukan semula, senario pembuatan Manufacturing process planning (MPP) is concerned with decisions regarding selection of an optimal configuration for processing parts. For multiparts reconfigurable manufacturing lines, such decisions are strongly influenced by the types of processes available, the relationships for sequencing the processes and the order of processing parts. Decisions may conflict, hence the decision making tasks must be carried out in a concurrent manner. This paper outlines an optimization solution technique for the MPP problem in reconfigurable manufacturing systems (RMSs). MPP is modelled in an optimization perspective and the solution methodology is provided through a metaheuristic technique known as simulated annealing. Analytical functions for modelling MPP are based on knowledge of processes available to the manufacturing system as well as processing constraints. Application of this approach is illustrated through a multistage parallel–serial reconfigurable manufacturing line. The results show that significant improvements to the solution of this type of problem can be gained through the use of simulated annealing. Moreover, the metaheuristic technique is able to identify an optimal manufacturing process plan for a given production scenario. Key words: Metaheuristics, simulated annealing, manufacturing process planning, reconfigurable manufacturing systems, production scenarios



2016 ◽  
Vol 49 ◽  
pp. 87-100 ◽  
Author(s):  
Robson Marinho da Silva ◽  
Fabrício Junqueira ◽  
Diolino J. Santos Filho ◽  
Paulo E. Miyagi


Processes ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 358 ◽  
Author(s):  
Husam Kaid ◽  
Abdulrahman Al-Ahmari ◽  
Zhiwu Li ◽  
Reggie Davidrajuh

The invention of reconfigurable manufacturing systems (RMSs) has created a challenging problem: how to quickly and effectively modify an RMS to address dynamic changes in a manufacturing system, such as processing failures and rework, machine breakdowns, addition of new machines, addition of new products, removal of old machines, and changes in processing routes induced by the competitive global market. This paper proposes a new model, the intelligent colored token Petri net (ICTPN), to simulate dynamic changes or reconfigurations of a system. The main idea is that intelligent colored tokens denote part types that represent real-time knowledge about changes and status of a system. Thus, dynamic configurations of a system can be effectively modeled. The developed ICTPN can model dynamic changes of a system in a modular manner, resulting in the development of a very compact model. In addition, when configurations appear, only the changed colored token of the part type from the current model has to be modified. Based on the resultant ICTPN model, deadlock-free, conservative, and reversible behavioral properties, among others, are guaranteed. The developed ICTPN model was tested and validated using the GPenSIM tool and compared with existing methods from the literature.



Procedia CIRP ◽  
2021 ◽  
Vol 104 ◽  
pp. 1275-1279
Author(s):  
Thomas Ditlev Brunoe ◽  
Daniel GH Soerensen ◽  
Kjeld Nielsen


2017 ◽  
Vol 42 ◽  
pp. 179-195 ◽  
Author(s):  
Ann-Louise Andersen ◽  
Thomas Ditlev Brunoe ◽  
Kjeld Nielsen ◽  
Carin Rösiö


2020 ◽  
Vol 53 (2) ◽  
pp. 10585-10590
Author(s):  
J. Tang ◽  
C. Emmanouilidis ◽  
K. Salonitis


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