Multi-agent based real-time production scheduling method for radio frequency identification enabled ubiquitous shopfloor environment

2014 ◽  
Vol 76 ◽  
pp. 89-97 ◽  
Author(s):  
Yingfeng Zhang ◽  
George Q. Huang ◽  
Shudong Sun ◽  
Teng Yang
2018 ◽  
Vol 31 ◽  
pp. 11018
Author(s):  
Galih Driandanu ◽  
Bayu Surarso ◽  
Suryono

A radio frequency identification (RFID) has obtained increasing attention with the emergence of various applications. This study aims to examine the implementation of rule based expert system supported by RFID technology into a monitoring information system of drug supply in a hospital. This research facilitates in monitoring the real time drug supply by using data sample from the hospital pharmacy. This system able to identify and count the number of drug and provide warning and report in real time. the conclusion is the rule based expert system and RFID technology can facilitate the performance in monitoring the drug supply quickly and precisely.


2020 ◽  
Vol 1 (1) ◽  
pp. 285-292
Author(s):  
Arief Andarwan

ABSTRAK Proses pengangkutan dan pencampuran batubara di PT Adaro Indonesia terbilang cukup unik, menggunakan sistem ‘blending berjalan”, proses pencampuran dilakukan dengan mengatur waktu kedatangan alat pengangkut batubara di terminal fasiltas pemrosesan batubara dan pengisian tongkang agar tiba sesuai dengan waktu yang direncanakan. Untuk menunjang proses optimasi agar menghasilkan kualitas pencampuran yang on spec dan on time dibutuhkan sistem monitoring material, method dan machine yang mumpuni. Teknologi Radio Frequency Identification (RFID) dipilih karena mampu menghasilkan komunikasi data yang cepat. Komponen utama RFID adalah alat pembaca (reader) dan alat penanda (tagger). Alat pembaca dirakit secara elektronik dan beroperasi dengan memanfaatkan sumber energi panas matahari konversi dari solar cell dan ditempatkan di setiap titik strategis di jalur pengangkutan. Alat tagger ditempatkan pada semua alat pengangkut batubara (trailer). Sistem software dan database dibuat secara lokal dan terintegrasi ke pusat database yang terhubung melalui topologi jaringan. Semua transaksi kegiatan pengangkutan mulai dari alat angkut dalam  posisi kosong, pengisian, penimbangan sampai penumpahan atau penumpukan diproses secara online dan real time. Sistem ini juga diintegrasikan dengan aplikasi tracking monitoring yang dibuat dan dikembangkan untuk pemantauan data secara real time oleh semua pihak yang terlibat dalam rantai pasok operasional pengangkutan dan pencampuran batubara.Implementasi integrasi teknologi yang disusun berdasarkan analisa kebutuhan bisnis proses ini memberikan dampak langsung dan tidak langsung. Secara biaya pengadaan dan perawatan, tools ini lebih murah dari produk pasaran yang ditawarkan. Dari segi kualitas menghasilkan peningkatan presisi pencampuran. Sisi operasional juga memberikan penghematan dari proses kerja yang efisien dengan peningkatan produktivitas alat angkut. Tindakan perbaikan yang berkelanjutan dan tepat sasaran dari aktivitas pengangkutan dan pencampuran juga dapat dilakukan karena data evaluasi yang dihasilkan dari integrasi teknologi ini valid dan dapat diandalkan. Kata Kunci : RFID, Coal Hauling, Coal Blending, Hauling Tracking System  ABSTRACT Coal hauling and mixing in PT Adaro Indonesia is fairly unique, using an “on the way mixing” system, the mixing process is operated by setting the arrival time of the coal truck at coal processing and barge loading terminal facility so that truck arrived according to planned time. In order to support the optimization process to produce optimum quality mixing that is on spec and on time, require capable monitoring system of material, method and machine. Radio Frequency Identification (RFID) technology was chosen because it is able to produce fast data communications. The main components of RFID are reader and tagger. The reader is electronically assembled and operated by using thermal energy conversion from solar cell which placed at each strategic point along hauling road. The tagger is placed on every coal truck (trailer). The software and database system is created locally and integrated into central database that connected through network topology. All transaction from hauling activity starting from the trucks at empty position, loading, passing, weighing until dumping are processed online and real time. This system also integrated with tracking monitoring application that is established and developed for real time monitoring by all parties involved in coal supply chain. The implementation of this technology integration that based on business needs analysis has direct and indirect impact. In terms of investment and maintenance costs, these tools are cheaper than commonly product offered in industrial market. From quality aspect results, it gives enhancement of mixing precision. The operational side also provides saving from efficient working process by increasing truck productivity. Continuous and accurate corrective action from coal hauling and blending operation can also be done because data evaluation that generated from this integrated technology are valid and reliable. Keyword: RFID, Coal Hauling, Coal Blending, Hauling Tracking System


Author(s):  
CKM Lee ◽  
Ng Wenwei Benjamin ◽  
Shaligram Pokharel

Demand uncertainty leads to fluctuations in inventory position at each echelon of a supply chain causing bullwhip effect, which can lead to significant cost and loss of efficiency and waste of resources. One of the aspects that can reduce potential bullwhip effect is the sharing of real time information for which the recently mass produced Radio Frequency Identification (RFID) can be of great value. The use of RFID technology can also help in increasing the visibility of the flow of goods and material, keeping track of the location and quantity at each distribution centre and warehouses. This will also help in the periodic and near real time optimization of inventory level of goods and material. The data collected with RFID can be analysed in artificial Neural Network (NN) to forecast the future demand. In this chapter, a framework is proposed by combining RFID with artificial neural network so that lean logistics can be realized in the supply chain.


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