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PRACTICAL APPLICATION OF FUZZY LOGIC IN PRODUCTION CONTROL SYSTEMS OF ENGINEER TO ORDER SMES [PDF]
Applied Computer Science, 2021 In this paper the method of improving production control in engineer to order [ETO] small and medium sized enterprises is presented. Briefly, the strategy of Mass Customization [MC] and a concept of the hybrid MC-ETO production system are demonstrated ...
Bartosz CIESLA, Janusz MLECZKO
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Multi-agent production control integrated with ERP: A Methodology development [PDF]
مطالعات مدیریت کسب و کار هوشمند, 2023 Accelerating the agility of production control systems in today's dynamic production environment is one of the challenges that many types of research have been conducted using multi-agent systems to improve it.
Payam Faghihi, Mehrdad Kazerooni
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Алматы технологиялық университетінің хабаршысы, 2021 Improving the safety of dairy products is one of the tasks of ensuring comprehensive food safety. The analysis of water from 4 systems of centralized domestic drinking water supply was carried out in terms of quality indicators, as well as the degree of ...
M. K. Alimardanova, Zh. B. Khamzin
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Digital Twin and Reinforcement Learning-Based Resilient Production Control for Micro Smart Factory
Applied Sciences, 2021 To achieve efficient personalized production at an affordable cost, a modular manufacturing system (MMS) can be utilized. MMS enables restructuring of its configuration to accommodate product changes and is thus an efficient solution to reduce the costs ...
Kyu Tae Park +3 more
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Applied Sciences, 2022 The goal of any lean implementation in production process is achieving better production performances and one of them is productivity. Among many lean principles, pull principle is the most complex to achieve.
Nataša Tošanović, Nedeljko Štefanić
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Production and Manufacturing Research: An Open Access Journal, 2022 Numerous challenges in automotive production lead to an increased need for transparency and optimization. Real-Time-Location-Systems (RTLS) is a key tool for achieving this goal. They enable intelligent and automated production processes.
Christoph Küpper +2 more
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Proceedings of the Conference on Production Systems and Logistics, 2021 The field of machine learning (ML) is of specific interest for production companies as it displays a perspective to handle the increased complexity within their production planning and control (PPC) processes in an economic and ecologic effective as well
Kramer, Kathrin Julia +4 more
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Reactive Production Control - Information to Control a Production [PDF]
Applied Mechanics and Materials, 2017 Sustainable protection and expansion of the competitiveness of the industrial location Germany is an important topic of current research. How can manufacturing companies in high wage countries counter the challenges of market turbulences? Crucial for the competitiveness of these companies is the compensation of wage and salary costs through highly ...
Georg Kasakow, Jan Christian Aurich
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A Real-Time Quality Control System Based on Manufacturing Process Data
IEEE Access, 2020 Quality prediction is one of the key links of quality control. Benefitting from the development of digital manufacturing, manufacturing process data have grown rapidly, which allows product quality predictions to be made based on a real-time ...
Gui-Jiang Duan, Xin Yan
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Pelatihan Good Manufacturing Practice (GMP) pada Usaha Pangan Binaan Universitas Andalas
Warta Pengabdian Andalas, 2020 Food business is a very promising, but the products must be safe and worth buying. Good manufacturing practices (GMP) are production practices which considering various aspects, such as preventing food contamination during the production process, and ...
Tivany Edwin +4 more
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