{"id":135,"date":"2020-03-02T07:32:22","date_gmt":"2020-03-02T07:32:22","guid":{"rendered":"https:\/\/arms10.org\/publication\/?p=135"},"modified":"2020-03-03T06:15:38","modified_gmt":"2020-03-03T06:15:38","slug":"evaluation-of-production-schedule-in-smart-factory","status":"publish","type":"post","link":"https:\/\/arms10.org\/publication\/evaluation-of-production-schedule-in-smart-factory\/","title":{"rendered":"Evaluation of Production Schedule in Smart Factory"},"content":{"rendered":"\n<h2><a href=\"https:\/\/www.vssewingmachine.in\/\">Evaluation of Production Schedule in Smart Factory<\/a><\/h2>\n\n\n\n<p>We should complete customized products in<br> specified time to implement smart factories. For this simulation<br> can work as a tool for validating production schedule. We<br> propose in the manuscript a simulation model for sewing<br> machine and modeling tool for simulation of sewing process.<\/p>\n\n\n\n<p>Industrie 4.0, proposed by DFKI [1], is defined as the 4th<br> industrial revolution based on Internet-of-Things (IoT) [2],<br> cyber-physical systems (CPS) [3], and Internet-of-Services<br> (IoS) [4]. One of the characteristics of Industrie 4.0 is that it<br> includes smart factories capable of generating customized<br> products for customers. One of the important issues to<br> implement a smart factory is to complete and deliver<br> customized products to customers within specified time. For<br> this, we need an efficient scheduling algorithm [5].<br> It becomes more and more sophisticated work to validate a<br> production schedule in factories. Simulation is a tool for<br> validating a production schedule and changing it if needed. For<br> using simulation, we need appropriate simulation models. In<br> this paper, we propose a sewing machine model for simulating<br> sewing process. The proposed sewing machine model includes<br> sensing, sewing, forwarding and control functions as<br> submodels. Also, we propose a modeling tool that includes the<br> proposed model. The proposed modeling tool manages a model<br> library that can be continuously extended for sewing process<br> simulation. Further, it can automatically generate and build<br> source codes for simulation models. Therefore, users can easily<br> develop their own models and simulate them.<br> II. SIMULATION MODEL FOR SEWING PROCESS<br> A. Motivation<br> One of the distinguishing features of smart factories<br> compared to existing factories is that the smart factories<br> generate customized products. Other characteristics of a smart<br> factory are as follows [6-8].<a href=\"https:\/\/www.vssewingmachine.in\/\">VS sewing machine<\/a><br> 1) Each product has a unique ID. 2) Each product passes a<br> different sequence of processes until all required processes are<br> completed. 3) Products and facilities communicate with each<br> other to determine each product\u2019s production schedule.<br> Therefore, facilities in the smart factories should be modeled<br> differently than facilities in existing factories.<br> B. Sewing machine model (Structural model)<br> We defined a sewing machine model for simulating sewing<br> machine processes. Figure 1 shows the structure of the<br> proposed sewing machine model.<br> Fig. 1. Sewing machine model (Structural model)<br> The sewing machine model was defined as a structural<br> model consisting of four component models (Sensor \/ Work \/<br> Forward \/ Control). Sensor model detects raw material or semifinished<br> products arrived at the sewing machine. <\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.vssewingmachine.in\/\"><img loading=\"lazy\" width=\"500\" height=\"500\" src=\"https:\/\/arms10.org\/publication\/wp-content\/uploads\/2020\/03\/merritt-universal-sewing-machine-500x500-1.jpg\" alt=\"Evaluation of Production Schedule in Smart Factory\" class=\"wp-image-136\" srcset=\"https:\/\/arms10.org\/publication\/wp-content\/uploads\/2020\/03\/merritt-universal-sewing-machine-500x500-1.jpg 500w, https:\/\/arms10.org\/publication\/wp-content\/uploads\/2020\/03\/merritt-universal-sewing-machine-500x500-1-300x300.jpg 300w, https:\/\/arms10.org\/publication\/wp-content\/uploads\/2020\/03\/merritt-universal-sewing-machine-500x500-1-150x150.jpg 150w, https:\/\/arms10.org\/publication\/wp-content\/uploads\/2020\/03\/merritt-universal-sewing-machine-500x500-1-90x90.jpg 90w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/><\/a><\/figure>\n\n\n\n<p><br> products. Forward model chooses the next forwarding<br> facility and passes the processed semi-finished product on the<br> selected next facility. Finally, Control model governs the<br> whole operations of the sewing machine.<br> C. Sensor model (Behavioral model)<br> Sensor model abstracts a sensor module that detects raw<br> material or semi-finished products arrived at the sewing<br> machine. Figure 2 illustrates the state transition diagram of the<br> sensor model.<br> Fig. 2. Sensor model (Behavioral model)<br> Sensor model has 4 phases and moves from one phase to<br> another whenever state transition occurs. The Sensor model in<br> Init phase stores its current location and moves to the Sensing<br> phase. In Sensing phase the Sensor model periodically checks<br> whether semi-finished products has been arrived at the sewing<br> machine. If there is one, it goes to Detected phase. Otherwise,<br> it goes to Non-detected phase. In Detected phase the Sensor<br> model outputs the information of arrived product through the<br> port Out_Sensor_Detection and then returns to the Sensing<br> phase. In Non-detected phase it returns to the Sensing phase<br> after a predefined time.<br> D. Work model (Behavioral model)<br> Work model represents the sewing operation and changes<br> the properties of an arrived product. Figure 3 shows the state<br> transition diagram of the Work model.<br> Figure 3 Work model (Behavioral model)<br> Work model has 3 possible phases (Idle, Working,<br> Reporting). In Idle phase, it waits for a product to arrive at the<br> sewing machine. When an input is arrived through the port<br> In_Work_Command, the Work model moves to the Working<br> phase. It changes the properties of the arrived product in<br> Working phase and outputs the work result through the port<br> Out_Work_Report.<br> E. Forward model (Behavioral model)<br> Forward model implements a variable process of a smart<br> factory by choosing the next forwarding facility for a semifinished<br> product and delivers the product to the selected facility.<br> Figure 4 represents the state transition diagram of the Forward<br> model.<a href=\"https:\/\/www.vssewingmachine.in\/\">https:\/\/www.vssewingmachine.in\/<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/g.page\/vssewing?share\">https:\/\/g.page\/vssewing?share<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Evaluation of Production Schedule in Smart Factory We should complete customized products in specified time to implement smart factories. For this simulation can work as a tool for validating production schedule. We propose in the manuscript a simulation model for&#8230; <a class=\"direadmore\" href=\"https:\/\/arms10.org\/publication\/evaluation-of-production-schedule-in-smart-factory\/\"> Continue Reading&#8230;<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[89],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v15.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Evaluation of Production Schedule in Smart Factory - International Conference Publications<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/arms10.org\/publication\/evaluation-of-production-schedule-in-smart-factory\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Evaluation of Production Schedule in Smart Factory - International Conference Publications\" \/>\n<meta property=\"og:description\" content=\"Evaluation of Production Schedule in Smart Factory We should complete customized products in specified time to implement smart factories. For this simulation can work as a tool for validating production schedule. We propose in the manuscript a simulation model for... 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