{"product_id":"generic-multi-agent-reinforcement-learning-approach-for-flexible-job-shop-scheduling-paperback","title":"Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling - Paperback","description":"\u003cp\u003eby \u003cb\u003eSchirin Bär\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eThe production control of flexible manufacturing systems is a relevant component that must go along with the requirements of being flexible in terms of new product variants, new machine skills and reaction to unforeseen events during runtime. This work focuses on developing a reactive job-shop scheduling system for flexible and re-configurable manufacturing systems. Reinforcement Learning approaches are therefore investigated for the concept of multiple agents that control products including transportation and resource allocation.\u003cbr\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eThe production control of flexible manufacturing systems is a relevant component that must go along with the requirements of being flexible in terms of new product variants, new machine skills and reaction to unforeseen events during runtime. This work focuses on developing a reactive job-shop scheduling system for flexible and re-configurable manufacturing systems. Reinforcement Learning approaches are therefore investigated for the concept of multiple agents that control products including transportation and resource allocation.\u003cbr\u003e\u003cb\u003eAbout the author\u003c\/b\u003e\u003cb\u003eSchirin Bär\u003c\/b\u003e researched at the RWTH-Aachen University at the Institute for Information Management in Mechanical Engineering (IMA) on the optimization of production control of flexible manufacturing systems using reinforcement learning. As operations manager and previously as an engineer, she developed and evaluated the research results based on real systems.\u003cbr\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cbr\u003e\u003cb\u003eAbout the author\u003c\/b\u003e\u003cb\u003eSchirin Bär\u003c\/b\u003e researched at the RWTH-Aachen University at the Institute for Information Management in Mechanical Engineering (IMA) on the optimization of production control of flexible manufacturing systems using reinforcement learning. As operations manager and previously as an engineer, she developed and evaluated the research results based on real systems.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 148\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.37 x 8.27 x 5.83 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 02, 2022\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42719340265535,"sku":"9783658391782","price":89.08,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/3f30d8691c245208b18a12b34fa9aa8a.webp?v=1765085280","url":"https:\/\/dhl-adrianne.myshopify.com\/products\/generic-multi-agent-reinforcement-learning-approach-for-flexible-job-shop-scheduling-paperback","provider":"BBB","version":"1.0","type":"link"}