{"product_id":"operations-management-and-data-analytics-modelling-economic-crises-perspective","title":"Operations Management and Data Analytics Modelling: Economic Crises Perspective","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eOperations Management and Data Analytics Modelling: Economic Crises Perspective discusses recent advances and trends in developing data-driven operation management-based methodologies, big data analysis, application of computers in industrial engineering, optimization techniques, development of decision support systems for industrial operations, the role of a multiple-criteria decision-making (MCDM) approach in operation management, fuzzy set theory-based operation management modelling, and Lean Six Sigma. It is aimed at graduate students and professionals in industrial and production engineering, mechanical engineering, and materials science. \u003c\/blockquote\u003e\u003cp\u003e                                                            \u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e                              \u003cstrong\u003eLength\u003c\/strong\u003e: 184 pages\u003cbr\u003e                              \u003cstrong\u003ePublication date\u003c\/strong\u003e: 31 December 2021\u003cbr\u003e                              \u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e                          \u003c\/p\u003e \u003cp\u003e\u003cbr\u003eOperations Management and Data Analytics Modelling: Economic Crises Perspective delves into the realm of real-world operation management challenges, focusing on key sectors such as healthcare and energy management, as well as Industry 4.0. It explores the latest advancements and trends in developing data-driven operation management-based methodologies, comprehensive big data analysis, the integration of computers in industrial engineering, optimization techniques, the creation of decision support systems for industrial operations, the significance of a multiple-criteria decision-making (MCDM) approach in operation management, the application of fuzzy set theory in operation management modelling, and Lean Six Sigma.\u003cbr\u003e\u003cbr\u003eThis comprehensive book serves as a valuable resource for graduate students and professionals seeking to excel in the fields of industrial and production engineering, mechanical engineering, and materials science. It offers a detailed discussion on the importance of data analytics in enhancing industrial operations, providing step-by-step implementation of operation management models to identify best practices. It also delves into in-depth analysis using data-based operation management tools and techniques, highlighting the use of mathematical modelling for developing novel operation management models to address industrial problems.\u003cbr\u003e\u003cbr\u003eBy presenting a comprehensive overview of these topics, Operations Management and Data Analytics Modelling: Economic Crises Perspective equips readers with the knowledge and skills necessary to thrive in today's competitive industrial landscape.\u003c\/p\u003e\u003cp\u003e                            \u003cstrong\u003eWeight\u003c\/strong\u003e: 450g                            \u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 223 x 243 x 18 (mm)                            \u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9780367754518                                                      \u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Hardback","offer_id":44103881425146,"sku":"9780367754518","price":122.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/4be963748d6e59f9473f286e1d5f5ddd.jpg?v=1641274606","url":"https:\/\/shulphink.com\/products\/operations-management-and-data-analytics-modelling-economic-crises-perspective","provider":"Shulph Ink","version":"1.0","type":"link"}