Blending classical management science approaches with real-world Python exercises, each concept is introduced in a hands-on manner. Topics span sensitivity analysis, breakeven analysis, linear programming, simulation, dynamic programming, network models, PERT/CPM, Project management and more all illustrated with step-by-step examples. Industry use cases in supply chain and project management underscore how these solutions transform everyday operations. College students and professional managers will discover how to optimize decisions, handle uncertainty, and simulate complex systems throughout tailored Python examples. Readers can tackle real scenarios like inventory planning or critical path scheduling, bridging theory with immediate application. Emphasizing approachable language and practical demonstrations, this textbook supports robust course curricula, guided research projects, or self-study experiences that equip learners with modern problem-solving skills.
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Blending classical management science approaches with real-world Python exercises, each concept is introduced in a hands-on manner. Topics span sensitivity analysis, breakeven analysis, linear programming, simulation, dynamic programming, network models, PERT/CPM, Project management and more all illustrated with step-by-step examples. Industry use cases in supply chain and project management underscore how these solutions transform everyday operations. College students and professional managers will discover how to optimize decisions, handle uncertainty, and simulate complex systems throughout tailored Python examples. Readers can tackle real scenarios like inventory planning or critical path scheduling, bridging theory with immediate application. Emphasizing approachable language and practical demonstrations, this textbook supports robust course curricula, guided research projects, or self-study experiences that equip learners with modern problem-solving skills. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798310489493
Quantità: 1 disponibili
Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9798310489493
Quantità: Più di 20 disponibili
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9798310489493
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Da: Rarewaves.com USA, London, LONDO, Regno Unito
Paperback. Condizione: New. Codice articolo LU-9798310489493
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Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: New. In. Codice articolo ria9798310489493_new
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Da: CitiRetail, Stevenage, Regno Unito
Paperback. Condizione: new. Paperback. Blending classical management science approaches with real-world Python exercises, each concept is introduced in a hands-on manner. Topics span sensitivity analysis, breakeven analysis, linear programming, simulation, dynamic programming, network models, PERT/CPM, Project management and more all illustrated with step-by-step examples. Industry use cases in supply chain and project management underscore how these solutions transform everyday operations. College students and professional managers will discover how to optimize decisions, handle uncertainty, and simulate complex systems throughout tailored Python examples. Readers can tackle real scenarios like inventory planning or critical path scheduling, bridging theory with immediate application. Emphasizing approachable language and practical demonstrations, this textbook supports robust course curricula, guided research projects, or self-study experiences that equip learners with modern problem-solving skills. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798310489493
Quantità: 1 disponibili
Da: Rarewaves.com UK, London, Regno Unito
Book. Condizione: New. Codice articolo LU-9798310489493
Quantità: Più di 20 disponibili