000 03991nam a22003497a 4500
001 21503683
003 OSt
005 20220322103209.0
008 220322b xxu||||| |||| 00| 0 eng d
010 _a 2020017970
020 _a9781260461831 (hbk.)
_q$125.00
020 _z9781260461848
_q(ebook)
040 _aDLC
_beng
_cDLC
_erda
_dDLC
_dIIMU
042 _apcc
082 0 0 _a658.5
_223
100 1 _aIravani, Seyed,
_eauthor.
245 1 0 _aOperations engineering and management :
_bconcepts, analytics, and principles for improvement /
_cSeyed M. R. Iravani.
264 1 _aNew York :
_bMcGraw Hill Education,
_c[2021]
300 _axxi, 837 pages ;
_c27 cm
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
365 _2$
_aUSD
_b$125.00
_cINR
_d1 USD = 79.10 INR
_f10/02/2022
504 _aIncludes bibliographical references and index.
520 _a"A new textbook for upper level undergraduate to graduate level industrial and manufacturing engineering students in courses of Operations Engineering or Management applying engineering problem solving data analytics to business operations"--
_cProvided by publisher.
520 _aDiscover how to apply engineering thinking and data analytics in your business operations This hands-on textbook shows, step by step, how to use the engineering problem solving approach and data analytics techniques to drive effective tactical and control-level decision making in operations systems and supply chains. Operations Engineering and Management: Concepts, Analytics and Principles for Improvement is based on the author’s successful classes in both business and engineering. The book presents concepts and principles of operations management, with a strong emphasis on analytics and operations improvement. You will also get full details on the classic management approach to operations and supply chain management. Coverage includes: Operations strategy, Process-flow analysis, Forecasting and variability, Capacity concepts and measures, Throughput improvement, Flow time analysis and improvement, Inventory management for deterministic and stochastic demand, Inventory improvement, Aggregate planning and lean operations, Operations scheduling and flexible operations, Quality management and control, Quality improvement and Six Sigma Additional Online Content: Supplementary Content - For interested readers chapters 3, 7, 8, 9, 10, 13, 14, and 16 have online supplements that extend their content either by presenting more applications of the topics, or by developing more advanced analytics. Appendices - Thirteen additional Appendices are available online as follows: Effective Capacity of a Resource, Proof for Optimality of the c-mu Rule, Optimal EOQ Model with Trade Promotion, Newsvendor Problems with Continuous Demand Distribution, Optimal (Q;R) Policy with Cost Per Backorder Demand, Optimal (Q;R) Policy with Cost per Backorder Demand per Time, Optimal (Q;R) Policy with Lost Sales, Pooling Inventory and Cost Saving per Unit Demand, Optimality of SPT Rule, Finding Control Limits for the u Chart, Solving Mathematical Programming Models Using Solver, Finding Inverse of a Matrix Using Excel, and Multiplying Two Matrices Using Excel Online content is open source and can be accessed via the "Downloads & Resources" tab at the following page: https://www.mhprofessional.com/9781260461831-usa-operations-engineering-and-management-concepts-analytics-and-principles-for-improvement-group
_ctaken from the publisher site.
650 0 _aOperations research.
856 _3Publisher's Description
_uhttps://www.mhprofessional.com/9781260461831-usa-operations-engineering-and-management-concepts-analytics-and-principles-for-improvement-group
906 _a7
_bcbc
_corignew
_d1
_eecip
_f20
_gy-gencatlg
942 _2ddc
_cM
955 _brk21 2020-04-16
_crk21 2020-04-16 to rk09 for subj. (telework)
_axn11 2020-12-10 1 copy rec'd., to CIP ver.
999 _c13030
_d13030