000			02095nam a22002417i 4500
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008			250708s2024 us a|||fr|||| 00| 0 eng d
040			_aEG-GaU‬‬ _cEG-GaU‬‬ _dEG-GaU‬‬ _erda
082	0	4	_223 _a658.4034 _bM.M.O
100	1		_aMerigo, M. _eauthor _960190
245	1	0	_aOperation Research : _bAn Introduction / _cM. Merigo
264		1	_aNew York : _bEDTECH PRESS, _c2024
300			_a293 pages : _bIllustraion ; _c25cm
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
520			_aOrganisational management can benefit from the analytical problem-solving and decision-making process known as operations research (OR). In operations research, issues are deconstructed into their simplest forms before being mathematically analysed and then resolved in a set of processes. When it comes to decision-making, operations research offers a more potent method than standard software and data analytics technologies. Employing operations research experts can assist businesses in obtaining more comprehensive datasets, taking into account all available options, forecasting all potential outcomes, and estimating risk. Additionally, operations research can be customised to certain company procedures or use cases to identify the most effective problem-solving methods. Operations research is a broad field that includes many different approaches to tackling issues that are used to increase effectiveness and decision-making. In order to find optimal or nearly optimal solutions to challenging decision-making situations, this book applies advanced analytical techniques from formal science and applied mathematics, including mathematical modelling, statistical analysis, and mathematical optimisation. It frequently focuses on figuring out the maximum or lowest of some real-world objective.
650		0	_aOperations research.
650		0	_aOptimization (Mathematics). _960204
650		0	_aLinear programming.
942			_2ddc _cBK
999			_c10970 _d10970