000			02617nam a22003255i 4500
999			_c401849 _d401849
001			401849
003			ES-MaUEC
005			20240713195132.0
006			a|||| o|||| 00| 0
007			cr nn 008mamaa
008			231214s2024 sz | o |||| 0|eng d
020			_a9783031342189
024	7		_a10.1007/978-3-031-34218-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTS176 _b2024 EB
245	0	0	_aEnergy-Related Material Flow Simulation in Production and Logistics _cedited by Sigrid Wenzel, Markus Rabe, Steffen Strassburger, Christoph von Viebahn
250			_a1st ed. 2024
264		1	_aCham _bSpringer International Publishing _c2024
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aClassification, input data, and key performance indicators -- Manufacturing -- Automotive -- Transportation -- Retail -- Perishables -- Renewables.
520			_aThis book provides for the first time an overview on the current approaches and applications of energy aspects in production and logistics by the use of simulation techniques. During the last decade, the importance of energy in the material flow processes has become more and more important. The pressure to reduce the environmental footprint of production and logistics systems will even intensify in future. Therefore, enterprises have started to integrate the use of energy into their planning processes much more than before, even designing feedback loops, e.g., from energy control to production control. This receives additional attention with the increasing use of renewable, but less reliable, energy sources. Care must be taken to establish processes that aim to use energy when it is available. As an example, many industrial processes like melting or coating have significant energy demands, but could vary the point of time of its consumption within specific limits, leading to a very high complexity. It discusses the construction and application of energy-specific performance indicators and analyzes the input information that needs to be acquired before implementing suitable models. On this basis, concrete technical solutions are introduced.
988			_aSpringer_Engineering_2024
650		7	_2embne _9150644 _aGestión de la producción
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-34218-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2024 _dz _eIG _zSI