aSimulation-based Case Studies in Logisticsa presents an intensive learning course on the application of simulation as a decision support tool to tackle complex logistic problems. The book describes and illustrates different approaches to developing simulation models at the right abstraction level to be used efficiently by engineers when dealing with strategic, tactical or operational decisions in logistic systems. 11 simulation-based case studies in logistics and supply chain management are discussed, based on the results of applied research, covering application areas such as production logistics, warehousing, transportation, material flow management, and hospital logistics. aSimulation-based Case Studies in Logisticsa is an essential text for postgraduate engineering students and researchers working in the area of logistics modeling and simulation.For each diagnostic code, we fitted the theoretical distribution function that most closely matched it. To guarantee a good fit we see if the hypothetical tests generate adequate values. Figure 5.3 shows how the adjustment was done by using theanbsp;...
Title | : | Simulation-Based Case Studies in Logistics |
Author | : | Yuri Merkuryev, Galina Merkuryeva, Miquel ANgel Piera, Antoni Guasch Petit |
Publisher | : | Springer Science & Business Media - 2009-01-13 |
You must register with us as either a Registered User before you can Download this Book. You'll be greeted by a simple sign-up page.
Once you have finished the sign-up process, you will be redirected to your download Book page.
How it works: