Janya Chanchaichujit, José F. Saavedra-Rosas

Using Simulation Tools to Model Renewable Resources

The Case of the Thai Rubber Industry

• Gebundenes Buch

Produktbeschreibung

This book provides a detailed study of the Thai rubber industry and its utilisation of renewable resources, focussing on the use of open source software in building supply chain models. By describing elements that the supply chain is composed of and relating this to Thailand's rubber industry, the authors then outline the construction of a Discrete Event Simulation (DES) model and use open source software to model renewable resources in this particular supply chain. Emphasis is placed on the way that modelling can aid the important decision-making required in the exploitation of natural resources. By taking a hands-on approach and offering a valuable guide for readers, this book not only appeals to academics in the fields of industrial engineering, operations, logistics and supply chain management, but also to practitioners, policy-makers and associations involved in the rubber industry.

Produktdetails

• Verlag: Palgrave Macmillan / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-55815-8
• 1st ed. 2018
• Seitenzahl: 180
• Erscheinungstermin: 10. Juli 2017
• Englisch
• Abmessung: 216mm x 153mm x 15mm
• Gewicht: 365g
• ISBN-13: 9783319558158
• ISBN-10: 3319558153
• Artikelnr.: 47607080

Autorenporträt

Janya Chanchaichujit is Lecturer in Logistics and Supply Chain Management at Walailak University, Thailand. José F. Saavedra-Rosas is Adjunct Professor in the Faculty of Physical and Mathematical Sciences at the University of Chile.

Inhaltsangabe

1. Introduction.- 2. The Elements of the Natural Rubber Industry Supply Chain.- 3. Discrete Event Simulation Concepts.- 4. DES Model Development.- 5. Model Implementation and Validation.- 6. Conclusions and Future Research Avenues.

---

1. Introduction.- 2. The Elements of the Natural Rubber Industry Supply Chain.- 3. Discrete Event Simulation Concepts.- 4. DES Model Development.- 5. Model Implementation and Validation.- 6. Conclusions and Future Research Avenues.