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Erschienen in:
Buchtitelbild

2018 | OriginalPaper | Buchkapitel

1. Introduction

verfasst von : Janya Chanchaichujit, José F. Saavedra-Rosas

Erschienen in: Using Simulation Tools to Model Renewable Resources

Verlag: Springer International Publishing

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Abstract

This chapter presents the background related to the book: the natural rubber industry, decision support systems for the rubber industry and a simulation model.

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Nächstes Kapitel The Elements of the Natural Rubber Industry Supply Chain
Literatur
Adhitya, A., Halim, I., & Srinivasan, R. (2011). Decision support for green supply chain operations by integrating dynamic simulation and LCA indicators: Diaper case study. Environmental Science & Technology, 45(23), 10178–10185.CrossRef
Barlow, C., Jayasuriya, S., & Tan, C. S. (1994). The world of rubber industry. London: Routledge.
Bojarski, A. D., Laínez, J. M., Epuna, A., & Puigjaner, L. (2009). Incorporating environmental impacts and regulations in a holistic supply chains modeling: An LCA approach. Computers & Chemical Engineering, 33(10), 1747–1759.
Budiman, A. (2002). Recent developments in natural rubber prices (techreport, FAO).
Chanchaichujit, J. (2014). Green supply chain model for the thai rubber industry. Ph.D. thesis, Graduate School of Business, Curtin University, Australia.
Chanchaichujit, J., Saavedra-Rosas, J., & Kaur, A. (2016a). Analysing the impact of restructuring transportation, production and distribution on costs and environment a case from the Thai rubber industry. International Journal of Logistics Research and Applications, 1–17. doi:10.​1080/​13675567.​2016.​1217317.
Chanchaichujit, J., Saavedra-Rosas, J., Quaddus, M., & West, M. (2016b). The use of an optimisation model to design a green supply chain: A case study of the Thai rubber industry. The International Journal of Logistics Management, 27(2), 595–618. doi:10.​1108/​IJLM-10-2013-0121.
Chanpuypetch, W., & Kritchanchai, D. (2009). Gateway selections for Thailand rubber export. In Asia Pacific Industrial Engineering and Management Society, Kitakyushu, Japan.
Coyle, J., Bardi, E., & Langley, C. (2003). The management of business logistics: A supply chain perspective. SWC-Management Series. South-Western/Thomson Learning.
Dantzig, G. (2002). Linear programming. Operations Research, 50(1), 42–47.CrossRef
EIRI. (2014). Modern rubber chemicals, compounds and rubber goods technology. Engineers India Research Institute.
Hugo, A., & Pistikopoulos, E. N. (2005). Environmentally conscious long-range planning and design of supply chain networks. Journal of Cleaner Production, 13(15), 1471–1491.CrossRef
Jacxsens, L., Luning, P. A., van der Vorst, J. G. A. J., Devlieghere, F., Leemans, R., & Uyttendaele, M. (2010). Simulation modelling and risk assessment as tools to identify the impact of climate change on microbiological food safety the case study of fresh produce supply chain. Food Research International, 43(7), 1925–1935.CrossRef
Jayaraman, V., Patterson, R. A., & Rolland, E. (2003). The design of reverse distribution networks: Models and solution procedures. European Journal of Operational Research, 150(1), 128–149.CrossRef
Jayaraman, V., & Ross, A. (2003). A simulated annealing methodology to distribution network design and management. European Journal of Operational Research, 144(3), 629–645.CrossRef
Kainuma, Y., & Tawara, N. (2006). A multiple attribute utility theory approach to lean and green supply chain management. International Journal of Production Economics, 101(1), 99–108.CrossRef
Khoo, H. H., Bainbridge, I., Speding, T. A., & Taplin, D. M. (2001). Creating a green supply chain. GMI, 35(Autumn), 71–88.
Ko, H. J., & Evans, G. W. (2007). A genetic algorithm-based heuristic for the dynamic integrated forward/reverse logistics network for 3PL. Computers & Operations Research, 34(2), 346–366.CrossRef
Kritchanchai, D. (2009). Rubber supply chain in north eastern part of Thailand. In Asia Pacific Industrial Engineering and Management Society, Kitakyushu, Japan.
Kritchanchai, D., Somboonwiwat, T., & Chanpuypetch, W. (2010). Supply chain champion in Thailand: A case of rubber to tire industry. In International conference on logistics and maritime systems (LOGMS 2010), Busan, Korea.
Lee, D.-H., & Dong, M. (2008). A heuristic approach to logistics network design for end-of-lease computer products recovery. Transportation Research Part E: Logistics and Transportation Review, 44(3), 455–474.CrossRef
Melo, M. T., Nickel, S., & da Gama, F. S. (2009). Facility location and supply chain management a review. European Journal of Operational Research, 196(2), 401–412.CrossRef
Mula, J., Peidro, D., Daz-Madroero, M., & Vicens, E. (2010). Mathematical programming models for supply chain production and transport planning. European Journal of Operational Research, 204(3), 377–390.
Neto, J. Q. F., Bloemhof-Ruwaard, J., van Nunen, J., & van Heck, E. (2008). Designing and evaluating sustainable logistics networks. International Journal of Production Economics, 111(2), 195 – 208. Special Section on Sustainable Supply Chain.
OAE. (2015). Natural rubber: Tapping area production: Year 2014–2016. Office of Agricultural Economics.
Power, D. J., & Sharda, R. (2007). Model-driven decision support systems: Concepts and research directions. Decision Support Systems, 43(3), 1044–1061.CrossRef
Ptolemaeus, C. (2014). System design, modeling, and simulation using ptolemy II. Ptolemy.org.
Riddalls, C. E., Bennett, S., & Tipi, N. S. (2000). Modelling the dynamics of supply chains. International Journal of Systems Science, 31(8), 969–976.CrossRef
RRIT. (2015). Thailand natural rubber production. Rubber research institute of Thailand.
Sasikumar, P., & Kannan, G. (2009). Issues in reverse supply chain, Part III: Classification and simple analysis. International Journal of Sustainable Engineering, 2(1), 2–27.CrossRef
Sheu, J.-B., Chou, Y.-H., & Hu, C.-C. (2005). An integrated logistics operational model for green-supply chain management. Transportation Research Part E: Logistics and Transportation Review, 41(4), 287–313.CrossRef
Soysal, M., Bloemhof-Ruwaard, J. M., & van der Vorst, J. G. A. J. (2014). Modelling food logistics networks with emission considerations: The case of an international beef supply chain. International Journal of Production Economics, 152, 57–70.CrossRef
SRI. (2011). Sri trang agro-industry public company limited prospectus 2011.
Srivastava, S. (2007). Green supply-chain management: A state-of-the-art literature review. International Journal of Management Reviews, 9(1), 53–80.CrossRef
Terzi, S., & Cavalieri, S. (2004). Simulation in the supply chain context: A survey. Computers in Industry, 53(1), 3–16.CrossRef
Teunter, R. H., & Vlachos, D. (2002). On the necessity of a disposal option for returned items that can be remanufactured. International Journal of Production Economics, 75(3), 257–266.CrossRef
van der Vorst, J., Tromp, S., & van der Zee, D. J. (2009). Simulation modelling for food supply chain redesign; integrated decision making on product quality, sustainability and logistics. International Journal of Production Research, 47(23), 6611–6631.CrossRef
Wang, F., Lai, X., & Shi, N. (2011). A multi-objective optimization for green supply chain network design. Decision Support Systems, 51(2), 262–269.CrossRef
Wasusri, T., & Chaichompoo, A. (2008). A study of logistics system for exporting natural rubber from Thailand to china. In 13th international Symposium on Logistics. Bangkok, Thailand.
Metadaten
Titel
Introduction
verfasst von
Janya Chanchaichujit
José F. Saavedra-Rosas
Copyright-Jahr
2018
Buch
Using Simulation Tools to Model Renewable Resources

Print ISBN: 978-3-319-55815-8

Electronic ISBN: 978-3-319-55816-5

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-55816-5_1