Optimal Design of the Biofuel Supply Chain Utilizing Multiple Feedstocks: A Korean Case Study

Author(s):  
Mohammadamin Zarei ◽  
Haider Niaz ◽  
Rofice Dickson ◽  
Jun-Hyung Ryu ◽  
J. Jay Liu
2020 ◽  
Vol 134 ◽  
pp. 106720 ◽  
Author(s):  
Masoud Rabbani ◽  
Sara Momen ◽  
Niloofar Akbarian-Saravi ◽  
Hamed Farrokhi-Asl ◽  
Zabih Ghelichi

Author(s):  
Fitriani Tupa R Silalahi ◽  
Togar M. Simatupang ◽  
Manahan Siallagan

One renewable energy form currently being promoted is that of biodiesel as a substitute for diesel fuel. This involves mixing biodiesel with petrodiesel in proportions governed by the respective regulations of each country. The purposes of this research are to support the exploiting of biodiesel forms of renewable energy and to optimize the palm oil-sourced biodiesel supply chain by conducting an Indonesia-based case study. The optimization process was implemented in accordance with the government's mandate and long-term planning. There are two decision variables to consider. First, the model will identify the optimum delivery point locations as a blending terminal between biodiesel and petrodiesel (petroleum diesel). Second, it will determine the location of biodiesel plants’ construction in order to satisfy the government's mandate. The results show that, while determining delivery point locations affects supply chain costs, it does not do so significantly. More influential is determining the construction locations of biodiesel plants and this study provides a model for deciding the delivery points and locations of biodiesel plants in order to minimize biodiesel supply chain costs in Indonesia. This study presents in detail biodiesel supply chain process in Indonesia and based on the literature, no research was found on studying optimization biodiesel supply chain in Indonesia.  


Author(s):  
Yutaka Nomaguchi ◽  
Daiki Osaki ◽  
Kikuo Fujita

Product family design generally aims at overhead reduction due to component commonality meeting various customer needs. Quantity discount is one of the most crucial factors to consider cost reduction effects. However, it also contains the risk of drastic profit decrease when a demand or supply capacity unexpectedly changes. This research aims at proposing an optimal design method of product family with assessment of robustness of expected profit. First, this paper discusses the structure of the optimal design problem of product family considering quantity discount in supply chain. The modeling of quantity discount faces a problem of discontinuous of design spaces. The discontinuity of a design space makes optimization more difficult. This research proposes a method to solve it with reasonable calculation cost by utilizing branch and bound and linear programming. A case study of designing a product family of drip coffee maker demonstrates the application of the proposed method in order to verify it.


Sign in / Sign up

Export Citation Format

Share Document