scholarly journals A multi-period multi-modal stochastic supply chain model under COVID pandemic: A poultry industry case study in Mississippi

Author(s):  
Amin Yazdekhasti ◽  
Jun Wang ◽  
Li Zhang ◽  
Junfeng Ma
Author(s):  
Ketut Buda Artana ◽  
Dinariyana Dwi Putranta ◽  
Irfan Syarief Arief ◽  
I MadeAriana

Increase in demand for clean energy is one of the strategic issues in Indonesia nowadays, considering the significant economic growth of the country. A conventional LNG supply chain is not the best solution taking into consideration its high investment. The possibility of using a small scale LNG supply chain concept (Mini LNG) is recently sought by the government and private sectors in Indonesia. It is even more promising when we consider the amounts and number of stranded gas fields in the country. One of the main obstacles to the development plan is the geographical position of Indonesia as an archipelagic country. This paper presents a case study of LNG supply chain model of 10 mmscfd Gas Sales Agreement (GSA) in Batam and its design of LNG transportation model from Batam to Siantan-West Kalimantan [1]. The distance between Batam and Siantan is approximately 392 nautical miles. Two main objectives are covered in this paper. The first one is an implementation of the Analytical Hierarchy Process (AHP) to select the best location for mini LNG plant, and the second one is to design the LNG supply chain model based on optimization approach. The AHP model uses a pairwise comparison of 4 (four) qualitative attributes and 14 (fourteen) sub-attributes. 3 alternatives of location for mini LNG plant are evaluated, namely: Tanjung Uncang, Pemping Island and Janda Berhias Island. A sensitivity analysis by varying the weight of some critical attributes is also conducted to ensure that preferred location is sensitively selected with minimum error. The optimization of the LNG supply chain model is carried out by means of Gradually Reduced Gradient (GRG) methods. The Objective is to attain one design that will minimize investment (cost). Decision variables of the model are LNG plant capacity, storage tank capacity in loading and receiving terminal, vessel size, number of round trip, number of operating vessels, regasification capacity at the receiving terminal, and others.


2020 ◽  
Vol 147 ◽  
pp. 02007
Author(s):  
Ensi Saraswati ◽  
Suadi

This research aimed to understand the flow of fish commodity, information, and financial in the fish supply chain at the traditional market, through case study in the Beringharjo market Yogyakarta. Data was collected through systematic interview with 18 fish businesspersons and observation on the study site. The study showed fish commodities in the market consisted of marine, freshwater and processed fish (salted/dried fish and soft bone milkfish/bandeng presto). The fish majorly supplied by suppliers from outside Yogyakarta, that reached 86-90% for fresh fish (marine and freshwater) and 100% for salted fish and raw material of bandeng presto. Suppliers and traders in Beringharjo market used flexible methods of payment, such as manual receipt and trust-based relation (for instance pay on other day). The suppliers and traders had been work together for more than five years. The emerging problems were the lack of fresh fish supply and the low quality of processed fish. The supply chain model for fresh fish involved three stages (supplier-seller-ultimate customer/household) and the supply chain model for processed fish in four stages (supplier-wholesaler-trader/seller-ultimate consumer). The supply chain model for the milkfish also consisted of four stages (supplier-fish processor-seller-ultimate consumer). The study indicates the importance of improving local fish production systems to fullfill growing fish consumption in DIY.


2019 ◽  
Vol 76 ◽  
pp. 87-108 ◽  
Author(s):  
Linh Thi Truc Doan ◽  
Yousef Amer ◽  
Sang-Heon Lee ◽  
Phan Nguyen Ky Phuc ◽  
Luu Quoc Dat

2017 ◽  
Author(s):  
Alessandra Lupita ◽  
Sabrina Heriza Rangkuti ◽  
Wahyudi Sutopo ◽  
Muh. Hisjam

Author(s):  
John Kaliski ◽  
Queen Booker

Thanks to the strategic priorities of the current federal administration, discussions about green management are a popular trend in the business community. Increasing efficiency, limiting energy consumption, and reducing waste internally as well as along the supply chain has been one way that managers have addressed “going green.” Some examples include front-to-back printing and stringent recycling efforts. For the lumber industry, going green is not as easy as changing how employees print or recycle plastic bottles, especially since one of the main resources in the lumber industry is wood. In this regard, the authors discuss a proposed supply chain model to reduce intra-process shipments, improve raw material acquisition and usage, and improve production yields through repurposing of the wood by-product created during the manufacture of reclaimed, wood-based products. The proposed model also suggests that entrepreneurial efforts could lead the way in innovating how wood by-products can be used to create disruptive methods that could lead to new wood based businesses.


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