Emergency supply chain management: Case study of Taiwan

2012 ◽  
Vol 6 (34) ◽  
Author(s):  
Shuo-Yan Chou
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Chain Management ◽  
Management Case Study ◽  
Emergency Supply

scholarly journals ANALISIS MANAJEMEN RANTAI PASOK LOBSTER (Studi Kasus di Kabupaten Simeulue, Aceh)

2016 ◽  
Vol 10 (2) ◽  
pp. 203 ◽  
Author(s):  
Riesti Triyanti ◽  
Risna Yusuf
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Financial Institution ◽  
Chain Management ◽  
Work Area ◽  
Policy Concern ◽  
Fish Product ◽  
Government District ◽  
Management Case Study

Kabupaten Simeulue sebagai daerah kepulauan memiliki potensi perikanan yang cukup besar namun pemanfaatannya masih tergolong rendah. Kontribusi sektor perikanan terhadap PDRB Kabupaten Simeulue hanya mencapai 2,20 persen selama tujuh tahun terakhir meskipun dari sisi nilai laju pertumbuhan naik secara signifikan (19,12 %). Penelitian ini bertujuan untuk memetakan rantai pasok lobster di Kabupaten Simeulue yang meliputi interaksi sosial ekonomi dan kontribusi antar pelaku usaha yang terlibat. Pengumpulan data dilakukan melalui wawancara terhadap pelaku usaha yang terlibat serta Badan Karantina Ikan, Pengendalian Mutu, dan Keamanan Hasil Perikanan (BKIPMKHP) Wilayah Kerja Simeulue. Data hasil wawancara dilengkapi hasil observasi dan dokumentasi, selanjutnya diolah dan disajikan secara deskriptif. Hasil penelitian menunjukkan bahwa rantai pasok lobster terdiri dari nelayan/ pembudidaya (100%) → supplier (100%) → eksportir (90%) dan konsumen lokal (10%) → konsumen luar negeri (100%) serta terdiri dari tujuh pemetaan dalam manajemen rantai pasok. Permasalahan yang terjadi adalah makin menurunnya volume lobster yang di pasok, adanya monopoli harga oleh eksportir, aksesilibitas pasar yang terbatas pada produsen, penerapan teknologi (penyimpanan dan pengiriman) hanya pada eksportir, dan belum adanya kelembagaan keuangan formal yang menjamin harga lobster lebih tinggi. Manajemen rantai pasok lobster dapat menjadi bahan kebijakan untuk pemerintah daerah Kabupaten Simeulue dalam peningkatan pendapatan dan kesejahteraan nelayan maupun pembudidaya lobster. (Analysis of Lobster Supply Chain Management (Case Study in Simeulue District, Aceh))Simeulue islands have a large fisheries potential, but its use is still relatively low. Contribution of the fisheries sector to Simeulue’s GDP only reached 2.20 per cent over the last seven years despite of the value of the growth rate increased significantly (19.12%). The aim of this studi is to map lobster supply chain in Simeulue Island which includes economic and social interaction among business actors involved. Data collected through interviews with businesses and Agency for fish quarantine, quality control and safety of fish product work area in Simeulue District. Interviewed data are compounded by the results of observation and documentation. Data were processed and presented descriptively. Results of the study showed that the supply chain lobster consists of: fishers/farmers (100%) → supplier (100%) → exporters (90%) and local consumers (10%) → consumers abroad (100%) and consists of seven mapping in management supply chain. The problem that occurs is decreasing of volume supplied lobster, pricing monopoly by exporters, limited market accessibility by producer, application of technology (storage and delivery) only on exporters, and financial institution that guarantees higher lobster prices are not available. Lobster supply chain management can be a policy concern for the local government district of Simeulue in increasing the income and prosperity lobster fishers and farmers.

scholarly journals Application of Information and Technology in Supply Chain Management: Case Study of Artificial Intelligence – A Mini Review

2020 ◽  
Vol 5 (12) ◽  
pp. 19-23
Author(s):  
Hieu Bui Trong ◽  
Uyen Bui Thi Kim
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Chain Management ◽  
The Past ◽  
Widespread Acceptance ◽  
Limited Application ◽  
Block Chain ◽  
Management Case Study

It is wide known that the world has been moving towards a digital future over the years, and Industry 4.0 technologies are considered to be the way of the future. One of the most prominent of these technologies (including Block Chain, Internet of Things, Cloud Computing, Big Data, etc.) is Artificial Intelligence (AI), was introduced to develop and create “thinking machines” that are capable of mimicking, learning, and replacing human intelligence. However, its widespread acceptance as a decision-aid tool, AI has seen limited application in supply chain management (SCM). The purpose of this work is to identify the contributions of AI to SCM through a brief review of the existing literature. Besides, this paper reviews the past record of success in AI applications to SCM and identifies the most subfields of SCM in which to apply AI.

scholarly journals Blockchain-based agri-food supply chain management: case study in China

2020 ◽  
Vol 23 (5) ◽  
pp. 667-679
Author(s):  
Hao Fu ◽  
Cuiping Zhao ◽  
Chuanxing Cheng ◽  
Hengyun Ma
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Information Asymmetry ◽  
Food Supply ◽  
Food Supply Chain ◽  
Trust Mechanism ◽  
Chain Management ◽  
Management Case Study ◽  
Internet Of Things Technology

The fundamental purpose of agri-food supply chain management is to restrict opportunism caused by information asymmetry. Traditional Chinese agri-food supply chain management introduces a contract mechanism and a trust mechanism to manage the uncertainty of the agri-food quasi-organization. However, it is almost impossible to improve the efficiency of transactions and maintain agri-food supply chain stability in the case of asymmetric information. Nowadays, blockchain, Internet of Things technology and big data drive the agri-food supply chain into a vast smart network which would break the information constraints. This paper analyzes the coupling between blockchain-based digital system and the agri-food supply chain. In addition, this paper presents two cases from China, indicating that the proposed blockchain-based system can achieve disruptive transformation in agri-food supply chain management.

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