scholarly journals The Risk Analysis on the Siam Banjar Orange Supply Chain Distribution Channel in Barito Kuala Regency

2021 ◽  
Vol 7 (1) ◽  
pp. 10-16
Author(s):  
Karimal Arum Shafriani ◽  
Hartoni Hartoni
Keyword(s):  
Supply Chain ◽  
Risk Analysis ◽  
Descriptive Analysis ◽  
Distribution Channel ◽  
Soil Conditions ◽  
Risk Environment ◽  
Production Risk ◽  
Transportation Risk ◽  
Priority Assessment ◽  
Methods Analytical

Siam orange is a horticultural commodity that is very suitable and suitable for soil conditions for cultivation in tidal swamps. Wrong one area for the development of the Siam Banjar orange in South Kalimantan is located in the Barito Regency Kuala. As one of the agricultural commodities, Siam Banjar orange has high enough risk, so it needs good management in terms of this is called risk management. This study aims to identify Siam Banjar orange distribution channels, identify and analyze risks that occur in the supply chain distribution channel of Siam Banjar oranges, as well measure the risk on each member of the supply chain and search for those members that have the greatest risk. The data analysis method used is descriptive analysis, methods Analytical Network Process (ANP) and Weighted Failure Mode and Effects Analysis (WFMEA) to analyze the risks that occur and find members supply chain that has the greatest risk in the supply chain distribution channel Siam Banjar oranges in Barito Kuala Regency. From this research, it is found that the distribution channel of Siam orange Banjar in Barito Kuala Regency generally consists of farmers and traders, collectors, wholesalers and retailers and applied through five structures. A more accurate risk analysis result with the WFMEA method, value WRPN obtained for price risk (151.424), transportation risk (52.875), risk supply (52.380), quality risk (51.858), production risk (50.165) and risk environment (5.888). The results of the priority assessment of the Siam orange supply chain actors Banjar with the ANP method, namely farmers (0.371), traders (0.128), wholesalers (0.360) and retailers (0.142). Thus, members of the supply chain farmers who have the greatest risk. Keywords: Risk Analysis, Supply Chain, Siam Banjar Orange, Analytical Network Prosess (ANP)

scholarly journals Risk Analysis of Partnership Broiler Farm in Blitar District, East Java, Indonesia

2021 ◽  
Vol 226 ◽  
pp. 00041
Author(s):  
Septi Nur Wulan Mulatmi ◽  
Apriliana Devi Anggraini ◽  
Febrianti Shaywont Pratami ◽  
Martina Motalova
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Broiler Chicken ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Data Sources ◽  
Contract Farming ◽  
Production Risk ◽  
Broiler Farm ◽  
Secondary Data Sources

Contract farming is a form of business cooperation between two or more parties in a certain period of time to help farmers provide production facilities. The superiority of the partnership is as a partner to share the risk burden of production between core companies and small farmers. The risk of production in broiler chicken farming includes DOC quality, feed, and disease. Therefore, production risk management must be able to manage these factors well so they cannot cause losses. The material in this research is thirty partnership farmers in Blitar, East Java, Indonesia. The method used is a survey by observation and interview. The sources of data used are primary and secondary data sources from the results of interviews and observations. The analysis used is production risk analysis to determine the level of production risk in Blitar, East Java, Indonesia and descriptive analysis to find out the production risk management used by partnership farmers in Blitar, East Java, Indonesia. The results of this study can be concluded that the risk of production in Blitar, East Java, Indonesia is categorized as high risk caused by death. Meanwhile, production risk management carried out by farmers in Blitar, to reduce mortality is spraying disinfectants.

scholarly journals Accessibility in Inclusive Tourism? Hotels Distributed Through Online Channels

Societies ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 34
Author(s):  
Eva Martin-Fuentes ◽  
Sara Mostafa-Shaalan ◽  
Juan Pedro Mellinas
Keyword(s):  
United Arab Emirates ◽  
Local Level ◽  
Descriptive Analysis ◽  
Distribution Channel ◽  
People With Disabilities ◽  
The United States ◽  
Travel Agency ◽  
International Studies ◽  
The Status ◽  
Accommodation Sector

There is a lack of comprehensive international studies on accommodations for people with disabilities; only small, local-level studies exist. This study aims to show the status of the tourist accommodation sector through the online distribution channel in terms of accessibility to offer more inclusive tourism. A descriptive analysis has been carried out with more than 31,000 hotels from the online travel agency Booking.com, in the 100 most touristic cities in the world. For the first time, an accurate picture of adaptation in the hotel sector for people with disabilities is presented. Results show that the adapted hotel infrastructures by countries are uneven. The main adaptations are those that help to avoid mobility barriers, and in contrast, hotels offer very few adaptations for sensory disabilities such as visual disabilities. Moreover, this study shows that, worldwide, countries with the highest income per capita, such as the United States of America, Canada, Ireland, Australia, New Zealand, Qatar or the United Arab Emirates, have the highest degree of hotel adaptation.

Supply Chain Risk Analysis: Open Source Simulator

2009 ◽  
Author(s):  
Marco Anisetti ◽  
Valerio Bellandi ◽  
Ernesto Damiani ◽  
Fulvio Frati ◽  
Gabriele Gianini ◽  
...  
Keyword(s):  
Supply Chain ◽  
Risk Analysis ◽  
Open Source ◽  
Supply Chain Risk

Analyzing the Supply Chain Network Reconfiguration under Disruption Risk Environment

2020 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Usha Mohan ◽  
S. Prasanna Venkatesan ◽  
Varthini Rajagopal ◽  
Rishabh Gaur ◽  
Shubham Jha
Keyword(s):  
Supply Chain ◽  
Network Reconfiguration ◽  
Supply Chain Network ◽  
Risk Environment ◽  
Disruption Risk

scholarly journals Hydrological Layered Dialysis Research on Supply Chain Financial Risk Prediction under Big Data Scenario

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Jia Liu ◽  
Shiyong Li ◽  
Xiaoxia Zhu
Keyword(s):  
Risk Management ◽  
Big Data ◽  
Supply Chain ◽  
Risk Analysis ◽  
Risk Prediction ◽  
Financial Institutions ◽  
Surface Runoff ◽  
Financial Risk ◽  
Supply Chain Finance ◽  
Runoff Model

In recent years, internet development provides new channels and opportunities for small- and middle-sized enterprises’ (SMEs) financing. Supply chain finance is a hot topic in theoretical and practical circles. Financial institutions transform materialized capital flows into online data under big data scenario, which provides networked, precise, and computerized financial services for SMEs in the supply chain. By drawing on the risk management theory in economics and the distributed hydrological model in hydrology, this paper presents a supply chain financial risk prediction method under big data. First, we build a “hydrological database” used for the risk analysis of supply chain financing under big data. Second, we construct the risk identification models of “water circle model,” “surface runoff model,” and “underground runoff model” and carry on the risk prediction from the overall level (water circle). Finally, we launch the supply chain financial risk analysis from breadth level (surface runoff) and depth level (underground runoff); moreover, we integrate the analysis results and make financial decisions. The results can enrich the research on risk management of supply chain finance and provide feasible and effective risk prediction methods and suggestions for financial institutions.

Value creation through expanding the online distribution channel

2020 ◽  
Vol 120 (4) ◽  
pp. 714-729
Author(s):  
Frank Wiengarten ◽  
Hugo K.S. Lam ◽  
Di Fan
Keyword(s):  
Supply Chain ◽  
Stock Market ◽  
Value Creation ◽  
Distribution Channel ◽  
Chain Process ◽  
Market Reactions ◽  
Content Type ◽  
Creation Process ◽  
Stock Market Reactions ◽  
Value Creation Process

PurposeCurrent literature provides limited insights into the supply chain contexts within which e-commerce can create higher value for firms. To address this literature gap, this research explores the value potential, and thus value creation process, of e-commerce initiatives for supply chain distribution channel expansions.Design/methodology/approachUsing secondary data collected from multiple sources, this research conducted an event study to examine the stock market reactions to the announcements of e-commerce initiatives of Chinese firms.FindingsThe results indicate that the e-commerce initiatives increase average firm value by CNY 295.29 million in a three-day window around the initiative's announcement date. Moreover, we find that such stock market reactions are more positive for firms with poor operating performance, and more negative when firms deploy initiatives on their own (rather than third-party) platforms. Further, companies that integrate or complement their online sales with an offline sales channel experience more positive stock market reactions.Originality/valueThis study provides new insights into the value creation process of e-commerce from an operation and supply chain process perspective.

scholarly journals SUPPLY CHAIN ANALYSIS IN THE DISTRIBUTION OF LEADING COMMODITY-BASED CATCHES IN PPN KEJAWANAN

2019 ◽  
Vol 11 (3) ◽  
pp. 809-816
Author(s):  
Andi Perdana Gumilang ◽  
Evi Susilawati
Keyword(s):  
Supply Chain ◽  
Descriptive Analysis ◽  
Survey Method ◽  
Supply Chain Performance ◽  
Location Quotient ◽  
Supply Chain System ◽  
Chain Analysis ◽  
Flying Fish ◽  
Business Function ◽  
Supply Chain Analysis

Indonesian Republic Law No.45 of 2009 concerning fisheries states that fishing ports have government and business function to support activities related to marketing distribution. In the activities of catch distribution, fishing ports are seen as one part of a single supply chain system. This study was aimed to determine the potential of primary caught fish that landed at PPN Kejawanan and review of supply chain performance in catch distribution activities. The research methods are survey method and in-depth interview with respondents who related to the supply chain. Data analysis was performed by analysis of Location Quotient (LQ) and descriptive analysis. The results showed that primary fish commodities had a 3 score positive growth values of LQ, which were Squid, Stringray, flying fish, and Tetengkek fish, respectively. The 3 score of LQ indicates those fish are relatively concentrated landed in PPN Kejawanan and can continue to be developed. The supply chain performance assessment showed that there was 80% of the criteria already in the supply chain. while 20% of the criteria did not yet exist. In general condition, the supply chain of fish caught by primary commodities, especially squid, is appropriate but still not optimal. 

scholarly journals ANALISIS POLA DAN RESIKO USAHA GULA AREN DI KABUPATEN REJANG LEBONG

2012 ◽  
Vol 11 (1) ◽  
pp. 1-11
Author(s):  
Felycia Tyera Kencana ◽  
Ketut Sukiyono ◽  
Bambang Sumantri
Keyword(s):  
Risk Analysis ◽  
Rainy Season ◽  
Descriptive Analysis ◽  
Simple Random Sampling ◽  
Dry Season ◽  
Risk Level ◽  
Cluster Sampling ◽  
Production Scale ◽  
Research Areas ◽  
Palm Sugar

This study is aimed at examining enterprises model and analysing risk level of Palm Sugar in Rejang Lebong Regency.  Risk Analysis involve nira harvested, nira processed, palm sugar production, and palm sugar prices received by producers.  Two-stages cluster sampling method is used to determine research areas, i.e, subdistrict of Sindang Kelingi and Selupu Rejang based on the numbers of  firms. Using similar critirea, two villages are selected, i.e, Air Meles Atas and Sindang Jati.  From those villages, then, 86 palm sugar producers are selected using Simple Random Sampling. Descriptive analysis is applied to describe entreprises model of palm sugar industries while risks is analysed using its varians, standard deviation, and minimum level of production as proposed by Maryam and Suprapti (2008).   The research shows that all palm sugar industries in this regency can be categories as home industries with average production scale of  11.58 kg per process in rainy season and 11. 54 kg in dry season. Palm sugar producers  use  their own capital to produce palm sugar and borrowed to palm sugar village merchants when they need.  From risk analysis, the study finds that palm sugar producers will face higher risk in term of nira harvested and processed, and production in dry season, except in term of price received which is higher in rainy season.  Over all, palm sugar producers will not face risk significantly both in dry and rainy season.Key words: Palm Sugar, Enterprises model, Risk analysis       

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