Development of a hybrid fresh food supply chain risk assessment model

2016 ◽  
Vol 55 (14) ◽  
pp. 4180-4195 ◽  
Author(s):  
Dilupa Nakandala ◽  
Henry Lau ◽  
Li Zhao
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Food Supply ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Supply Chain Risk ◽  
Food Supply Chain ◽  
Fresh Food

Evaluation of Electronic Products OEM Industry Supply Chain Risk Based on Fuzzy Influence Diagram

2013 ◽  
Vol 380-384 ◽  
pp. 4740-4744
Author(s):  
Xiao Feng Zhou ◽  
Hong Lv ◽  
Shi Wei Xu
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Model Evaluation ◽  
Assessment Model ◽  
Influence Diagram ◽  
Risk Assessment Model ◽  
Supply Chain Risk ◽  
Diagram Method ◽  
Electronic Products

The method of fuzzy influence diagram is a very effective way when assessing the supply chain risk of electronic products foundries. Firstly, this paper puts forward a idea that using the fuzzy influence diagram method to assess the supply chain risk of electronic products OEM industry. Then construct a supply chain risk assessment model of electronic products OEM industry which is based on fuzzy influence diagram. Through the two points, we can determine how much the probability of risk events and the damage is. Except that, this paper also introduces the steps of model evaluation briefly.

scholarly journals PENGEMBANGAN MODEL PENGUKURAN KINERJA AGRI- FOOD SUPPLY CHAIN BERKELANJUTAN BERBASIS PENGELOLAAN RISIKO

2018 ◽  
Vol 3 (2) ◽  
pp. 32
Author(s):  
Anggriani Profita ◽  
Deasy Kartika Rahayu
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Food Supply ◽  
Convergent Validity ◽  
Structural Equation ◽  
Equation Modeling ◽  
Supply Chain Risk ◽  
Food Supply Chain ◽  
Inner Model ◽  
Composite Reliability

Risiko dan ketidakpastian selalu menjadi isu penting dalam pengelolaan rantai pasok. Khususnya dalam agri- food supply chain (AFSC), kompleksitas pengelolaan risiko dan ketidakpastian meningkat karena karakteristik produk hasil pertanian yang mudah rusak, serta sifat produksinya yang sebagian besar didasarkan pada faktor cuaca dan proses biologi yang tidak terduga. Oleh karena itu, diperlukan upaya pengelolaan risiko yang menyajikan penilaian terhadap faktor-faktor yang dapat melemahkan daya saing dan kinerja AFSC. Penelitian ini mengintegrasikan kerangka pengukuran kinerja AFSC dan konsep Rapid Agricultural Supply Chain Risk Assessment, dengan memperhatikan aspek-aspek berkelanjutan yang meliputi aspek ekonomi (profit), sosial (people), dan lingkungan (planet). Kerangka teoritis yang dihasilkan diuji menggunakan Structural Equation Modeling (SEM). Kuesioner diberikan kepada 193 petani tanaman pangan yang tersebar di sentra- sentra pertanian Kabupaten Paser dan PPU. Berdasarkan analisis model konstruk (outer model), seluruh indikator memenuhi convergent validity, kecuali indikator PR12 yang berkaitan dengan risiko regulasi hukum dan birokrasi. Oleh karena itu, indikator ini dikeluarkan dari konstruk model penelitian. Setelah semua indikator tervalidasi, selanjutnya dilakukan uji reliabilitas dengan melihat nilai composite reliability dari blok indikator yang mengukur setiap konstruk. Seluruh konstruk memiliki nilai di atas 0.7, sehingga semuanya dapat dikatakan reliabel. Adapun berdasarkan analisis model struktural (inner model), dapat disimpulkan bahwa pengelolaan risiko berpengaruh signifikan terhadap kinerja AFSC dan perspektif berkelanjutan. Akan tetapi, variabel perspektif berkelanjutan tidak berpengaruh signifikan terhadap kinerja AFSC.

Supply Chain Risk Evaluation Based on Bayesian Network

2013 ◽  
Vol 680 ◽  
pp. 550-553
Author(s):  
Bo Chao Liu
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Bayesian Network ◽  
Risk Evaluation ◽  
Evaluation Model ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Supply Chain Risk ◽  
Logistics Company ◽  
Proposed Model

The evaluation for supply chain risk is very important to show the latent risk and eliminate the risk. In the study, Bayesian network is proposed to evaluate the supply chain risk. The assessment indexes of supply chain risk are analyzed before supply chain risk assessment. Then, the assessment indexes of supply chain risk can be used to construct the supply chain risk assessment model. We apply a certain logistics company to study the evaluation ability of Bayesian network evaluation model proposed here. The experimental results prove the effectiveness of the proposed model.

A reliable decision support system for fresh food supply chain management

2017 ◽  
Vol 56 (4) ◽  
pp. 1458-1485 ◽  
Author(s):  
Gabriella Dellino ◽  
Teresa Laudadio ◽  
Renato Mari ◽  
Nicola Mastronardi ◽  
Carlo Meloni
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Supply Chain Management ◽  
Decision Support System ◽  
Support System ◽  
Food Supply ◽  
Food Supply Chain ◽  
Chain Management ◽  
Fresh Food
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