Are human jobs at risk with supply chain automation?

2020 ◽  
pp. 221-224
Author(s):  
Stuart M. Rosenberg
Keyword(s):  
At Risk ◽  
Supply Chain

Worst Expected Best method for assessment of probabilistic network expected value at risk: application in supply chain risk management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abroon Qazi ◽  
Mecit Can Emre Simsekler
Keyword(s):  
At Risk ◽  
Risk Management ◽  
Supply Chain ◽  
Confidence Level ◽  
Value At Risk ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Content Type ◽  
Probabilistic Network ◽  
Risk Appetite

PurposeThe purpose of this paper is to develop and operationalize a process for prioritizing supply chain risks that is capable of capturing the value at risk (VaR), the maximum loss expected at a given confidence level for a specified timeframe associated with risks within a network setting.Design/methodology/approachThe proposed “Worst Expected Best” method is theoretically grounded in the framework of Bayesian Belief Networks (BBNs), which is considered an effective technique for modeling interdependency across uncertain variables. An algorithm is developed to operationalize the proposed method, which is demonstrated using a simulation model.FindingsPoint estimate-based methods used for aggregating the network expected loss for a given supply chain risk network are unable to project the realistic risk exposure associated with a supply chain. The proposed method helps in establishing the expected network-wide loss for a given confidence level. The vulnerability and resilience-based risk prioritization schemes for the model considered in this paper have a very weak correlation.Originality/valueThis paper introduces a new “Worst Expected Best” method to the literature on supply chain risk management that helps in assessing the probabilistic network expected VaR for a given supply chain risk network. Further, new risk metrics are proposed to prioritize risks relative to a specific VaR that reflects the decision-maker's risk appetite.

Wholesale Price for Supply Chain Coordination via Conditional Value-at-Risk Minimization

2010 ◽  
Vol 20-23 ◽  
pp. 88-93 ◽  
Author(s):  
Chuan Xu Wang
Keyword(s):  
At Risk ◽  
Supply Chain ◽  
Value At Risk ◽  
Supply Chain Coordination ◽  
Wholesale Price ◽  
Conditional Value At Risk ◽  
Optimal Order ◽  
Individual Member ◽  
Risk Minimization ◽  
Proposed Model

The theory of the conditional value-at-risk (CVaR) in financial risk management is considered in this paper to develop a model of supply chain coordination with a wholesale pricing policy. The proposed model solves the drawbacks of objective function in current supply chain coordination model. A numerical example is given to demonstrate the effectiveness of the proposed model. The following helpful conclusions are drawn from the paper: with the increase of the degree of risk averting for supply chain individual member, the optimal order quantity of supply chain is decreasing, while the optimal profit is decreasing; If supplier’s risk averting degree increases, supplier has to increase wholesale price to achieve supply chain coordination; If retailer’s risk averting degree increases, supplier has to decrease wholesale price to achieve supply chain coordination.

scholarly journals PENGUKURAN RISIKO KEAMANAN PANGAN PADA SISTEM RANTAI PASOK IKAN SEGAR

2018 ◽  
Vol 13 (1) ◽  
pp. 37 ◽  
Author(s):  
Hana Catur Wahyuni ◽  
Wiwik Sumarmi
Keyword(s):  
At Risk ◽  
Supply Chain ◽  
Food Security ◽  
Food Safety ◽  
Failure Mode ◽  
Effect Analysis ◽  
Mode Effect ◽  
Fish Marketing ◽  
Failure Mode Effect Analysis ◽  
The Way

AbstrakTerjadinya berbagai macam penyakit yang bersumber dari makanan menyebabkan masyarakat semakin  sadar akan pentingnya mengkonsumsi makanan yang aman. Pengelolaan keamanan pangan harus dilakukan secara terintegrasi di sepanjang rantai pasok, agar tidak terjadi perubahan status pangan dari aman menjadi tidak aman. Oleh karena itu, untuk mengantisipasi perubahan tersebut, maka perlu dilakukan analisa risiko keamanan pangan pada rantai pasok agar dapat dirumuskan langkah- langkah strategis untuk meminimalisir risiko yang terjadi. Penelitian ini bertujuan untuk (1) melakukan identifikasi kegiatan-kegiatan pada rantai pasok yang mengandung risiko terhadap keamanan pangan, (2)  melakukan pengukuran risiko keamanan pangan  yang terjadi pada rantai pasok pangan, (3) mengetahui kegiatan pada rantai pasok yang paling berisiko terhadap keamanan pangan. Obyek penelitian yang digunakan adalah rantai pasok ikan segar di wilayah Kab Sidoarjo. Pengolahan data dilakukan dengan menggunakan metode risk FMEA (Failure Mode Effect Analysis). Hasil penelitian menunjukkan bahwa terdapat 11 kegiatan yang berisiko pada sistem keamanan pangan, yaitu: (1) pemberian makanan pada ikan; (2) pengelolan sistem kebersihan kolam/ tambak; (3) proses memanen ikan; (4) cara pemilahan ikan; (5) cara penyimpanan ikan; (6) cara pemasaran ikan; (7) jenis kendaran yng digunakan untuk pengiriman ikan; (8) cara penyimpanan saat pengiriman ikan; (9) cara memindahkan ikan; (10) cara penangganan ikan yang tidak terjual; (11) cara penangganan ikan tidak layak jual. Dari 11 kegiatan berisiko tersebut, skor resiko tertinggi terdapat pada cara penyimpanan ikan, cara pemasaran ikan, jenis kendaraan yang digunakan untuk pengiriman ikan dan cara pengemasan ikan pada saat distribusi.  AbstractThe occurrence of various diseases that are sourced from food cause the public increasingly aware of the importance of consuming safe foods. Food safety management must be integrated throughout the supply chain, in order to avoid the change of food status from safe to unsafe. Therefore, to anticipate the change, it is necessary to analyze food security risk in supply chain in order to formulate strategic steps to minimize the risk that happened. This research aims to (1) identify activities in supply chains that contain risks to food security, (2) measuring food safety risks that occur in the food supply chain, (3) to know the activities in the supply chain that are most at risk to food security. The research object used is fresh fish supply chain in Sidoarjo regency. Data processing is done by using risk method FMEA (Failure Mode Effect Analysis). The results show that there are 11 activities that are at risk to food safety system, namely: (1) feeding on fish; (2) management of pond cleanliness system; (3) the process of harvesting fish; (4) how to sort fish; (5) how to store fish; (6) how to fish marketing; (7) type of vehicle used for fish delivery; (8) how to store when shipping fish; (9) how to move fish; (10) unsubscriptions of unsold fish; (11) the way a fish subscription is not worth selling. Of the 11 risk activities, the highest risk score is in the way of fish storage, the way of fish marketing, the type of vehicle used for fish delivery and the way of fish packaging at the time of distribution. Keyword: Shain Supply; Safety Food; FMEA; Fish; Risk

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