A Framework For Designing Robust Food Supply Chains
A Framework For Designing Robust Food Supply Chains. Abm is used to simulate the upstream actor of the food supply chain and predict the uncertain food production capacity, which ro later handles. Robust optimization approach is adopted to deal with uncertainty associated with food grain supply.
In order to maintain stability of supply chain performances, it is necessary to design robust supply chains. Redesigning food supply chains to improve performance robustness using vulnerability profiling Particularly, this study focused on rice supply chain.
We Are Not Allowed To Display External Pdfs Yet.
You will be redirected to the full text document in the repository in a few seconds, if not click here.click here. Deepdyve is the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. For food grain supply chain system in indian context.
The Framework Covers Disturbances, Vulnerability Sources And Redesign Strategies.
Framework for designing robust supply chains. In order to maintain stability of supply chain performances, it is necessary to design robust supply chains. Abm is used to simulate the upstream actor of food supply chain and predict the uncertain food production capacity, which later handled by ro.
Abm Is Used To Simulate The Upstream Actor Of The Food Supply Chain And Predict The Uncertain Food Production Capacity, Which Ro Later Handles.
Robust optimization approach is adopted to deal with uncertainty associated with food grain supply. Robust supply chains should be able to continue to function well in the event of a disruption as well as in the normal business environment (see dong, 2006; After years of emphasis on leanness and responsiveness businesses are now experiencing their vulnerability to supply chain disturbances.
Particularly, This Study Focused On Rice Supply Chain.
The result shows that the framework is able to handle the uncertain rice supply chain problem, in which the actual uncertain data might be unavailable, and give the robust optimum. In this paper we present such a framework. Publisher 'springer science and business media llc' bookpart;
The Framework Supports Finding Appropriate Redesign Principles And Strategies.
We define the concept of robustness and classify supply chain disturbances, sources of food supply chain vulnerability, and adequate redesign principles and strategies to achieve robust supply chain performances. Abm is used to simulate the upstream actor of the food supply chain and predict the uncertain food production capacity, which ro later handles. Publication date january 1, 2016.
Tidak ada komentar untuk "A Framework For Designing Robust Food Supply Chains"
Posting Komentar