Biorefinery Supply Chain Network Design under Competitive Feedstock Markets: An Agent-Based Simulation and Optimization Approach

2014 ◽  
Vol 53 (39) ◽  
pp. 15111-15126 ◽  
Author(s):  
Akansha Singh ◽  
Yunfei Chu ◽  
Fengqi You
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Optimization Approach ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Simulation And Optimization

Multi-objective fuzzy robust optimization approach to sustainable closed-loop supply chain network design

2020 ◽  
Vol 148 ◽  
pp. 106716 ◽  
Author(s):  
Sina Nayeri ◽  
Mohammad Mahdi Paydar ◽  
Ebarhim Asadi-Gangraj ◽  
Saeed Emami
Keyword(s):  
Supply Chain ◽  
Robust Optimization ◽  
Network Design ◽  
Closed Loop ◽  
Optimization Approach ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Closed Loop Supply Chain ◽  
Multi Objective

Closed-loop supply chain network design and modelling under risks and demand uncertainty: an integrated robust optimization approach

2018 ◽  
Vol 290 (1-2) ◽  
pp. 837-864 ◽  
Author(s):  
Surya Prakash ◽  
Sameer Kumar ◽  
Gunjan Soni ◽  
Vipul Jain ◽  
Ajay Pal Singh Rathore
Keyword(s):  
Supply Chain ◽  
Robust Optimization ◽  
Network Design ◽  
Demand Uncertainty ◽  
Closed Loop ◽  
Optimization Approach ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Closed Loop Supply Chain

scholarly journals A Simulation-based Optimization Approach to Logistic and Supply Chain Network Design

2021 ◽  
Vol 28 (97) ◽  
pp. 284-318
Author(s):  
Michael C. Jones ◽  
Thomas A. Mazzuchi ◽  
Shahram Sarkani
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Network Design ◽  
Network Design Problem ◽  
Optimization Approach ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Wide Range ◽  
Simulation Based ◽  
Simulation Based Optimization

The Department of Defense (DoD) operates a world-wide supply chain, which in 2017 contained nearly 5 million items collectively valued at over $90 billion. Since at least 1990, designing and operating this supply chain, and adapting it to ever-changing military requirements, are highly complex and tightly coupled problems, which the highest levels of DoD recognize as weaknesses. Military supply chains face a wide range of challenges. Decisions made at the operational and tactical levels of logistics can alter the effectiveness of decisions made at the strategic level. Decisions must be made with incomplete information. As a result, practical solutions must simultaneously incorporate decisions made at all levels as well as take into account the uncertainty faced by the logistician. The design of modern military supply chains, particularly for large networks where many values are not known precisely, is recognized as too complex for many techniques found in the academic literature. Much of the literature in supply chain network design makes simplifying assumptions, such as constant per-unit transportation costs regardless of the size of the shipment, the shipping mode selected, the time available for the delivery, or the route taken. This article avoids these assumptions to provide an approach the practitioner can use when designing and adapting supply chain networks. This research proposes a simulation-based optimization approach to find a near-optimal solution to a large supply chain network design problem of the scale faced by a theater commander, while recognizing the complexity and uncertainty that the practicing military logistician must deal with.

Supply Chain Network Design with Dynamic Sourcing

2011 ◽  
Author(s):  
Ho-Yin Mak ◽  
Zuo-Jun Max Shen
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Supply Chain Network Design ◽  
Supply Chain Network
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