However, at their best, the GWO was able to establish supply chain sites with costs that were within 0.01% of the exact optimization model while the WOA’s costs were within 0.07% of the exact optimization model. There was some variability in the performance of the heuristics, depending on the specific supply chain challenge used in each test. The researchers were surprised at how well the heuristics worked. All three tools account for many variables that influence cost, such as transportation distance and real estate and construction costs. The heuristics and the exact optimization model were all designed to find the best sites for every point in a supply chain, and then determine the cost of putting that supply chain in place. The researchers tested the heuristics against the exact optimization model for 15 different problems, reflecting a range of multilevel supply chain challenges. They compared these two heuristics, which are called the Grey Wolf Optimizer (GWO) and the Whale Optimization Algorithm (WOA), against a computational model capable of finding the exact optimal solution. Specifically, the researchers wanted to test the performance of two well-established heuristics, which are algorithm “shortcuts” capable of providing a good – but not necessarily optimal – answer to a complex problem quickly. So we wanted to see how well more computationally efficient tools might perform, and whether they could be a suitable replacement for use in making supply chain management decisions.” “While there are models that allow us to identify the exact optimal solution for where each point in the supply chain should be located, those models are computationally demanding. These multi-level supply chains are extremely complex, and the location of every point in the supply chain has significant ramifications in terms of cost, transportation time, and so on. These supply chains involve multiple manufacturing facilities, as well as many more distribution sites where consumers can both buy the products and return them for recycling or reuse. “We looked at supply chains where elements of their products can be reused – such as printing technologies that reuse printer cartridges. Fitts Department of Industrial and Systems Engineering. “Our work focuses on supply chains that improve economic and environmental performance by embracing sustainability,” says Amir Sadeghi, first author of the study and a Ph.D. New research from North Carolina State University shows that efficient mathematical tools serve almost as well as more computationally demanding optimization models for determining the best places to locate elements in a supply chain, and can provide businesses with the relevant information far more quickly. But be patient as posts will appear after passing our moderation.Matt Shipman chain networks can be incredibly complex, with multiple manufacturing and distribution points – and the location of each node in those networks has a significant effect on everything from profitability to product cost to environmental impact. Depending on the number of messages we receive, you could wait up to 24 hours for your message to appear. Questions will be queued for posting immediately after moderationģ. Answers to questions will be posted immediately after moderationĢ. Read the community guidelines MathsGee Questions & Answers Rulesġ. Posting on the MathsGee Questions & AnswersĤ. Join expert live video sessions (Paid/Free)Ĩ. On the MathsGee Questions & Answers, you can:ĥ. We use a combination of generative AI and human experts to provide you the best solutions to your problems. Join MathsGee Questions & Answers, where you get instant answers to your questions from our AI, GaussTheBot and verified by human experts.
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