Swarm Intelligence Optimisation Algorithms and Their Applications in a Complex Layer-Egg Supply Chain

Karan Singh, Shau Ping Lin, Frederick Kin Hing Phoa, Yun Heh Jessica Chen-Burger

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Optimising processes in a supply chain can benefit enormously all participating companies and the entire supply chain, e.g. for cost-cutting or profit raising. Traditionally, simulation-based technologies are used for such purposes. However, such methods can be expensive and under-performing when the solution space is too large to be adequately explored. Biologically inspired computing approaches such as swarm intelligence algorithms are uniquely suited to solve complex, exponential, vectorial problems, such as those posed by multi-product supply chains connected with a large and diverse customer base and transportation methods. Although swarm intelligence algorithms have been used to optimise supply chains before, there has been little work on formalising and optimising the layer-egg supply chain, or the supply chain of a perishable product—where same/similar products can be packaged to form different product offerings to seek optimised configurations for different buyers based on different pricing and cost structures. In this paper, we introduce two new Swarm Intelligence algorithms and use them to optimise the profits of participating suppliers in a real-world layer-egg supply chain using its operational data, trade network, and demand & supply models. Several swarm intelligence algorithms were discussed and their performance was compared. Through this, we aim to understand how the complex domain of real-life layer-egg supply chain may be suitably formalised and optimised in a bid to help improve and sustain layer-egg supply chain’s financial well-beings.

Original languageEnglish
Title of host publicationAgents and Multi-Agent Systems
Subtitle of host publicationTechnologies and Applications 2021
PublisherSpringer
Pages39-51
Number of pages13
ISBN (Electronic)9789811629945
ISBN (Print)9789811629938
DOIs
Publication statusPublished - 8 Jun 2021
Event15th International KES Conference on Agent and Multi-Agent Systems-Technologies and Applications 2021 - Virtual, Online
Duration: 14 Jun 202116 Jun 2021

Publication series

NameSmart Innovation, Systems and Technologies
Volume241
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference15th International KES Conference on Agent and Multi-Agent Systems-Technologies and Applications 2021
Abbreviated titleKES-AMSTA 2021
CityVirtual, Online
Period14/06/2116/06/21

Keywords

  • Artificial Intelligence
  • optimisation
  • Particle Swarm Optimisation
  • Supply Chain Management
  • Swarm Intelligence

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

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