Modeling supply chain network for a poultry industry in Oman: A case study

Ahmed Al-Harrasi, Mohammed Al-Ajmi, Mohammed Al-Shidhani, Muktar Ambu-Saidi, Mohammad Khadem*, Ahm Shamsuzzoha, Sujan Piya

*Corresponding author for this work

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

Abstract

Supply chain management is an asset to every industry globally due to its positive outcomes such as faster response time, reduction of unwanted inventory and lower sales costs with enhanced customer service. It is therefore important to focus on improving the supply chain network of any industry. The objective of this research study is to model a supply chain network for poultry Industry in Oman. The study analyzes the existing supply chain network within a poultry industry and recommended its improvement based on the identified factors while giving more emphasis on the routing and distribution network aspects of supply chain. The recommendation, in the form of optimization model, is verified and validated using Lingo optimization software. Also, heuristic method is proposed and tested to overcome the complexity of optimization model.

Original languageEnglish
Title of host publication7th Annual Conference on Industrial Engineering and Operations Management, IEOM 2017
PublisherIEOM Society
Pages2282-2288
Number of pages7
ISBN (Print)9780985549763
Publication statusPublished - 2017
Event7th Annual Conference on Industrial Engineering and Operations Management, IEOM 2017 - Rabat, Morocco
Duration: Apr 11 2017Apr 13 2017

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management
ISSN (Electronic)2169-8767

Other

Other7th Annual Conference on Industrial Engineering and Operations Management, IEOM 2017
Country/TerritoryMorocco
CityRabat
Period4/11/174/13/17

Keywords

  • Case study
  • Oman
  • Routing
  • Supply and distribution network

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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