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Coordinating Biomass Supply Chains for Remote Communities: A Comparative Analysis of Non-cooperative and Cooperative Scenarios

Title:

Coordinating Biomass Supply Chains for Remote Communities: A Comparative Analysis of Non-cooperative and Cooperative Scenarios

Mafakheri, Fereshteh ORCID: https://orcid.org/0000-0002-7991-4635, Adebanjo, Dotun and Genus, Audley (2020) Coordinating Biomass Supply Chains for Remote Communities: A Comparative Analysis of Non-cooperative and Cooperative Scenarios. International Journal of Production Research .

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Official URL: https://doi.org/10.1080/00207543.2020.1767312

Abstract

The absence of economies of scale is a major barrier in use of renewable energy sources in small and dispersed off-grid remote communities. For example, in northern Canada, diesel is currently the main source of electricity and heat generation. Coordination of biomass supply chains could play a key role in improving the cost efficiency and reliability of bioenergy generation through bundled ordering and creation of storage hubs. In this study, a supply chain management model with multiple suppliers and multiple end-user communities is formulated. The proposed model enables us to analyze and compare the outcomes of adopting a cooperative coordination strategy (with a joint pay-off for communities) versus a non-cooperative coordination strategy (with individual payoffs for communities). Other peculiar attributes of the proposed model rest in the addressing of restricted ordering schedules and quantities (due to unavailability of pathways) by advocating nonlinear ordering and distribution costs (to incorporate quantity discounts) achieved through coordinated and/or collective inventories. A real biomass supply chain case study of three northernmost Nunavik communities in Quebec is considered to show the applicability of the model and provide insights for uptake of bioenergy sources in remote off-grid communities.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Concordia Institute for Information Systems Engineering
Item Type:Article
Refereed:Yes
Authors:Mafakheri, Fereshteh and Adebanjo, Dotun and Genus, Audley
Journal or Publication:International Journal of Production Research
Date:28 May 2020
Funders:
  • Natural Sciences and Engineering Research Council (NSERC) of Canada
Digital Object Identifier (DOI):10.1080/00207543.2020.1767312
Keywords:Bioenergy; supply chain coordination; optimization; scheduling; logistics; remote communities
ID Code:987758
Deposited By: FERESHTEH MAFAKHERI
Deposited On:02 Feb 2021 22:18
Last Modified:04 May 2021 01:00
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