SCRO / Journées de l'optimisation

HEC Montréal, 29-31 mai 2023


HEC Montréal, 29 — 31 mai 2023

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SSCIII Sustainable Supply Chains III

31 mai 2023 15h40 – 17h20

Salle: BMO - CSC (vert)

Présidée par Ke Jiang

4 présentations

  • 15h40 - 16h05

    Food Security in Canada's North: a case study in Sambaa K'e

    • David Wheatley, prés., Wilfrid Laurier University

    We present our early and ongoing work on Northern food security, a pressing issue for communities in Canada’s North. Our case study is Sambaa K’e, NWT, a fly-in community of less than 100 residents that relies on a single community run store to supplement their traditional food diet. To reduce reliance on imported food, the community has built extensive gardens and greenhouses to grow fresh vegetables and crops. We explore challenges around how to use existing funding and capital to finance the gardens and store and pay for labour, how to balance the ideologies held by different stakeholders on sharing versus selling food, and ultimately what role a community run store can play in the local and regional food economy. We analyze the formal and informal supply chains that move food into the community, and examine the community’s struggle to apply for and maintain access to the Nutrition North Canada (NNC) federal food subsidy program. Sambaa K’e serves as a microcosm for the operational and logistical challenges facing remote communities throughout Canada’s North, and we explore possible solutions while supporting the community’s vision for making more food available to all those who need it.

  • 16h05 - 16h30

    Interconnection between Adaptation, Carbon dioxide removal, Geoengineering, and mitigation in Integrated Assessment Models: A Review of Current Status

    • Kamyar Amirmoeini, prés., HEC Montreal
    • Olivier Bahn, HEC Montréal
    • Pierre-Olivier Pineau, HEC Montréal

    IAMs (Integrated Assessment Models) are widely employed to evaluate the potential implications of various mitigation strategies for climate change. Yet, as the urgency of the climate change problem escalates, there is a rising acknowledgment of the significance of including adaptation, carbon Dioxide Removal (CDR), and geoengineering in IAMs. Modelling these extended elements in IAMs can provide a more comprehensive overview of the possible costs and benefits of various climate change policies. Furthermore, the interaction between these aspects of approaches and mitigation measures is complicated and interrelated, with tradeoffs and synergies that must be closely examined. Recent Integrated Assessment Models (IAMs) have expanded beyond traditional mitigation strategies and started to incorporate adaptation, Carbon Dioxide Removal (CDR), and geoengineering in their analyses. In this study, we start by providing a brief overview of IAMs and the differences between various models. We then focus on different strategies to address climate change that have emerged from recent literature. We then reflect on the critiques and provide potential ways forward to address these criticisms and improve the use of IAMs while presenting the current status of different studied IAMs in modelling adaptation, CDR, and geoengineering.

  • 16h30 - 16h55

    Multi-objective sustainable group tourist trip optimization model by considering lost capacity, tourists’ interest, and environmental pollution

    • Mansoureh Hasannia Kolaee, prés., ETS, Amirkabir University of Technology
    • Armin Jabbarzadeh, ETS
    • Mohammad Javad Mirzapour Al-e-hashem, Amirkabir

    The tourist trip design problem refers to planning and providing services for tourists to have pleasure time in their trips. In this regard, tour agencies try to suggest economic packages to the customers. In addition, tourists cause different forms of pollution such as solid waste and CO2 emissions. In this regard, we present a multi-objective group tourist design problem including three aspects of sustainability. In the first objective function, we minimize the total cost of grouping the tourists by considering the lost capacity of tours. The second objective function minimizes the environmental aspects of tours, including the carbon emissions from transportation modes, and the produced wastes. The last objective function maximizes the social aspects of tours that covers customer satisfaction not only the tourist’s interest individually to visit places, but also the fairness of interests. To show the non-dominated solutions of the proposed multi-objective group tourists trip design problem, we apply the epsilon constrain method. Due to the complexity of this problem, we develop a heuristic algorithm and compare this algorithm with the epsilon constrain method. Finally, sensitivity analyses are done to show the importance of parameters on the objective functions.

  • 16h55 - 17h20

    Blockchain-enabled market competition for green product design

    • Ke Jiang, prés., HEC Montréal
    • Georges Zaccour, HEC Montréal

    Blockchain technology is considered a promising tool for enhancing supply chain performance, however, it is imperative to conduct a thorough cost-benefit analysis before its implementation. Our study constructs a green supply chain comprising of two competitive manufacturers and one retailer that offers marginal-intensive green products (MIGPs) and development-intensive green products (DIGPs). Four blockchain adoption models are then considered in this study. We analytically find the blockchain adoption strategies of competing manufactures are contingent on different factors, such as the unit blockchain operational cost, manufacturers' unit period costs, and consumers trust, as well as consumers' sensitivity towards the greenness and prices of products. Our results reveal that blockchain adoption can lead to higher levels of greenness and more favorable pricing strategies for supply chain members. MIGPs benefits the greatest by efficiency improvements from unilateral blockchain adoption, particularly in the context of low adoption costs, increased greenness competition, and decreased price competition. For DIGPs, efficiency improvements are maximized through unilateral blockchain adoption when greenness and price competition, as well as adoption costs declined. Optimal efficiency improvements for the retailer are attained through a reduction in green competition, an increase in price competition, and the adoption of blockchain by both MIGPs and DIGPs.