The Impact of Routing on CO2 Emissions at a Retail Grocery Store Chain: A GIS-Based Solution Approach

Çağrı Koç (), Mehmet Erbaş and Eren Özceylan
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Çağrı Koç: Social Sciences University of Ankara
Mehmet Erbaş: Ministry of National Defense
Eren Özceylan: Gaziantep University

A chapter in Lean and Green Supply Chain Management, 2019, pp 143-160 from Springer

Abstract: Abstract With a world-wide increasing concern for the environment, logistics service providers and freight carriers should be in need of paying more attention to the CO2 emissions of their operations. This paper investigates the combined impact of multi-trip, fleet composition and vehicle routing decisions on CO2 emissions and fuel consumptions at one of the major retail grocery store chain. The objective is to minimize the total routing cost which can be defined with respect to the cost of fuel consumption and CO2 emissions. The CO2 emissions are proportional to the amount of fuel consumed by the fleet which depends on several parameters. A GIS-based solution approach, uses a tabu search heuristic, applied to a real dataset of the supermarket store chain operates in Turkey. The paper sheds light on the trade-offs between various performance indicators such as number of vehicles and shop demand. Several managerial and policy insights are also presented.

Keywords: Shopper Demand; Fleet Composition; Vehicle Routing Decisions; Fuel Consumption; Policy Insights (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-319-97511-5_5

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DOI: 10.1007/978-3-319-97511-5_5

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