Sustainable distribution system in food retail sector-a simulation modelling approach

SAAD, SM, BAHADORI, Ramin and RAVISANKAR, J (2017). Sustainable distribution system in food retail sector-a simulation modelling approach. In: BRUZZONE, A, LONGO, F, PIERA, M A and VIGNALI, G, (eds.) International Food Operations and Processing Simulation Workshop (FoodOPS 2017). Curran Associates, 45-50.

[img] PDF
Saad-Bahadori Sustainable distribution system in food retail sector.pdf - Accepted Version
Restricted to Repository staff only
All rights reserved.

Download (443kB)
Official URL: http://www.proceedings.com/36082.html
Related URLs:

Abstract

Nowadays, sustainability has become one of the most important topics in supply chain management which is received more global attention. Within food retail supply chain, downstream distribution system has a significant effect on environmental performance. The aim of this research is to model sustainable distribution system in food retail supply chain through two variables; Greenfield service constraints and fleet types which enables practitioners to make decision about the optimal number and location of distribution facilities and optimal types of fleet to minimise the CO2 emission and transportation cost, maximise responsiveness and determine the optimal number of required transportation asset to meet customers demand. Through understanding the mathematical equations governing the problem of CO2 emission, transportation cost and transportation time; multiple scenarios through a hypothetical two-stage food supply chain are created and validated using Supply Chain GURU Software. Experimental factorial design and statistical techniques are used to generate and analyse the results.

Item Type: Book Section
Page Range: 45-50
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 13 Dec 2019 12:45
Last Modified: 12 Oct 2023 10:16
URI: https://shura.shu.ac.uk/id/eprint/24958

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics