PhD defense of M. KAMHANGWONG Damrongpol

Date: 
Thursday 09 July 2020

M. KAMHANGWONG Damrongpol will defend his PhD Thursday July 9 at 10PM in visioconference.

Title : QUALITY, SAFETY AND SUSTAINABILITY  IN FRESH FRUIT DISTRIBUTION: A CASE STUDY OF THAI FRESH FRUIT EXPORTED TO CHINA

Jury : 

  • M Naoufel CHEIKHROUHOU, Professor, University of Applied Sciences Western Switzerland  Rapporteur
  • M. Matteo MARIO SAVINO, Associate professor, Università degli Studi del Sannio di Benevento Rapporteur
  • M. Pradorn SUREEPHONG, Associate professor, Chiang Mai University, Thailand   Examinateur
  • Mme Lilia GZARA, Associate professor (HDR), Grenoble INP    Examinateur

Supervising team :

  • M. Yacine OUZROUT, Professor, Université Lumière Lyon 2,    Directeur
  • M. Gilles NEUBERT, Professor, EM Lyon Business School,    Co-directeur
  • Mme Aicha SEKHARI, Associate professor, Université Lumière Lyon 2,   Co-encadrant

Abstract: 

Adapting the distribution of fresh fruit to meet consumers' specifications and requirements for quality, safety and sustainability while controlling costs is a complex challenge. Fruit Distribution Management ( FDM) is characterized by long- distance transportation, continuous decline in fruit quality in various form combined with significant supply, demand, and price uncertainties, and relatively thin margins. For these reasons, Fruit Distribution Management needs modern decision- making tools to be effective. The main objective of this research thesis is to propose a method for optimizing the logistics needed to export fresh fruit which takes into account the specific challenges of this kind of product. The methodology is divided into 3 phases. First, the input factors that constitute the logistics costs and determine the loss of quality due to mechanical injuries (MI) and natural decay (ND), as well as the CO2 emissions of each activity are developed. This phase is based on an extended analysis of the literature and the use of real data. We have developed a multi- objective optimization model that integrates both the distribution and inventory planning of fresh fruit ( DIP model). This model takes into account the logistics cost, the total greenhouse gas (GHG) emissions, as well as the quality loss due to MI and ND based on two models of kinetic shelf life: zero order (DIP). - ZO) and exponential decay (DIP-ED). The DIP model objective is to optimize the planning for the distribution and storage for fresh fruit. It is based on a bi objective function: maximizing the total net profit (NP) and the percentage of the remaining fruit quality (% QR). Finally, to address this issue, we have applied a Non- Dominated Sorting Genetic Algorithm II (NSGA- II).