Stochastic Modelling Frameworks for Dragon Fruit Supply Chains in Vietnam under Uncertain Factors

Tri-Dung Nguyen, Uday Venkatadri, Tri Nguyen-Quang (), Claver Diallo, Duc-Huy Pham, Huu-Thanh Phan, Le-Khai Pham, Phu-Cuong Nguyen and Michelle Adams
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Tri-Dung Nguyen: Department of Industrial Engineering, Dalhousie University, Halifax, NS B3H 4R2, Canada
Uday Venkatadri: Department of Industrial Engineering, Dalhousie University, Halifax, NS B3H 4R2, Canada
Tri Nguyen-Quang: Biofluids and Biosystems Modeling Laboratory (BBML), Department of Engineering, Faculty of Agriculture, Dalhousie University, Truro, NS B2N 5E3, Canada
Claver Diallo: Department of Industrial Engineering, Dalhousie University, Halifax, NS B3H 4R2, Canada
Duc-Huy Pham: Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC 27695-7906, USA
Huu-Thanh Phan: Postgraduate Studies Office, Ho Chi Minh City University of Technology (VNU-HCMC), Ho Chi Minh City 740030, Vietnam
Le-Khai Pham: Postgraduate Studies Office, Ho Chi Minh City University of Technology (VNU-HCMC), Ho Chi Minh City 740030, Vietnam
Phu-Cuong Nguyen: Faculty of Computer Science, Dalhousie University, Halifax, NS B3H 1W5, Canada
Michelle Adams: School for Resource and Environmental Studies, Dalhousie University, Halifax, NS B3H 4R2, Canada

Sustainability, 2024, vol. 16, issue 6, 1-29

Abstract: Managing uncertainties and risks is always a difficult but fascinating task in fresh fruit supply chains, especially when dealing with the strategy for the production and conveyance of fresh fruit in Vietnam. Following the COVID-19 outbreak, the confluence of economic recession and persistent adverse weather conditions has exacerbated challenges faced by dragon fruit cultivators. This research investigates a two-stage stochastic programming (TSSP) approach which is developed and served as a valuable tool for analyzing uncertainties, optimizing operations, and managing risks in the fresh fruit industry, ultimately contributing to the sustainability and resilience of supply chains in the agricultural sector. A prototype is provided to illustrate the complex and dynamic nature of dragon fruit cultivation and consumption in Vietnam. Data on the selling prices of dragon fruit were collected from several sources between 2013 and 2022 in Binh Thuan Province, Vietnam. The results were obtained from the model by using three different approaches in order of their versatility and efficacy: (1) Scenario tree generation; (2) Sample average approximation; (3) Chance-constrained programming.

Keywords: dragon fruit (DF); two-stage stochastic problem; scenario tree generation; sample average approximation; chance-constrained programming (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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