Sustainable network design for a non-profit food bank supply chain with a heterogeneous fleet under uncertainty. (September 2022)

• Record Type: Journal Article
• Authors: Kaviyani-Charati, Mohammad; Ameli, Mariam; Heidarzadeh Souraki, Fatemeh; Jabbarzadeh, Armin
• Is Part Of: Computers & industrial engineering. Volume 171(2022)
• Publication Date: 2022-09
• Subjects: Non-profit Food Bank Supply Chain Network Design -- Food Insecurity -- Cold Chain Transportation -- Heterogeneous Fleet -- Sustainability -- Two-stage Stochastic Program; ND Network design -- FSC Food supply chain -- GHG Greenhouse gas -- BOTSSP Bi-objective two-stage stochastic programming -- GP Goal programming -- PSO Particle Swarm Optimization -- MOMM Multi-objective Mathematical Modelling -- DP Dynamic programming -- TSSPM Two-stage stochastic programming model -- AGA Adaptive genetic algorithm -- RPs Routing problems -- SC Supply chain -- HTSA Hybrid two-stage approach -- MOHA Multi-objective hybrid approach -- MMWM Minimax and weighted method -- GA Genetic algorithm -- LCA Life cycle assessment -- HGSA Hybrid genetic and simulated annealing -- ILS Iterated Local Search -- BLPM Bi-level programming model; Engineering -- Data processing -- Periodicals; Industrial engineering -- Periodicals; 620.00285
• DOI: 10.1016/j.cie.2022.108442
• Languages: English
• ISSNs: 0360-8352

Abstract

Highlights: A mathematical model is developed to design a non-profit food-bank supply chain. Sustainability factors are considered in the presented multi-objective model. Both cold and conventional facilities and fleet are deemed to tackle all food types. Many uncertain parameters and time limitations are considered as well. The novel proposed model is applied to a real-life case study in Tehran. Abstract: Starvation and food insecurity are on an upward trajectory as the world population and food prices increase. Food insecurity continues to create life-threatening health concerns while a significant amount of food is wasted due to the ineffective management of food supply chains including inappropriate storage and transportation activities. To save surplus food, reduce food waste, and improve food security, this paper presents a multi-objective, multi-period, and multi-product mathematical model for a non-profit food bank supply chain considering cold chain transportation and storage facilities, heterogeneous fleet, and time limitations. In this research for the first time a three-objective two-stage stochastic program is developed in the non-profit food bank supply chain including 1) minimizing costs of food collection, storage, distribution or transportation, and food banks establishment, 2) minimizing carbon emissions of food waste and transportation as well as incrementing carbon emissions saving through preserving surplus food and 3) optimizing social performance including demand satisfaction, job creation, and unpleasant odor of food waste. Two solution approaches, namely NSGA-II and augmented ε -constraint are employed and compared for small, medium, and large-scale problems. The parameters of the meta-heuristic algorithm are tuned using the Taguchi approach. Then the proposed model is utilized to tackle a real-life case study and the results indicate its efficiency. In addition, the results reveal that applying a heterogeneous fleet is necessary to reduce food waste and transportation costs where cold chain transportation and refrigerated fleets have significantly had direct and positive effects on demand satisfaction and food waste rate.