Designing a new mathematical model for optimising a multi-product RFID-based closed-loop food supply chain with a green entrepreneurial orientation

Abstract

PurposeEnvironmental awareness is increasing among people in developing countries. In this regard, companies should consider ecological goals in addition to financial goals. Since the food industry is recognised as one of the largest emitters of CO2, profit and ecological objectives are optimised in radio-frequency identification (RFID) based closed-loop supply chain in the food industry in this paper.Design/methodology/approachBased on the literature, companies with a green entrepreneurial orientation (GEO) can turn ecological problems into opportunities using their proactiveness. In this regard, a new mixed-integer non-linear mathematical model is presented for optimising a new multi-product RFID-based closed-loop supply chain with a GEO in the food industry. The case study in this paper is Ofogh-e Kourosh company which is located in Iran. The GAMS software is used to code this model.FindingsThe optimum number of new products and materials flow was found among the closed-loop supply chain entities. Some factors as price, quality and warranty of products were considered, and the number of reopening of facilities if needed was set. The optimum node for RFID installation was found.Originality/valueThe paper presents a multi-objective mathematical model for optimising a multi-product RFID-based closed-loop supply chain with a GEO in the food industry. In addition, this paper gives insights into how can model this type of supply chain considering ecological and financial attributes.

Knowledge management capability, entrepreneurial creativity, entrepreneurial intensity and firm performance: the mediating role of ambidexterity

“…, 2017). Building close relationships with the various actors that exist in the food industry value chain is essential to improving the commercial success of products (Costa and Jongen, 2006; Jahanshahee Nezhad et al. , 2021; Heidary Dahooie et al.…”

Does an Alternative Local Food Network Contribute to Improving Sustainable Food Security?

“…Optimization model development has been carried out using various optimization methods. Several scholars used multi-objective linear programming (MOLP), mixed-integer linear programming (MILP), the multi-objective cross entropy (CE) algorithm, multi-period mixed-integer non-linear programming (MINLP), and the stochastic optimization model to achieve their research goals [23][24][25][26][27][28][29][30][31]50].…”

“…The distribution strategy is also one of the steps to improve inventory management efficiency, especially for staple foods such as food grains [25]. Distribution efficiency also reduces the negative impact on the environment and is an effort to improve the local economy [26][27][28][29]. Developing local food networks is also intended as a strategy to overcome a country's dependence on imports and pay economic attention to aspects of local food sustainability [30,31].…”

“…The articles related to the development of the local food network above are analyzed using mathematical models, such as multi-objective linear programming (MOLP) [23], a multi-objective formulation (MOF) and a solution approach based on simulation [24,30], multi-period mixed-integer non-linear programming (MINLP) [25][26][27], a mixed-integer linear programming (MILP) model [28], and a stochastics optimization model [29,31]. In short, within the broader scope of the local food networks, several studies have addressed the issue of the three pillars of sustainability in the food supply network using MOLP.…”