TY - JOUR
T1 - Designing a new mathematical model for optimising a multi-product RFID-based closed-loop food supply chain with a green entrepreneurial orientation
AU - Jahanshahee Nezhad, Farshid
AU - Taghizadeh-Yazdi, Mohammadreza
AU - Heidary Dahooie, Jalil
AU - Zamani Babgohari, Ali
AU - Sajadi, Seyed Mojtaba
PY - 2022/6/8
Y1 - 2022/6/8
N2 - Purpose: Environmental 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/approach: Based 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. Findings: The 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/value: The 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.
AB - Purpose: Environmental 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/approach: Based 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. Findings: The 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/value: The 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.
KW - Closed-loop supply chain
KW - Entrepreneurial orientation
KW - Food industry
KW - Green supply chain
KW - Mathematical model
KW - RFID technology
UR - https://www.emerald.com/insight/content/doi/10.1108/BFJ-06-2021-0670/full/html
UR - http://www.scopus.com/inward/record.url?scp=85117040018&partnerID=8YFLogxK
U2 - 10.1108/BFJ-06-2021-0670
DO - 10.1108/BFJ-06-2021-0670
M3 - Article
AN - SCOPUS:85117040018
SN - 0007-070X
VL - 124
SP - 2114
EP - 2148
JO - British Food Journal
JF - British Food Journal
IS - 7
ER -