An Internet of Things Embedded Sustainable Supply Chain Management of B2B E-Commerce

Dhirendra Prajapati, Felix T. S. Chan, H. Chelladurai, Lakshay Lakshay and Saurabh Pratap
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Dhirendra Prajapati: Department of Mechanical Engineering, Indian Institute of Information Technology, Design and Manufacturing, Jabalpur 482005, India
Felix T. S. Chan: Department of Decision Sciences, Macau University of Science and Technology, Taipa, Macao
H. Chelladurai: Department of Mechanical Engineering, Indian Institute of Information Technology, Design and Manufacturing, Jabalpur 482005, India
Lakshay Lakshay: Department of Mechanical Engineering, Indian Institute of Information Technology (BHU), Varanasi 221005, India
Saurabh Pratap: Department of Mechanical Engineering, Indian Institute of Information Technology (BHU), Varanasi 221005, India

Sustainability, 2022, vol. 14, issue 9, 1-14

Abstract: Adopting digital technologies in a business can help with sustainable supply chain management. These technologies can make e-commerce development faster and empower the emergence of B2B e-commerce businesses. In this study, our focus was to develop a framework for an Internet of things (IoT) embedded sustainable supply chain to deliver textile items using a B2B e-commerce business model. We formulated a mixed-integer non-linear programming (MINLP) model to minimize the total supply chain cost, including the B2B orders’ packaging, handling, and transportation, with carbon emission taxation. Furthermore, the purchasing cost of the RFID tags and IoT facilities that were provided on the transport vehicles was high. The proposed model was solved by using the global solver in the LINGO software package and finding the optimized value of the total supply chain network cost. We tested the proposed model in different case scenarios, i.e., small- to significant-sized problems. Then, a sensitivity analysis was performed to observe the variations in the overall cost of the supply chain network when there were changes in the main parameters of the proposed model. The results of the models showed that models can be helpful for efficient logistics planning and supply chain design.

Keywords: digital technologies; sustainable supply chain; Internet of things (IoT); e-commerce; logistics; textile products (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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