Supply Chain Reconfiguration for a New Product Development with Risk Management Approach

Abstract

Nowadays, innovation is increasingly growing and the lifetime of products is decreasing. In this situation, New Product Development (NPD) is an advantage that makes it possible to survive in the competitive market. However, risks are unavoidable in NPD in any industry. Therefore, identifying, management, and mitigation of risks are considered of high signi cance for companies. By taking risk management into account, this study introduces a new multi-objective mathematical model for Supply Chain (SC) con guration in the presence of a new product. The considered SC is multi-echelon, multi-resource, multi-period, and multi-product. In order to manage the risk in this SC, appropriate mitigation strategies were chosen among various risk response strategies considering their cost and e ectiveness. Furthermore, in uence of each choice on SC was accounted for in the mathematical model. The assumed model explored the optimum tactical and operational Supply Chain Management (SCM) decisions. The ability of the model was assessed by solving a numerical example. The result showed that the choice of various response strategies as well as new product production in uenced SC con guration.

Modelling supply chain viability during COVID-19 disruption: A case of an Indian automobile manufacturing supply chain

“…The assumed model explored the optimum tactical and operational SCM decisions. The model's ability was assessed, and the result showed that the choice of various response strategies and new product production influenced supply chain configuration (Sabzevari et al 2020). Reconfigurability is modeled in the SC using interpretive structural modeling (ISM) (Biswas 2017) and ISM based roadmap is developed to identify key enablers for SC performance (Dev et al 2014).…”

Theoretical Exploration of Supply Chain Viability Utilizing Blockchain Technology

“…In order to adapt to changing customer needs and meet the needs of more product customization, many organizations need to reconfigure their manufacturing systems and supply chains. Sabzevari et al [98] introduced a new, multi-objective, mathematical model for supply chain construction in new products by considering risk management. Al Naimi et al [99] have studied the causes of resilience and emphasizes the importance of elasticity in reconfiguring the supply chain.…”