This project aims to search for decision support system (DSS) for facilitating additive manufacturing (AM) adoption decisions in supply chains (SCs). Specifically, this project focuses design of a user-friendly DSS tool incorporating different inventory optimisation policies, by which businesses can evaluate long-term cost-benefit impact of AM on their SC performance enabling to make informed decisions about whether to adopt AM and how best to integrate it into their SC designs.

At a glance

  • Dates1st April 2022 to 30th November 2022
  • SponsorSchool of Management, Cranfield University
  • Funded£4,950
  • PartnersSchool of Management, Cranfield University

Post-pandemic world requires businesses to design resilient Supply Chains (SCs) in order to deal with a wide range of disruptions. The growing number of disruptions puts pressure on several sectors to rethink novel solutions to overcome the bottlenecks that they encounter. One of the potential solutions to the mentioned challenge is the adoption of new disruptive technologies such as additive manufacturing (AM). However, despite the potential benefits of the adoption of AM, still, there is not enough guidance on how businesses can effectively incorporate this new technology into their operations.

To address this gap, this project focuses on the design of a Decision Support System (DSS) that incorporates multiple inventory management, make-to-stock (MTS) and make-to-order (MTO), policies under existence and non-existence of AM in SC systems. Hence, by using that DSS and evaluating the long-term cost-benefit analysis of impact of AM on SC performance, businesses can make informed decisions about whether to adopt AM and how best to integrate it into their SC systems.

Principle Investigator

Dr Banu Ekren - Cranfield School of Management
Dr Ioannis Koliousis - Cranfield School of Management
Dr Abhi Ghadge - Cranfield School of Management

Relevant Information

Additive Manufacturing in Future Supply Chains