Title: Modelling and performance measurement of supply streams

Authors: Ahmed Deif; Amr Nounou

Addresses: Industrial Technology and Packaging, OCOB, California Polytechnic State University, 1 Grand Ave, San Luis Obispo, CA 93407, USA ' Faculty of Engineering, German International University, Cairo Governorate 4824201, Egypt; College of Engineering and Technology, American University of the Middle East, 250 St, Kuwait

Abstract: Managing supply chain networks are generally complex due to the structure (static) complexity as well as behaviour (dynamic) complexity. This complexity is even increased through the wide range of performance metrics used to integrate the supply chain. This paper proposes a new approach to manage supply chain delivery using a flow analysis perspective along with a performance improvement protocol while capturing the entire supply chain. Adopting lean thinking that focus on flow streamlining, a supply chain flow dashboard (SCFD) management tool was developed. The tool balances between simplicity and usefulness and is augmented with a management protocol that suggests the actions needed. Two cases form different supply chain industries were used to demonstrate the applicability of the proposed approach. The proposed approach offers managers and practitioners a frontline primary tool that can simply manage the delivery performance and allow for next level and deeper supply chain performance assessment opportunities.

Keywords: supply chains; delivery; lean supply chain; performance evaluation; supply chain flow dashboard; SCFD.

DOI: 10.1504/IJSCIM.2023.131570

International Journal of Supply Chain and Inventory Management, 2023 Vol.4 No.2, pp.175 - 193

Accepted: 15 Feb 2023
Published online: 19 Jun 2023 *