DMADV approach to evaluate the Adaptive Kanban performance for inventory management process: the case of Moroccan public pharmaceutical supply chain

ABSTRACT

The Moroccan public Pharmaceutical Supply Chain had begun important redesign and improvement of its different logistical components. Its utmost target is to ensure without hindrance right pharmaceuticals, to the right population at the right place and cost. The endeavour of this paper is to propose the Adaptive Kanban System as a new system to manage pharmaceuticals inventory of the Moroccan public Pharmaceutical Supply Chain. Define-Measure-Analyse-Design-Verify methodology is used, to control its behaviour and to address the problem of predicting and evaluating the performance of Adaptive Kanban System, considering the Moroccan Pharmaceutical Supply chain requirements. The relevant findings of this work consist in a better structure of inventory and a decrease of pharmaceutical inventory costs. It also identifies several opportunities for further investigation into the merits of Adaptive Kanban application in the pharmaceutical sector.

KEYWORDS:

• Adaptive Kanban System (AKS)
• Define-Measure-Analyse-Verify approach (DMADV)
• inventory management process
• Patient expectations
• Pharmaceutical Supply Chain (PSC)

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Malak Mouaky

Malak Mouaky is currently a Ph.D-student in Modelling and Decision Aid- Supply Chain Management research in the industrial department at EMI School at Mohamed V University. Malak is also an industrial engineer from Univeristé de Technologie de Belfort-Montbéliard (UTBM) in France. Her main area of research is topics linked to Decision aid and Supply Chain Management with a special focus on inventory management via Continuous Improvement programs.

Loubna Benabbou

Dr. Loubna Benabbou is an Associate Professor of Industrial Engineering at Ecole Mohammadia d’Ingénieurs (EMI) at Mohamed V University. Her areas of interest include decision/ management sciences, machine learning and Operations Management. Several of her research papers related to these fields have been published in international scientific journals and conferences’ proceedings. She is member of INFORMS, IEOM, IEEE and International society of MCDM. Dr Benabbou earned MS/BS in Industrial Engineering from EMI, an MBA and PhD in Management and Decision sciences from Laval University in Canada.

Abdelaziz Berrado

Dr. Abdelaziz Berrado is an Associate Professor of Industrial Engineering at EMI School of Engineering at Mohamed V University. He earned MS/BS in Industrial Engineering from same institution, an MS in Industrial and Systems Engineering from San Jose State University, and a PhD in Decision Systems and Industrial Engineering from Arizona State University. His research interests are in the areas of Data Science, Industrial Statistics, Operations and Supply Chain Modelling, Planning and Control with application in different industries.