Decision support system for inventory management in pharmacy using fuzzy analytic hierarchy process and sequential pattern analysis approach

A pharmacy typically store pharmaceutical products in warehouses before being sold to the customer. Stacking of products in the warehouse can reduce the efficiency of the warehouse and increase the costs associated with inventory, which raised the problem of how to predict the stock of each product to the right in order to avoid excess/shortages. Therefore, this study aims to develop a decision support system for inventory management in pharmacy, especially to predict next inventory using FAHP and SPA approach, so the prospect of inventory management will be more optimal. The study also proposes a model to predict inventory. These results indicate that the inventory prediction accuracy using this model approach more accurate 18% than the inventory prediction accuracy by a pharmacy inventory manager, so this approach can be referred to as a decision support system.

[1]  Ramakrishnan Srikant,et al.  Mining sequential patterns , 1995, Proceedings of the Eleventh International Conference on Data Engineering.

[2]  Ramakrishnan Srikant,et al.  Mining Sequential Patterns: Generalizations and Performance Improvements , 1996, EDBT.

[3]  Howard Cox,et al.  New Product Development and Product Supply within a Network Setting: The Chilled Ready-meal Industry in the UK , 2003 .

[4]  David L. Olson,et al.  Introduction to Business Data Mining , 2005 .

[5]  Yen-Liang Chen,et al.  Discovering recency, frequency, and monetary (RFM) sequential patterns from customers' purchasing data , 2009, Electron. Commer. Res. Appl..

[6]  Hsin-Hung Wu,et al.  A review of the application of RFM model , 2010 .

[7]  Lifang Peng,et al.  FAHP-based evaluation of the group-buying website , 2011, ICSSSM11.

[8]  Derya Birant.  Data Mining Using RFM Analysis , 2011 .

[9]  Dong Hai,et al.  Model Predictive Control for inventory Management in Supply Chain Planning , 2011 .

[10]  Jing He,et al.  Risk Assessment on Agricultural Products Logistics Financial Based on FAHP , 2012, 2012 International Conference on Management of e-Commerce and e-Government.

[11]  Agus Mansur,et al.  Product Inventory Predictions at Small Medium Enterprise Using Market Basket Analysis Approach-Neural Networks , 2012 .

[12]  Chiung-Hui Chiu,et al.  Sequential pattern analysis: Method and application in exploring how students develop concept maps , 2012 .

[13]  Helmut Schneider,et al.  Pharmaceutical supply chain specifics and inventory solutions for a hospital case , 2012 .

[14]  Spring C. Hsu.  The RFM-based Institutional Customers Clustering: Case Study of a Digital Content Provider , 2012 .

[15]  Chih-Chin Liang.  Inventory Prediction in a Food-Processing-and-Distribution Company , 2013, 2013 Fifth International Conference on Service Science and Innovation.

[16]  Tony Cheng-Kui Huang,et al.  Knowledge discovery of weighted RFM sequential patterns from customer sequence databases , 2013, J. Syst. Softw..

[17]  R. Jain.  Prioritization of Supplier Selection Criteria: A Fuzzy-AHP Approach , 2013 .

[18]  Ker-Wei Yu,et al.  Application of a New Hybrid Fuzzy AHP Model to the Location Choice , 2013 .

[19]  Hokey Min,et al.  A hybrid quality function deployment and fuzzy decision-making methodology for the optimal selection of third-party logistics service providers , 2013 .

[20]  Mustafa Batuhan Ayhan,et al.  A Fuzzy AHP Approach for Supplier Selection Problem: A Case Study in a Gear Motor Company , 2013, ArXiv.

[21]  Kwang-Kyu Seo,et al.  A Fuzzy AHP based Multi-criteria Decision-making Model to Select a Cloud Service , 2014 .

[22]  Iman Ramezani,et al.  Application of Fuzzy AHP Approach for Financial Performance Evaluation of Iranian Petrochemical Sector , 2014, ITQM.

[23]  Chang Liu,et al.  A Prediction-Based Inventory Optimization Using Data Mining Models , 2014, 2014 Seventh International Joint Conference on Computational Sciences and Optimization.

[24]  Sali Alas M Agus Heryanto.  MODEL KEPUTUSAN DECISION TREE UNTUK OPTIMALISASIPENGADAAN OBAT DI APOTEK , 2014 .

[25]  Christos T. Maravelias,et al.  Economic model predictive control for inventory management in supply chains , 2014, Comput. Chem. Eng..

[26]  Francisco Rodrigues Lima Junior,et al.  A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection , 2014, Appl. Soft Comput..

[27]  Ya-Han Hu,et al.  Discovering valuable frequent patterns based on RFM analysis without customer identification information , 2014, Knowl. Based Syst..