Providing a Model for Assessing Pharmaceutical Industries Supply Chain Sustainability Using Adaptive Neuro- Fuzzy Inference System (ANFIS)

Subject Areas : medical documents

Mahsa  Alahyari ¹ (Ph.D Student Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran)
Nazanin  Pilevari ² (Associate professor, Department of Industrial Management, West Tehran Branch, Islamic Azad University, Tehran, Iran)
Reza  Radfar ³ (Assistant Professor, Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran)

Received: 2019-11-24 Accepted : 2019-12-16 Published : 2019-10-23

Keywords: Pharmaceutical industry, Sustainable Supply Chain Evaluation, Adaptive neuro-fuzzy inference system,

Abstract :

Introduction: The health system has one of the most complex supply chains in the world to deal with human health and well-being. The pharmaceutical supply chain is part of this system. For this reason, the purpose of this study is to develop a model to evaluate supply chain sustainability in this industry. Methods: First, by reviewing previous studies, indicators related to supply chain sustainability in economic, social, environmental and governance dimensions were extracted. Then, using a survey method to implement the model designed in ANFIS, a questionnaire was used to evaluate the sustainability factors in the case study. Results: The designed ANFISs with 50 training courses achieved acceptable error rates. In the economic and social dimension, the trend of sustainability changes was initially decreasing and then increasing. In the environmental dimension where negative indicators were considered, the trend is quite decreasing. In the governance dimension, the trend of incremental stability changes is. In the present study, the root mean square error (RMSE) is considered as a criterion for model validation. Conclusion: To improve the condition, sustainability must first be evaluated and measured so that the results can be quantified after the improvement measures. Based on the findings, it can be concluded that the model designed in ANFIS is a good tool for assessing sustainability.

References:

1- Abdolhamid Safaei Ghadikolaei zGD. Determinants of framework for assessing the sustainability of food supply chains using fuzzy analytic network process (Case study: Selected meat production companies of Mazandaran). Industrial Management Journal; 2014: 535-54.

2- Seuring S. A review of modeling approaches for sustainable supply chain management. Decision Support Systems; 2013: 1513-20.

3- Sunil Luthra KG, Devika Kannan, Sachin Kumar Mangla, Chandra. An integrated framework for sustainable supplier selection and evaluation in supply. Journal of Cleaner Production, 2016.

4- Morgane M.C. Fritz J-PSo, Rupert J. Baumgartner. Selected sustainability aspects for supply chain data exchange: Towards a supply chain-wide sustainability assessment. Journal of Cleaner Production; 2017: 587-607.

5- Duygu Turker CA. Sustainable supply chain management in the fast fashion industry: An analysis of corporate reports. European Management Journal; 2014: 837-49.

6- Laaya Olfat EMNA. A model for measuring sustainability of supply chain, case study: mechain made carpet industry of Iran. Iranian journal of management sciences (IAMS); 2014: 29-46.

6- Md Abdul Moktadir SMA, R. Rajesh, Sanjoy Kumar Paul. Modeling the interrelationships among barriers to sustainable supply. Journal of Cleaner Production; 2018: 631-51.

7- Deepak Mathivathanan DK, A. Noorul Haq. Sustainable supply chain management practices in Indian automotive. Resources, Conservation and Recycling; 2018: 284-305.

8- Fu Jia LZ-C, Adrian Bailey, Ximena Rueda. Sustainable supply chain management in developing countries: An. Journal of Cleaner Production; 2018: 263-78.

9- Minhao Zhang YKT, Bob Doherty, Si Li, Pervaiz Akhtar. Sustainable supply chain management: Confirmation of a. Resources, Conservation and Recycling; 2018: 206-21.

10- A. Rajeev RKP, Sidhartha S. Padhi, Kannan Govindan. Evolution of sustainability in supply chain management: A literature review. Journal of Cleaner Production, 2017.

11- Pezhman Ghadimi AD, Cathal Heavey. Sustainable supplier performance scoring using audition check-list. Computers & Industrial Engineering, 2017: 12-27.

12- Yevgeniya Arushanyan EE, Åsa Moberg. Sustainability assessment framework for scenarios – SAFS. Environmental Impact Assessment Review, 2017: 23-34.

13- Chun-Mei Su D-JH, Ming-Lang Tseng, Anthony S.F. Chiu, Kuo-JuiWu, Improving sustainable supply chain management using a novel. Journal of Cleaner Production; 2016: 469-81.

14- Hendrik Reefke DS. Key Themes and Research Opportunities in. Omega; 2016.

15- Stefan Winter RL. Environmental and social criteria in supplier evaluation e Lessons. Journal of Cleaner Production; 2016: 175-90.

16- Jury Gualandris RK, Stephan Vachon, Matteo Kalchschmidt. Sustainable evaluation and verification in supply chains: Aligning andleveraging accountability to stakeholders. Journal of Operations Management; 2015: 1-13.

17- Ghadikolaei AS, Madhoshi M, Jamalian A. Presenting a Conceptual Model for Sustainable Supplier Selection (A case study in SAIPA supply chain). Industrial Management Journal (IMJ); 2016: 767-84.

18- Atefeh Amindoust SA, Ali Saghafinia, Ardeshir Bahreininejad. Sustainable supplier selection: A ranking model based on fuzzy inference system. Applied Soft Computing. 2012:1668–77.

19- Suhaiza Zailani KJ, G. Vengadasan, R. Premkumar. Sustainable supply chain management (SSCM) in Malaysia: A survey. Int J Production Economics; 2012: 330-40.

20- Olfat Laaya, AKF, Roohollah Khodaverdi. Green Supply Chain Management within Iranian Automobile Industry. Iranian journal of management sciences (IAMS); 2012: 123-41.

21- Alahyari Mahsa, Pilevari Nazanin. Application of Fuzzy Delphi Approach to Identify Sustainability Factors Based on Social, Economic and Environmental Areas in Automotive Industry (Case Study: Iran Khodro Industrial Company), Iranian journal of supply chain management, 2018; 19(58): 56-73

22- Rahmati Maryam,Radfar Reza, Tolouie Abbas,Pilevari Nazanin. Hybrid Designing and Simulation of dynamic suburban Transport System by the use of ANFIS, Transportation Journal(TJR); 2019: 16,1

23- Khatami Firouz Abadi S M A, Olfat L, Doulabi S. Select suppliers on sustainable supply chain using fuzzy multi-criteria decision-making techniques (Case study: parts manufacturing industry), 2015; 1(3): 7-38.

24- Sadeghimoghadam, M., Safari, H., & Nozari, M. (2015). Measuring sustainability of service supply chain by using a multi-stage/multicast fuzzy inference system (Studied Case: Parsian Bank. Industrial Management Journal (IMJ; 2015: 533-562.