Designing Sustainable Distribution Network in Pharmaceutical Supply Chain: A Case Study

Document Type : Research Paper


1 Department of Industrial Management, Managemnet and Accounting Faculty, Shahid Beheshti University, G.C., Tehran, Iran

2 Department of Industrial Management, Management and Accounting Faculty, Shahid Beheshti University, G.C., Tehran, Iran


In order to compete effectively in the international markets, pharmaceutical companies must improve their competency. Competition in the global market needs to select the certain level of commitment for sustainability practices by companies to sustain their supply chains. This research presents a multi-objective model to design the pharmaceutical distribution network according to the main concepts of sustainability i.e. economic, environmental and social. This model helps managers to make strategic and technical decisions in the pharmaceutical distribution network (capacity of main and local distribution centers and the flow of drug among the network). Minimizing the costs and maximizing the welfare of society along with minimizing the adverse environmental effects make sustainable decisions. The NSGA-II algorithm was also applied to catch the Pareto-optimal front for the proposed model with respect to three objective functions. To test the model with real data, Darupakhsh distribution company was chosen, the results of the customized model for the case indicates the strategic and technical decisions in the pharmaceutical distribution network.


Main Subjects

Ahmadi A., Mousazadeh M., Torabi S. A. and Pishvaee M. S. (2018). OR Applications in Pharmaceutical Supply Chain Management. International Series in Operations Research and Management Science, Vol. 262, pp.461–491.
Ageron B., Gunasekaran A. and Spalanzani A. (2012). Sustainable Supply Management: An Empirical Study. International Journal of Production Economics, Vol.140 (1), pp. 168-182.
Asamoah D., Annan J. and Nyarko, S. (2012). AHP Approach for Supplier Evaluation and Selection in a Pharmaceutical Manufacturing Firm in Ghana. International Journal of Business and Management, Vol.7 (10), pp.49-62.
Brandenburg M., Govindan K. Sarkis J. and Seuring S. (2014). Quantitative models for sustainable supply chain management: developments and directions. European Journal of Operational Research, Vol.233 (2), pp.299-312.
Brundtland G.H. (1987). Our common future. Oxford paperbacks report. (A/42/427).
Carter C. R. and Rogers D. S. (2008). A framework of sustainable supply chain management: moving toward new theory. International Journal of Physical Distribution & Logistics Management, Vol.38 (5), pp.360-387.
Deb K., Agrawal S., Pratap A. and Meyarivan  T. (2000 ). A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II. Lecture Notes in Computer Science 1917, pp.849-858.
Gold S., Seuring S. and Beske, Ph. (2010). Sustainable supply chain management and inter-organizational resources: a literature review. Corporate Social Responsibility and Environmental Management, Vol.17 (4), pp.230-245.
Gopalakrishnan K., Yusuf A., Abubakar T. and Ambursa H. (2012). Sustainable supply chain management: A case study of British Aerospace (BAe) Systems. International Journal of Production Economics, Vol.140 (1), pp.193–203.
Govindana k., Khodaveric R. and Jafarian A. (2013). A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach. Journal of Cleaner Production, Vol. 47 (5), pp.345–354.
GRI, (2013). G4 Sustainability Reporting Guidelines. Global Reporting Initiative, Amsterdam.
Hassani A., Zegordi S.H. and Nikbakhsh, E. (2014). Robust closed loop global supply chain network design under uncertainity: the case of the medical device industry. International Journal of Production Research, Vol.53 (5), pp.1-30.
Marler R. T. and Jasbir S.A (2010). The weighted sum method for multi-objective optimization: new insights. Structural and Multidisciplinary Optimization, Vol.41 (6), pp.853–862.
Mehralian Gh., Rajabzadeh A., MorakabatiM. and Vatanpour H. (2012). Developing a Suitable Model for Supplier Selection Based on Supply Chain Risks: An Empirical Study from Iranian Pharmaceutical Companies Services. Iranian Journal of Pharmaceutical Research, Vol.11 (1), pp.209-219.
Mehralian Gh., Nazari J. A., Rasekh, H. R. and Hosseini S. (2016). TOPSIS approach to prioritize critical success factors of TQM: evidence from the pharmaceutical industry.The TQM Journal, Vol. 28 (2), pp.235-249.
Meijboom B. and Obel B. (2007). Tactical coordination in a multi-location and multi-stage operations structure: A model and a pharmaceutical company case. Omega, Vol.35, pp.258–273.
Mota B., Gomes Ke., Carvalho A., and Barbosa-Povoa A. (2014). Towards supply chain sustainability: economic, environmental and social design and planning. Journal of Cleaner Production, Vol.107, pp.14–27.
Mousazadeh M., Torabi S.A. and Zahiri B. (2015) .A robust Possibilistic Programming approach for pharmaceutical supply chain network design. Computers and Chemical Engineering, Vol. 82, pp.115-128.
Ness B., Urbel-Piirsalu E., Underberg S. and Olsson L. (2007). Categorizing tools for sustainability assessment. Ecological Economics, Vol.60, pp.498-508.
Pishvaee M.S., Torabi S.A. and Razmi J. (2012). Credibility-based fuzzy mathematical programming model for green logistics design under uncertainty. Computers and Industrial Engineering, Vol.62, pp. 624–632.
Roca L.C. and Searcy C. (2012). An analysis of indicators disclosed in corporate sustainability reports. Journal of Cleaner Production, Vol.20 (1), pp.103-118.
Shah N. (2004). Pharmaceutical supplies chains: key issues and strategies for optimization. Computers Chemical Engineering, Vol.28, pp.929–941.
Silverstra B. (2016). Sustainable supply chain management: current debate and future directions, Gest and Prod,sao carlos, Vol.23 (2), pp.235-349.
Srinivas N. and Deb, K. (1995). Multi-Objective function optimization using non-dominated sorting genetic algorithms. Evolutionary Computation, Vol.2 (3), pp.221-248.
Vishwakarma V., Prakash C. and Barua M. K. (2016). A fuzzy-based multi criteria decision making approach for supply chain risk assessment in Indian pharmaceutical industry. International Journal of Logistics Systems and Management, Vol.25 (2), pp.245-265.
Yandamuri S. R., Srinivasan K., Bhallamudi, S. (2006). Multi objective Optimal Waste Load Allocation Models for Rivers Using Non-Dominated Sorting Genetic Algorithm-II. Journal of Water Resources Planning and Management, Vol.132 (3), pp.133-143.
Yu X., Li C., Shi Y. and Yu M. (2010). Pharmaceutical supply chain in China: Current issues and implications for health system reform. Health Policy, Vol.97 (1), pp.8-15.
Zhao Z. Y., Zhao X.-J., Davidson K. and Zuo J. (2012). A corporate social responsibility indicator system for construction enterprises. Journal of Cleaner Production, Vol.29, pp.277-289.