Optimal Quality Degradation Modeling in Food Supply Chain

Abstract:

This paper deals with the integration of the cost of food quality COFQ in decision-making on storage and transportation conditions through a food supply chain. We propose a quantitative model which formulates the Cost of Food Quality COFQ across the food supply chain according to the classical model PAF. Results obtained using CPLEX are illustrated with numerical examples to highlight the impact of quality parameters such as cooling cost and transportation cost factor on total cost of the Food Supply Chain (FSC), and thus to show how consideration of quality costs may lead to increased efficiency and cost saving of the food supply chain.

• Periodical: International Journal of Engineering Research in Africa (Volume 45)
• Pages: 192-204
• DOI: https://doi.org/10.4028/www.scientific.net/JERA.45.192
• Online since: November 2019
• Authors: Lamiae Douiri*, Abdelouahhab Jabri, Abdellah El Barkany
• Keywords: CPLEX Software, Food Quality, Food Supply Chain, MILP, Optimization, Quality Modeling

References

[1] R. Manzini, R. Accori, The new conceptual framework for food supply chain assessment Journal of food engineering, vol.115, 2013, pp.251-263.

DOI: 10.1016/j.jfoodeng.2012.10.026

[2] J. Trienekens, P. Zuurbier, Quality and safety standards in food industry, developments and challenges, Int. J. Production Economics vol.113, 2008, p.107–122.

DOI: 10.1016/j.ijpe.2007.02.050

[3] Christopher M.G., Logistics and Supply Chain Management: Strategies for Reducing Costs and Improving Services, Pitman, London, (1998).

[4] C. Marreiros, M. Ness, A Conceptual Framework of Consumer Food Choice Behavior, Faculty of Science, Agriculture and Engineering. University of Newcastle, CEFAGE-UE Working Paper 2009/06.

[5] Van der Vorst, J.G.A.J., Effective food supply chains. Generating, modelling and evaluating supply chain scenarios, PhD thesis, Wageningen University, Wageningen, (2000).

[6] VAN DER VORST, J. G. A. J. Performance measurement in agri-food supply-chain networks, quantifying the Agri-Food Supply Chain, 15–26.

DOI: 10.1007/1-4020-4693-6_2

[7] Li, D. and O'Brien, C., Integrated decision modelling of supply chain efficiency, International Journal of Production Economics, vol.59, 1999, pp.147-57.

[8] H. Aramyan, Alfons G.J.M. Oude Lansink, Jack G.A.J. van der Vorst and Olaf van Kooten, Performance measurement in Agri food supply chain, a case study, Supply chain management: an international Journal, vol.12/4, 2007, pp.304-315.

DOI: 10.1108/13598540710759826

[9] R. Markowitz, Howard R., Food Quality - Conceptual and Sensory Aspects, Journal of Food Quality and Preference, vol.6, 1995, pp.157-62.

[10] Zhao, X., & Lv, Q. (2011). Optimal Design of Agri-Food Chain Network: An Improved Particle Swarm Optimization Approach. 2011 International Conference on Management and Service Science.

DOI: 10.1109/icmss.2011.5998308

[11] Tsao, Y.-C. Designing a Fresh Food Supply Chain Network: An Application of Nonlinear Programming. Journal of Applied Mathematics, 2013, 1–8.

DOI: 10.1155/2013/506531

[12] Xuping Wang, Meng Wang, Junhu Ruan, Hongxin Zhan, The Multi-objective Optimization for Perishable Food Distribution Route Considering Temporal-spatial Distance, Procedia Computer Science vol. 96, ( 2016 ), p.1211 – 1220.

DOI: 10.1016/j.procs.2016.08.165

[13] Dilupa Nakandala, Cost-optimization modelling for fresh food quality and transportation, Industrial Management & Data Systems, Vol. 116 Iss 3, 2016, p.564 – 583.

DOI: 10.1108/imds-04-2015-0151

[14] Zhang, Y., & Chen, X. D. (2014). An Optimization Model for the Vehicle Routing Problem in Multi-product Frozen Food Delivery. Journal of Applied Research and Technology, 12(2), 239–250.

DOI: 10.1016/s1665-6423(14)72340-5

[15] Bag, S., & Anand, N. (2015). Modelling barriers of sustainable supply chain network design using interpretive structural modelling: an insight from food processing sector in India. International Journal of Automation and Logistics, 1(3), 234.

DOI: 10.1504/ijal.2015.071722

[16] Boudahri, F., Sari, Z., Maliki, F., & Bennekrouf, M. (2011). Design and optimization of the supply chain of agri-foods: Application distribution network of chicken meat. 2011 International Conference on Communications, Computing and Control Applications (CCCA).

DOI: 10.1109/ccca.2011.6031424

[17] Lütke entrup, M., Günther, H.-O., Van Beek, P., Grunow, M., & Seiler, T. (2005). Mixed-Integer Linear Programming approaches to shelf-life-integrated planning and scheduling in yoghurt production. International Journal of Production Research, 43(23), p.5071–5100.

DOI: 10.1080/00207540500161068

[18] Ekşioğlu, S. D., & Jin, M. (2006). Cross-Facility Production and Transportation Planning Problem with Perishable Inventory. Lecture Notes in Computer Science, 708–717.

DOI: 10.1007/11751595_75

[19] Aiying Rong, An optimization approach for managing fresh food quality throughout the supply chain, Int. J. Production Economics vol., 2011, pp.131-421–429.

DOI: 10.1016/j.ijpe.2009.11.026

[20] Labuza, T.P. (1982), Shelf-life Dating of Foods, Food & Nutrition Press, Inc., Westport, CT.

[21] Feigenbaum, A., the Challenge of Total Quality Control. Industrial Quality Control, vol.13, 1957, pp.17-23.

[22] G.A. Gonzalez-Aguilar', R. Cruz and R. Baez, Storage Quality of Bell Peppers Pretreated with Hot Water and Polyethylene Packaging, Journal of Food Quality vol 22, 1999, pp.287-299.

DOI: 10.1111/j.1745-4557.1999.tb00558.x

[23] Zineb Ibn Majdoub Hassani, New Approach to Integrate Planning and Scheduling of Production System: Heuristic Resolution, International Journal of Engineering Research in Africa, Vol. 39, pp.156-169.

DOI: 10.4028/www.scientific.net/jera.39.156

[24] Krystel K. Castillo-Villar, Neale R. Smith, and José F. Herbert-Acero, Design and Optimization of Capacitated Supply Chain Networks Including Quality Measures, Mathematical Problems in Engineering, vol 2014, pp.1-17.

DOI: 10.1155/2014/218913