A Production Inventory Routing Planning for Perishable Food with Quality Consideration

IFAC-PapersOnLine

Volumn 49, Issue 3, 2016, Pages 407-412

  LI, Yantong ^a   CHU, Feng ^a   YANG, Zhen ^b   Calvo, Roberto Wolfler ^c  

^a UNIVERSITY OF EVRY   (France)

^b XI'AN JIAOTONG UNIVERSITY   (China)

^c Laboratoire d'Informatique de Paris Nord Villetaneuse   (France)

Author keywords

Food quality; MILP; Optimization; Perishable food; Production inventory routing

Indexed keywords

OPTIMIZATION; SUPPLY CHAINS;

COMPUTATIONAL RESULTS; FOOD QUALITY; MILP; MIXED INTEGER LINEAR PROGRAMMING MODEL; PRODUCTION INVENTORIES; TOTAL PROFITS; TRANSPORTATION COST;

INTEGER PROGRAMMING;

EID: 84991063350     PISSN: None     EISSN: 24058963     Source Type: Conference Proceeding    
DOI: 10.1016/j.ifacol.2016.07.068     Document Type: Conference Paper

References (29)

1. Adulyasak, Y., Cordeau, J.F., & Jans, R. (2015). The production routing problem: A review of formulations and solution algorithms. Computers & Operations Research, 55, 141-152.
2. Ahuja, R.K., Huang, W., Romeijn, H.E., Morales, D.R., A heuristic approach to the multi-period single-sourcing problem with production and inventory capacities and perishability constraints. INFORMS Journal on Computing 19:1 (2007), 14–26.
3. Amorim, P., Meyr, H., Almeder, C, Almada-Lobo, B., Managing perishability in production-distribution planning: a discussion and review. Flexible Services and Manufacturing Journal 25:3 (2013), 389–413.
4. Bakker, M., Riezebos, J., Teunter, R.H., Review of inventory systems with deterioration since 2001. European Journal of Operational Research 221:2 (2012), 275–284.
5. Chandra, P., Fisher, M.L., Coordination of production and distribution planning. European Journal of Operational Research 72:3 (1994), 503–517.
6. Chen, C, Zhang, J., Delaurentis, T., Quality control in food supply chain management: An analytical model and case study of the adulterated milk incident in China. International Journal of Production Economics 152 (2014), 188–199.
7. Chen, H.K., Hsueh, C.F., Chang, M.S., Production scheduling and vehicle routing with time windows for perishable food products. Computers & operations research 36:7 (2009), 2311–2319.
8. Coelho, L.C., Laporte, G., Optimal joint replenishment, delivery and inventory management policies for perishable products. Computers & Operations Research 47 (2014), 42–52.
9. Díaz-Madroñero, M., Peidro, D., Mula, J., A review of tactical optimization models for integrated production and transport routing planning decisions. Computers & Industrial Engineering 88 (2015), 518–535.
10. Duan, Q., Liao, T.W., A new age-based replenishment policy for supply chain inventory optimization of highly perishable products. International Journal of Production Economics 145:2 (2013), 658–671.
11. Ekşioğlu, S.D., Jin, M., Cross-facility production and transportation planning problem with perishable inventory. In Computational Science and Its Applications-ICCSA 2006, 2006, Springer Berlin Heidelberg.
12. Ghare, P.M., Schrader, G.F., A model for exponentially decaying inventory. Journal of Industrial Engineering 14:5 (1963), 238–243.
13. Govindan, K., Jafarian, A., Khodaverdi, R., Devika, K., Two-echelon multiple-vehicle location-routing problem with time windows for optimization of sustainable supply chain network of perishable food. International Journal of Production Economics 152 (2014), 9–28.
14. Goyal, S.K., Giri, B.C., Recent trends in modeling of deteriorating inventory. European Journal of operational research 134:1 (2001), 1–16.
15. Gustavsson, J., Cederberg, C, Sonesson, U., Van Otterdijk, R., & Meybeck, A. (2011). Global food losses and food waste. Food and Agriculture Organization of the United Nations, Rom.
16. Li, D., Wang, X., Chan, H.K., Manzini, R., Sustainable FSC management. International Journal of Production Economics 152 (2014), 1–8.
17. Nahmias, S., Perishable inventory theory: A review. Operations research 30:4 (1982), 680–708.
18. Pahl, J., Vol, S., Integrating deterioration and lifetime constraints in production and supply chain planning: A survey. European Journal of Operational Research 238:3 (2014), 654–674.
19. Parfitt, J., Barthel, M., Macnaughton, S., Food waste within FSCs: quantification and potential for change to 2050. Philosophical Transactions of the Royal Society B: Biological Sciences 365:1554 (2010), 3065–3081.
20. Piramuthu, S., Zhou, W., RFID and perishable inventory management with shelf-space and freshness dependent demand. International Journal of Production Economics 144:2 (2013), 635–640.
21. Rau, H., Wu, M.Y., Wee, H.M., Integrated inventory model for deteriorating items under a multi-echelon supply chain environment. International journal of production economics 86:2 (2003), 155–168.
22. Rong, A., Akkerman, R., Grunow, M., An optimization approach for managing fresh food quality throughout the supply chain. International Journal of Production Economics 131:1 (2011), 421–429.
23. Soysal., M., Bloemhof-Ruwaard, J.M., Meuwissen, M.P., van der Vorst, J.G., A review on quantitative models for sustainable food logistics management. International Journal on Food System Dynamics 3:2 (2012), 136–155.
24. Stuart, T., Waste: uncovering the global food scandal, 2009, WW Norton & Company.
25. Susarla, N., Karimi, I.A., Integrated supply chain planning for multinational pharmaceutical enterprises. Computers & Chemical Engineering 42 (2012), 168–177.
26. Tekin, E., Gürler, Ü., Berk, E., Age-based vs. stock level control policies for a perishable inventory system. European Journal of Operational Research 134:2 (2001), 309–329.
27. Van Elzakker, M.A.H., Zondervan, E., Raikar, N.B., Hoogland, H., Grossmann, I.E., Optimizing the tactical planning in the Fast Moving Consumer Goods industry considering shelf-life restrictions. Computers & Chemical Engineering 66 (2014), 98–109.
28. Wognum, P.N., Bremmers, H., Trienekens, J.H., van der Vorst, J.G., Bloemhof, J.M., Systems for sustainability and transparency of FSCs-Current status and challenges. Advanced Engineering Informatics 25:1 (2011), 65–76.
29. Yang, P.C., Wee, H.M., An integrated multi-lot-size production inventory model for deteriorating item. Computers & Operations Research 30:5 (2003), 671–682.