แบบจำลองกำหนดการเชิงเส้นจำนวนเต็มสำหรับการวางแผนจัดสรรตะกร้าผักอินทรีย์ของระบบเกษตรกรรมที่สนับสนุนโดยชุมชน กรณีศึกษา บริษัทจัดจำหน่ายผลผลิตเกษตรอินทรีย์

Apichai Ritvirool; Prasert Juntaramonthon; Chainarong Kongton; Krittapas Saisema

Authors

Apichai Ritvirool Department of Industrial Engineering, Faculty of Engineering, Naresuan University, Phitsanulok, Thailand
Prasert Juntaramonthon Department of Industrial Engineering, Faculty of Engineering, Naresuan University, Phitsanulok, Thailand
Chainarong Kongton Department of Industrial Engineering, Faculty of Engineering, Naresuan University, Phitsanulok, Thailand
Krittapas Saisema Department of Industrial Engineering, Faculty of Engineering, Naresuan University, Phitsanulok, Thailand

Keywords:

Allocation Planning, Integer Linear Programming, Community Supported Agriculture (CSA)

Abstract

The present research developed a mathematical model as a supporting tool to perform allocation planning of organic vegetables into a basket; an organic-produce distributing company was used as a case study. The company, which is operated by the community supported agriculture (CSA) system, directly sells organic vegetable baskets to home members. Allocation planning of a variety of vegetables into an organic vegetable basket is a complicated and cumbersome operation. This happens because there are several conditions and restrictions as follows: (1) each customer specifically requires different vegetables in the CSA basket subscription form and (2) the distributing company sets the boundary value of the total vegetable value in each basket. Employees took a long time to perform the allocation planning, usually relying only on their own experiences. No support tool was used to help with such an operation. To solve the problem, Integer Linear Programming (ILP) model was developed as a support tool for the organic vegetable basket allocation planning. The results showed that the time spent for planning the allocation of organic vegetable baskets reduced by 61.14%; the total deviated allocation value also reduced by 95.50% when compared with the results of the current operations.

References

Samoggia, A., Perazzolo, C., Kocsis, P. and Del Prete, M., 2019, “Community Supported Agriculture Farmers’ Perceptions of Management Benefits and Drawbacks,” Sustainability, 11, pp. 3262-3283.

Cooley, P. and Lass, A., 1998, “Consumer Benefits from Community Supported Agriculture Membership,” Review of Agricultural Economics, 20, pp. 227-232.

Hunter, E., Norrman, A. and Bergc, E., 2022, “Quantifying Differences in Alternative Food Network Supply Chain Activities and their Relationship with Socio-economic Outcomes,” International Food and Agribusiness Management Review, 25, pp. 83-101.

Filippi, C, Mansini, R. and Stevanato, E., 2017, “Mixed Integer Linear Programming Models for Optimal Crop Selection,” Computers and Operations Research, 81, pp. 26–39.

Brulard, N., Cung, V., Catusse, N. and Dutrieux, C., 2019, “An Integrated Sizing and Planning Problem in Designing Diverse Vegetable Farming Systems,” International Journal of Production Research, 57 (4), pp. 1018-1036.

Floresa, H., Villalobosa, R., Ahumadab, R., Uchanskic, M., Menesesd, C. and Sanchezd, O., 2019, “Use of Supply Chain Planning Tools for Efficiently Placing Small Farmers into High-Value, Vegetable Markets,” Computers and Electronics in Agriculture, 157, pp. 205-217.

Sisley, H., Dik, G., McGree, J. and Corry, P., 2022, “Multi-Product Multi-Region Supply Chain Optimisation for Seasonal Crops,” International Journal of Production Research, 60, pp. 1-19.

Esteso, A., Alemany, M., Bas, A. and Liu, S., 2022, “Optimization Model to Support Sustainable Crop Planning for Reducing Unfairness Among Farmers,” Central European Journal of Operations Research, 30, pp. 1101–1127.

Brulard, N., Dat, V. and Catusse, N., 2017, “Client Selection and Combination for Farm Perishable Products,” IFAC-PapersOnLine, 50, pp. 5006-5011.

Mason, A.J. and Dunning, I., 2010, "Opensolver: Open Source Optimisation For Excel," Proceedings of the 45th Annual Conference of The ORSNZ, Auckland, New Zealand, pp. 181-190.