A multi-objective approach to sugarcane harvest planning in Thailand: Balancing output maximization, grower equity, and supply chain efficiency

Jarumaneeroj, Pisit; Laosareewatthanakul, Nutchanon; Akkerman, Renzo

doi:10.1016/j.cie.2021.107129

Cited by 25 publications

(10 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are two reasons to have client farmers; providing services to gain income including interests and increasing bargaining power. Sugar mills were also able to secure feedstock supply and reduce transaction costs [ 21 ].…”

Section: Resultsmentioning

confidence: 99%

“…There are many factors related to sugarcane harvesting in Thailand. Examples are those related to productivity, physical conditions of sugarcane fields, harvesting machines and equipment, transport vehicles, labor, weather, harvesting scheduling, queuing for delivery, and milling [ 21 ]. Complex factors related to sugarcane harvesting are also reported in India and Fiji [ 13 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Reframing the wicked problem of pre-harvest burning: A case study of Thailand's sugarcane

Chaya

2024

Heliyon

View full text Add to dashboard Cite

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reframing the wicked problem of pre-harvest burning: A case study of Thailand's sugarcane

Chaya

2024

Heliyon

View full text Add to dashboard Cite

“…The main focus of this study was on facility location and product allocation in the network. Jarumaneeroj et al (2021) examined the supply chain of sugarcane, taking into account the three objectives of maximizing production, maximizing grower equity, and maximizing the efficiency of the supply chain. They used a metaheuristic algorithm to solve their problem and finally implemented their problem on a real case in Thailand.…”

Section: Literature Reviewmentioning

confidence: 99%

A novel multi-objective robust fuzzy stochastic programming model for sustainable agri-food supply chain: case study from an emerging economy

Rahbari

Khamseh

Mohammadi

2023

Environ Sci Pollut Res

View full text Add to dashboard Cite

On the one hand, supply chain management of agri-food products under uncertain conditions has a significant impact on food security and, on the other hand, increases the profits of supply chain components. Moreover, considering the sustainability concepts leads to more social and environmental benefits. The present study investigates the canned food supply chain under uncertain conditions and sustainability concepts by considering strategic and operational decisions and different characteristics. The proposed model is a multi-echelon, multi-period, multi-product, multi-objective location-inventory-routing problem (LIRP) in which the vehicle fleet is considered heterogeneously. The objectives of this model are to (1) minimize costs, (2) minimize customer dissatisfaction, (3) maximize production throughput, and (4) maximize job opportunities. In this study, carbon cap and trade mechanism are used to minimize environmental damage. Robust fuzzy stochastic programming (RFSP) is employed to cope and control uncertainties. The multi-objective optimization problem is implemented on a real case and solved using the Torabi and Hassini (TH) method. The results of this study showed that with increasing confidence levels, the severity of the problem increased and the values of the objective functions worsened. Also, using the relative value of stochastic solution (RVSS) criterion demonstrated that the effect of utilizing the RFSP approach on the first and second objective functions was higher than that the nominal approach showed itself. Finally, sensitivity analysis is performed on two parameters: the selling price of products to foreign customers and the cost of purchasing products from farms. The results of this study showed that changing these two parameters had a significant effect on the first and second objective functions.

show abstract

“…In addition, various research has developed a mathematical model as well as algorithms to solve logistic problems in an agricultural setting. For example, a multi-objective model has been developed for the Thai sugar industry [11,12]. The model utilizes multi-objective mixed integer programming to optimize stakeholders' objectives (e.g., economic objectives and environmental impact).…”

Section: Related Workmentioning

confidence: 99%

Multi-Compartment Vehicle Loading and Route Optimization: Case for Exporting Thai Fresh Fruits

2022

Proceedings of WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications

View full text Add to dashboard Cite

Multi-compartment vehicles have been currently utilized in fresh fruit transportation because of their ability to consolidate perishable products without mixing them in the same chamber. In addition, each compartment can be set to a specific temperature to prolong the shelf-life of fruits. Nevertheless, the challenge of fruit transportation is to create an optimal route for vehicles, taking both transportation cost and fruit quality into account. The reason is that the quality of fruits has deteriorated when they are transported by the longer time options (which are typically less expensive). Therefore, an optimal vehicle route needs to balance transportation cost and fresh fruit quality. This article has developed a mathematical model for multicompartment vehicle loading and transportation routing to address such challenges. The model aims to minimize total transportation costs while maintaining the quality of fruits at the destination. The model has been validated using data from fresh fruit exports from Talaad-Thai (Thailand) to Nanning (China). Results indicate that desired quality at the destination directly impacts route decisions and total transportation cost. Meanwhile, the model reduces the number of vehicles required when multi-compartment vehicles are used instead of single-compartment vehicles.

show abstract

A multi-objective approach to sugarcane harvest planning in Thailand: Balancing output maximization, grower equity, and supply chain efficiency

Cited by 25 publications

References 37 publications

Reframing the wicked problem of pre-harvest burning: A case study of Thailand's sugarcane

Reframing the wicked problem of pre-harvest burning: A case study of Thailand's sugarcane

A novel multi-objective robust fuzzy stochastic programming model for sustainable agri-food supply chain: case study from an emerging economy

Multi-Compartment Vehicle Loading and Route Optimization: Case for Exporting Thai Fresh Fruits

Contact Info

Product

Resources

About