A multi-objective modeling approach to harvesting resource scheduling: Decision support for a more sustainable Thai sugar industry

Jarumaneeroj, Pisit; Dusadeerungsikul, Puwadol Oak; Chotivanich, Tharin; Akkerman, Renzo

doi:10.1016/j.cie.2021.107694

Cited by 11 publications

(7 citation statements)

References 35 publications

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“…In order to evaluate the developed mathematical model, the CPLEX solver is used in the experiment. Preemptive goal programming is applied to solve the problem by first solving the single-objective model and using the solution as a constraint for the next objective [12].…”

Section: Experimental Settingsmentioning

confidence: 99%

A Multi-Objective Model for Meal Delivery Problem in Thailand

Dusadeerungsikul,

Wisaprom,

Sae-Ngow

et al. 2023

Advances in Transdisciplinary Engineering

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The online meal delivery business in Thailand has grown substantially. Online platforms, customers, and riders are the three main stakeholders in this service system. While the platform aims to minimize total operation cost, customers would like to receive a high-quality meal. Moreover, the riders who are responsible for the pickup and delivery of meal to the customer’s house focus on maintaining their income. To address the issue, this research develops and validates a multi-objective model. The three objectives are to 1) minimize total operation costs, 2) minimize meal waiting time, and 3) maximize the number of riders receiving orders. From the experiments, the results indicate that when operation cost is the primary concern, only a small number of riders will be assigned the order. Alternatively, if the meal quality is the most important factor, orders must be distributed to all riders, which will maximize the number of riders who receive assignments at the same time.

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Section: Experimental Settingsmentioning

confidence: 99%

A Multi-Objective Model for Meal Delivery Problem in Thailand

Dusadeerungsikul,

Wisaprom,

Sae-Ngow

et al. 2023

Advances in Transdisciplinary Engineering

View full text Add to dashboard Cite

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%

“…Constraints ( 5) and ( 6) ensure that the assigned amount must not exceed the selected compartment capacity and meet the total quantity requirement. Constraint ( 7) - (11) represent route selection constraint. Constraint (7) provides that just one edge is chosen from origin to transit node if the vehicle 𝑣 is activated.…”

Section: Constraintsmentioning

confidence: 99%

“…Constraint (9) enforces that just one edge links to a destination node. Constraints (10) and (11) ensure that the total transportation time must not exceed the allowable maximum total time; meanwhile, the maximum total time requirement must not exceed the least fresh fruit shelf life. Constraint ( 12) -(15) define the model's decision variables.…”

Section: Constraintsmentioning

confidence: 99%

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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

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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.

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“…CO2 is the main driver of climate change, as it accounts for almost 80% of greenhouse gas (GHG) emissions. It is widely recognized that to avoid the worst impacts of climate change, the world needs to reduce its CO2 emissions urgently [2].…”

Section: Thailand's Co2 Emissionsmentioning

confidence: 99%

CO2 Reduction Planning for Energy Efficiency Projects in Bangkok Commercial Office Buildings

2022

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

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As a significant contributor to greenhouse gas emissions in the Asia Pacific region, Thailand has pledged to lower its carbon dioxide emissions by 555 million tons by the year 2030. In Bangkok, energy efficiency projects in the large commercial buildings sector are an integral method to reduce emissions and support a lower carbon future. Hence, to support energy efficiency methods, this study develops a methodology to quantify the emissions reduction and cost savings potential to optimize decision-making in CO2 emissions reduction project planning over the next five years. The results indicate that, among the energy efficiency methods considered for large commercial buildings, AC installations are the most costeffective method, whereas chiller installations offer the most CO2 reduction potential. Regarding project planning, results also indicate that with the current goals, additional measures about CO2 emissions may be required to meet the country's targets.

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A multi-objective modeling approach to harvesting resource scheduling: Decision support for a more sustainable Thai sugar industry

Cited by 11 publications

References 35 publications

A Multi-Objective Model for Meal Delivery Problem in Thailand

A Multi-Objective Model for Meal Delivery Problem in Thailand

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

CO2 Reduction Planning for Energy Efficiency Projects in Bangkok Commercial Office Buildings

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