Minimizing the total cost of hen allocation to poultry farms using hybrid Growing Neural Gas approach

Boonmee, Atiwat; Sethanan, Kanchana; Arnonkijpanich, Banchar; Theerakulpisut, Somnuk

doi:10.1016/j.compag.2014.10.006

Cited by 11 publications

(4 citation statements)

References 12 publications

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“…Constraints (5) ensure that the demand at customer i (Q i ) cannot exceed its vehicle capacity (P k ). Constraint (6) ensures that a vehicle k is returned to the depot no later than the maximum duration time (T k ). Vehicle availability is verified by constraints (7) and (8).…”

Section: Decision Variablesmentioning

confidence: 99%

“…A flow process of outbound logistics for the poultry industry in Thailand is depicted in Figure 1. In short, the outbound logistics of the poultry industry in Thailand consists of three principal distributions: (1) The old hens are slaughtered and then sold as poultry meats industry in Thailand consists of three principal distributions: (1) The old hens are slaughtered and then sold as poultry meats to customers; (2) eggs are mainly sold directly to the end-consumers; and (3) broken eggs are sent to a processing plant [6,7]. Various egg products (e.g., egg powder) are produced, which are used in the food industry.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Enhanced Differential Evolution Algorithm for Outbound Logistics of the Poultry Industry in Thailand

Moonsri

Sethanan

Worasan

2022

Journal of Open Innovation: Technology, Market, and Complexity

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Outbound logistics is a crucial field of logistics management. This study considers a planning distribution for the poultry industry in Thailand. The goal of the study is to minimize the transportation cost for the multi-depot vehicle-routing problem (MDVRP). A novel enhanced differential evolution algorithm (RI-DE) is developed based on a new re-initialization mutation formula and a local search function. A mixed-integer programming formulation is presented in order to measure the performance of a heuristic with GA, PSO, and DE for small-sized instances. For large-sized instances, RI-DE is compared to the traditional DE algorithm for solving the MDVRP using published benchmark instances. The results demonstrate that RI-DE obtained a near-optimal solution of 99.03% and outperformed the traditional DE algorithm with a 2.53% relative improvement, not only in terms of solution performance, but also in terms of computational time.

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Section: Decision Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Enhanced Differential Evolution Algorithm for Outbound Logistics of the Poultry Industry in Thailand

Moonsri

Sethanan

Worasan

2022

Journal of Open Innovation: Technology, Market, and Complexity

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“…Most of the egg industry research has been focused on value chain optimization and the allocating pullets problems, such as transportation supply for smooth operations. We refer readers to Seydim and Dawson [17], Boonmee et al [18], Dechampai et al [19] and Hisasaga et al [20] In previous work in the same company case study, Boonmee et al [18] studied the inbound logistics of egg production for allocating pullets to hen houses to minimize the total cost. The total cost included the cost of farm utilization, transportation cost from pullet farms to hen farms, and loss from mixing hens at different ages in the same hen houses.…”

Section: Literature Reviewmentioning

confidence: 99%

A Hybrid and Self-Adaptive Differential Evolution Algorithm for the Multi-Depot Vehicle Routing Problem in Egg Distribution

et al. 2021

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This paper presents the Hybrid and Self-Adaptive Differential Evolution algorithms (HSADE) to solve an egg distribution problem in Thailand. We introduce and formalize a model for a multi-product, multi-depot vehicle routing problem with a time window, a heterogeneous fleet and inventory restrictions. The goal of the problem is to minimize the total cost. The multiple products comprise customers’ demands with different egg sizes. This paper presents a Mixed Integer Linear Programming (MILP) model, an initial solution-based constructive heuristic, a new self-adaptive mutation strategy, and a neighborhood search structure with the probability to improve DE. The two measurements of criteria are the heuristic performance (HP) compared with the solution obtained by MILP and the relative improvement (RI) of the solution compared with Thailand’s current egg distribution practice. The computational results show that the performance of HSADE is better than the current practice, and HSADE can provide on average a 14.13% improvement in total cost. Additionally, our proposed algorithm can be applied to similar agriculture logistics in Thailand and worldwide.

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“…Oliveira and Lindau (2012) proposed a scheduling methodology for the collection of chickens at the farm level to reduce the waiting times of birds before their transportation to a slaughterhouse with capacity constraints. For egg-laying chickens, which are raised for egg production (not meat consumption), Boonmee et al (2015) used a hybrid clustering heuristic to minimize transportation distances and to avoid mixing hen ages allocated in the same cages. Later, Boonmee and Sethanan (2016) developed a mixed-integer linear programming (MILP) model for solving small instances of a lot-sizing problem (i.e., with a planning horizon (PH) of up to 20 weeks) and then a particle swarm optimization approach to tackle larger instances.…”

Section: Introductionmentioning

confidence: 99%

Integrated planning decisions in the broiler chicken supply chain

Solano-Blanco

González

Gómez‐Rueda

et al. 2020

Int Trans Operational Res

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In the poultry industry, the meat market requires a careful coordination of the broiler chicken supply chain comprising breeders, hatcheries, farms, slaughterhouses, wholesale, and retail vendors. Aside from the inherent challenges of coordinating a supply chain, animal husbandry systems face additional complex tasks. The lack of integrated decisions within the poultry chain could lead to a production plan that (a) does not comply with the biosecurity standards required in meat production for human consumption at the farms; (b) violates the production and inventory capacities at the slaughterhouses; and (c) does not meet the demand of customers. To streamline the supply chain, we propose a mixed‐integer linear programming model that supports production planning and scheduling decisions in broiler chicken production facilities. In addition, we embedded the mixed‐integer programming model in a rolling‐horizon scheme to improve scalability and to avoid the myopic effect of time‐indexed optimization models that put too much emphasis on a specific time period. We present the results of a case study in a poultry company in Santa Marta (Colombia), where we reach profit improvements that range from 7% to 57% with a reduction in inventory costs that range from 30% to 60%, while simultaneously meeting stringent technical, tactical, and biosecurity constraints.

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Minimizing the total cost of hen allocation to poultry farms using hybrid Growing Neural Gas approach

Cited by 11 publications

References 12 publications

A Novel Enhanced Differential Evolution Algorithm for Outbound Logistics of the Poultry Industry in Thailand

A Novel Enhanced Differential Evolution Algorithm for Outbound Logistics of the Poultry Industry in Thailand

A Hybrid and Self-Adaptive Differential Evolution Algorithm for the Multi-Depot Vehicle Routing Problem in Egg Distribution

Integrated planning decisions in the broiler chicken supply chain

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