A hybrid constraint programming approach to a wood procurement problem with bucking decisions

Dems, Amira; Rousseau, Louis-Martin; Frayret, Jean‐Marc

doi:10.1007/s10601-015-9196-8

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…Aggarwal and Singh (2015) provided a supplier selection model for stochastic demand, supplier capacities and lead times. Recently, Dems et al (2016) have proposed a hybrid constraint-based programming for a wood procurement problem for the Canadian industry considering cost and capacity variations. In addition, there are other few works which considers stochastic parameters in modeling the procurement problem.…”

Section: Literature Reviewmentioning

confidence: 99%

Environmentally sustainable stochastic procurement model

Kaur

Singh

2018

MEQ

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Purpose Procurement planning has always been a huge and challenging activity for business firms, especially in manufacturing. With government legislations about global concern over carbon emissions, the manufacturing firms are enforced to regulate and reduce the emissions caused throughout the supply chain. It is observed that procurement and logistics activities in manufacturing firms contribute heavily toward carbon emissions. Moreover, highly dynamic and uncertain business environment with uncertainty in parameters such as demand, supplier and carrier capacity adds to the complexity in procurement planning. The paper aims to discuss these issues. Design/methodology/approach This paper is a novel attempt to model environmentally sustainable stochastic procurement (ESSP) problem as a mixed-integer non-linear program. The ESSP optimizes the procurement plan of the firm including lot-sizing, supplier and carrier selection by addressing uncertainty and environmental sustainability. The model applies chance-constrained-based approach to address the uncertain parameters. Findings The proposed ESSP model is solved optimally for 30 data sets to validate the proposed ESSP and is further demonstrated using three illustrations solved optimally in LINGO 10. Originality/value The ESSP model simultaneously minimizes total procurement cost and carbon emissions over the entire planning horizon considering uncertain demand, supplier and carrier capacity.

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Section: Literature Reviewmentioning

confidence: 99%

Environmentally sustainable stochastic procurement model

Kaur

Singh

2018

MEQ

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“…Ongkunaruk and Ongcunaruk (2015) proposed using MILP to address the coconut sap pickup problem with time windows for a coconut sap juice manufacturer. Dems et al (2016) studied a wood procurement planning problem in Eastern Canada using MILP. Limpianchob (2017) integrated the harvesting and production plan of aromatic coconut using MILP.…”

Section: Introductionmentioning

confidence: 99%

Tactical Procurement Planning under Uncertainty in Aromatic Coconut Manufacturing

Deepradit

Ongkunaruk

Pisuchpen

2020

IJTech

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This article presents a tactical procurement plan for an aromatic coconut manufacturer located in Thailand using a mathematical model. Procurement planning is complex because many uncertainty factors are dependent upon the delivery schedule and season, which affect the price of the coconut and the quantity of the order. There were two alternatives for procurement: farmers and coconut collectors. The model used in this research study compared four scenarios: three deterministic models in which every parameter is constant under the worst-case, best-case, and average-case scenarios and a stochastic model simulation. For the deterministic models, the mixedinteger linear programming (MILP) was formulated in a spreadsheet and solved using the Frontline Premium Solver in Excel. In the second model, a Monte Carlo simulation-based MILP with three random variables-demand, price, and the number of coconuts-was solved optimally. The solution indicates how many coconuts will be purchased from farmers and collectors and which truck will be used to deliver the order to maximize total annual profit. The results were compared among four scenarios that could help decision-makers consider the range of profit. The results showed that the stochastic model resulted in less profits than the deterministic model. In the worstcase scenario, profit was lost; in the best-case scenario, profit was gained. In the stochastic model, profits were increasing, except in July. In summary, procurement planning helps factories and farmers realize the price, supply quantity, and demand uncertainties and organize to respond optimally. Proper farm management could increase the productivity of the farm and lessen the supply shortage, resulting in a higher profit. The findings of this research could be applied to assist coconut processors' supply planning efforts; moreover, proper farm management could increase the farm's productivity and lessen the supply shortage.

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A hybrid constraint programming approach to a wood procurement problem with bucking decisions

Cited by 2 publications

References 15 publications

Environmentally sustainable stochastic procurement model

Environmentally sustainable stochastic procurement model

Tactical Procurement Planning under Uncertainty in Aromatic Coconut Manufacturing

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