Drying operation planning in a sawmill

Vanzetti, Nicolás; Corsano, Gabriela; Montagna, Jorge Marcelo

doi:10.1016/j.compchemeng.2020.106817

Cited by 3 publications

(5 citation statements)

References 18 publications

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“…Apart from the sawing problem, log bucking as a preprocessing decision before sawing [56], [88], optimal decisions of wood processing after sawing such as trimming and drying operation planning [80], [77], [78], [118], [119], [91], [92], upgraded machinery design for having a fast and compact process [43], [95], and transport decisions including routing and scheduling [8], [13], [34], [117] have been among highly-explored topics of decision-making optimization in sawmills.…”

Section: Methodologiesmentioning

confidence: 99%

“…Product quality [2], [10], [11], [16], [17], [18], [20], [43], [85], [88], [90], [94], [96], [106], [107], [108] [56], [84], [85], [106] [32], [50], [82], [106], [118], [119] [9], [40], [41], [83] Technical feasibility [7], [11], [13], [17], [25], [31], [32], [82], [83], [95], [96], [101], [109], [110] [7], [16], [32], [56], [64], [65], [109], [111], [112] Customer satisfaction Demands [7],…”

Section: Product Diversitymentioning

confidence: 99%

“…As the wood industry is facing a competitive market, a key concern of sawmills for their processing renovation is to keep, and even to strengthen, their customer-centric environment in terms of product quality [32], [50], [82], [106], [118], [119], product diversity [9], [40], [41], [83], and order lead times [5], [14], [41]. In fact, for an automated sawmill, having a trade-off between maintaining a high level of services and being efficient with respect to the company's financial targets is very essential [9].…”

Section: ) Customer Satisfactionmentioning

confidence: 99%

“…Another group of research works emphasizes postprocessing stages of lumber production such as lumber drying operation planning, with the goal of enhancing energy efficiency and maintaining the quality of finished products [118], [92]. A successful processing of these steps requires the fulfillment of different operational conditions while multiple decisions must be made to accomplish these tasks.…”

Section: B: Mixed-integer Linear Programming (Milp) Modelsmentioning

confidence: 99%

“…A successful processing of these steps requires the fulfillment of different operational conditions while multiple decisions must be made to accomplish these tasks. In order to facilitate the relationship among these decisions, MILP formulations are extended in [118] and [92] for the simultaneous optimization of drying operations, including the scheduling of kilns and filling them with packages of lumbers.…”

Section: B: Mixed-integer Linear Programming (Milp) Modelsmentioning

confidence: 99%

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Wood Products Manufacturing Optimization: A Survey

Hosseini

Peer

2022

IEEE Access

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The wood industry is a basic industry supplying primary materials to produce a wide range of products. The wood processing in sawmills bridges the transformation flow of raw materials to final products using machinery. Over the last decade, the global market for wood products has become highly competitive. As a result, sawmills are continually striving to improve their efficiency throughout their production process. Recent advances in automation systems and manufacturing technologies provide traditional sawmills with an unprecedented opportunity to be transformed into automated manufacturing plants to increase their efficiency. This opportunity motivates sawmill planners to adopt decision optimization technologies for enhancing their production yields. This transformation will support sawmills to remain resilient in current and future competitive markets. Although there is a vast amount of literature on decision-making in wood manufacturing in sawmills, a comprehensive overview of related approaches and findings with a special focus on optimization of decision processes is still lacking. The review firstly focuses on exploring opportunities provided by optimizing decision-making processes in the wood manufacturing along with associated roadblocks and challenges. Then, we explore methodologies adopted in the literature when aiming for the design and implementation of optimal decision-making systems. Finally, we provide references and guidelines for researchers and manufacturers interested in the topic, as well as formulate research gaps and recommendations for future research directions.INDEX TERMS autonomous production machines, automated wood processing, decision-making, decision support systems, optimization

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