Sawmills are key elements of the forest product industry supply chain, and they play
important economic, social, and environmental roles. Sawmill production planning and …

In this paper, we present a novel multi-objective mixed-integer linear programming model to
support wine grape harvesting. The proposed model considers the opposing nature of …

Wood processing is one of the most widely used in agriculture and industry. Low precision
and high time delay of machine learning in wood defect detection are currently the main …

In this paper, we consider the distributed permutation flow shop scheduling problem
(DPFSSP) with transportation and eligibility constrains. Three objectives are taken into …

A hybrid micro genetic algorithm (HMGA) is proposed for Pareto optimum search focusing
on the Kursawe and ZDT test functions. HMGA is a fusion of the micro genetic algorithm …

We present a neural network-enhanced column generation (CG) approach for a parallel
machine scheduling problem. The proposed approach utilizes an encoder-decoder attention …

With the development of lean manufacturing and economic globalization, supply networks
increasingly become complex and large-scale, within which thousands of firms inter-depend …

In the current industrial world, Time and cost are two the most important concepts affecting
whole our planning, activities and scheduling. Effective use of these factors, will lead to …

Purpose This paper aims to provide a promising memetic algorithm (MA) for an unrelated
parallel machine scheduling problem with grey processing times by using a simple …

Ces travaux de thèses s' inscrivent dans le projet ANR Lorraine-Intelligence Artificielle qui
se veut un projet multi-disciplinaire promouvant la recherche à la fois sur l'intelligence …