PALMA INFANTE, CRISTIAN DERECK
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PALMA INFANTE, CRISTIAN DERECK
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cristianpalma@udd.cl
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Scopus Author ID
22941755100

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2023 2023 2022 2022 2021 2021 2020 2020 2019 2019 2018 2018 2017 2017 2016 2016 2015 2015 2014 2014 0.0 0.0 0.5 0.5 1.0 1.0 1.5 1.5 2.0 2.0 2.5 2.5 3.0 3.0

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Drinking water and urban growth: analysis of the integration of the land-use and water supply planning instruments in BioBio Region, Chile

2017 , PALMA INFANTE, CRISTIAN DERECK , GONZALEZ MATHIESEN, MARIA CONSTANZA , Richard Zapata , César Jara

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An integrated multi-criteria decision analysis and optimization modeling approach to spatially operational road repair decisions

2021 , Sättar Ezzati , PALMA INFANTE, CRISTIAN DERECK , Pete Bettinger , Ljusk Ola Eriksson , Anjali Awasthi

In this study, we developed a generic cost-effective approach for spatially explicit decision support involving the allocation of road repair treatments. The approach begins with an assessment of the existing road condition to identify the extent of environmental impacts and to determine road repair regimes in a subjective manner using group-decision making efforts. An integer programming model is then formulated by combining expert opinions with operational costs to guide repair schedules required for each road segment at the operational planning level. To demonstrate model performance, we applied it to a 400 km2 landscape consisting of 289 km of paved roads in the mountainous region of the Hyrcanian forests in Iran. We assessed sensitivity of the inputs, such as weight verification, budgetary limitations, and rehabilitation weights. The results of the subjective analysis show that 76% of the roads analyzed in these forests must be prioritized to receive treatments as intended for logistical purposes. Incorporating the extent of environmental dimensions into operational costs allows us to generate an optimal tradeoff curve by selecting an appropriate treatment for segments of a road network. The approach demonstrated here can be used to design detailed alternative solutions for addressing spatially-informed road decisions under various terrain conditions.

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Impact of Timber Volume and Grade Estimation Error on the British Columbia Coastal Supply Chain

2016 , PALMA INFANTE, CRISTIAN DERECK

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A Multiobjective Model for the Cutting Pattern Problem with Unclear Preferences

2016 , PALMA INFANTE, CRISTIAN DERECK , Francisco P. Vergara

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CHARACTERIZATION OF ROBUST SOLUTIONS OF MULTI-OBJECTIVE OPTIMIZATION MODELS WITH UNCERTAIN WEIGHTS: APPLICATION IN A SAWMILL

2018 , PALMA INFANTE, CRISTIAN DERECK

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Assessing the integration of planning instruments for urban land use and water service

2023 , GONZALEZ MATHIESEN, MARIA CONSTANZA , PALMA INFANTE, CRISTIAN DERECK , Cesar Jara , Richard Zapata

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Modeling Lean and Agile Approaches: A Western Canadian Forest Company Case Study

2018 , Francisco Vergara , PALMA INFANTE, CRISTIAN DERECK , John Nelson

In the forest supply chain of the coast of British Columbia, the material flows are directed toward the push production of commodity products. This industry has not adopted lean and agile principles due to unclear economic impacts on the supply chain in changing market conditions. We tested the ability of lean and agile principles to improve performance in the coastal integrated forest industry. Mixed integer programming formulations were subject to over–under production capacity, and over–under demand fulfillment penalties to emulate agile, lean, and hybrid manufacturing environments, when solving the planning problem. Assuming that the coastal integrated forest industry performs as a hybrid environment, the profit results of each manufacturing environment were judged. The results show that, opportunities for profit improvement were 11% for adopting an agile environment when demand was stable with low variation and large batches of production. However, profit improvement was non-existent when the same demand attributes apply but with high variation. The opportunities for profit improvement were 12% when an agile environment or lean environment was adopted when demand was stable with low variation and small batches of production. However, opportunities for profit improvements of 15% existed for adopting an agile environment when demand was unstable with high variation and small batches of production.

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Multiobjective parallel machine scheduling in the sawmill industry using memetic algorithms

2014 , BAESLER ABUFARDE, FELIPE , PALMA INFANTE, CRISTIAN DERECK

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A comparison of optimization models for lumber production planning

2015 , Francisco P Vergara , PALMA INFANTE, CRISTIAN DERECK , Héctor Sepúlveda

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Considering Section Balance in an Integer Optimization Model for the Curriculum-Based Course Timetabling Problem

2020 , PALMA INFANTE, CRISTIAN DERECK , Patrick Bornhardt

University course timetabling is a complex and time-consuming duty that every educational institution faces regularly. It consists of scheduling a set of lectures in predefined time slots so as to avoid student conflicts, meet teacher and room availability, and manage several institution-specific operational rules. In this paper, we schedule courses based on a curriculum, that is, before the students’ registration. Unlike other curriculum-based models, the proposed model considers two practical aspects when managing the conflicts between lectures: (i) it schedules sections of subjects so that each section is evenly likely to be registered by the students, and (ii) it considers the failure rates and periodicity a subject is taught. We present a multi-objective integer programming model that maximizes the use of specific time slots, the symmetry in which the lectures of a course are scheduled during a week, and the flexibility for straggler students to take courses. The model is solved using commercial software, and it is applied to a real course-timetabling problem. We show the advantages of its use by comparing the model’s solution with the actual solution obtained by the manual scheduling.

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