Facultad Regional Santa Fe

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Author: search.filters.author.Fumero, YaninaSubject: search.filters.subject.MILP model

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    A new integrated approach for solving batching, production scheduling and delivery problems in single-stage batch environments
    (Computers & Chemical Engineering, 2024-06-02) Tibaldo, Aldana; Montagna, Jorge Marcelo; Fumero, Yanina
    At operational level, production and distribution integration is very valuable in real-word applications, especially in industries where products must be delivered shortly after production, as in the case of perishable or customized products. Given that the involved decisions belong to different departments and considering their high combinatory, they are usually decoupled. Although this sequential approach simplifies decision making, it can lead to suboptimal solutions for the integrated problem. This paper presents a novel mixed-integer linear programming (MILP) model to simultaneously manage batching, production, and distribution decisions. An efficient strategy is proposed, where feasible routes that vehicles can travel are generated beforehand, which greatly simplify the formulation. Thus, infeasible routes are not considered (reduction of the search space) and several important decisions are made simultaneously when selecting a route (allocation and sequencing of the customers). The performance of this approach is superior to previous ones, especially in large problems.
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    An MILP model for planning of batch plants operating in a campaign- mode
    (2014) Fumero, Yanina; Corsano, Gabriela; Montagna, Jorge Marcelo
    A mixed integer linear programming for the detailed production planning of multiproduct batch plants is proposed in this work. New timing decisions are incorporated to the model taking into account that an operation mode based in campaigns is adopted. For plants operating in a regular fashion along a time horizon, this operation mode assures a more efficient production management. In addition, sequencedependent changeover times and different unit sizes for parallel units in each stage are considered. Given the plant configuration and unit sizes, the total amount of each product to be produced and the product recipes, the proposed model determines the number of batches that compose the production campaign and their sizes, the assignment and sequencing of batches in each unit, and the timing of batches in each unit in order to minimize the campaign cycle time. The proposed model provides a useful tool for solving the optimal campaign planning of installed facilities.