Integrated Workforce Scheduling and Flexible Flow Shop Problem in the Meat Industry - Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. IFIP WG 5.7 International Conference. Part II Access content directly
Conference Papers Year : 2021

Integrated Workforce Scheduling and Flexible Flow Shop Problem in the Meat Industry

Abstract

We address a problem from a meat company, in which orders are produced in two stages, consisting of preparing meats on benches and allocating them to conveyors to be packed in disposable trays. In an environment where machines are unrelated, the company has to take daily decisions on the number and start time of working periods, the number of workers and their allocation to machines, and the scheduling of activities to satisfy the required orders. The objective of the problem is to minimize, in a lexicographic way, the number of unscheduled activities, the weighted tardiness, and the total production cost. To solve the problem, we propose a multi-start random constructive heuristic, which tests different combinations of number of workers in the machines and for each combination produces many different schedules of the orders. The results of our computational experiments over realistic instances show that the heuristic is effective and can support the company on its daily decisions.
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hal-04117674 , version 1 (05-06-2023)

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Beatrice Bolsi, Vinícius Lima, Thiago Queiroz, Manuel Iori. Integrated Workforce Scheduling and Flexible Flow Shop Problem in the Meat Industry. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2021, Nantes, France. pp.594-602, ⟨10.1007/978-3-030-85902-2_63⟩. ⟨hal-04117674⟩
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