Skip to Main content Skip to Navigation
New interface
Conference papers

A Hybrid Method for Solving Buffer Sizing and Inspection Stations Allocation

Abstract : The buffer sizing problem in unreliable production lines is an important, indeed, complex combinatorial optimization problem with many industrial applications. These applications include quality, logistics and manufacturing production systems. In the formulation of the problem, the system consists of n machines, n fixed-size buffers and m inspection station in series. The objective is to minimize a combined storage and shortage costs, and also specifying the optimal location of inspection stations in the system. The present paper aims at optimizing a generalization of the model previously proposed in (Mhada et al., 2014) using a novel approach. In this approach, we combine Tabu Search (TS) and Genetic Algorithm (GA) to identify search regions with promising locations of inspection stations and an exact method to optimize the assignment of buffer sizes for each location. This approach provides a balance between diversification and intensification. Numerical results on test problems from previous research are reported. Using this approach, we can reduce the solution time by more than 97% in some cases.
Document type :
Conference papers
Complete list of metadata

Cited literature [12 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Tuesday, October 25, 2016 - 11:32:38 AM
Last modification on : Thursday, August 11, 2022 - 1:16:05 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Mohamed Ouzineb, Fatima-Zahra Mhada, Robert Pellerin, Issmail El Hallaoui. A Hybrid Method for Solving Buffer Sizing and Inspection Stations Allocation. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2014, Ajaccio, France. pp.156-166, ⟨10.1007/978-3-662-44733-8_20⟩. ⟨hal-01387176⟩



Record views


Files downloads