Taguchi Analysis for Improving Optimization of Integrated Forward/Reverse Logistics

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  • 1. International Graduate School for Dynamics in Logistics, University of Bremen, Bremen, Germany;
    2. Faculty of Production Engineering, University of Bremen, Bremen, Germany;
    3. BIBA Bremer Institut für Produktion und Logistik GmbH, Bremen, Germany

Received date: 2019-05-24

  Revised date: 2021-10-04

  Online published: 2023-09-07

Abstract

The distribution–allocation problem is known as one of the most comprehensive strategic decisions. In real-world cases, it is impossible to solve a distribution–allocation problem completely in acceptable time. This forces the researchers to develop efficient heuristic techniques for the large-term operation of the whole supply chain. These techniques provide near optimal solution and are comparably fast particularly for large-scale test problems. This paper presents an integrated supply chain model which is flexible in the delivery path. As solution methodology, we apply a memetic algorithm with a novelty in population presentation. To identify the optimum operating condition of the proposed memetic algorithm, Taguchi method is adopted. In this study, four factors, namely population size, crossover rate, local search iteration and number of iteration, are considered. Determining the best level of the considered parameters is the outlook of this research.

Cite this article

Elham Behmanesh, Jürgen Pannek . Taguchi Analysis for Improving Optimization of Integrated Forward/Reverse Logistics[J]. Journal of the Operations Research Society of China, 2023 , 11(3) : 529 -552 . DOI: 10.1007/s40305-021-00380-7

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