Taguchi Analysis for Improving Optimization of Integrated Forward/Reverse Logistics

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.

Fatigue performance investigation on the automotive welded structure under damped loads using the Taguchi method

“…Various designs of experiment methods 38 have been suggested to minimize the number of tests and experiment costs related to classifying the significant and effective parameters in each process. In this present research, the Taguchi method 39,40 has been implemented because it is considered one of the most common DoE mechanisms that can provide a good optimization of parameter levels and high‐quality design at a low cost. The results of this statistical process analysis can be used to investigate and identify the most important performing parameters as well as non‐performing parameters that can influence the response.…”

The Multi-visits Drone-Vehicle Routing Problem with Simultaneous Pickup and Delivery Service

“…Obviously, these constraints have certain limitations. For example, single-visit delivery operations will waste drone resources to a certain extent, and the development of green logistics and reverse logistics will also put forward new requirements for packages delivered by drones [ 22 , 23 ]. Thereby, this paper considers the relaxation of these constraints and proposes a mode of Multi-visits Drone-Vehicle Routing Problem with Simultaneous Pickup and Delivery Service (MDVRPSPD), whose objective is to minimize the distance traveled by drones and vehicles and the number of drones used.…”