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Saeed Dehnavi-Arani

Researcher at Yazd University

Publications -  7
Citations -  271

Saeed Dehnavi-Arani is an academic researcher from Yazd University. The author has contributed to research in topics: Job shop scheduling & Solver. The author has an hindex of 4, co-authored 6 publications receiving 186 citations. Previous affiliations of Saeed Dehnavi-Arani include Iran University of Science and Technology.

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An Ant Colony Algorithm (ACA) for solving the new integrated model of job shop scheduling and conflict-free routing of AGVs

TL;DR: A mathematical model which is composed of JSSP and CFRP, simultaneously and since the problem under study is NP-hard, a two stage Ant Colony Algorithm (ACA) is proposed, showing that ACA is an efficient meta-heuristic for this problem, especially for the large-sized problems.
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Robust optimization and mixed-integer linear programming model for LNG supply chain planning problem

TL;DR: A robust mixed-integer linear programming model for LNG sales planning over a given time horizon aiming to minimize the costs of the vendor and a novel metaheuristic algorithm, namely cuckoo optimization algorithm (COA), is designed to solve the problem efficiently.
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A new bi-objective integrated dynamic cell formation and AGVs’ dwell point location problem on the inter-cell unidirectional single loop

TL;DR: In this article, a nonlinear mixed-integer bi-objective mathematical model of dynamic cell formation and dwell point location problem (DCFDPLP) for AGVs on unidirectional single loop in which AGVs assignment, location of dwell points for AGV and transportation time of AGVs are considered besides cell reconfiguration, part families and machine groups formation in a dynamic environment.
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An integrated model of cell formation and scheduling problem in a cellular manufacturing system considering automated guided vehicles' movements

TL;DR: An integrated mathematical model for cellular manufacturing system (CMS) incorporating cell formation problem (CFP) and intra-cell scheduling and role of AGVs at the same time is considered and the objective function is to minimise the sum of the maximum completion time (makespan) and inter-cellular movements of parts.
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A Job Shop Scheduling and Location of Battery Charging Storage for the Automated Guided Vehicles (AGVs)

TL;DR: The proposed nonlinear model is transformed into a linear form to beefficiently solved in GAMS software and shows that the optimal cost and location of BCS can be obtained with respect to the number of AGVs, machines, parts, and other problem parameters.