Design of reconfigurable flow lines using MOPSO and maximum deviation theory

Goyal, Kapil Kumar; Jain, P.K.

doi:10.1007/s00170-015-7760-4

Cited by 18 publications

(17 citation statements)

References 30 publications

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“…Further work is needed to handle the corresponding integrated optimization problem for more than two consecutive DPs. In addition, other objectives such as convertibility (Goyal and Jain, 2016) and modularity (Benderbal et al, 2018) should be added as new objectives. Considering the NP-hardness of the problem, new metaheuristic algorithms except for the NSGA-II need to be developed to solve the integrated optimization problem and are expected to be evaluated by the exact ε -constraint method.…”

Section: Discussionmentioning

confidence: 99%

“…An OS sequence observing precedence constraints among OSs for a part is named a feasible OS sequence (FOS). In this study, multiple optional FOSs for every part are considered instead of single fixed FOS for a part (Benderbal et al, 2018; Goyal and Jain, 2016). The multiple FOSs for every part are depicted by precedence graph (PG) of OSs.…”

Section: Problem Formulationmentioning

confidence: 99%

“…The demand case under investigation is medium-to-large production volumes of multiple similar products, and the flow-line configuration is the suited configuration of RMS for that demand scenario. The flow-line configurations of RMS can be categorized into two classes: the single-part flow line (SPFL) configuration (Dou et al, 2011; Goyal et al, 2012; Goyal and Jain, 2016) and the multi-part flow line (MPFL) configuration (Dou et al, 2010, 2016; Youssef and EIMaraghy, 2006). Considering the MPFL being widely used in practice such as multiple similar automobile parts/models produced in the same flow line, the physical configuration of RMS under consideration is the MPFL configuration with crossover between machines in two consecutive workstations.…”

Section: Introductionmentioning

confidence: 99%

“…Different with above works concerned one objective, Goyal et al (2012) coped with the multi-objective SPFL configuration generation problem and employed the nondominated sorting genetic algorithm II (NSGA-II) to find nondominated solutions. Goyal and Jain (2016) further employed the multi-objective particle swarm optimization to obtain a set of non-dominated SPFL configurations. Benderbal et al (2018) developed an archived multi-objective-simulated annealing method to solve the optimal machine selection problem.…”

Section: Introductionmentioning

confidence: 99%

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Mixed integer programming models for concurrent configuration design and scheduling in a reconfigurable manufacturing system

Dou

Zhao

2020

Concurrent Engineering

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A reconfigurable manufacturing system can evolve its configuration to offer exactly the capacity and functionality needed for every demand period. For the reconfigurable manufacturing system with multi-part flow-line configuration simultaneously producing multiple parts within the same family, the production cost and the delivery time are closely related to its configuration and corresponding scheduling for certain demand period. Although studies on multi-part flow-line configuration design are abundant, studies on concurrent optimization of configuration design and scheduling for reconfigurable manufacturing system are scarce. First, a generic mixed integer nonlinear programming model for concurrent configuration design and scheduling is established to relax the limitation of the existing model, and then a mixed integer linear programming model is derived. The decisions of the two generalized models are to decide the amount of stations, the amount of identical machines and machines’ configuration for every station, and assign parts to machines along the multi-part flow line together with sequencing assigned parts for each machine. Based on the mixed integer linear programming model, an exact ε-constraint method is developed to obtain the Pareto optimal solutions with tradeoffs between cost and tardiness. The validation of two models and the ε-constraint method is verified against two cases adapted from the literature.

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Section: Discussionmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mixed integer programming models for concurrent configuration design and scheduling in a reconfigurable manufacturing system

Dou

Zhao

2020

Concurrent Engineering

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“…To overcome the main limits existing in the literature as the consideration of a single objective in the definition of models addressing the layout design problem, Goyal et al (2016) studied the design of reconfigurable flow lines (RFL) problem. They proposed a multi-objective optimization approach, where the cost, machine utilization, operational capability, and configuration convertibility are the conflicting objectives.…”

Section: Rms and Layoutmentioning

confidence: 99%

Machine layout design problem under product family evolution in reconfigurable manufacturing environment: a two-phase-based AMOSA approach

Benderbal

Benyoucef

2019

Int J Adv Manuf Technol

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Reconfigurable manufacturing systems (RMSs) are designed to manufacture a specific product, incorporating the scalability to other products in the same family. This ability is based primarily on the reconfiguration capabilities offered by reconfigurable machines tools (RMTs). This paper addresses one of the most important aspects related to the reactivity of RMSs. More specifically, it considers the relations, which link the conceived system with two important environments: its logical environment, i.e., the product family (products that share similarities) in which the RMS can evolve, and its physical environment, i.e., the physical workshop that implements this RMS. We study the machine layout problem by considering the product family evolution where two sub-problems are addressed. The first sub-problem concerns the evolution of the product, in the same family, towards new products to meet the evolutions and the requirements of the customers. The second sub-problem deals with the machine layout problem based on the results of the first sub-problem. For this, our two-phase based approach combines the wellknown metaheuristic, archived multi-objective simulated annealing (AMOSA), with an exhaustive search based heuristic to determine the best machine layout for all the selected machines of the product family. The developed approach is based on the initially generated process plans of products (in the product family) for the RMS design under performance metrics. Moreover, the proposed layout must at its best, respects both the constraints imposed by the generated process plans and those depicting the available location in the shop floor where machines can be placed. An illustrative numerical example is proposed to demonstrate the applicability of our approach.

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Optimization of Reconfigurable Manufacturing Systems Configuration: A Literature Review

Sabioni

Daaboul

Duigou

2021

Lecture Notes in Mechanical Engineering

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Reconfigurable Manufacturing Systems (RMS) have gained importance in the current context of increasing high variety demand, Mass Customization (MC) and market instability, due to their ability of being quickly modified to adjust their production capacity to attain sudden fluctuations in market demands as well as to accommodate operations of new products. RMS can be configured at system and machine levels. Many papers have described the RMS configuration as combinatorial optimization problems and proposed several techniques to optimize them in terms of different responses of interest. This paper presents a literature review that seeks to understand how RMS configuration has been addressed in terms of configuration level, optimization problem modelling and techniques applied to solve it. This work aims to assist researchers working on RMS configuration to identify trends and new research opportunities.

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Design of reconfigurable flow lines using MOPSO and maximum deviation theory

Cited by 18 publications

References 30 publications

Mixed integer programming models for concurrent configuration design and scheduling in a reconfigurable manufacturing system

Mixed integer programming models for concurrent configuration design and scheduling in a reconfigurable manufacturing system

Machine layout design problem under product family evolution in reconfigurable manufacturing environment: a two-phase-based AMOSA approach

Optimization of Reconfigurable Manufacturing Systems Configuration: A Literature Review

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