A Simulation-based Framework for the Economic evaluation of Flexible Manufacturing Systems

Molenda, Paul; Drews, Tom; Oechsle, Oliver; Butzer, Steffen; Steinhilper, Rolf

doi:10.1016/j.procir.2017.02.039

Cited by 12 publications

(2 citation statements)

References 7 publications

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“…A study attempts to illustrate the reduction of the manufacturing conversion cost by prioritizing and analyzing the cost factors and assessment method, resulting in cost saving, cleaner production, and more sustainable manufacturing processes [45]. Considering importance of economic assessment in flexible manufacturing systems to allow the creation of an optimized level of flexibility, a simulation-based framework for an assessment methodology was studied to promote target-oriented optimization and cost saving more effectively [46]. An assessment approach for energy centric selection of machining conditions based on minimum cost is proposed to investigate the sustainability and energy efficiency of their manufacturing processes [47].…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainability assessment of mechanical manufacturing systems in the industrial sector

Cai

Lai

2021

Renewable and Sustainable Energy Reviews

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Section: Literature Reviewmentioning

confidence: 99%

Sustainability assessment of mechanical manufacturing systems in the industrial sector

Cai

Lai

2021

Renewable and Sustainable Energy Reviews

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“…Therefore, using such systems has economic justi cation when utilized with maximum e ciency and minimum waste. Generally, production planning is an optimal determination of the type, number, sequence, and production time of products; resources and production commitments are required to reduce production costs [2,3].…”

Section: Introductionmentioning

confidence: 99%

Application of simulated annealing algorithm for multi criteria operation planning in flexible manufacturing systems

2023

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This paper considers a multi-objective model in which operation planning and tool assignment are simultaneously in a Flexible Manufacturing System (FMS). In this regard, the main characteristics of FMS have been analyzed. Then, a comprehensive model, including major system parameters and cost components, has been designed and presented. The proposed model contains cost factors, including machining cost, earliness or tardiness penalties, tool and part movement or switch costs, and idle time costs of tools and machines. Then, a multi-objective model for the problem has been proposed, in which the relative importance of each cost through weighting these costs based on the decision-making goals and the sum of the mentioned costs have been considered simultaneously. Based on the complex nature of the problem, standard solution techniques have yet to be employed. Therefore, to reduce computational times, the Simulated Annealing (SA) algorithm has been used for about 30 minutes (10,000 movements). The total production costs have been decreased from 7,000 to 4333 units using the SA algorithm. Based on the results, a 38% reduction in total production costs has been achieved. Computational results revealed that the proposed method is quite e cient in the multi-objective optimization of FMS within a short computational time.

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Step-By-Step Digitalization of Preparation of Production of Small Shipbuilding Enterprises

Studnev

Burmistrov

2022

International Scientific Siberian Transport Forum TransSiberia - 2021

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A Simulation-based Framework for the Economic evaluation of Flexible Manufacturing Systems

Cited by 12 publications

References 7 publications

Sustainability assessment of mechanical manufacturing systems in the industrial sector

Sustainability assessment of mechanical manufacturing systems in the industrial sector

Application of simulated annealing algorithm for multi criteria operation planning in flexible manufacturing systems

Step-By-Step Digitalization of Preparation of Production of Small Shipbuilding Enterprises

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