Integrated production and non-cyclical maintenance planning in flow-shop environment with limited buffer

Shahrzad DerakhshanHoreh, Mehdi Bijari
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Abstract

In this paper, we work on a problem of determination of production and maintenance scheduling as well as the production lot sizes in flow-shop environment with limited buffer. We introduce a new mathematical model that can schedule production and non-cyclical maintenance activities. The objective of the problem is minimising the total costs consisting of production, setup, inventory and preventive maintenance costs. A method for linearising the mathematical model is introduced. Since the problem is NP-hard, solving the problem with proposed mathematical model in large and medium sizes is hard and time consuming. Hence, two heuristic algorithms based on fix and optimise approach are developed. For checking the solution quality, the numerical results of heuristic algorithms are compared with optimal solution, lower bound value and the best answer that gained among the examples.
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有限缓冲条件下流水车间环境下的集成生产和非周期维修计划
本文研究了有限缓冲条件下流水车间环境下的生产、维修计划和生产批量的确定问题。我们提出了一个新的数学模型,可以调度生产和非周期性维护活动。问题的目标是使生产、安装、库存和预防性维护成本的总成本最小化。介绍了一种数学模型线性化的方法。由于该问题是np困难的,因此用所提出的数学模型求解大中型规模的问题是困难且耗时的。因此,本文提出了两种基于修正和优化的启发式算法。为了检验解的质量,将启发式算法的数值结果与实例中得到的最优解、下界值和最佳答案进行了比较。
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来源期刊
International Journal of Industrial and Systems Engineering
International Journal of Industrial and Systems Engineering Engineering-Industrial and Manufacturing Engineering
CiteScore
1.70
自引率
0.00%
发文量
61
期刊介绍: In today"s global economy, the most successful engineering managers rely on a combination of technical skills and business principles. Industrial and systems engineering (ISE) aims at imparting fundamental knowledge to develop the ability to address complex industrial issues, emphasising on how to design, run, control and optimise production systems. The field of industrial engineering embraces a broad spectrum of technical activities including the classical techniques of work methods, production and facilities planning, quality control and safety. It also embraces the fields of human factors, operations research, manufacturing systems, and organisation and management systems.
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