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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >Multi-objective approaches to balance mixed-model assembly lines for model mixes having precedence conflicts and duplicable common tasks
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Multi-objective approaches to balance mixed-model assembly lines for model mixes having precedence conflicts and duplicable common tasks

机译：多目标方法来平衡具有优先级冲突和可重复的常见任务的模型混合的混合模型装配线

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摘要

The existence of common tasks for model mixes is the main characteristic of the mixed-model assembly lines. The decision problem considered in this study is how some common tasks can be duplicated to improve the efficiency of a mixed-model assembly line under the assumption that some of the precedence relationships among common tasks for different products are conflicting. This decision problem is called by the authors as “mixed-model assembly line balancing with precedence conflicts and duplicable common tasks (MALB-CD).” Although precedence conflicts have been mentioned in some of the earlier studies, to the best knowledge of the authors, this is the first study that deals with precedence conflicts by mathematical modeling. In the first step of this study, a new binary mathematical model with single objective for MALB-CD is developed where the single-objective is to minimize the number of workstations. Three goals relevant to MALB-CD are then incorporated into this single-objective model to give rise to two pre-emptive goal programming models, one with precise and the other with fuzzy goals. Minimizing the number of workstations, the cycle time and the total cost required to duplicate common tasks are the goals in question. The proposed mathematical models are illustrated and validated by means of a number of numerical illustrations.
机译：模型混合的常见任务的存在是混合模型装配线的主要特征。在这项研究中考虑的决策问题是，在不同产品的常见任务之间的某些优先关系存在冲突的假设下，如何可以复制某些常见任务以提高混合模型装配线的效率。作者将此决策问题称为“具有优先级冲突和可重复的常见任务（MALB-CD）的混合模型装配线平衡”。尽管在一些较早的研究中提到了优先级冲突，但据作者所知，这是第一个通过数学建模处理优先级冲突的研究。在这项研究的第一步中，针对MALB-CD开发了一个具有单一目标的新二进制数学模型，其中单一目标是最大程度地减少工作站的数量。然后将与MALB-CD相关的三个目标合并到此单目标模型中，以产生两个先发制人的目标编程模型，一个具有精确的目标，另一个具有模糊的目标。目标是最大程度地减少工作站的数量，周期时间和重复常见任务所需的总成本。所提出的数学模型通过大量数字插图进行了说明和验证。

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