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Disruption management in a constrained multi-product imperfect production system
Journal of Manufacturing Systems ( IF 12.2 ) Pub Date : 2020-07-01 , DOI: 10.1016/j.jmsy.2020.05.015
Asif Iqbal Malik 1 , Biswajit Sarkar 2
Affiliation  

Abstract Over several decades, production and inventory systems have been widely studied in different aspects, but only a few studies have considered the production disruption problem. In production systems, the production may be disrupted by priorly unknown disturbance and the entire manufacturing plan can be distorted. This research introduces a production-disruption model for a multi-product single-stage production-inventory system. First, a mathematical model for the multi-item production-inventory system is developed to maximize the total profit for a single-disruption recovery-time window. The main objective of the proposed model is to obtain the optimal manufacturing batch size for multi-item in the recovery time window so that the total profit is maximized. To maintain the matter of multi-product, budget and space constraints are used. A genetic algorithm and pattern search techniques are employed to solve this model and all randomly generated test results are compared. Some numerical examples and sensitivity analysis are given to explain the effectiveness and advantages of the proposed model. This proposed model offers a recovery plan for managers and decision-makers to make accurate and effective decisions in real time during the production disruption problems.

中文翻译:

受约束的多产品不完善生产系统中的中断管理

摘要 几十年来,生产和库存系统在不同方面得到了广泛的研究,但只有少数研究考虑了生产中断问题。在生产系统中,生产可能会因先前未知的干扰而中断,整个制造计划可能会被扭曲。本研究为多产品单阶段生产库存系统引入了生产中断模型。首先,开发了多项目生产库存系统的数学模型,以最大化单中断恢复时间窗口的总利润。所提出模型的主要目标是在恢复时间窗口内获得多项目的最佳制造批量大小,从而使总利润最大化。为了维护多产品的问题,使用了预算和空间限制。采用遗传算法和模式搜索技术来求解该模型,并比较所有随机生成的测试结果。给出了一些数值例子和敏感性分析来解释所提出模型的有效性和优点。这个提议的模型为管理人员和决策者提供了一个恢复计划,以便在生产中断问题期间实时做出准确有效的决策。
更新日期:2020-07-01
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