Production Planning, Scheduling, and Process Control System in Microalgae and Biogas Supply Chain,Industrial & Engineering Chemistry Research

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Production Planning, Scheduling, and Process Control System in Microalgae and Biogas Supply Chain
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2019-01-23 , DOI: 10.1021/acs.iecr.8b03960
Yohanes Kristianto Nugroho ₁ , Liandong Zhu ₂

Affiliation

Biomass feedstock is a potential solution to the future source of biofuels and fine chemicals. A major challenge of its availability to meet energy demands extends the scope of production planning from single- to multilocations. However, multilocation production planning needs an integrated production scheduling to minimize idle times and overstocks and process control to hedge against any change in production planning. This article models an integration of production planning, scheduling and process control system, and formulates the model as a bilevel generalized disjunctive programming (GDP). We use a reformulation technique that converts bilevel into a single-level programming. We solve the model by using Branch and Reduce method and add outer approximation (OA) cutting plane at each lower bounding iteration. The computational result shows that the supply chain can mitigate stock out or over stock and generate no delivery delay. In terms of computational results, we find that the algorithm is capable of minimizing optimality gaps within the range of allowable error.

中文翻译：

微藻类和沼气供应链中的生产计划，计划和过程控制系统

生物质原料是未来生物燃料和精细化学品来源的潜在解决方案。其可满足能源需求的主要挑战是将生产计划的范围从单地点扩展到多地点。但是，多地点生产计划需要集成的生产计划，以最大程度地减少闲置时间和积压库存，并进行过程控制以对冲生产计划中的任何更改。本文对生产计划，计划和过程控制系统的集成进行建模，并将该模型表示为双层广义析取规划（GDP）。我们使用一种将双级转换为单级编程的重构技术。我们通过使用Branch and Reduce方法求解模型，并在每次下边界迭代时添加外逼近（OA）切割平面。计算结果表明，供应链可以缓解库存过剩或库存过剩的问题，并且不会产生交货延迟。在计算结果方面，我们发现该算法能够在允许误差范围内最小化最佳差距。

更新日期：2019-01-24

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