Dynamic Mixed Model Lotsizing and Scheduling for Flexible Machining Lines Using a Constructive Heuristic

Yue, Lei; Chen, Yarong; Mumtaz, Jabir; Ullah, Saif

doi:10.3390/pr9071255

Cited by 3 publications

(1 citation statement)

References 32 publications

(74 reference statements)

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“…They proposed six constructive heuristics and an iterated greedy algorithm to minimize the makespan. Yue et al [26] addressed the dynamic lot-sizing and scheduling problem in flexible multi-product facilities by employing a mathematical model and a constructive heuristic method to maximize profit, considering demand uncertainty and machine failure. Ghasemkhani et al [27] solved the integrated production-inventory-routing problem by employing an MILP model and two heuristic algorithms for a real-life case study.…”

Section: Introductionmentioning

confidence: 99%

Food Production Scheduling: A Thorough Comparative Study between Optimization and Rule-Based Approaches

Samouilidou,

Georgiadis,

Georgiadis

2023

Processes

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This work addresses the lot-sizing and production scheduling problem of multi-stage multi-product food industrial facilities. More specifically, the production scheduling problem of the semi-continuous yogurt production process, for two large-scale Greek dairy industries, is considered. Production scheduling decisions are made using two approaches: (i) an optimization approach and (ii) a rule-based approach, which are followed by a comparative study. An MILP model is applied for the optimization of short-term production scheduling of the two industries. Then, the same problems are solved using the commercial scheduling tool ScheduleProTM, which derives scheduling decisions using simulation-based techniques and empirical rules. It is concluded that both methods, despite having their advantages and disadvantages, are suitable for addressing complex food industrial scheduling problems. The optimization-based approach leads to better results in terms of operating cost reduction. On the other hand, the complexity of the problem and the experience of production engineers and plant operators can significantly impact the quality of the obtained solutions for the rule-based approach.

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Section: Introductionmentioning

confidence: 99%

Food Production Scheduling: A Thorough Comparative Study between Optimization and Rule-Based Approaches

Samouilidou,

Georgiadis,

Georgiadis

2023

Processes

View full text Add to dashboard Cite

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Food Production Scheduling: A Thorough Comparative Study Between Optimization and Rule-Based Approaches

Samouilidou,

Georgiadis,

Georgiadis

2023

Preprint

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This work addresses the lot-sizing and production scheduling problem of multi-stage multi-product food industrial facilities. More specifically, the production scheduling problem of the semi-continuous yogurt production process, for two large-scale Greek dairy industries, is considered. Production scheduling decisions are taken using two approaches: i) an optimization and ii) a rule-based approach, followed by a comparative study. A MILP model is applied for the optimization of short-term production scheduling of the two industries. Then, the same problems are solved using the commercial scheduling tool ScheduleProTM, which derives scheduling decisions, using simulation-based techniques and empirical rules. It is concluded that both methods, despite having their advantages and disadvantages, are suitable for addressing complex food industrial scheduling problems. The optimization-based approach leads to better results in terms of operating cost reduction. On the other hand, the complexity of the problem and the experience of production engineers and plant operators can significantly impact the quality of the obtained solutions for the rule-based approach.

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Order Releasing and Scheduling for a Multi-Item MTO Industry: An Efficient Heuristic Based on Drum Buffer Rope

Yue

Mumtaz

et al. 2022

Applied Sciences

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Increasing productivity and efficiency in factories with make-to-order (MTO) production systems have attracted growing interest of academia and industry. In MTO companies, efficient order release and schedule are essential for succeeding in today’s marketplace. However, dynamic demand of customers and constrained resources make it difficult to achieve, as well as limiting the profits. Thus, to overcome the problem of order releasing and multi-item scheduling considering the capacity constrained resources investigated, a heuristic approach is proposed based on the drum-buffer-rope (DBR) method. The proposed heuristic is tested on different types of problems based on due date tightness and demand of products. The performance of the proposed heuristic is compared with other famous heuristic methods in literature. End results indicate that the proposed heuristic based on the DBR method outperforms against the other competitors, and it gives more significant results when optimal buffer size is adopted.

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Dynamic Mixed Model Lotsizing and Scheduling for Flexible Machining Lines Using a Constructive Heuristic

Cited by 3 publications

References 32 publications

Food Production Scheduling: A Thorough Comparative Study between Optimization and Rule-Based Approaches

Food Production Scheduling: A Thorough Comparative Study between Optimization and Rule-Based Approaches

Food Production Scheduling: A Thorough Comparative Study Between Optimization and Rule-Based Approaches

Order Releasing and Scheduling for a Multi-Item MTO Industry: An Efficient Heuristic Based on Drum Buffer Rope

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