Optimization of production cost for integrating job shop scheduling with production resources

Ramya, G.; Chandrasekaran, M.; Arulmozhi, Parvathy

doi:10.1016/j.matpr.2020.07.442

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…The results of four different comparison indexes and statistical tests show that the proposed algorithm has better competitiveness. Ramya [23] combined the planning of production resources such as materials, manpower, and machines with the job shop scheduling, proposed a hierarchical mathematical modeling method, and designed a random SFLA to effectively minimize the overall production cost.…”

Section: Introductionmentioning

confidence: 99%

Research on Multi-Objective Flexible Job Shop Scheduling Problem with Setup and Handling Based on an Improved Shuffled Frog Leaping Algorithm

Kong,

Yang

2024

Applied Sciences

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Flexible job shop scheduling problem (FJSP), widely prevalent in many intelligent manufacturing industries, is one of the most classic problems of production scheduling and combinatorial optimization. In actual manufacturing enterprises, the setup of machines and the handling of jobs have an important impact on the scheduling plan. Furthermore, there is a trend for a cluster of machines with similar functionalities to form a work center. Considering the above constraints, a new order-driven multi-equipment work center FJSP model with setup and handling including multiple objectives encompassing the minimization of the makespan, the number of machine shutdowns, and the number of handling batches is established. An improved shuffled frog leading algorithm is designed to solve it through the optimization of the initial solution population, the improvement of evolutionary operations, and the incorporation of Pareto sorting. The algorithm also combines the speed calculation method in the gravity search algorithm to enhance the stability of the solution search. Some standard FJSP data benchmarks have been selected to evaluate the effectiveness of the algorithm, and the experimental results confirm the satisfactory performance of the proposed algorithm. Finally, a problem example is designed to demonstrate the algorithm’s capability to generate an excellent scheduling plan.

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Section: Introductionmentioning

confidence: 99%

Research on Multi-Objective Flexible Job Shop Scheduling Problem with Setup and Handling Based on an Improved Shuffled Frog Leaping Algorithm

Kong,

Yang

2024

Applied Sciences

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“…The application of material requirements planning (MRP) in reducing costs is not new, and the topic is still growing with new research; for example, studies by Nandhakumar et al (2021); Zhu et al (2022) and Ramya et al (2021). However, studies specifically discussing the implementation of MRP in the tea beverage industry are still rare, especially in English.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Efficiency through Application of the Materials Requirement Planning and Demand Forecasting: A Case Study of a Small and Medium-Sized Enterprise in the Tea Beverage Industry

Rhufyano,,

Robbani,,

Arifin

2022

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Planning and controlling material supply is vital for a company to support the production process. The tea industry is no exception; this industry requires material planning to optimize its company. Thus, this paper explores the implementation of MRP and demand forecasting to increase the overall efficiency by focusing on the tea industry. The company studied for this paper is CitraTea, which uses a make-to-stock system to optimize inventory and minimize costs. For demand forecasting, we use Holt-Winter's method to forecast the customer demand for the next 12 months. We also use the Economic Order Quantity method in making the Material Requirements Plan. As a result, the benefit-cost ratio of the 250 ml and 500 ml products before the improvement are 1.738 and 2.027, respectively. Meanwhile, the benefit-cost ratio after improvement is 2.281 and 2.817, respectively. These results indicate that an increase in the benefit-cost ratio has occurred. The results of analysis, calculation and validation have shown that implementing the demand forecasting, and MRP in the company helps reduce the number of costs and increase the company's profit.

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A Proposed Model for Integration of University Course Timetabling and Vehicle Routing Problems: An Initial Investigation

Muriyatmoko,

Djunaidy,

Muklason

2023

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)

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Optimization of production cost for integrating job shop scheduling with production resources

Cited by 4 publications

References 12 publications

Research on Multi-Objective Flexible Job Shop Scheduling Problem with Setup and Handling Based on an Improved Shuffled Frog Leaping Algorithm

Research on Multi-Objective Flexible Job Shop Scheduling Problem with Setup and Handling Based on an Improved Shuffled Frog Leaping Algorithm

Optimizing Efficiency through Application of the Materials Requirement Planning and Demand Forecasting: A Case Study of a Small and Medium-Sized Enterprise in the Tea Beverage Industry

A Proposed Model for Integration of University Course Timetabling and Vehicle Routing Problems: An Initial Investigation

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