Production planning and scheduling optimization model: a case of study for a glass container company

Hervert-Escobar, Laura; López-Pérez, Jesús

doi:10.1007/s10479-018-3099-1

Cited by 10 publications

(3 citation statements)

References 14 publications

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“…Hervert-Escobar and López-Pérez, 2020 [9] Production planning and scheduling optimization model: a case of study for a glass container company.…”

Section: Research Topicmentioning

confidence: 99%

“…This system must rely on the close cooperation between the government and enterprises to reduce environmental damage. The company's most direct method is to reduce the total carbon emissions in the entire production process by comparing the costs and profits of different production models and measuring the carbon tax and carbon trading settings [9]. The control scope includes cement, electricity, fertilizer, steel, aluminum, and five high-carbon emission industries.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Period Production Optimization Decision Models under Net-Zero Transformation

Tsai

2023

Processes

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Facing the goal of net-zero emissions in 2050, the EU will pilot the European Carbon Boundary Adjustment Mechanism (CBAM) in 2023 and formally implement it in 2026. The scope of control includes cement, electricity, fertilizer, steel, aluminum, and five high-carbon emission industries. In response to global net-zero emissions and CBAM trends, net-zero transformation is not only an environmental issue but also a major economic issue related to Taiwan’s aluminum wheel frame industry. This study aims to bridge this gap by developing novel decision-making models that consider the unique requirements and constraints of net-zero transition, leading to more efficient and sustainable production optimization strategies based on activity-based costing (ABC). This study proposes four possible multi-period production optimization decision-making models (carbon tax and credit combination models) under the net-zero emission transformation of the aluminum wheel frame industry, and it compares the models to test their differences. The results of the study point out that, due to the different roles of carbon tax and carbon credit, the profit and product structure under the net-zero transformation will be very different. Enterprises should formulate carbon emission reduction targets and carbon inventories as soon as possible.

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“…Hervert-Escobar and López-Pérez, 2020 [9] Production planning and scheduling optimization model: a case of study for a glass container company.…”

Section: Research Topicmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-Period Production Optimization Decision Models under Net-Zero Transformation

Tsai

2023

Processes

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“…A dual heterogeneous island parallels GA along with an event-driven strategy was presented by Luo et al (2020) to minimize the total delay time, total energy cost and interference from new interpolations and quickly respond to dynamic scenarios. Laura and Jesus (2020) proposed a production planning and scheduling optimization model, taking into account the typical constraints in the planned production formula and production constraints in actual cases (such as limited product conversion and a minimum running length of the machine) and met the requirements to the maximum extent. A two-stage iterative heuristic algorithm was developed by Yasmín et al (2020) based on mathematical programming to solve the batch and scheduling problems in injection molding production.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on optimization of assembly line based on product scheduling and just-in-time feeding of parts

Zhang

Kan

et al. 2021

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Purpose Reducing production auxiliary time is the key to improve the efficiency of the existing mixed-flow assembly line. This paper proposes a method combining improved genetic algorithm (GA) and Flexsim software. It also investigates mixed-flow assembly line scheduling and just-in-time (JIT) parts feeding scheme to reduce waste in production while taking the existing hill-drop mixed-flow assembly line as an example to verify the effectiveness of the method. Design/methodology/approach In this research, a method is presented to optimize the efficiency of the present assembly line. The multi-objective mathematical model is established based on the objective function of the minimum production cycle and part consumption balance, and the solution model is developed using multi-objective GA to obtain the mixed flow scheduling scheme of the hill-drop planter. Furthermore, modeling and simulation with Flexsim software are investigated along with the contents of line inventory, parts transportation means, daily feeding times and time points. Findings Theoretical analysis and simulation experiments are carried out in this paper while taking an example of a hill-drop planter mixed-flow assembly line. The results indicate that the method can effectively reduce the idle and overload of the assembly line, use the transportation resources rationally and decrease the accumulation of the line inventory. Originality/value The method of combining improved GA and Flexsim software was used here for the first time intuitively and efficiently to study the balance of existing production lines and JIT feeding of parts. Investigating the production scheduling scheme provides a reference for the enterprise production line accompanied by the quantity allocation of transportation tools, the inventory consumption of the spare parts along the line and the utilization rate of each station to reduce the auxiliary time and apply practically.

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Production Scheduling for Energy Cost Optimization with Constraints: Comparison of Genetic Algorithm and PSO Techniques

Mota,

Faria,

Ramos

2024

Lecture Notes in Networks and Systems

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Production planning and scheduling optimization model: a case of study for a glass container company

Cited by 10 publications

References 14 publications

Multi-Period Production Optimization Decision Models under Net-Zero Transformation

Multi-Period Production Optimization Decision Models under Net-Zero Transformation

Research on optimization of assembly line based on product scheduling and just-in-time feeding of parts

Production Scheduling for Energy Cost Optimization with Constraints: Comparison of Genetic Algorithm and PSO Techniques

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