A Parallel Machine Scheduling Problem for a Plastic Injection Company

Aslaner, Aytaç Ali; Coşkun, Akdeniz; Tülemiş, Nur İlayda; Özboyacı, Ece; Ergün, Nil; Bulut, Berk; Gülbent, Görkem; Paldrak, Mert; Staiou, Efthymia

doi:10.1007/978-3-030-62784-3_66

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…In this study, they consider machine constraints, transaction sequences and processing times and deadlines in multi-order situations. 2 In another study, a new approach is presented to train a machine learning-based model and includes simulation data to minimize the number of physical experiments.…”

Section: Introductionmentioning

confidence: 99%

“…Aslaner et al have conducted research that will help future studies on machine scheduling problems to be created by establishing mathematical modelling. In this study, they consider machine constraints, transaction sequences and processing times and deadlines in multi‐order situations 2 . In another study, a new approach is presented to train a machine learning‐based model and includes simulation data to minimize the number of physical experiments.…”

Section: Introductionmentioning

confidence: 99%

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Determination of needs the production of 5 L pet bottles and cost analysis

Timur

2022

Packag Technol Sci

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Many parameters are used in bottle production in pet blow moulding machines. These parameters must be well optimized considering the machine‐related elements and theoretical values. In particular, the use of auxiliary elements at the correct values in the production of pet bottles affects the quality of produced bottles and the efficiency of bottle production. The right choice of equipment is important for the correct and precise planning of production. In this article, the equipment necessary for the production of 5 L pet bottles were identified, and the capacity calculations of this equipment were performed. Then, an up‐to‐date cost calculation was made, and appropriate conditions were created for production with the use of the right equipment in this field. This study was carried out in 2021 in Turkey at the Private Plastic Pet production plant, and cost analysis was performed successfully by determining the appropriate needs regarding the production.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Determination of needs the production of 5 L pet bottles and cost analysis

Timur

2022

Packag Technol Sci

View full text Add to dashboard Cite

show abstract

“…Aslaner et al, have done research that will help future studies for machine scheduling problems to be created by establishing a mathematical modeling in their work. In this study, they consider machine constraints, transaction sequences and processing times and deadlines in multi-order situations (Aslaner et al, 2021). In another study, a new approach is presented to train a machine learning-based model, and includes simulation data to minimize the amount of physical experiments.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Manufacturing Process Using Polyproplene by Plastic Injection Molding Method

Timur¹,

Kılıç²

2021

European Journal of Science and Technology

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Polypropylene is the most widely used type of polymer material. It is widely used in many areas from food to textile. Plastic injection molding is one of the most common methods used in the production of plastic parts. Many products in different sizes and shapes can be produced with plastic injection molding. In our study, carved furniture was produced from polypropylene raw material by plastic injection method and the parameters suitable for production were specified. Factors such as pressure, temperature, time, and speed are factors that directly affect the production and end product quality. For this reason, it is very important that the parameters are optimized well. The total cycle time of the production is determined as 40 seconds, and the final product is a product with 170 grams and 0.9 mm wall thickness. At the end of the study, the cost expenses of the sample firm were specified.

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Planning and scheduling of a parallel-machine production system subject to disruptions and physical distancing

Bazargan‐Lari

Taghipour

Zaretalab

et al. 2022

IMA Journal of Management Mathematics

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This paper aims to quantify the effects of production disruptions and physical distancing constraints due to the pandemic in a parallel-machine production environment. The machines are non-identical and are utilized for producing a finite set of jobs (parts) in a plastic injection molding production. The production process is subject to random production downtime disruptions. A mixed-integer linear programming (MILP) model is developed for optimizing the joint production plan and schedule, which maximizes the production’s total benefit. The model is utilized to plan and schedule a set of 17 machines in a Canadian manufacturing company. To explore the effects of physical distancing and production disruptions on the production’s total net profit, four different scenarios for normal operation and production during the pandemic, with and without production downtimes, are considered. A genetic algorithm is utilized to solve the model. The results show that considering machines’ random breakdowns and physical distancing individually reduces the total profit of the production by 71.58% and 57.98%, respectively; while their joint effect results in a 88.54% reduction in the annual net profit.

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A Parallel Machine Scheduling Problem for a Plastic Injection Company

Cited by 3 publications

References 6 publications

Determination of needs the production of 5 L pet bottles and cost analysis

Determination of needs the production of 5 L pet bottles and cost analysis

Analysis of the Manufacturing Process Using Polyproplene by Plastic Injection Molding Method

Planning and scheduling of a parallel-machine production system subject to disruptions and physical distancing

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