Energy performance evaluation and improvement of unit-manufacturing processes: injection molding case study

Madan, Jatinder; Mani, Mahesh; Lee, Jae Hyun; Lyons, Kevin W.

doi:10.1016/j.jclepro.2014.09.060

Cited by 73 publications

(32 citation statements)

References 27 publications

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“…In the third stage, the injection molding process takes place, wherein the plastic mixture is melted and converted into a solid part. In the final stage, runner, gates, and any other unwanted plastic which is attached to the part, is removed and ground into appropriate granules [73]. In this study, we carried out the case study in an injection molding facility in Turkey.…”

Section: Case Studymentioning

confidence: 99%

An Integrated Best-Worst and Interval Type-2 Fuzzy TOPSIS Methodology for Green Supplier Selection

et al. 2019

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Supplier selection is one of the most important multi-criteria decision-making (MCDM) problems for decision-makers in the competitive market. Today’s organizations are seeking new ways to reduce the negative effects they have on the environment and to achieve a greener system. Currently, the concept of green supplier selection has gained great importance for its ability to incorporate environmental or green criteria into classical supplier selection practices. Therefore, in this study, a multi-phase MCDM model based on the best-worst method (BWM) and the interval type-2 fuzzy technique for order preference by similarity to ideal solution (IT2F TOPSIS) is proposed. A case study in a plastic injection molding facility in Turkey was carried out to show the applicability of the proposed integrated methodology. The paper offers insights into decision-making, methodology, and managerial implications. Results of the case study are examined and suggestions for future research are provided.

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Section: Case Studymentioning

confidence: 99%

An Integrated Best-Worst and Interval Type-2 Fuzzy TOPSIS Methodology for Green Supplier Selection

et al. 2019

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“…The production steps with plastic injection are shown in Figure 2. These stages are drying, blending and dosing, injection molding and regrinding, respectively (Madan et al,2015;Yucesan et al, 2018).…”

Section: Case Studymentioning

confidence: 99%

Green Supplier selection for plastic industry using integrated model based on Pythagorean fuzzy AHP and fuzzy TOPSIS

Yücesan

2019

isarder

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“…An example JSON input structure and JSONiq physics equations are provided for the Injection molding machine. The injection molding process consists of heating thermoplastic material until it melts, then forcing this molten material into a mold (die) where it cools and solidifies [33]. Consequently, the injection molding process consists of three major sub-processes: (1) Melting, Injecting, or filling, (2) Cooling, (3) Ejection and resetting.…”

Section: Example Of Atomic Process Performance Model: Injection Moldingmentioning

confidence: 99%

“…Consequently, the injection molding process consists of three major sub-processes: (1) Melting, Injecting, or filling, (2) Cooling, (3) Ejection and resetting. The resulting cycle time, can be formulated as according to [33][34][35]:…”

Section: Example Of Atomic Process Performance Model: Injection Moldingmentioning

confidence: 99%

Analysis and Optimization based on Reusable Knowledge Base of Process Performance Models

Brodsky¹,

Shao²,

Krishnamoorthy³

et al. 2015

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Abstract:In this paper, we propose an architectural design and software framework for fast development of descriptive, diagnostic, predictive, and prescriptive analytics solutions for dynamic production processes. The proposed architecture and framework will support the storage of modular, extensible, and reusable Knowledge Base (KB) of process performance models. The approach requires developing automated methods that can translate the high-level models in the reusable KB into low-level specialized models required by a variety of underlying analysis tools, including data manipulation, optimization, statistical learning, estimation, and simulation. We also propose an organization and key structure for the reusable KB, composed of atomic and composite process performance models and domain-specific dashboards. Furthermore, we illustrate the use of the proposed architecture and framework by performing diagnostic tests on a composite process performance model.

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Energy performance evaluation and improvement of unit-manufacturing processes: injection molding case study

Cited by 73 publications

References 27 publications

An Integrated Best-Worst and Interval Type-2 Fuzzy TOPSIS Methodology for Green Supplier Selection

An Integrated Best-Worst and Interval Type-2 Fuzzy TOPSIS Methodology for Green Supplier Selection

Green Supplier selection for plastic industry using integrated model based on Pythagorean fuzzy AHP and fuzzy TOPSIS

Analysis and Optimization based on Reusable Knowledge Base of Process Performance Models

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