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Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach
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| Zeitschriftentitel: | Sustainability |
|---|---|
| Personen und Körperschaften: | , , , , , |
| In: | Sustainability, 11, 2019, 14, S. 3850 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
MDPI AG
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| Schlagwörter: |
| author_facet |
Bányai, Tamás Illés, Béla Gubán, Miklós Gubán, Ákos Schenk, Fabian Bányai, Ágota Bányai, Tamás Illés, Béla Gubán, Miklós Gubán, Ákos Schenk, Fabian Bányai, Ágota |
|---|---|
| author |
Bányai, Tamás Illés, Béla Gubán, Miklós Gubán, Ákos Schenk, Fabian Bányai, Ágota |
| spellingShingle |
Bányai, Tamás Illés, Béla Gubán, Miklós Gubán, Ákos Schenk, Fabian Bányai, Ágota Sustainability Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach Management, Monitoring, Policy and Law Renewable Energy, Sustainability and the Environment Geography, Planning and Development Building and Construction |
| author_sort |
bányai, tamás |
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Bányai, Tamás Illés, Béla Gubán, Miklós Gubán, Ákos Schenk, Fabian Bányai, Ágota 2071-1050 MDPI AG Management, Monitoring, Policy and Law Renewable Energy, Sustainability and the Environment Geography, Planning and Development Building and Construction http://dx.doi.org/10.3390/su11143850 <jats:p>The just-in-sequence inventory strategy, as an important part of the supply chain solutions in the automotive industry, is based on feedback information from the manufacturer. The performance, reliability, availability and cost efficiency are based on the parameters of the members of the supply chain process. To increase the return on assets (ROA) of the manufacturer, the optimization of the supply process is unavoidable. Within the frame of this paper, the authors describe a flower pollination algorithm-based heuristic optimization model of just-in-sequence supply focusing on sustainability aspects, including fuel consumption and emission. After a systematic literature review, this paper introduces a mathematical model of just-in-sequence supply, including assignment and scheduling problems. The objective of the model is to determine the optimal assignment and schedule for each sequence to minimize the total purchasing cost, which allows improving cost efficiency while sustainability aspects are taken into consideration. Next, a flower pollination algorithm-based heuristic is described, whose performance is validated with different benchmark functions. The scenario analysis validates the model and evaluates its performance to increase cost-efficiency in just-in-sequence solutions.</jats:p> Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach Sustainability |
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| title |
Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach |
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Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach |
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Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach |
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Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach |
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Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach |
| title_short |
Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach |
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optimization of just-in-sequence supply: a flower pollination algorithm-based approach |
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Management, Monitoring, Policy and Law Renewable Energy, Sustainability and the Environment Geography, Planning and Development Building and Construction |
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2019 |
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<jats:p>The just-in-sequence inventory strategy, as an important part of the supply chain solutions in the automotive industry, is based on feedback information from the manufacturer. The performance, reliability, availability and cost efficiency are based on the parameters of the members of the supply chain process. To increase the return on assets (ROA) of the manufacturer, the optimization of the supply process is unavoidable. Within the frame of this paper, the authors describe a flower pollination algorithm-based heuristic optimization model of just-in-sequence supply focusing on sustainability aspects, including fuel consumption and emission. After a systematic literature review, this paper introduces a mathematical model of just-in-sequence supply, including assignment and scheduling problems. The objective of the model is to determine the optimal assignment and schedule for each sequence to minimize the total purchasing cost, which allows improving cost efficiency while sustainability aspects are taken into consideration. Next, a flower pollination algorithm-based heuristic is described, whose performance is validated with different benchmark functions. The scenario analysis validates the model and evaluates its performance to increase cost-efficiency in just-in-sequence solutions.</jats:p> |
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| description | <jats:p>The just-in-sequence inventory strategy, as an important part of the supply chain solutions in the automotive industry, is based on feedback information from the manufacturer. The performance, reliability, availability and cost efficiency are based on the parameters of the members of the supply chain process. To increase the return on assets (ROA) of the manufacturer, the optimization of the supply process is unavoidable. Within the frame of this paper, the authors describe a flower pollination algorithm-based heuristic optimization model of just-in-sequence supply focusing on sustainability aspects, including fuel consumption and emission. After a systematic literature review, this paper introduces a mathematical model of just-in-sequence supply, including assignment and scheduling problems. The objective of the model is to determine the optimal assignment and schedule for each sequence to minimize the total purchasing cost, which allows improving cost efficiency while sustainability aspects are taken into consideration. Next, a flower pollination algorithm-based heuristic is described, whose performance is validated with different benchmark functions. The scenario analysis validates the model and evaluates its performance to increase cost-efficiency in just-in-sequence solutions.</jats:p> |
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| spelling | Bányai, Tamás Illés, Béla Gubán, Miklós Gubán, Ákos Schenk, Fabian Bányai, Ágota 2071-1050 MDPI AG Management, Monitoring, Policy and Law Renewable Energy, Sustainability and the Environment Geography, Planning and Development Building and Construction http://dx.doi.org/10.3390/su11143850 <jats:p>The just-in-sequence inventory strategy, as an important part of the supply chain solutions in the automotive industry, is based on feedback information from the manufacturer. The performance, reliability, availability and cost efficiency are based on the parameters of the members of the supply chain process. To increase the return on assets (ROA) of the manufacturer, the optimization of the supply process is unavoidable. Within the frame of this paper, the authors describe a flower pollination algorithm-based heuristic optimization model of just-in-sequence supply focusing on sustainability aspects, including fuel consumption and emission. After a systematic literature review, this paper introduces a mathematical model of just-in-sequence supply, including assignment and scheduling problems. The objective of the model is to determine the optimal assignment and schedule for each sequence to minimize the total purchasing cost, which allows improving cost efficiency while sustainability aspects are taken into consideration. Next, a flower pollination algorithm-based heuristic is described, whose performance is validated with different benchmark functions. The scenario analysis validates the model and evaluates its performance to increase cost-efficiency in just-in-sequence solutions.</jats:p> Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach Sustainability |
| spellingShingle | Bányai, Tamás, Illés, Béla, Gubán, Miklós, Gubán, Ákos, Schenk, Fabian, Bányai, Ágota, Sustainability, Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach, Management, Monitoring, Policy and Law, Renewable Energy, Sustainability and the Environment, Geography, Planning and Development, Building and Construction |
| title | Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach |
| title_full | Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach |
| title_fullStr | Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach |
| title_full_unstemmed | Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach |
| title_short | Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach |
| title_sort | optimization of just-in-sequence supply: a flower pollination algorithm-based approach |
| title_unstemmed | Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach |
| topic | Management, Monitoring, Policy and Law, Renewable Energy, Sustainability and the Environment, Geography, Planning and Development, Building and Construction |
| url | http://dx.doi.org/10.3390/su11143850 |