Multi-objective optimization modelling of sustainable green supply chain in inventory and production management
The ever increasing pressure to conserve the environment from global warming cannot be overemphasized. Emission from the inventory and production process contributes immensely to global warming and hence, the need to device a sustainable green inventory by the operational managers. In this paper, a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-12-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016821002416 |
| _version_ | 1819175369104687104 |
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| author | Abdullah Ali H. Ahmadini Umar Muhammad Modibbo Ali Akbar Shaikh Irfan Ali |
| author_facet | Abdullah Ali H. Ahmadini Umar Muhammad Modibbo Ali Akbar Shaikh Irfan Ali |
| author_sort | Abdullah Ali H. Ahmadini |
| collection | DOAJ |
| description | The ever increasing pressure to conserve the environment from global warming cannot be overemphasized. Emission from the inventory and production process contributes immensely to global warming and hence, the need to device a sustainable green inventory by the operational managers. In this paper, a multi-item multi-objective inventory model with back-ordered quantity incorporating green investment in order to save the environment is proposed. The model is formulated as a multi-objective fractional programming problem with four objectives: maximizing profit ratio to total back-ordered quantity, minimizing the holding cost in the system, minimizing total waste produced by the inventory system per cycle and minimizing the total penalty cost due to green investment. The constraints are included with budget limitation, space restrictions, a constraint on cost of ordering each item, environmental waste disposal restriction, cost of pollution control, electricity consumption cost during production and cost of greenhouse gas emission in the production process. The model effectiveness is illustrated numerically, and the solution obtained to give a useful suggestion to the decision-markers in the manufacturing sectors. |
| first_indexed | 2024-12-22T20:53:46Z |
| format | Article |
| id | doaj.art-53599427449342148cae4f0bfa685f8b |
| institution | Directory Open Access Journal |
| issn | 1110-0168 |
| language | English |
| last_indexed | 2024-12-22T20:53:46Z |
| publishDate | 2021-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj.art-53599427449342148cae4f0bfa685f8b2022-12-21T18:12:59ZengElsevierAlexandria Engineering Journal1110-01682021-12-0160651295146Multi-objective optimization modelling of sustainable green supply chain in inventory and production managementAbdullah Ali H. Ahmadini0Umar Muhammad Modibbo1Ali Akbar Shaikh2Irfan Ali3Department of Mathematics, University of Jazan, Jazan 45142, Saudi ArabiaDepartment of Statistics and Operations Research, Aligarh Muslim University, Aligarh 202 002, India; Department of Statistics and Operations Research, Modibbo Adama University of Technology, P.M.B. 2076, Yola, NigeriaDepartment of Mathematics, University of Burdwan, Burdwan 713104, West Begal, IndiaDepartment of Statistics and Operations Research, Aligarh Muslim University, Aligarh 202 002, India; Corresponding author.The ever increasing pressure to conserve the environment from global warming cannot be overemphasized. Emission from the inventory and production process contributes immensely to global warming and hence, the need to device a sustainable green inventory by the operational managers. In this paper, a multi-item multi-objective inventory model with back-ordered quantity incorporating green investment in order to save the environment is proposed. The model is formulated as a multi-objective fractional programming problem with four objectives: maximizing profit ratio to total back-ordered quantity, minimizing the holding cost in the system, minimizing total waste produced by the inventory system per cycle and minimizing the total penalty cost due to green investment. The constraints are included with budget limitation, space restrictions, a constraint on cost of ordering each item, environmental waste disposal restriction, cost of pollution control, electricity consumption cost during production and cost of greenhouse gas emission in the production process. The model effectiveness is illustrated numerically, and the solution obtained to give a useful suggestion to the decision-markers in the manufacturing sectors.http://www.sciencedirect.com/science/article/pii/S1110016821002416Multi-objective fractional programmingFuzzy goal programmingSustainable green supply chainInventory and production management |
| spellingShingle | Abdullah Ali H. Ahmadini Umar Muhammad Modibbo Ali Akbar Shaikh Irfan Ali Multi-objective optimization modelling of sustainable green supply chain in inventory and production management Alexandria Engineering Journal Multi-objective fractional programming Fuzzy goal programming Sustainable green supply chain Inventory and production management |
| title | Multi-objective optimization modelling of sustainable green supply chain in inventory and production management |
| title_full | Multi-objective optimization modelling of sustainable green supply chain in inventory and production management |
| title_fullStr | Multi-objective optimization modelling of sustainable green supply chain in inventory and production management |
| title_full_unstemmed | Multi-objective optimization modelling of sustainable green supply chain in inventory and production management |
| title_short | Multi-objective optimization modelling of sustainable green supply chain in inventory and production management |
| title_sort | multi objective optimization modelling of sustainable green supply chain in inventory and production management |
| topic | Multi-objective fractional programming Fuzzy goal programming Sustainable green supply chain Inventory and production management |
| url | http://www.sciencedirect.com/science/article/pii/S1110016821002416 |
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