Sustainability inventory management model with warm-up process and shortage Article Swipe
Erfan Nobil
,
Leopoldo Eduardo Cárdenas‐Barrón
,
Dagoberto Garza-Núñez
,
Gerardo Treviño-Garza
,
Armando Céspedes-Mota
,
Imelda de Jesús Loera-Hernández
,
Neale R. Smith
,
Amir Hossein Nobil
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.orp.2024.100297
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.orp.2024.100297
Fast-paced markets require complex interactions from all supply-chain agents to satisfy customer demands and needs. The manufacturing industries face some difficulties in terms of production amounts and smooth delivery rates. Technical experts found that a warm-up period before a production run helps address those challenges and improves the workability of machine tools in the manufacturing process. The use of a warm-up process causes a reduction of faulty products (an adverse production outcome) and improves operational efficiency. Also, a shortage in the supply of commodities creates difficult conditions for inventory management decisions, posing the same production problems as mentioned above. Consideration of the warm-up process has recently been included in the scope of operations research, but it is necessary to study its interaction with the presence of shortage. This study presents a system where a manufacturing environment utilizes the warm-up process in its initial phase and shortages are allowed during the production period, in addition, the study takes into account carbon emissions during manufacturing to integrate environmental concerns. We assume that the company has the capability to trade the surplus carbon capacity it hasn't produced. This study offers a comprehensive framework that incorporates former research that addresses warm-up process, carbon emissions, shortages, and defective items. To solve the proposed non-linear programming problem with inequality constraints, we employ the Karush-Kuhn-Tucker (KKT) conditions method to determine the optimal solutions. Managerial insights are derived, and sensitivity analysis highlights the effects of the system parameters on the decision variables. The sensitivity analysis results indicate that the carbon trading cost has a significant impact on the overall cost, and subsequently, the company's profit.
Related Topics
Concepts
Supply chain
Production (economics)
Karush–Kuhn–Tucker conditions
Process (computing)
Sustainability
Flexibility (engineering)
Economic shortage
Business
Computer science
Environmental economics
Scope (computer science)
Operations management
Operations research
Economics
Engineering
Microeconomics
Marketing
Mathematical optimization
Ecology
Operating system
Management
Linguistics
Philosophy
Biology
Mathematics
Programming language
Government (linguistics)
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.orp.2024.100297
- OA Status
- gold
- Cited By
- 9
- References
- 52
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391647579
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4391647579Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.orp.2024.100297Digital Object Identifier
- Title
-
Sustainability inventory management model with warm-up process and shortageWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-02-08Full publication date if available
- Authors
-
Erfan Nobil, Leopoldo Eduardo Cárdenas‐Barrón, Dagoberto Garza-Núñez, Gerardo Treviño-Garza, Armando Céspedes-Mota, Imelda de Jesús Loera-Hernández, Neale R. Smith, Amir Hossein NobilList of authors in order
- Landing page
-
https://doi.org/10.1016/j.orp.2024.100297Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.orp.2024.100297Direct OA link when available
- Concepts
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Supply chain, Production (economics), Karush–Kuhn–Tucker conditions, Process (computing), Sustainability, Flexibility (engineering), Economic shortage, Business, Computer science, Environmental economics, Scope (computer science), Operations management, Operations research, Economics, Engineering, Microeconomics, Marketing, Mathematical optimization, Ecology, Operating system, Management, Linguistics, Philosophy, Biology, Mathematics, Programming language, Government (linguistics)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 5, 2024: 4Per-year citation counts (last 5 years)
- References (count)
-
52Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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