Solution of an Uncertain EPQ Model Using the Neutrosophic Differential Equation Approach
Time is a very crucial factor in controlling demand patterns for certain products. In manufacturing processes, the production rate must be regulated according to the demand pattern and available stock as a part of effective lot size management policies. We incorporate this fundamental idea for const...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wrocław University of Science and Technology
2025-01-01
|
| Series: | Operations Research and Decisions |
| Online Access: | https://ord.pwr.edu.pl/assets/papers_archive/ord2025vol35no2_3.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849428259288121344 |
|---|---|
| author | Mostafijur Rahaman Rakibul Haque Soheil Salahshour Anna Sobczak Fariba Azizzadeh Shariful Alam Sankar Prasad Mondal |
| author_facet | Mostafijur Rahaman Rakibul Haque Soheil Salahshour Anna Sobczak Fariba Azizzadeh Shariful Alam Sankar Prasad Mondal |
| author_sort | Mostafijur Rahaman |
| collection | DOAJ |
| description | Time is a very crucial factor in controlling demand patterns for certain products. In manufacturing processes, the production rate must be regulated according to the demand pattern and available stock as a part of effective lot size management policies. We incorporate this fundamental idea for constructing the production rate as a function of demand and stock, which is the primary contribution of this paper. Predicting demand patterns and adjusting the production rate inherently involve vagueness. We use neutrosophic logic, an advanced mathematical tool for addressing imprecision in decision planning. Neutrosophic calculus-based analysis of uncertainty involved with the proposed model is the secondary contribution in this paper. Numerical results indicate that the proposed approach yields superior results compared to the crisp environment and traditional neutrosophic approaches for cost minimization. Furthermore, it is worth noting that Case 1 of the proposed neutrosophic differential approach guarantees better results than Case 2. (original abstract) |
| format | Article |
| id | doaj-art-c0df26ff77cf479aa2413bf1b60a2879 |
| institution | Kabale University |
| issn | 2081-8858 2391-6060 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wrocław University of Science and Technology |
| record_format | Article |
| series | Operations Research and Decisions |
| spelling | doaj-art-c0df26ff77cf479aa2413bf1b60a28792025-08-20T03:28:44ZengWrocław University of Science and TechnologyOperations Research and Decisions2081-88582391-60602025-01-01vol. 35no. 25592171711975Solution of an Uncertain EPQ Model Using the Neutrosophic Differential Equation ApproachMostafijur Rahaman0Rakibul Haque1Soheil Salahshour2Anna Sobczak3Fariba Azizzadeh4Shariful Alam5Sankar Prasad Mondal6Mohan Babu University, IndiaMaulana Abul Kalam Azad University of Technology, West Bengal, IndiaIstanbul Okan University, Istanbul, TurkeyThe Jacob of Paradies University in Gorzów Wielkopolski, PolandIslamic Azad University, Piranshahr (Urmia), IranIndian Institute of Engineering, Science and Technology, Shibpur, IndiaMaulana Abul Kalam Azad University of Technology, West Bengal, IndiaTime is a very crucial factor in controlling demand patterns for certain products. In manufacturing processes, the production rate must be regulated according to the demand pattern and available stock as a part of effective lot size management policies. We incorporate this fundamental idea for constructing the production rate as a function of demand and stock, which is the primary contribution of this paper. Predicting demand patterns and adjusting the production rate inherently involve vagueness. We use neutrosophic logic, an advanced mathematical tool for addressing imprecision in decision planning. Neutrosophic calculus-based analysis of uncertainty involved with the proposed model is the secondary contribution in this paper. Numerical results indicate that the proposed approach yields superior results compared to the crisp environment and traditional neutrosophic approaches for cost minimization. Furthermore, it is worth noting that Case 1 of the proposed neutrosophic differential approach guarantees better results than Case 2. (original abstract)https://ord.pwr.edu.pl/assets/papers_archive/ord2025vol35no2_3.pdf |
| spellingShingle | Mostafijur Rahaman Rakibul Haque Soheil Salahshour Anna Sobczak Fariba Azizzadeh Shariful Alam Sankar Prasad Mondal Solution of an Uncertain EPQ Model Using the Neutrosophic Differential Equation Approach Operations Research and Decisions |
| title | Solution of an Uncertain EPQ Model Using the Neutrosophic Differential Equation Approach |
| title_full | Solution of an Uncertain EPQ Model Using the Neutrosophic Differential Equation Approach |
| title_fullStr | Solution of an Uncertain EPQ Model Using the Neutrosophic Differential Equation Approach |
| title_full_unstemmed | Solution of an Uncertain EPQ Model Using the Neutrosophic Differential Equation Approach |
| title_short | Solution of an Uncertain EPQ Model Using the Neutrosophic Differential Equation Approach |
| title_sort | solution of an uncertain epq model using the neutrosophic differential equation approach |
| url | https://ord.pwr.edu.pl/assets/papers_archive/ord2025vol35no2_3.pdf |
| work_keys_str_mv | AT mostafijurrahaman solutionofanuncertainepqmodelusingtheneutrosophicdifferentialequationapproach AT rakibulhaque solutionofanuncertainepqmodelusingtheneutrosophicdifferentialequationapproach AT soheilsalahshour solutionofanuncertainepqmodelusingtheneutrosophicdifferentialequationapproach AT annasobczak solutionofanuncertainepqmodelusingtheneutrosophicdifferentialequationapproach AT faribaazizzadeh solutionofanuncertainepqmodelusingtheneutrosophicdifferentialequationapproach AT sharifulalam solutionofanuncertainepqmodelusingtheneutrosophicdifferentialequationapproach AT sankarprasadmondal solutionofanuncertainepqmodelusingtheneutrosophicdifferentialequationapproach |