Optimal production scheduling, case study: Guiness Ghana Brewery limited, Kumasi
| dc.contributor.author | Dankwah, Joseph | |
| dc.date.accessioned | 2012-06-08T13:15:31Z | |
| dc.date.accessioned | 2023-04-20T02:49:45Z | |
| dc.date.available | 2012-06-08T13:15:31Z | |
| dc.date.available | 2023-04-20T02:49:45Z | |
| dc.date.issued | 2011 | |
| dc.description | A Thesis Submitted to the Institute of Distance Learning, Department Of Mathematics In Partial Fulfilment of the requirement for the Award of the Master of Science Degree in Industrial Mathematics. | en_US |
| dc.description.abstract | As Production systems expand, there is a tendency for the scheduling activities to become complex, or at least more demanding with respect to the time required for their performance Previous production scheduling involves complicated iterative procedures. A new approach brings out the basic principle involved and leads to a simple solution. Production of a given commodity is to be scheduled for a regular and capacity to meet known future requirements while minimizing total production and inventory costs. For the objective function, I intend to find the optimum production schedule by minimizing the total production and inventory cost calculated through the production schedules of orders. The Northwest Corner Rule, the Least Cost Method, and the Vogel’s Approximation Method (VAM) were used to obtain an initial basic feasible solution (bfs). Improving solution to optimality was carried out using The Modified Distribution Method (MODI). The production was modelled as a balanced transportation problem and solved using an excel solver to obtain the optimal production schedule and the results reported. Results from the analysis indicated that the company need not carry out overtime production throughout the year but should apply scheduling to their production activities to ensure cost reduction, optimum utilization of capacity, proper inventory control management, overall quality output and above all optimality. | en_US |
| dc.description.sponsorship | KNUST | en_US |
| dc.identifier.uri | https://ir.knust.edu.gh/handle/123456789/3898 | |
| dc.language.iso | en | en_US |
| dc.title | Optimal production scheduling, case study: Guiness Ghana Brewery limited, Kumasi | en_US |
| dc.type | Thesis | en_US |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- DANKWAH JOSEPH.pdf
- Size:
- 1.03 MB
- Format:
- Adobe Portable Document Format
- Description:
- Full Thesis