| Title |
Decision support method for dynamic production planning / |
| Authors |
Skėrė, Simona ; Žvironienė, Aušra ; Juzėnas, Kazimieras ; Petraitienė, Stasė |
| DOI |
10.3390/machines10110994 |
| Full Text |
|
| Is Part of |
Machines.. Basel : MDPI. 2022, vol. 10, iss. 11, art. no. 994, p. 1-17.. ISSN 2075-1702 |
| Keywords [eng] |
production planning ; decision support method ; production engineering |
| Abstract [eng] |
Small and medium-sized engineering production companies face challenges that are related to unpredicted rapid changes of availability of the work force, materials and equipment. Those challenges are especially difficult to solve for companies focusing on unit or batch production and when they are collaborating with customers who require short lead times. A four-month observation was carried out in a metal processing company in Lithuania to understand the most common rising problems and developing solution for computerised decision support systems. It was discovered that the company needs a computerised “employee centred” system for the improvement of the allocation of tasks to employees. Such a need proved to be the most urgent one, especially during pandemics. An algorithm for the analysis and automated allocation of the employees’ tasks has been developed and tested. The proposed algorithm is universal and may be applied in different SMEs for engineering production. |
| Published |
Basel : MDPI |
| Type |
Journal article |
| Language |
English |
| Publication date |
2022 |
| CC license |
|
