| Naslov: | A modified bi-objective NSGA-II approach to sustainability in reconfiguration planning of dynamic cellular manufacturing systems |
|---|
| Avtorji: | ID Sibanda, M. M. (Avtor)
ID Padayachee, J. (Avtor) |
|---|
| Datoteke: |  APEM19-2_197-208.pdf (883,45 KB)
MD5: 540E0741C012FF25CA0568E279534297
 https://apem-journal.org/Archives/2024/Abstract-APEM19-2_197-208.html
|
|---|
| Jezik: | Angleški jezik |
|---|
| Vrsta gradiva: | Članek v reviji |
|---|
| Tipologija: | 1.01 - Izvirni znanstveni članek |
|---|
| Organizacija: | FS - Fakulteta za strojništvo
|
|---|
| Opis: | Manufacturing plant layouts are developed to facilitate optimal process flow. Modern manufacturing systems must meet present production demands and be adaptable to changes in process flow in the future. Dynamic Cellular Manufacturing Systems (DCMS) increase the flexibility of layouts by reconfiguring cell structure and equipment distribution, to effectively adjust part routings for optimal process flow. Frequent reconfiguring of plant layout may not always be feasible or economical, however, when new product releases are planned, reconfiguring the plant layout to optimise the work-flow may be extremely beneficial. This paper presents a Non-dominated Sorting Genetic Algorithm (NSGA-II) approach to solving a DCMS problem in a sustainable, and responsible manner. A bi-objective integer programming model was developed over multiple planning horizons with fluctuating product demands. This model aims to achieve sustainability by reducing the cost of production, mitigating the environmental impact of production, and minimise negative social impacts on labourers that work in such environments. A penalty function approach was used to enforce the model constraints during optimisation. This study details trade-offs between the economic factors of a DCMS, the environmental implications of reconfiguring such a system, and the social impacts of reconfigurations on the workforce. |
|---|
| Ključne besede: | sustainable manufacturing, cellular manufacturing systems, plant layout reconfiguration, optimisation, non-dominated sorting genetic algorithm, NSGA-II, penalty approach, bi-objective integer programming |
|---|
| Status publikacije: | Objavljeno |
|---|
| Verzija publikacije: | Objavljena publikacija |
|---|
| Poslano v recenzijo: | 17.01.2024 |
|---|
| Datum sprejetja članka: | 20.07.2024 |
|---|
| Datum objave: | 29.08.2024 |
|---|
| Založnik: | Chair of Production Engineering (CPE), University of Maribor Faculty of Mechanical Engineering |
|---|
| Leto izida: | 2024 |
|---|
| Št. strani: | str. 197-208 |
|---|
| Številčenje: | Vol. 19, no. 2 |
|---|
| PID: | 20.500.12556/DKUM-96821  |
|---|
| UDK: | 658.5 |
|---|
| COBISS.SI-ID: | 266584323 |
|---|
| DOI: | 10.14743/apem2024.2.501 |
|---|
| ISSN pri članku: | 1854-6250 |
|---|
| Datum objave v DKUM: | 29.01.2026 |
|---|
| Število ogledov: | 177 |
|---|
| Število prenosov: | 1 |
|---|
| Metapodatki: |    |
|---|
| Področja: | Ostalo
|
|---|
|
:
|
Kopiraj citat |
|---|
| | | | Skupna ocena: | (0 glasov) |
|---|
| Vaša ocena: | Ocenjevanje je dovoljeno samo prijavljenim uporabnikom. |
|---|
| Objavi na: |  |
|---|
Postavite miškin kazalec na naslov za izpis povzetka. Klik na naslov izpiše
podrobnosti ali sproži prenos. |
