TY - GEN
T1 - A Fuzzy Inference Model for Social-Sustainability Production Planning
AU - Zarte, Maximilian
AU - Pechmann, Agnes
AU - Nunes, Isabel L.
PY - 2021
Y1 - 2021
N2 - Production planning is a scheduling process to acquire, utilize, and allocate production resources to specific production activities in the most efficient way, meeting customer expectations. Due to, e.g., climate crisis, customer expectations are changing shift to be more sustainably produced products. Therefore, decision-makers have to adjust economic production planning goals according to social and environmental aspects. However, driven by financial market expectations, most enterprises still consider the economic dimension more important than the other two. Especially the social dimension has been neglect in previous approaches for sustainable production planning. The paper presents a concept of a fuzzy inference model (FIM) to assess the social-sustainability of production programs using expert knowledge. The concept shows the formulation of the FIM using common methods and fuzzy operators from the fuzzy set theory. The FIM determines the sustainability potential to improve the production program. The concept was applied in a case study. For the case study, the FIM has been implemented in a simulation model of a job shop learning factory.
AB - Production planning is a scheduling process to acquire, utilize, and allocate production resources to specific production activities in the most efficient way, meeting customer expectations. Due to, e.g., climate crisis, customer expectations are changing shift to be more sustainably produced products. Therefore, decision-makers have to adjust economic production planning goals according to social and environmental aspects. However, driven by financial market expectations, most enterprises still consider the economic dimension more important than the other two. Especially the social dimension has been neglect in previous approaches for sustainable production planning. The paper presents a concept of a fuzzy inference model (FIM) to assess the social-sustainability of production programs using expert knowledge. The concept shows the formulation of the FIM using common methods and fuzzy operators from the fuzzy set theory. The FIM determines the sustainability potential to improve the production program. The concept was applied in a case study. For the case study, the FIM has been implemented in a simulation model of a job shop learning factory.
KW - Human-systems integration
KW - Production planning
KW - Social-sustainability
KW - Sustainable development
UR - http://www.scopus.com/inward/record.url?scp=85112234800&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-79816-1_17
DO - 10.1007/978-3-030-79816-1_17
M3 - Conference contribution
AN - SCOPUS:85112234800
SN - 978-3-030-79815-4
T3 - Lecture Notes in Networks and Systems
SP - 133
EP - 140
BT - Advances in Human Factors and System Interactions - Proceedings of the AHFE 2021 Virtual Conference on Human Factors and Systems Interaction, 2021
A2 - Nunes, Isabel L.
PB - Springer
CY - Cham
T2 - AHFE Conference on Human Factors and Systems Interaction, 2021
Y2 - 25 July 2021 through 29 July 2021
ER -
